Visualization of Athletic Activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself ...

Apparel and location information system

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters.

Apparel and Location Information System

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters.

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself ...

VALIDATING USER IDENTITY USING ATHLETIC ACTIVITY

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations. A computing device may use data indicating activity performed by a user for a plurality of time periods to validate an identity of the user. 1. A method comprising:determining, by a first computing device and based on a first set of data indicating activity performed by a user for a plurality of time periods, a first activity design; andafter sending, to a second computing device, data indicating the first activity design, validating an identity of the user.2. The method of claim 1 , wherein the first activity design comprises a plurality of visual elements.3. The method of claim 2 , wherein each of the plurality of visual elements is associated with the activity performed by the user during a time period of the plurality of time periods.4. The method of claim 2 , wherein the data indicating the first activity design comprises a plurality of color values claim 2 , and wherein each of the plurality of visual elements is associated with a color value.5. The method of claim 4 , further comprising:determining, based on the first set of data, a performance metric for a first time period; anddetermining, based on the performance metric, a first color value for a first visual element.6. The method of claim 2 , further comprising:retrieving additional data indicating activity performed by the user; anddetermining, based on the additional data, an updated first activity design.7. An apparatus comprising:one or more processors; and determine, based on a first set of data indicating activity performed by a user for a plurality of time periods, a first activity design; and', 'after sending, to a second computing device, data indicating the first activity design, validate an identity of the user., 'memory storing ...

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself ...

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, from one or more sensors and by a sensor system, raw sensor data;identifying, by the sensor system and from the raw sensor data, a plurality of events detected from one or more sensor signal streams during performance of the athletic activity by a user;responsive to identifying the plurality of events, transmitting from the sensor system to an activity processing system, the sensor data;analyzing, by the activity processing system, the received sensor data to evaluate the plurality of events against one or more constraints of a first action template to determine whether the user performed a first type of action corresponding to the first action template;determining, by the activity processing system, whether the plurality of events matches the first action template based on the evaluation of the plurality of events against the one or more constraints of the first action template; andin response to determining that the plurality of events matches the one or more constraints of the first action template, registering, by the activity processing system, user performance of the first type of action corresponding to the first action template.2. The computer-implemented method of claim 1 , further comprising:determining whether one or more events of the plurality of events matches an exclusion state constraint defined in the first action template; andin response to determining that the one or more events matches the exclusion state constraint, determining that the one or more events is not a match with the first action ...

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, by a sensor system having at least a processor and a memory, raw sensor data associated with athletic activity of a user, the raw sensor data being received from one or more sensing devices;determining, by the sensor system and based on a signature of a signal received from the one or more sensing devices, a category of athletic activity being performed;selecting, by an activity processing system, an athletic activity template for comparison, the athletic activity template being selected based on the category of athletic activity being performed;comparing, by the activity processing system, one or more events in the raw sensor data to the selected of athletic activity template;determining, by the activity processing system, whether the one or more events match the selected activity template, wherein the determining includes evaluating whether a first candidate athletic activity meets one or more relative constraints of a first state, wherein the one or more relative constraints defines a required relationship between the first candidate athletic activity and a second candidate athletic activity; andresponsive to determining that the one or more events match one or more activity templates, classifying the one or more events of the user as performance of a first action of a first type.3. The computer-implemented method of claim 2 , wherein the coaching information includes at least a coaching instruction related to heel weight.4. The computer-implemented method of claim 2 , wherein providing coaching information to ...

