Information processing system, information processing method, and storage medium

Cross-reference of related applications

The request submitted 22 March 2013 JP2013-060062 Japanese priority Patent application priority, all the same by reference to the content.

Technical Field

This technology relates to an information processing device, the sensor device, the information processing system and storage medium. Background Art

To date, have been developed to help users with sensing or analysis with a plurality of of the movement of the production technology. In these technique, as a method, the user or other users use of statistical analysis (play). Statistical analysis of the a, determining the action pattern of the game, for example, in the is useful in the ball movement. By determining the operating mode of movement shown in the mode of the specific action to obtain. For example, under the condition of the tennis, can be such as the pitching, spike, forehands pumping ball and backhander pumping ball of such play is set up operation mode. That observed by determining the action pattern of the in, for example, can be easily in a quantitative manner the user how to make the play.

In these movement to the operation mode in the determination of the supporters in earlier by the user (such as a coach, scorekeepers or administrator) to. By observing the supporters, in order to visually confirm the user ways and recording a particular action. As to this kind of human motion analysis, a large number of necessary labor. Furthermore, the movement of the user, it is difficult to rely on their own analysis of movements.

Therefore, through the already proposed equipment of the user or users attached sensor device (top-mounting the acceleration sensor, gyro sensor, and so on) and analysis of the data output by the sensor the technical analysis action automatically. For example, Japanese Unexamined Patent application discloses No. 2012-157644, Japan has been the Patent application discloses No. 2012-130415 and Japan has been the Patent application discloses No. 2012-120579 discloses the basis of the action sensor output data to extract-wave of characteristic information of the technology.

Content of the invention

For example, in Japan Unexamined Patent application discloses No. 2012-157644 in technology disclosed in, in the extraction-wave characteristic information of the sensor output before the data of the search operation occurs in the timing of the passage of the wave of the processing. But in this case, repeat the search with the movement sensor output data corresponding to the feature in action the processing of the fragment, therefore, processing load will increase. Furthermore, because the fragment is not stable, so that the accuracy of the determining of action mode is not high. Japan has been the Patent application discloses No. 2012-130415 and Japan has been the Patent application discloses No. 2012-120579 made improvements to the problem.

It is desired to provide a novel and improved information processing apparatus, a novel and improved sensor device, novel and improved information processing system and novel and improved storage medium, can be through appropriately arranged in the analysis sensor (for detecting physical behavior of the sensor device) detection value and determines that the user of the mode of action of the fragment to be analyzed, to improve the accuracy of the determination.

According to one embodiment, the information processing system is described as including processing circuit, configured to:

Receives input data from the shock sensor, the impact sensor, on the basis of the impact of the impact on the sensor output data; and

The output action sensor identification from the time-series data of the target section, the motion sensor for sensing movement of the object, wherein

The target section comprises a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

According to the embodiment of a method, the method comprises:

Receives input data from the shock sensor, the impact sensor is disposed is based on the impact of the impact on the sensor to output the data;

Receiving from the motion sensor, the time-series data, the motion sensor for sensing movement of the object; and

Through the processing circuit of the identification of the time series data of the target, wherein

The target section comprises a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

Under non-transition condition computer readable storage device embodiment, the apparatus includes execution by the processor to configure the processor in order to realize the information processing method of instruction, said method comprising:

Receives input data from the shock sensor, the impact sensor is disposed is based on the impact of the impact on the sensor to output the data;

Receiving from the motion sensor, the time-series data, the motion sensor for sensing movement of the object; and

Through the processing circuit of the identification of the time series data of the target, wherein

The target section comprises a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

Description of drawings

Figure 1 is a schematic diagram of embodiments shown according to the technology of a SUMMARY of the information processing system;

Figure 2 is a schematic diagram of embodiments according to this technology is shown the action of a SUMMARY of the mode-determining processing;

Figure 3 is a block diagram of embodiments according to the technology shown in the information processing system of the illustrative function structure;

Figure 4 is a schematic diagram of the embodiment according to the present technology described the impact sensor and the motion sensor;

Figure 5 is flowchart of shown according to the technology of processing of the embodiment of the example;

Figure 6 is flowchart of shown Figure 5 an example of the reference example;

Figure 7 is a schematic diagram of described Figure 5 in the example of the arrangement of the passage;

Figure 8 is a schematic diagram of described Figure 6 in the example of the arrangement of the passage;

Figure 9 is graph of the embodiment shown according to the technology of sensor data of the specific example;

Figure 10 is graph of the embodiment shown according to the technology of sensor data of the specific example;

Figure 11 is a schematic diagram of the embodiment shown according to the technology of the 1st example of the screen;

Figure 12 is a schematic diagram of embodiments according to this technology is shown the action of the other exemplary display mode;

Figure 13 is a schematic diagram of showing the embodiment of according to the present technology, the impact position is changed according to the operation mode display example;

Figure 14 is a schematic diagram of the embodiment shown according to the technology of the impact position display is inverted display example;

Figure 15 is a schematic diagram of the embodiment according to this technology is shown of an example of the distribution display point of impact;

Figure 16 is a schematic diagram of showing the embodiment of according to the 2nd example of the screen;

Figure 17 is a schematic diagram of showing the embodiment of according to the 3rd example of the screen;

Figure 18 is a schematic diagram of showing the embodiment of according to the 4th example of the screen;

Figure 19 is a schematic diagram of the embodiment according to the technology shown in the sensor of the example of the hardware structure of the device; and

Figure 20 is a schematic diagram of the embodiment according to the present technology shows the analysis of the example of the hardware structure of the device.

Mode of execution

Reference with photos detailed description of the preferred embodiment of the present disclosure. Note, in this specification and in the attached drawing, the Figure shows the marker indicating the same function and structure are basically the same structural element, and omit the repeated explanation of these structural elements.

Described in accordance with the following sequence.

1. Overview

2. Functional structure

3. Processing flow

4. Specific example

5. Examples of the output information

6. Hardware structure

7. Supplementary

(1. Overview)

First of all, with reference to Figure 1 and Figure 2 embodiments described an overview of the technology. An overview, including the description of the information processing system according to embodiments of the description and a SUMMARY of the information processing system through the action of the description of the outline of the recognition processing.

(Overview of the information processing system)

Figure 1 is a schematic diagram of embodiments shown according to the technology of a SUMMARY of the information processing system. With reference to Figure 1, information processing system 10 comprises a sensor device 100 and analyzing device 200.

Sensor device 100 is mounted, directly or indirectly, the user of the movement of. When the sensor device 100 is directly mounted to the user, as shown, may, for example, the sensor device 100 is configured with muffetee shape, and can be directly mounted on the user's body. The sensor device 100 when the indirect mounting to the user, the sensor device 100 is wound, sewing or attached to the movement of the user held or worn equipment (in tennis circumstances, such as racket, clothing, shoes, a wrist band, and so on), or can be in its prior included in the equipment.