Visualization of Athletic Activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

APPAREL AND LOCATION INFORMATION SYSTEM

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters. 1. A housing comprising:a housing configured to be attached to an article of athletic apparel, the housing comprising retaining structure configured for removable engagement with an electronic module and an interface having a plurality of electrical contacts configured for electrical connection with the electronic module when the electronic module is removably engaged with the housing;an identification memory attached to the housing and connected to one of the electrical contacts of the housing, the identification memory configured to provide identifying information to the electronic module when the electronic module is removably engaged with the housing and connected with the interface.2. The housing of claim 1 , wherein the identification memory includes a single contact serial interface.3. The housing of claim 1 , wherein the identifying information identifies a location of the housing on a user's body.4. The housing of claim 1 , wherein the identifying information identifies a location in proximity to a user.5. The housing of claim 1 , wherein the identifying information identifies athletic equipment to which the housing is configured to be attached.6. An activity monitoring system comprisingan electronic module;a housing configured to be attached to an article of athletic apparel, the housing comprising retaining structure removably engaging the electronic module and an interface having a ...

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc. 1. A system for monitoring an athletic performance , comprising: launch input data relating to a plurality of foot launch events during a first time period; and', 'strike input data relating to a plurality of foot strike events during the first time period;, 'an input system that receives determine a first flight time associated with a first set of timestamps of a plurality of timestamps associated with each foot launch event and foot strike event; and', 'determine, based on the first flight time, a level of exertion of a user during the first time period, 'a processor system programmed and adapted toan output system for outputting an indication of the determined level of exertion.2. The system of claim 1 , wherein the processor system is further programmed and adapted to:determine, based on the first flight time, a first jump height of a user during the first time period; anddetermine, based at least on the first jump height, a rate of fatigue for the user3. The system ...

Athletic Performance Monitoring Systems and Methods in a Team Sports Environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold. 1. A method comprising:receiving first data from a first transducer;comparing, at a processor, the first data to a template, wherein at least a first parameter of the template identifies a particular resonance frequency; anddetermining whether a first user is in possession of an object based on the comparison of the first data to the template to the one or more parameters of the template.2. The method of claim 1 , further comprising:determining an amount of time the first user is in possession of the object.3. The method of claim 1 , wherein the first transducer is configured to be worn by the first user.4. The method of claim 1 , wherein one or more parameters of the template are configured to identify a type of activity performed by the first user.5. The method of claim 1 , further comprising:receiving second data from a second transducer associated with a second user;compare the first data and the second data to a template; anddetermine which of the first user and the second user is in possession of the object based on the comparison of the first data and the second data to the template.6. The method of claim 5 , further comprising:identify a time interval during which the second data corresponds to the template; anddetermine an amount of time the second user is in possession of the object.7. The method of claim 1 , wherein a parameter in the one or more parameters of the template identifies a minimum peak voltage level corresponding to an impact force on the object.8. The method of claim 1 , wherein a parameter in the one or ...

Visualization of Athletic Activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations. 1. A method comprising:obtaining, by a first computing device, a first set of data indicating athletic activity performed by a first user for a plurality of time periods;determining, by the first computing device, one or more performance metrics for one or more of the plurality of time periods;determining, based on the one or more performance metrics, a color value for each of the one or more of the plurality or time periods;generating, based on the determined color values, a first activity design; andauthenticating, based on the first activity design, an identity of the first user.2. The method of claim 1 , further comprising:determining, based on the first set of data, one or more activity thresholds indicating a level of athletic activity performed by the first user.3. The method of claim 2 , wherein the determining the color value for each of the one or more of the plurality or time periods further comprises:selecting, based on the one or more activity thresholds, the color value for a first time period of the plurality or time periods.4. The method of claim 1 , wherein the determining the color value for each of the one or more of the plurality or time periods further comprises:applying a scalar value to the one or more performance metrics.5. The method of claim 1 , wherein the determining the one or more performance metrics further comprises:automatically selecting, by the first computing device and based on the one or more of the plurality of time periods, a first performance metric.6. The method of claim 5 , further comprising:determining, by the first computing device and based on the first performance metric, a segment of the first set of data indicating a first time period where the athletic ...

Apparel and location information system

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters.