Here, sensor device 100 obtaining indication sensor 100 own physical behavior (position, speed, acceleration, etc.) of the sensor information. Physical behavior of the user or equipment in the information reflected in the sensor. In this embodiment, sensor device 100 comprises at least two sensor to obtain this kind of sensor information. Sensor device 100 1st sensor detects the user or equipment from transmission of the impact. 1st sensor may include, for example, is used as the impact sensor to a single axis acceleration sensor. On the other hand, in order to compared with the 1st 2nd sensor with higher resolution of the sensor detecting the resolution of the sensor device 100 acts. 2nd sensor may include, for example, used as a motion sensor of the three-axis acceleration sensor, gyro sensor and geomagnetic sensor. In addition to the 1st and 2nd sensor outside of the sensor, the sensor device 100 can further include detecting the acceleration, angular velocity, vibration, temperature, time or position of a sensor or a plurality of sensors (for example, with the latitude and longitude of the ground surface position or and the stadium of the relative position, and so on). Sensor device 100 will be obtained from these sensors, the time-series data is transmitted to the analysis device 200.

Analysis device 200 analysis from the sensor device 100 transmission, the time-series data, in order to at least determining the action pattern of the user. Analysis device 200 is shown as a server on the network. However, for example, any device can be used, as long as the analysis device 200 is provided with through the use of processor, the central processor (CPU), etc. the calculation of the function of the analysis data to the information processing device. As another example, analysis device 200 may be, for example, such as intelligent telephone, flat terminal or a variety of personal computer (PC) terminal device. When the analysis device 200 is embodied as a terminal device, analysis device 200 can output the determination of the instructed to the user, the information of the action pattern. Or, when the analysis device 200 is implemented as a server, analysis device 200 can be, for example, to use in the home, such as a user terminal device such as the client terminal 300 of the transmission is instructed to the user, the information of the determined operation mode. The result of determination by the operating mode-based, analysis device 200 can output indicating, for example, how many times the user movement of the statistical information, or can be in each action output indication of user tendency (for the ball the movement of, for example, by equipment hitting position, to the ball or rotary, etc.) information.

When the analysis device 200 as an example, as shown in the Figure being implemented as a server, the function of the server can be through a single server device to achieve, through the network connection may also be a plurality of server device to distribution and realize. Furthermore, analysis device 200 by the function of the can and a server connected to a network and distribution terminal device.

(Action mode determining processing overview)

Figure 2 is a schematic diagram of embodiments according to this technology is shown the action of a SUMMARY of processing mode. In the operation mode determining process, as shown in Figure 2, the sensor device 100 in two of the time series data output by the sensor 1001 and time sequence data 1003 is used as an input.

In the example shown in the Figure, time sequence data 1001 including 1st acceleration sensor output data (uniaxial). 1st acceleration sensor is the so-called impact sensor. 1st acceleration can be detected because the impact with the higher frequency and greater dynamic range of the acceleration, while acceleration is not particularly high resolution. On the other hand, time sequence data 1003 includes 2nd acceleration sensor output data (third-axis). 2nd acceleration sensor is the so-called motion sensor. 2nd acceleration sensor can detect fixed of gravity comprising, for example, with a lower frequency component of the acceleration, and has high acceleration resolution, although the dynamic range is relatively narrow (due to is within the detection range of impact may be acceleration of).

For determining the identification of the operating mode in the calculation, is mainly used with high-resolution, the time-series data 1003. Furthermore, in this embodiment, as the time sequence data 1001 pretreatment to actioner section setting processing (the collision detection processing). In the processing of action, based on time series data 1001 set time sequence data 1003 analysis of the target segment. That is to say, through the processing, the time sequence data 1003 in the computation of the target identification of restrictions based on time series data 1001 is the analysis of the target segment.

In many sports, as a operation mode is determine the target of the action may be, for example, a user equipment or the striking of the ball, the user to the ground surface, or a collision with other users. Because this kind of movement results in applying to the user or equipment due to a collision of the impact and vibration, such as syringe can be any part of one side of the designated as and the action corresponding fragment (fragment action): at this point, the impact sensor, the time-series data 1001 vibration is detected in.

After processing the actioner is, target segment from the setting analysis of the sequence data extraction time 1003 characteristic. Here, for example, by the time sequence data 1003 to signal processing to extract frequency characteristics of the signal waveforms of the statistical characteristics or time waveform, such as the mean, spread, minimum and maximum values. For example, Figure 10 showing B A and of the ball and the pumping action of the sensor output waveform. Of the comparison of the waveform, specifically, in such-ω ω-X and Z in the time waveform of the amplitude of the, different characteristics. Before the extraction is, the deletion of the signal waveform can be part of the interpolation. The extracted feature may be subject to statistical processing, such as normalization.

Subsequently, the extracted recognition algorithmic the characteristics of the. The identification calculation is a calculation processing: by reference to the previously prepared for the recognition dictionary (motion model) designated corresponding to the extracted characteristics to the action pattern recognition operation. For example, to each motion can generate the recognition dictionary, through the setting of the user and, classification can be switched over. As identification calculation, for example, through the machine learning can be used (such as neural network, a support vector machine (SVM), k Bayesian classification and neighbor identifier) from the data form the identification parameter of the method is not based on rules.

As in the time sequence data 1003 in, from the time sequence data can be 1001 extracting feature, and the extracted characteristic for the identification calculation. In other words, the impact sensor, the time-series data 1001 can be used for not only is the action of the passage, also together with the action sensor can be used for the time-series data 1003 the identification calculated together.

As to identify the result of the calculation, continuing the determining of action mode, output action mode information 2001. Operation mode information 2001 is, for example, as shown for the notification of a user of the information of the action pattern (the Figure shows example, shown the tennis of the batting type = forehands pumping ball), and may further include the above-mentioned statistical information or information indicating that the user habits.

In the following table 1 shows the construction of an example of the definition of the operation mode. Therefore, the definition of the operation mode of each movement, can also be defined operation mode to the kinds of sports. For each motion or motion types can produce the aforesaid recognition dictionary, through the setting of the user and, sport or kinds of sports can be switched over. The action pattern of the shown here is only an example, therefore, in various other movement may be defined in the action pattern of the various types.

Table 1

(2. Structure function)

The following with reference to Figure 3 and Figure 4 embodiments described according to this technology in the information processing system include the functionality of the device structure.

Figure 3 is a block diagram of embodiments according to the technology shown in the information processing system of the illustrative function. The following with reference to Figure 3 the function of the described structure of each device. For realizing these functions are the hardware structure.

(Sensor device)

Sensor device 100 includes a sensor 101, a pre-processing unit 107 and communication unit 109.

Sensor 101 includes an impact sensor 103 and motion sensor 105. According to this embodiment, the impact sensor 103 that the sensor device 100 from the user or equipment is detected in the impact of the transfer of the 1st sensor, shock sensor 103 can include single-axis acceleration sensor. In this embodiment, motion sensor 105 to 1st sensor is compared with the resolution of the higher resolution detecting sensor device 100 2nd sensor acts, and can include three-axis acceleration sensor, gyro sensor or a geomagnetic sensor. In addition to the impact sensor 103 and motion sensor 105 in addition, sensor 101 can further include such as the temperature sensor, the clock, or global positioning system (GPS) receiver of the other sensor.

Here, with reference to Figure 4 to further describe the sensor 101 included in the impact sensor 103 and motion sensor 105 the difference between. Figure 4 is a schematic diagram of the embodiment according to the present technology described the impact sensor and the motion sensor. In the description below, the described impact sensor 103 and motion sensor 105 is both the situation of the acceleration sensor, but the same applies to the use of other types of sensor.

With reference to Figure 4, with a motion sensor 105 compared with the, impact sensor 103 has a greater dynamic range of the acceleration values. For example, the impact sensor 103 can measure because of the applied to the user or equipment of the impact of a major speed immediately. However, the impact sensor 103 is lower than the resolution of the acceleration of the motion sensor 105 a. Furthermore, impact sensor 103 does not detect low frequency the acceleration change. For example, because the frequency is low, so the impact sensor 103 does not detect the user-wave mounting the sensor device 100 equipment or in a part of the body when the acceleration change. Furthermore, because of the gravity of the earth is not the acceleration of the vibration of the fixed component, therefore, the impact sensor 103 does not measure the acceleration. On the other hand, by the impact sensor 103 can measure acceleration change of high frequency, and the motion sensor 105 compared with the, impact sensor 103 can detect a high frequency. For example, the user or equipment can detect the frequency components of the of the eigenfrequency.

On the other hand, with the impact sensor 103 compared with the, motion sensor 105 with a narrower dynamic range of the acceleration values. Therefore, for example, applied to the user and equipment due to the presence of the impact of the speed in the midst of a immediately beyond the motion sensor 105 can be the possibility of detection range. Furthermore, the frequency of the on acceleration changes, motion sensor 105 can only detect than the impact sensor 103 frequency is more low frequencies. However, motion sensor 105 is higher than the resolution the acceleration of the impact sensor 103 a, and is sufficient for the operation mode to the degree of accuracy of determining the output acceleration data. Furthermore, motion sensor 105 can detect the impact sensor 103 is not capable of detecting low frequency of the acceleration change. For example, motion sensor 105 can detect the user-wave mounting the sensor device 100 equipment or of a part of the body when the change of acceleration. Furthermore, motion sensor 105 can also detect because of the gravity of the earth caused by acceleration. Therefore, for example, through the use of such as motion sensor 105 in this way, the three-axis acceleration sensor, can be designated as a reference the direction of the force of gravity is in the direction of acceleration of the.

Impact sensor 103 and motion sensor 105 can be changed by changing, for example, in accordance with the work of the same principle or sensitivity of the acceleration sensor to realize shaft quantity. These sensors may, for example, through the use of piezo-electric resistance type or electrostatic capacitance type acceleration sensor to realize. Can be will be used as impact sensor 103 of the sensitivity of the acceleration sensor is set below is used as the motion sensor 105 the sensitivity of the acceleration sensor. Of course, the impact sensor 103 and motion sensor 105 can work according to different principle to realize an acceleration sensor. As noted above, motion sensor 105 can further include gyro sensor or a geomagnetic sensor.

With reference to Figure 3, a pre-processing unit 107 to the sensor 101 detects the pre-processing of the data. Pre-processing may include, for example, amplifying the detected data or filter is equal to or less than the threshold value data. Through this kind of processing, pre-processing unit 107 based on includes an impact sensor 103 of the detection value of the time-series data and 1st, including motion sensor 105 of the detection value of the 2nd time sequence data, to be transmitted to the analysis device 200 analysis target data.

In this embodiment, sensor device 100 of the pre-processing unit 107 and analyzing device 200 of the pre-processing unit 203 as a fragment of one of the unit. Fragment setting unit based on includes an impact sensor 103 of the detection value of the time series data 1st, including the motion sensor 105 2nd the detection value of the time series data of the analysis is arranged in the target segment. In the processing, the above-mentioned action is carried out (analysis target fragment corresponding to the action segment).

Here, when the pre-processing unit 107 when the as fragment setting unit, pre-processing unit 107 can be to the communication unit 109 is provided only in the target fragment analysis 2nd time sequence data as analysis target data. When the communication unit 109 of the transmission target is limited to analysis of the data of the target segment, it may be desirable to reduce the power consumption by reducing the effect of the amount of traffic. Or, the pre-processing unit 107 can utilize the time sequence data of the time-stamp, etc. to produce the used to indicate the detection analysis of the independent data (separate data) target segment, and will as an analysis target data together with the independent data provided with 2nd time sequence data to the communication unit 109.

However, when the analysis device 200 of the pre-processing unit 203 as fragment setting unit, and is not pre-processing unit 107 when the as fragment setting unit, pre-processing unit 107 such as the use of the time stamp will be through the above-mentioned pre-processing of the time series data and 2nd 1st time series data associated with each other, and the associated data as analysis target data provided to the communication unit 109.

Communication unit 109 will pre-processing unit 107 provides analysis target data is transmitted to the analysis device 200. For example, can utilize the wireless communication to transmit analysis target data. No special restrictions to the communication method. However, for example, when the analyzing device 200 is when the server on the network, can use the Internet, and so on. When the analysis device 200 located in the sensor device 100 is in the vicinity, for example, can utilize Bluetooth (registered trademark) or wireless local area network (LAN). Because the analysis target data do not necessarily have to real-time transmission to the analysis device 200, therefore, may, for example, through the wired communication the analysis target data is transmitted to the analysis device 200, for example, in the after the end of the game.

(Analysis device)

Analysis device 200 includes a communication unit 201, a pre-processing unit 203 and analyzing unit 205. Furthermore, analysis device 200 may include a storage unit 209, and an output unit 211. These function is described below to realize the hardware structure.

Communication unit 201 receiving sensor device 100 transmission analysis target data. As on the sensor device 100 the stated, can be, for example, using the network communications (e.g., the Internet), a wireless communication (e.g., Bluetooth (registered trademark) or wireless LAN or wired communication to transmit analysis target data. Communication unit 201 the received sensor information provided to the pre-processing unit 203. As described below, the pre-processing unit 203 is, the sensor information can be provided directly to analyzing unit 205.

Pre-processing unit 203 to the communication unit 201 pre-processing of the received data. For example, pre-processing unit 203 can be used as the above-mentioned fragment setting unit. When the passage serving as the unit, pre-processing unit 203 based on communication unit 201 receives the 1st time sequence data (from the sensor device 100 of the impact sensor 103 to obtain the data), the communication unit 201 receives the same 2nd time sequence data (through sensor device 100 of the motion sensor 105 the acquired data) is set in the analysis target fragment (fragment action). Pre-processing unit 203 can only will be set up in the target fragment analysis of 2nd time sequence data is supplied to an analysis unit 205. Or, the pre-processing unit 203 can utilize the time sequence data of the generated time stamp is used for instructions on the analysis of the independent data target segment, and together with the 2nd time sequence data together with the independent data is supplied to an analysis unit 205.

When the sensor device 100 of the pre-processing unit 107 when the as fragment setting unit, analysis device 200 pre-processing is not necessary, therefore, in some cases, no pre-processing unit 203. Or, the pre-processing unit 203 acts not only as fragment setting unit, and can replace the sensor device 100 of the pre-processing unit 107, such as amplifying data, is equal to or less than the threshold value of the filtered data of such processing.

Analyzing unit 205 based on the fragment setting unit (pre-processing unit 107 or 203) is arranged in the passage to the analytical objectives of 2nd time sequence data (from the sensor device 100 of the motion sensor 105 the acquired data) for analysis, and includes determining the action pattern of the user operation mode determining unit 207. In addition to the 2nd time-sequence data, the operating mode determining unit 207 can utilize the 1st time sequence data (from the sensor device 100 of the impact sensor 103 acquired data) to determine the operation mode. Furthermore, analyzing unit 205 on the basis of in addition to the operating mode determining unit 207 from the outside sensor device 100 to analyze the data provided by the function of the play of the user. Analyzing unit 205 can be the results of the analysis is stored in the storage unit 209 in.