Visualization of athletic activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc. 1. (canceled)2. An apparatus for analyzing an athletic performance , comprising:one or more processors; receiving, from a foot sensor system, launch input data relating to a plurality of foot launch events during a first time period;', 'receiving, from the foot sensor system, strike input data relating to a plurality of foot strike events during the first time period;', 'determining, by the one or more processors, a first flight time associated with a first set of timestamps of a plurality of timestamps associated with each foot launch event and foot strike event; and', 'determining, based on the first flight time, a level of exertion of a user during the first time period., 'memory storing computer executable instructions that, when executed by the one or more processors, cause the apparatus to at least perform3. The apparatus of claim 2 , wherein the computer executable instructions claim 2 , when executed claim 2 , further cause the apparatus to perform:determining, ...

Athletic performance monitoring systems and methods in a team sports environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold.

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc. 1. (canceled)2. An apparatus for analyzing an athletic performance , comprising:at least one processor;at least one memory storing computer executable instructions that, when executed by the at least one processor, cause the apparatus to at least perform:receiving, from a foot sensor system, foot launch input data relating to a plurality of launch events, wherein the foot launch input data includes at least a timestamp associated with each foot launch event indicating a time that a foot launch occurred;receiving, from the foot sensor system, foot strike input data relating to a plurality of foot strike events, wherein the foot strike input data includes at least a timestamp associated with each foot strike event indicating a time that a foot strike event occurred;identifying a first set of timestamps of a plurality of timestamps associated with each foot launch event and foot strike event, wherein the first set of timestamps includes temporally adjacent right foot launch, ...

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

Visualization of athletic activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself, etc.

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

SENSING SYSTEM FOR PATIENT SUPPORTS

A sensing system for a patient support, such as a bed, cot, stretcher, or the like, provides data about the patient and/or the patient support itself. The sensing system may include a flexible sheet that houses a sensor array that detects interface pressures between the patient and the support surface on the patient support. A user interface allows a caregiver to control operational parameters of the sensor array, including alarms. A color coded map may be displayed on the user interface highlighting the patient's currently experienced interface pressures. A control system coupled to the sensor array may map the sensor outputs to the body of the patient in order to correlate the interface pressures to specific parts of the patient's body. Shear pressure may, in some embodiments, also be detected by the sensor sheet. 1. A sensing system for a patient support comprising:a sensor array integrated into a flexible mat, said mat adapted to be placed over a patient support surface positioned on the patient support, said sensor array including a plurality of sensors that are each adapted to detect force exerted by a patient onto a respective sensor in the sensor array;a controller in communication with said sensor array and adapted to process outputs from said sensor array to determine a pressure distribution profile of a patient positioned on the patient support; anda display screen supported on the patient support, said display screen adapted to display the pressure distribution profile.2. The system of wherein said controller is further adapted to map the plurality of sensors in said sensor array to at least one body part of a patient on the patient support.3. The system of further including a user interface supported on the patient support and associated with the display screen claim 1 , said user interface in communication with said controller claim 1 , said user interface adapted to allow a caregiver to select which of said plurality of sensors in the sensor array are ...

Athletic Performance Monitoring Systems and Methods in a Team Sports Environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold. 1. An apparatus comprising:at least one processor; and process image data that includes an image of an object;', 'determine a first size of the object;', 'compare the first size to a threshold;', 'determine that a first user is in possession of the object if the first size meets or exceeds the threshold, and', 'determine that the first user is not in possession of the object if the first size is less than the threshold., 'at least one memory storing executable instructions that, when executed by the at least one processor, cause the apparatus at least to2. The apparatus of claim 1 , wherein the executable instructions claim 1 , when executed by the at least one processor claim 1 , further cause the apparatus to communicate a proximity signal for determining whether the object is within range for controlling whether power is supplied to a camera providing the image data.3. The apparatus of claim 2 , wherein the executable instructions claim 2 , when executed by the at least one processor claim 2 , further cause the apparatus to detect a return signal within a first predetermined amount of time of communicating the proximity signal and to provide power to the camera in response to the detecting.4. The apparatus of claim 2 , wherein the executable instructions claim 2 , when executed by the at least one processor claim 2 , further cause the apparatus to determine that a return signal has not been received within a predetermined amount of time of communicating the proximity signal.5. The apparatus of claim 4 , wherein the executable ...