Where necessary, to install the output unit 211. In the Figure 1 shows example, analysis device 200 is implemented as a server. Therefore, for example, analyzing unit 205 the results of the analysis (including on the information of the user operation mode) from the communication unit 201 is transmitted to the terminal device and the output from the terminal device. On the other hand, when the through such as intelligent telephone, flat terminal or the terminal device PC to achieve analysis device 200 when the function of the at least a portion of, the analyzing device 200 outputs the analysis result is installed in the output unit 211, in order to output the results of the analysis of the Image or audio. The results of the analysis is displayed as an Image, indicating that the user Image may include an Image or text of the operating mode. Will be described below from the output unit 211 an example of the output information.

(3. Processing flow)

The following with reference to Figure 5 to Figure 8, is compared with the reference example according to the present technology described processing of the embodiment of the example.

Figure 5 is flowchart of shown according to the technology of processing of the embodiment of the example. With reference to Figure 5, analysis device 200 of the pre-processing unit 203 (or sensor device 100 of the pre-processing unit 107 ; although in some cases only representatively described pre-processing unit 203, but can also be interpreted as a pre-processing unit 107) 1st time sequence data obtained from the impact sensor 103 (step S101) the detection value of the.

Furthermore, pre-processing unit 203 determines in step S101 whether or not the detected value exceeds a predetermined threshold value (step S103). Here, when the detected values exceed a predetermined threshold value (is), the pre-processing unit 203 of the estimated impact point is the time point (step S105), and allows the processing to the following action recognition processing. On the contrary, if in step S103 to oscillate in more than a predetermined threshold value has not been detected (no), then the pre-processing unit 203 in the subsequent time window to obtain impact sensor 103 of the detected value, and no longer action recognition processing (step S101).

When in step S105 the estimated impact point, pre-processing unit 203 is set up in order to impact action of the centre passage. For example, in each can be recognized in the operation of the device, can use the longest fragment as a standard the action of the impact point is the length of the fragments move back and forth. For example, in the tennis example, when observing them from the impact point, the display characteristic of the first action of the action pattern is a backhander intercept, utilize backhander outplaying the characteristic of the starting point of action (for example, impact point 0.5 seconds before) as starting point to set up action segment. Similarly, when observing them from the impact point, is subsequently continue to the action pattern of the movements is forehands chop time, the characteristic of using forehands chopping the end point of the action (for example, impact point 1 seconds after) to set as the end point of movement the passage. That is to say, the length of the motion segments each action is arranged to include action features of the pattern.

Furthermore, analyzing unit 205 from the setting of the characteristic vector fragment extracting action (step S109). Through the sensor device 100 of the pre-processing unit 107 performing step S101 to step S107 when the treatment of, in the step S107 and step S109 at least the action of the passage between the data from the sensor device 100 is transmitted to the analysis device 200. In the step S109 that the characteristic can be extracted from the frequency characteristics of the signal waveforms, or statistical features of the waveform, such as the mean, spread, minimum and maximum values, as mentioned above. For example, Figure 10 showing B A and of the ball and the pumping action of the sensor output waveform. In comparing the sensor output waveform, such as ω-ω-X and Z in the time waveform of the amplitude of the different characteristics of the special shown. Before the extraction is, the deletion of the signal waveform can be part of the interpolation. The characteristic of the statistical processing can be carried out, for example, the normalized.

Furthermore, analyzing unit 205 based on step S109 in discerning the characteristic quantity extracted (step S111). As mentioned above, with reference to the recognition dictionary prepared in advance, for example, through the machine learning can be utilized (such as neural network, SVM, k Bayesian classification and neighbor identifier) from the data form the identification parameter of the method is not based on rules, identification calculation. Thereafter, analysis unit 205 outputs the recognition calculation result (step S113). Identifying the calculated result can be stored in the storage unit 209 in. Thereafter, analysis results can be transmitted to the user via the communication unit of the terminal device, can also be isolated from the analysis device 200 own output unit 211 output.

In this embodiment modification example, other steps can be used to replace the above-mentioned step S103 and step S105 in the estimated impact point. For example, the detection value of the impact sensor in the time sequence data of the Fourier transform and detection comprises mounting the sensor device 100 of the user or equipment is the intrinsic frequency of the, impact points can be estimated in the now passage, and in the center of the fragment is fragment action.

(Reference example)

Figure 6 is flowchart of shown Figure 5 an example of the reference example. In Figure 6 in the example shown, the impact sensor 103 is not used for processing the detected value (sensor device 100 does not include the impact sensor 103), and does not carry out a pre-processing unit 203 (or pre-processing unit 107) in the arrangement of the passage.

In the example shown in the Figure, analysis unit acquires the detection value of the action sensor (step S201). In the reference example, the detection value of the sensor as a unique action of the time-series data is provided. Furthermore, analysis of the action unit is set up (step S203). Here, because attempts not likely 5 provided as an example of the impact sensor 103 of the detected value, the analysis unit in the absence of the action of the fragment. For example, the analyzing unit is obtained from the motion sensor in accordance with the time sequence data is the starting point of action of the sequence of starting fragments. For example, can Image 5 is provided, as in the example of the action of the length of the fragment.

Furthermore, Image 5 as in the example, analysis of the characteristic vector fragment extracting from the operation unit (step S109), and also to identify calculation (step S111). However, because it is in the no-clue the basis of the step S203 the movements in fragment, therefore, in some cases not be in step S111 in the recognition of the recognizing operation mode is calculated. On the other hand, in many cases, and the actual no actioner the characteristic of the corresponding action, and the operating mode of the identification calculation is not recognizable.

Therefore, analysis unit determines whether the identification action has been identified in the calculation (step S205). If the identification the action (is), the Image 5, as in the example, the analyzing unit of the results of the outputs the recognition result (step S113). On the contrary, if in step S205 is not recognizing operation, the reset action of the analyzing unit (step S207). For example, by the step S203 (or the previous step S207) the fragment offset is set in a predetermined time to reset action segment. Fragments for the reset action, re-performing step S109 and step S111 analysis processing.

Figure 7 and Figure 8 is a schematic diagram of describe the above-mentioned Figure 5 and Figure 6 in the example of the arrangement of the passage. The following, reference to the Figure described according to the embodiment of the advantages of processing compared with the reference example.

In this embodiment, as shown in Figure 7, on the basis of the impact sensor, the time-series data 1001 is, the time-series data action sensor 1003 the movements in segment 1005. Therefore, for example, can be from the beginning of the movement segment 1005 in the characteristic is very likely that the movement (for example the user's equipment or body to the ball hitting, user to the surface of the tread, or the action of collision of the other user) fragment.

On the other hand, in Figure 8 is shown in the reference example, the motion sensor is not used for the time-series data 1003 is set in action segment 1005 clue. Therefore, for example, as shown in Figure 6 the step S203 in the stated, repeatedly reset to set up by the action of that fragment, and thus find appropriate actions fragment. In fig. 8 in the example shown, the action set up sequentially fragment 1005a, 1005b and 1005c. When one of the characteristic vector of action of the "action similar" indicating characteristic is deployed and is, after it is determined that the motion segment of the fact that the action of the appropriate fragments.