Calculating Pace and Energy Expenditure from Athletic Movement Attributes

Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated. 1. A computer-readable medium comprising computer-executable instructions that when executed by a processor , perform at least:receiving a data stream comprising one or more data points along at least three axes of an accelerometer as a result of motion of the user;without classifying the motion data into an activity type, identifying from the motion data a first accelerometer axis having the greatest amount of acceleration for a first time period and a second axis having the second greatest amount of acceleration for the first time period;based upon the identification of the first accelerometer axis, determining to calculate a first attribute for the motion data along the first axis;based upon the identification of the second accelerometer axis, determining to calculate a second attribute for the motion data along the second axis, wherein the second attribute is different than the first attribute;calculating a cumulative attribute from cumulative motion data collected from at least the first and the second accelerometer axes;comparing the first, second and ...

Calculating Pace and Energy Expenditure from Athletic Movement Attributes

Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Further, the systems and methods are configured to identify and quantify, using the one or more mathematical models, the motion data as linear travel motion associated with the user running or walking. 1. A unitary apparatus configured to be worn on an appendage of a user , comprising:a processor;a sensor configured to capture motion data of the user; capturing, from the sensor while being worn on an appendage of the user, a data stream comprising one or more data points generated by the sensor as a result of a motion of the user;', 'validating the one or more data points by comparison to one or more threshold values;', 'transforming the one or more data points into a dataset representing a motion of the user;', 'calculating one or more motion attributes from the dataset; and', 'utilizing the one or more motion attributes as input values to an activity classification model, wherein the activity classification model classifies the motion of the user as a linear travel motion or another form of motion., 'a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor perform at least2. The unitary apparatus of claim 1 , wherein the one or more motion attributes used to classify the motion as the linear travel motion are utilized as input values to a linear motion model.3. The unitary apparatus of claim 2 , wherein the linear motion model classifies the motion of the user as running or walking.4. The unitary apparatus of claim 2 , wherein the linear motion model calculates a pace of the user.5. The unitary apparatus of claim 1 , wherein the sensor comprises an accelerometer.6. The unitary apparatus of claim 5 , wherein the one or more threshold values ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, by a computing device, information identifying a plurality of events detected from one or more sensor signal streams during performance of a physical activity by a user;evaluating, by the computing device, the plurality of events against one or more constraints of the first action template;determining whether the plurality of events matches the first action template based on the evaluation of the plurality of events against the one or more constraints of the first action template; andin response to determining that the plurality of events matches the one or more constraints of the first action template, registering user performance of a first type of action corresponding to the first action template.2. The computer-implemented method of claim 1 , further comprising:determining whether one or more events of the plurality of events matches an exclusion state constraint defined in the first action template; andin response to determining that the one or more events matches the exclusion state constraint, determining that the one or more events is not a match with the first action template or that the plurality of events are not a match with the first action template.3. The computer-implemented method of claim 1 , wherein comparing the plurality of events to a first action template includes:selecting a first state from the first action template to evaluate; anddetermining whether a first candidate event of the plurality of events meets one or more non-relative constraints of the first state.4. The computer-implemented ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, by a sensor system having at least a processor and a memory, raw sensor data associated with athletic activity of a user, the raw sensor data being received from one or more sensing devices;determining, by the sensor system and based on a signature of a signal received from the one or more sensing devices, a category of athletic activity being performed;transmitting, from the sensor system to an activity processing system, the raw sensor data and the category of athletic activity being performed;analyzing, by the activity processing system, the transmitted raw sensor data to determine one or more events performed during the athletic activity of the user, the one or more events including at least a heel weight event;selecting, by the activity processing system, a plurality of athletic activity templates for comparison, the plurality of athletic activity templates being selected based on a sensor subscription determined based on the category of athletic activity being performed;comparing, by the activity processing system, the determined one or more events to the selected plurality of activity templates;determining, by the activity processing system, whether the determined or more events match one or more activity templates of the selected plurality of activity templates;responsive to determining that the determined one or more events match one or more activity templates, classifying the events of the user as performance of a first action of a first type;determining, by the activity processing system, a quality of ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, by a computing device, sensor data associated with athletic activity of a user;analyzing, by the computing device, the received sensor data to determine one or more events performed during the athletic activity of the user, the one or more events including at least a heel weight event;comparing, by the computing device, the determined one or more events to a plurality of activity templates;determining, by the computing device, whether the determined or more events match one or more activity templates of the plurality of activity templates;responsive to determining that the determined one or more events match one or more activity templates, classifying the events of the user as performance of a first action of a first type;determining, by the computing device, a quality of the first action;determining, by the computing device, whether the quality of the first action is below a predetermined threshold; andresponsive to determining that the quality of the first action is below the predetermined threshold, providing, by the computing device, coaching information to the user, wherein the coaching information includes at least a coaching instruction related to heel weight.2. The computer-implemented method of claim 1 , wherein determining the quality of the first action includes determining a strength of a match between the determined one or more events and the one or more activity templates.3. The computer-implemented method of claim 1 , wherein determining the quality of the first action includes:identifying, by the ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Apparel and Location Information System