In the aforesaid Figure 7 and Figure 8 two example, itself can be carried out the determination of the operation mode. However, in Figure 8 is shown in the reference example, from a statistical point of view, in order to properly set up a movement passage, through a plurality of times to the action of that fragment is repeated identification calculation. Therefore, the operating mode is determined to be computational cost may be high. Furthermore, when the in order to inhibit the computational cost of updating actioner the offset width (Figure 8 example is shown in fragment 1005a → fragment 1005b and fragment 1005b → fragment 1005c offset width) when the is provided with a large, for example the possibility of so: actioner section of the action of the appropriate fragments through the temporarily, thereby reducing the accuracy of the determining of action mode.

On the other hand, in Figure 7 shown in the example of the embodiment, can be set up appropriate action from the beginning of the fragment. Therefore, without reducing the accuracy of the determining of action mode the computing cost can be suppressed. However, in this embodiment example, as shown in Figure 7, on the basis of the impact sensor, the time-series data 1003 to set the action segment. Therefore, the arrangement of the operation is difficult to be applied to fragments in the absence of the impact sensor detecting the impact of the action of the condition, such as air swing. When this kind of operation must be identified, can using chart 8 shown in the processing in the reference example.

As noted above, motion sensor on the dynamic range of the acceleration is relatively small. Therefore, the impact applied to the user or equipment, because acceleration exceeds the dynamic range, therefore, in many cases to not accurately detect the acceleration. Therefore, it is difficult to the same sensor as the shock sensor and the motion sensor. Therefore, in this embodiment, as an independent sensor by the impact of the impact sensor is used to detect, and the detection of the action of the impact of the fragments used for setting. When taking into account the movement of a nature or the characteristic of the sensor, because of the impact acceleration in movement within the dynamic range of the sensor, can be the same sensor as the shock sensor and the motion sensor.

(4. Specific example)

Furthermore, with reference to Figure 9, Figure 10 and A B in the described embodiment according to the present technology the specific example of the sensor data.

Figure 9 is graph of shown according to the technology of sensor data of the embodiment of a specific example. In Figure 9 in, is shown in accordance with the time sequence mode impact sensor acceleration data (impact), three-axis acceleration sensor (a sensor) acceleration data (a-X, and a-Y a-Z) and three-axis gyro sensor (the action sensor is the same) the angular velocity data (ω-X, ω-Y and Z-ω).

In this embodiment, as mentioned above, based on the impact sensor, the time-series data of the time series data of the sensor is set in action segment 1005. In this example, due to the application of the impact sensor detecting the impact of the user or equipment of the high-frequency acceleration, however, the impact sensor is not detecting other low-frequency or fixed component of the acceleration. Therefore, for example, when the impact sensor, the time-series data in the display any changes, can be regarded as a time point of impact change point, that is to the impact point. In the example shown in the Figure, the impact sensor, the time-series data display in the point of change is automatically set to the point of action segment 1005.

On the other hand, in the in addition to the action segment 1005 in the fragment, also display the action sensor data or acceleration of the change in the angular velocity data. For example, as shown in the Figure the fragment 1007a, 1007b and 1007c is not actioner section. However, the display in the amplitude of the acceleration or the angular velocity of the same as the change of the degree of action. For example, the impact of not using the reference data of the sensor of the example in the processing of the operating mode is determined, such as the above-mentioned Figure 6 and Figure 8 shows, these fragment can be a particular action or suspicious fragment does not occur. That is to say, although a particular action in fact occur in the movement segment 1005 in, however, there is an erroneous cognitive action also present in the fragment 1007 the possibility of in. In this embodiment, because in particular movements under the impact conditions, suspicious fragment can be excluded from the identification of the goal, and computational cost can be suppressed to improve the accuracy of the determining of action mode.

Figure 10 the A and B is shown according to the technology of sensor data of the embodiment of the curve chart of a specific example. In Figure 10 and A in B of, in accordance with as in Figure 9, the time-series manner, acceleration data of the impact sensor is shown (impact), three-axis acceleration sensor (a sensor) acceleration data (a-X, and a-Y a-Z) and three-axis gyro sensor (the action sensor is the same) the angular velocity data (ω-X, ω-Y and Z-ω).

In fig. 10 in the and A B, tennis forehands driving are respectively shown of the situation and tennis serve as corresponding to the operation mode of the example of the sensor data. In the two example, the motion sensor, the time-series data in the waveform display feature is, however, based on the impact sensor the time series of the movements of the set up of the data fragment 1005 covering characteristic waveform. According to these example, can be understood, according to the present embodiment is based on the impact sensor of the fragment of data to improve the action of the accuracy of the determining of action mode and inhibiting calculation cost is effective.

(5. Examples of the output information)

Furthermore, with reference to Figure 11 to Figure 18 the example treats described according to the technical implementation of the example of the output information. According to the embodiment of the information may include, for example, to be output as an analysis device for indicating 200 analysis unit 205 the results of the analysis of the action pattern of the information, however, various other information can be added. Because adding information, for example, can be appropriately utilized to produce the prior art, therefore, in the description below mainly describe the information to be output, to omit the method of adding information of the detailed description.

In the description of below, mainly in the description of the screen is displayed in the display, however, according to the present technology of the embodiment of information to be output is not limited to the on-screen display of an Image or text. For example, the information from the speaker can be output as an audio, the information can be output through the lamp, and the like in addition to the visual information of the images, can also be through the vibration output the information. As mentioned above, for example, when the analyzing device 200 is terminal device, can be from their own analysis device 200 the output unit output the information. When the analysis device 200 is when the server on the network, can be a server on the network from the client terminal device is connected with the output unit output the information.

Figure 11 is a schematic diagram of the embodiment shown according to the technology of the 1st example of the screen. With reference to Figure 11, screen 2100 includes a mode display 2101, waveform display 2103, impact position display 2105 and hitting a ball value display 2107.

The operation mode display 2101 display analysis device 200 in the operation mode is determined (in the screen expressed as striking-type). In the example shown in the Figure, display the determined movement mode is the "forehands pumping ball" facts. The operation mode display 2101 may include, for example, shown the action icon 2102a and 2102b.

Figure 12 is a schematic diagram of the action pattern is shown display 2101 of another example. In Figure 12, , shown operating mode display 2101a "spike", the operating mode display 2101b "backhander pumping ball" and motion mode display 2101c "forehands pumping ball". Of course, the action mode display 2101 is not limited to these example. For example, if table 1 instantiated, in regard to item "tennis" many other operation mode may be defined, for the other item "baseball" and "football" operation mode can also be defined. For the definition of in this way, each operation mode operation mode can be arranged on the all display 2101.

Again with reference to Figure 11, for example, waveform display 2103 display through the sensor device 100 of the sensor 101 detection of the waveform of the time-sequence data. For example, the waveform display 2103 displayed as a visual effect. In the example shown in the Figure, the impact sensor, the time-series data of the waveform display to the waveform display 2103. However, the action sensor can also display the waveform of the time-series data, or display these two kinds of waveforms.