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters. 1. An electronic module configured to be removeably engaged with a receptacle;an interface that receives identifying information from an identification memory attached to the receptacle;a non-transitory computer-readable medium that contains multiple algorithms for calculating athletic data; (i) retrieving identifying information from the identification memory; and', '(ii) selecting an algorithm from the multiple algorithms based on the identifying information., 'a processor programmed with computer-executable instructions that when executed cause the processor to perform the steps comprising2. The electronic module of claim 1 , wherein the identification memory comprises a memory that includes a single contact serial interface.3. The electronic module of claim 1 , wherein the identification memory comprises an RFID tag.4. The electronic module of claim 1 , wherein the multiple algorithms comprises algorithms for calculating activity points.5. The electronic module of claim 1 , wherein the identifying information identifies a location of the receptacle on a user's body.6. The electronic module of claim 1 , wherein the identifying information identifies a location in proximity to a user.7. The electronic module of claim 1 , wherein the identifying information identifies athletic equipment.8. The electronic module of claim 1 , wherein the processor is further programmed with computer-executable ...

Athletic Performance Monitoring Systems and Methods in a Team Sports Environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold. 1. An apparatus comprising:at least one processor; and receive first data from a first transducer;', 'compare the first data to one or more parameters of a template; and', 'determine whether a first user is in possession of an object based on the comparison., 'at least one memory storing executable instructions that, when executed by the at least one processor, cause the apparatus at least to2. The apparatus of claim 1 , wherein a parameter in the one or more parameters of the template identifies a particular resonance frequency.3. The apparatus of claim 1 , wherein a parameter in the one or more parameters of the template identifies a minimum peak voltage level corresponding to an impact force on the object.4. The apparatus of claim 1 , wherein a parameter in the one or more parameters of the template identifies a minimum peak voltage level corresponding to an audible echo associated with an impact force on the object.5. The apparatus of claim 1 , wherein a parameter in the one or more parameters of the template identifies a threshold amount of time between peak voltage levels.6. The apparatus of claim 1 , wherein the executable instructions claim 1 , when executed by the at least one processor claim 1 , further cause the apparatus to identify a first time interval during which the first data corresponds to one or more parameters of the template.7. The apparatus of claim 6 , wherein the executable instructions claim 6 , when executed by the at least one processor claim 6 , further cause the apparatus to determine that the first ...