Impact position display 2105 for determining display through the independent processing of the operating mode is designated, the location of the ball striking bat (collision position). As an example shown in the Figure, when the action mode is the hitting action of the (driving), due to a collision position display 2105 of the display, the user can understand the impact position. For example, the impact position can be obtained is indicative of a desired position or offset from the illustrative position information. Hitting the object is not necessarily a appliance, can also be a part of the body of the user, for example, arm or hand of the user (for example, a handball). Can also be used for other apparatus other sports (such as baseball bat, golf club).

Figure 13 is a schematic diagram of the shown mode change impact position display 2105 example. In Figure 13 in, is shown in the operating mode of the "spike" impact position display 2105a, the action mode is the "backhander pumping ball" impact position display 2105b and the operation mode is the "forehands pumping ball" impact position display 2105c. As in example, impact position display 2105 is displayed of the direction of the racket (the rotation angle of the plane direction) the possible different operating mode. In each kind of operation mode under the condition of actual direction along the close to the display in the direction of the impact position display 2105 racket, the user can more visual geographical xie Qiu impact position. By operating the slider bar 2106, the user can freely change the direction of the racket.

Figure 14 is a schematic diagram of the display point of impact shown checks 2105 marking included in the check-box the "turnover" display example. In this case, front and rear to the racket reversed and the impact position display 2105 display. In the example shown in the Figure, shown as "spike" operation mode of the impact position display 2105d, the action mode is the "backhander pumping ball" impact position display 2105e and the operation mode is the "forehands pumping ball" impact position display 2105f. In all display, and Figure 13 is shown in each of the impact position display 2105 compared with, the shaft by handle, by rotating the racket 180 degrees, and the racket reverse.

Again with reference to Figure 11, hitting a ball value display 2107 on through the independent operation mode for determining the operation mode of the specified processing of (here is batting) coordinate display of various means. In the example shown in the Figure, display the possibility of hitting the best hitting point, striking force, the speed of swinging and rotary types, but can also display other index value.

Figure 15 is a schematic diagram of other display of the example as shown the impact position distribution display 2111 example. Impact position distribution display 2111 shown together with the action pattern of the ball (in the previous example, is spiking, backhander pumping ball, forehands pumping ball, etc.) designated together with the statistical distribution of the point of impact. Through the batting type selecting 2112 target set can be changed. For example, at the point of impact distribution display 2111a in, through the batting type selecting 2112 "all" is selected, and display for all batting type collection of the distribution of the point of impact. Furthermore, for example, can be according to the color classification of each frequency of the distribution of the impact position to display, as shown.

On the other hand, in the collision position distribution display 2111b in, through the batting type selecting 2112 "forehands pumping ball" is selected, and displaying the batting type (can be identified as the operation mode) for the "forehands pumping ball" of the distribution of the point of impact. Furthermore, the impact position distribution display 2111c in, through the batting type selecting 2112 "backhander pumping ball" is selected, and displaying the batting type is "backhander pumping ball" is collected the distribution of the point of impact. Through these display, the user can to each kind of batting type visually recognize the distribution of the point of impact. For example, when the display impact position deviates from the desired position or the trend of an exemplary position, the user can be aware of the correct point of impact at the same time make play.

Figure 16 is a schematic diagram of showing the embodiment of according to the 2nd example of the screen. With reference to Figure 16, screen 2200 includes batting-type ratio display 2201. In this embodiment, the operating mode can be determined by determining the type of batting (racket-type), therefore, not only a simple impact counting (calculate the number of times of batting or bat), and a detailed description or swinging the bat can be through the batting type ratio display 2201 to display. By operating the slider bar 2203, can be from the start, and so on, from the past day, week, month or year batting-type ratio selected display 2201 target cycle.

Figure 17 is a schematic diagram of showing the embodiment of according to the 3rd example of the screen. With reference to Figure 17, the screen 2300 includes a score-lined display 2301. In this embodiment, the operating mode can be determined by determining the type of batting (racket-type), and can be obtained on each shot and so on information such as point of impact, therefore, as shown in Figure 11, shown in the example, for each type of batting can be calculated and displayed as the score for the score-lined display 2301. As in the fig. 16 example, by operating the sliding strip 2303, can be from the start, and so on, from the past day, week, month or year score ranking of the selected display 2301 target cycle.

In the example shown in the Figure, also display the score-type selection 2305. Score-type selection 2305 is used for the three score-type (i.e., the best point for point, speed and swinging the mixed) selected as a score in the list display 2301 display the score of the type of display. Furthermore, the best score shall point is indicated each time a plurality of the point of impact of the so-called the best to be close to the score of the point. Higher score when the bat is instructed to the user more accurately click play in the best score.

Figure 18 is a schematic diagram of showing the embodiment of according to the 4th example of the screen. With reference to Figure 18, the screen 2400 includes bat speed curve chart display 2401. In this embodiment, the operating mode can be determined by determining the type of batting (racket-type), and can be obtained for each shot information such as the speed of the bat and, therefore, as shown in Figure 11, shown in the example, can be collected for each speed and swinging the batting type together with the average value or the maximum value of the curve chart display together. As the above-mentioned Figure 16 and Figure 17 the example, by operating the sliding strip 2403, can be from the start, and so on, from the past day, week, month or year swinging the selected speed profile display 2401 target cycle.

(6. Hardware structure)

Furthermore, with reference to Figure 19 and Figure 20 according to the technology used for realizing the described embodiment of the sensor device and analyzing device of the example of the hardware structure.

(Sensor device)

Figure 19 is a schematic diagram of the embodiment according to the technology shown in the sensor of the example of the hardware structure of the device. For example, the sensor device 800 for according to the above-mentioned embodiment of the sensor device 100.

Sensor device 800 comprises a central processor (CPU) 801, read-only memory (ROM) 802, random access memory (RAM) 803, sensor 804, user interface 805, the external storage device 806, the communication device 807 and output device 808. These constituent elements, such as via bus 809 are connected with each other.

CPU801, ROM802 and RAM803 for example by reading and executing recording in the external memory device 806 program command on, in accordance with software way to realize various functions. In this technical embodiment, CPU801 may, for example, through, ROM802 and RAM803 in the preceding example to realize the entire sensor device 800 in the controlled or pre-processing unit 107 functions.

Sensor 804 in accordance with the function of the embodiment of the sensor structure 101 should be opposite. Sensor 804 can include, for example, acceleration sensor, an angular velocity sensor, a vibration sensor, a temperature sensor or GPS receiver.

User interface 805 receives the user to the sensor device 800 operation, and can be, for example, such as a button or touch panel of the input device. User operation is, for example, a command from a sensor device transmitting the sensor information of the operation of the start or end.

The external storage device 806 stored on the sensor device 800 of the various information. For example, the external storage device 806 can be stored the CPU801, ROM802 and RAM803 in accordance with the mode of software program command for realizing function, can also be temporarily cache sensor 804 the acquired data. When considering the sensor device 800 is mounted on the user's own or sports equipment, such as semiconductor memory, for example, to (very anti-impact) of such storage device is used as an external storage device 806.

Communication device 807 corresponding to the preceding embodiment in the function of the communication unit of the structure 109. Communication device 807 in accordance with the kind of wired communication or wireless communication scheme with the following analysis device 900 communication. Communication device 807 can be direct communication between the apparatus and the analyzing apparatus 900 communication, also can be via a network such as the Internet and analyzing device 900 communication.

Output device 808 is configured to be capable of visual or auditory manner to obtain the information of the user of the device. Output device 808 may be, for example, such as the liquid crystal display (LCD) or a display device such as a speaker or a headphone audio output device. Although in the previous embodiment there is no description, however, when the indicator such as operation mode, information on the results of such an analysis from analysis device feedback to the sensor device, for example, in other embodiments, can be from the output device 808 output information. Sensor device 800 may further include a light-emitting unit of the light such as LED to the user or equipment or providing vibration of the vibrator, as the output unit.

(Analysis device)

Figure 20 is a schematic diagram of the embodiment according to the present technology shows the analysis of the example of the hardware structure of the device. For example, the analysis device 900 for according to the above-mentioned embodiment of the sensor device 200.

Analysis device 900 can include the CPU901, ROM902, RAM903, user interface 905, the external storage device 906, communication device the output device 907 and 908. These constituent elements, such as via bus 909 is connected with each other.

CPU901, ROM902 and RAM903 for example by reading and executing recording in the external storage device 906 program command on, in accordance with software way to realize various functions. In this technical embodiment, may, for example, through the CPU901, ROM902 and RAM903 in the preceding example to realize states entire analysis device 900 in the controlled or pre-processing unit 203 and analyzing unit 205 function.

User interface 905 receives the user to the analysis device 900 operating, and may be, for example, such as a button or touch panel of the input device.

The external storage device 906 storage off analysis device 900 of the various information. For example, the external storage device 906 may be stored the CPU901, ROM902 and RAM903 in accordance with the mode of software program command for realizing function, can also be temporarily cache communication device 907 the received sensor information. The external storage device 906 can be used as an example in the front of the storage unit 209, and storing the sensor information or the operation mode such as confirm the result of such a log.

Output device 908 is configured to be capable of visual or auditory manner to the information to notify the user of the device. Output device 908 may be, for example, or a display device such as LCD, such as a speaker or a headphone audio output device. When the analysis device 900 is for the user to use the terminal device, output device 908 the display device through the analysis device 900 of processing the obtained result to display as text or an Image, or a speaker, etc. the results are output as an audio.

Analysis device 900 can be implemented for the wearable computer device, type of device, such as a watch, intelligent watch, head display device, glasses type device, used for finger ring device or intelligent glasses. Furthermore, although most of the description to the tennis example, but can also be the use of other target segment of the operating mode, for example, baseball pitch (when the baseball hit baseball stick when the event, and the user based on the throw-off type in the certain residents the movements of the mobile in). Similarly, the shock sensor and a motion sensor attached to the golf club handle of, and when the club against the impact event.

Sensor through the wireless mode and the wearable computer device communication, and thus can be used in the computer device can be worn to be displayed on the display of the type of batting, impact statistical, punching ball bat (Figure 11 the in 2107), and so on. Through this way, the user can observe his intelligent watch where on the surface of the rod against the golf ball, the golf is still on the plane is within or external/sector/lay, and so on. Furthermore, intelligent watch can impact with a golf ball through the incident counter to track the number of shots. Each the racket rod can be equipped with sensors, or the user's gloves (or intelligent watch) can be equipped with sensor, and the skeleton structure of the user, the conduction of the shock event is detected via the impact event.

(7. Supplementary)

In the previous embodiment, described which comprises a sensor device and analyzing device (both can be information processing apparatus) of the information processing system. In the embodiment, information processing system also includes, for example, network analysis device is realized on the server of the at least a portion of the function (including as a plurality of the device the function of realizing the set of the device), the function of the computer program and device for realizing the program is recorded are non-temporary condition visible medium and the storage medium.

In the previous embodiment, is described using the example of a sensor device. However, in the technical embodiment, a plurality of sensor devices can be used. In tennis under the condition of, for example, a sensor device is installed in the user of the racket, the other sensor device is installed on the user of the shoe. By combining the analysis of the data provided by the sensor device, can determine such as sprint, jump, swinging during forward movement or rearward movement during such swinging operation mode of the higher level. Even in this case, also each sensor device can be the impact of the time series data of the sensor used for the designated from each sensor of the sensor device provides the action of the action of the time-sequence data in the fragment. The action sensor when the sensor device, the time-series data synchronous time, can utilize the impact of the one of the device designated time sequence data of the sensor all sensor device the action of the time series data of the sensor the movements in fragment. Or, when the each of the sensor device includes an impact sensor, the impact sensor can be used to time-series data of each of the sensor device the action of the synchronous time sequence data of the sensor.

In the previous embodiment, a described that confirms the example of the operation mode of the user. However, in the technical embodiment, the operating mode of the target can be determined as the number of users can be a plurality of. For example, analysis device can be of the from a plurality of users each sensor device receives sensor information, and may determine the operating mode of each user. Including through the used for a plurality of users of an independent analysis for determining the operation mode of the information may be shared via a network, and, can be provided, for example, by comparing the example of the screen in front of the information shown in the information acquired by the user.

In the previous embodiment, described sensor device and analyzing device is an example of an independent device. In this technical embodiment, the sensor device and analyzing device is integrated. In this case, the sensor device can obtain the time sequence data from the sensor, is arranged in the time sequence data fragment action, through analysis action segment determining of action mode, and outputs the determination result of the determining by itself or transmitted to a server on the network or terminal device.

Detailed description of the Figure has been with reference to a preferred embodiment of this technology, but this technology range is not limited to these example.

Furthermore, the technology can also be disposed as follows.

(1) an information processing system, comprising: processing circuit, is configured to the impact of the impact sensor based on output data of the impact sensor receiving the input data, and detecting the target identification from sensor output action, the time-series data of the target segment, wherein the target fragment includes a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

(2) according to (1) the information processing system, wherein: the impact sensor based on the data from the identification of the target fragment.

(3) according to (1) or (2) the information processing system, wherein: the impact events include impact event, the bump events include the user to the target due to the movement of the impact.

(4) according to (1) to (3) according to any one of the information processing system, wherein: the object is the object of the user, and the events include states the hit through the object and another target collision.

(5) according to (1) to (4) according to any one of the information processing system, wherein: the another object is a tennis, baseball and one of the golf ball.

(6) according to (1) to (5) according to any one of the information processing system, wherein: the said object is a part of the body of the user.

(7) according to (1) to (6) according to any one of the information processing system, wherein: the impact sensor and the motion sensor is an acceleration sensor.

(8) according to (1) to (7) according to any one of the information processing system, wherein: the system includes the impact sensor, the impact sensor in the acceleration is greater than the action of the dynamic range of the sensor.

(9) according to (1) to (8) according to any one of the information processing system, wherein: the system includes the motion sensor, said motion sensor has a greater speed than the acceleration of the impact sensor greater resolution.

(10) according to (1) to (9) according to any one of the information processing system, wherein: the stated movement sensor is configured to detect the three-axis acceleration and angular velocity.

(11) according to (1) to (10) according to any one of the information processing system, wherein: the processing circuit is configured to analyzes and identifies the target fragment with the target fragment corresponding to a predetermined operation mode of the object.

(12) according to (1) to (11) according to any one of the information processing system, wherein: the processing circuit includes an output device, the output device generates an audio frequency signal and at least one of the video signal, to notify the user of the predetermined operation mode.