Calculating Pace and Energy Expenditure from Athletic Movement Attributes

Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity. Attributes may be compared to mathematical models. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, or an activity classification model, from the one or more activity classification models. An energy expenditure, or a classification of received data as a linear travel motion, may then be calculated. 1. A unitary apparatus configured to be worn on a user , comprising:a processor;a sensor configured to capture motion data of the user; capturing, from the sensor while being worn by the user, a data stream comprising one or more data points generated as a result of a motion of the user;', 'transforming the one or more data points into a dataset representing a motion of the user;', 'without classifying the motion data into an activity type, calculating one or more motion attributes from the dataset;', 'comparing the one or more motion attributes to one or more activity models comprising motion data from a plurality of individuals that does not include the user and, wherein both (1) the motion data within the models, and (2) the motion attributes of the user are independent of any activity type;', 'selecting a model, from the one or more models, as a best-match to the one or more motion attributes; and', 'identifying, using the selected model, one or more characteristics associated with the motion of the user., 'a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor perform at least2. The unitary apparatus of ...

Visualization of Athletic Activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations. 1. A method comprising:receiving athletic activity data relating to a performance of an athletic activity by a first user during a first time duration, wherein the first time duration includes a plurality of time periods;for each time period in the plurality of time periods, calculating a performance metric;determining an activity point value for the performance metric;assigning a color value to the time period based at least in part on the activity point value;generating first activity design data based at least in part on assigned color values for each time period in the plurality of time periods; andgenerating a graphical representation of a first activity design in accordance with the generated first activity design data.2. The method of claim 1 , wherein the color value comprises an RGB color value.3. The method of claim 1 , further comprising:receiving user input selection identifying the performance metric.4. The method of claim 1 , further comprising:receiving user input selection identifying an activity design type.5. The method of claim 1 , further comprising:receiving user input selection identifying a duration of a of the time period.6. The method of claim 1 , further comprising:validating an identity of the first user based at least in part on the activity design data.7. The method of claim 6 , wherein the activity design data is transmitted from a wearable device associated with the first user.8. The method of claim 6 , wherein validating an identity of the first user further comprises:comparing activity design data for the first activity design to data stored on a remote computer device.9. A non-transitory computer readable medium storing executable instructions that claim 6 , when executed ...

Calculating Pace and Energy Expenditure from Athletic Movement Attributes

Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated. 1. A unitary apparatus configured to be worn on a user , comprising:a processor;a sensor configured to capture motion data of the user; capturing, from the sensor while being worn by the user, a data stream comprising one or more data points generated as a result of a motion of the user;', 'transforming the one or more motion data points into a dataset representing a motion of the user;', 'without classifying the motion data into an activity type, calculating one or more motion attributes from the dataset;', 'comparing the one or more motion attributes to one or more activity models comprising motion data from a plurality of individuals that does not include the user and, wherein both (1) the motion data within the models, and (2) the motion attributes of the user are independent of any activity type;', 'selecting an energy expenditure model, from the one or more energy expenditure models, as a best-match to the one or more motion attributes; and', 'calculating, using the selected energy expenditure model, an energy expenditure associated with the motion of the ...

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc. 1. A method for analyzing an athletic performance , comprising:receiving foot launch input data from a foot sensor system relating to a plurality of right foot launch events and a plurality of left foot launch events, wherein the foot launch input data includes at least a timestamp associated with each foot launch event indicating a time that a respective right foot launch event or a left foot launch event occurred;receiving foot strike input data from a foot sensor system relating to a plurality of right foot strike events and a plurality of left foot strike events, wherein the foot strike input data includes at least a timestamp associated with each foot strike event indicating a time that a respective right foot strike event or a left foot strike event occurred;sorting a plurality of timestamps associated with each foot launch event and foot strike event based on a predetermined criteria;identifying a first set of timestamps in the plurality of timestamps, wherein the ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Flight Time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc. 1. A system for monitoring an athletic performance , comprising:an input system for: receiving foot launch input data and foot strike input data from a foot sensor system;a processor system programmed and adapted to: (a) identify a first set of timestamps including temporally adjacent foot launch and foot strike events; (b) determine if at least timestamp information associated with the first set of timestamps corresponds to one of a predetermined set of activity templates; and (c) determine a first flight time associated with the first set of timestamps based on an activity template determined to be associated with at least the timestamp information; andan output system for outputting output data including information containing or derived from the first flight time.2. A system according to claim 1 , wherein the first flight time is based at least in part on a first time duration included by the first set of timestamps when both a left foot and a right foot are ...