(13) according to (1) to (12) according to any one of the information processing system, further comprises: display, configured to display the predetermined operating mode of a marking.

(14) according to (1) to (13) according to any one of the information processing system, further comprises: display, configured to display another target in the impact position on the target marking.

(15) according to (1) to (14) according to any one of the information processing system, further comprises: display, configured to display and the object associated with the actual operation mode of the at least one index value.

(16) according to (1) to (15) according to any one of the information processing system, further comprises: display, is disposed on the object for a plurality of detecting a moving mode to the user to display statistical feedback.

(17) according to (1) to (16) according to any one of the information processing system, wherein: the motion sensor through the wireless transmission to the processing circuit the time-sequence data.

(18) according to (1) to (17) according to any one of the information processing system, wherein: the processing circuit is configured to from the impact sensor by determining the input data exceeds a predetermined threshold value when, through and from the impact sensor of the input data frequency of the signal, to identify the target fragment.

(19) according to (1) to (18) according to any one of the information processing system, wherein: the specific onlooking type device for the realization of the information processing system, and the software can be downloaded application program configuration the processing circuit, in order to discern the target fragment.

(20) an information processing method, comprising the steps of: receiving input data of the sensor from impact, said impact sensor, on the basis of the impact of the impact on the sensor to output the data; receiving from the motion sensor, the time-series data, the motion sensor detects movement of the object; and the identification of the time through the processing circuit sequence data of the target segment, wherein the target fragment includes a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

(21) a non-temporary computer-readable storage device, including execution by the processor to configure the processor in order to realize the information processing method of instruction, the method includes the steps of: receiving input data of the sensor from impact, said impact sensor, on the basis of the impact of the impact on the sensor to output the data; receiving from the motion sensor, the time-series data, the motion sensor detects movement of the object; and the identification of the time through the processing circuit sequence data of the target segment, wherein the target fragment includes a shock event in the front section before the impact of the shock event and after the impact of the part a, on the basis of the shock event from the impact sensor data to cognitive.

(22) an information processing apparatus, including: sensor data obtaining unit, obtaining time series data 1st and 2nd time sequence data, 1st 1st time sequence data includes the detected value of the sensor, sensor detects a 1st transmitted to the direct or indirect mounting to the sensor device of the user of the movement of the impact, 2nd 2nd time sequence data includes the detected value of the sensor, in order to compared with the 1st 2nd sensor with higher resolution of the sensor the resolution of the physical behavior detection sensor device; and a setting unit fragment, target segment set up analysis, wherein analysis, based on 2nd 1st time sequence data in the time series data to determine the operating mode of the user.

(23) according to (22) of the information processing device, wherein the sensor unit utilizes the 1st segment is the detection value of the point exceeds a predetermined threshold value as a reference, set up analysis target fragment.

(24) according to (23) of the information processing device, wherein the setting unit passage 1st the frequency components of the detected value of the sensor comprises a sensor arrangement is an object of the of the eigenfrequency of the fragment as a reference, set up analysis target fragment.

(25) according to (22) to (24) according to any one of the information processing device, further comprising: analyzing unit, used for target segment based on the analysis of 2nd time sequence in the data to determine the operating mode of the user.

(26) according to (22) to (25) according to any one of the information processing device, further comprises: output unit, is used for output indication of the information of the operating mode of the user.

(27) according to (22) to (26) according to any one of the information processing device, wherein the output unit display is instructed to the user, an Image or text of the operating mode.

(28) according to (22) to (27) according to any one of the information processing device, wherein on the basis of the 1st the analyzing unit of time-series data to determine the operating mode of the user.

(29) according to (22) to (28) according to any one of the information processing apparatus, wherein 2nd sensor comprises an acceleration sensor, gyro sensor or a geomagnetic sensor.

(30) according to (22) to (29) according to any one of the information processing apparatus, wherein 1st sensor comprises a single axis acceleration sensor, and 2nd sensor comprises a three-axis acceleration sensor.

(31) a sensor device, for installation, directly or indirectly, the user of the movement of, said sensor device includes: 1st sensor, detecting the impact of the transmitted to the sensor device; 2nd sensor, in order to compared with the 1st sensor with higher resolution of the resolution of the physical behavior detection sensor device; and a data processing unit of the sensor, output in order to provide analysis of the analysis target data, the analysis in the time series data based on the 1st and 2nd time series data to determine the operating mode of the user, the data including the 1st 1st time sequence of the detected value of the sensor, 2nd 2nd time sequence data includes the detected value of the sensor.

(32) according to (31) of the sensor device, wherein the sensor data processing unit based on 1st 2nd time-sequence data in the time series data of the analysis target fragment analysis, , and output the analysis of the target segment in the 2nd time sequence data as analysis target data.

(33) according to (31) or (32) of the sensor device, further including: a communication unit, is used for the analysis target data is transmitted to the analysis device.

(34) an information processing system, including: sensor device, for installation, directly or indirectly, the user of the movement of; and analyzing device, used for transmission from the sensor device by analyzing the analysis target data, determine the operating mode of the user, wherein the sensor device comprises sensor 1st, 2nd sensor, sensor data pre-treatment unit and the communication unit, 1st sensor detects the impact of the transmitted to the sensor device, in order to compared with the 1st 2nd sensor with higher resolution of the sensor the resolution of the physical behavior detection sensor device, sensor data preprocessing unit time series data based on the 1st and 2nd time sequence data producing an analysis target data, 1st 1st time sequence data includes the detected value of the sensor, 2nd 2nd time sequence data includes the detected value of the sensor, the communication unit of the analysis target data is transmitted to the analysis device, wherein the analysis device comprises a receiving and analyzing the communication unit of the target data and the target data is determined based on the analysis of the user of the analyzing unit of the operating mode, wherein the sensor device and analyzing device including one of the target included in the audio data based on the analysis of time series data of the 2nd 1st is the analysis of time series data of the target segment in the passage unit, and wherein target segment based on the analysis of the analyzing unit of 2nd time sequence in the data to determine the operating mode of the user.

(35) a non-transition condition computer readable storage medium, wherein the storing the program, the program makes the computer execute: obtaining 1st time sequence data and the function of the time sequence data 2nd, 1st 1st time sequence data includes the detected value of the sensor, 2nd 2nd time sequence data includes the detected value of the sensor, sensor detects a 1st transmitted to the direct or indirect mounting to the user of the movement of the impact of the sensor device, in order to compared with the 1st 2nd sensor with higher resolution of the sensor sensor for detecting the resolution of the physical behavior of the device; and analyzing the time series data based on the 1st 2nd time sequence data determined in analysis of the operating mode of the user the function of the target segment.

(36) a non-temporary computer readable storage medium, wherein the storing the program, the program which is installed, directly or indirectly, the user of the movement of the sensor of the computer implementation included in the: output in order to analyse the function of the analysis target data, the analysis in the time series data based on the 1st and 2nd time series data to determine the operating mode of the user, the data including the 1st 1st time sequence of the detected value of the sensor, 2nd 2nd time sequence data includes the detected value of the sensor, 1st sensor detects the impact of the transmitted to the sensor device, in order to compared with the 1st 2nd sensor with higher resolution of the sensor sensor for detecting the resolution of the physical behavior of the device.