Action Detection and Activity Classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like. 1. A computer-implemented method comprising:receiving, by a sensor system having at least a processor and a memory, raw sensor data associated with athletic activity of a user, the raw sensor data being received from one or more sensing devices;determining, by the sensor system and based on a signature of a signal received from the one or more sensing devices, a category of athletic activity being performed;transmitting, from the sensor system to an activity processing system, the raw sensor data and the category of athletic activity being performed;analyzing, by the activity processing system, the transmitted raw sensor data to determine one or more events performed during the athletic activity of the user, the one or more events including at least a heel weight event;selecting, by the activity processing system, a plurality of athletic activity templates for comparison, the plurality of athletic activity templates being selected based on the category of athletic activity being performed;comparing, by the activity processing system, the determined one or more events to the selected plurality of activity templates;determining, by the activity processing system, whether the determined one or more events match one or more activity templates of the selected plurality of activity templates; andresponsive to determining that the determined one or more events match one or more activity templates, classifying the events of the user as performance of a first action of a first type.2. The computing implemented method of claim 1 , further including:determining, by the activity ...

Apparel and location information system

Systems and methods are provided for calculating athletic activity parameters. Multiple housings are position at different locations on a user's body. The housings are configured to be removably engaged with an electronic module that includes a sensor and a processor configured to calculate athletic activity parameters. Each housing is connected to or includes an identification memory that stores information identifying a location of the housing. The electronic module uses the location information to select an algorithm to use when calculating the athletic activity parameters.

Athletic performance monitoring systems and methods in a team sports environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold.

Microclimate management system

A microclimate management sheet, for placing against a person's body, includes a flexible generally fluid impermeable first layer, a flexible generally fluid impermeable second layer with a gas permeable region for facing a patient's body. The first layer is joined with the second layer in a manner to form a chamber between the first layer and the second layer. An inlet operative to be in fluid communication with a supply of gas and in fluid communication with the chamber is provided for delivering a gas to the chamber, with the gas permeable region for directing the gas the patient's body.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Calculating pace and energy expenditure from athletic movement attributes

Systems and methods configured to process motion data associated with a user. The systems and methods are configured to receive motion data from a sensor, calculate motion attributes from the data, and classify the motion data using one or more mathematical models. Attributes may be calculated without classifying the motion data into an activity type (such as walking, running, swimming, or any specific or general activity). Attributes may be compared to activity models comprising motion data from several individuals, which may not include the user. Motion data within the models and attributes of the user may be independent of any activity type. Attributes may be compared to select an energy expenditure model from one or more energy expenditure models, which may be selected as a best-match to the one or more motion attributes. An energy expenditure associated with the motion of the user may then be calculated.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Microclimate management system

A microclimate management sheet, for placing against a person's body, includes a flexible generally fluid impermeable first layer, a flexible generally fluid impermeable second layer with a gas permeable region for facing a patient's body. The first layer is joined with the second layer in a manner to form a chamber between the first layer and the second layer. An inlet operative to be in fluid communication with a supply of gas and in fluid communication with the chamber is provided for delivering a gas to the chamber, with the gas permeable region for directing the gas the patient's body.

Sensing system for patient supports

A sensing system for a patient support, such as a bed, cot, stretcher, or the like, provides data about the patient and/or the patient support itself. The sensing system may include a flexible sheet that houses a sensor array that detect interface pressures between the patient and the support surface on the patient support. A user interface allows a caregiver to control operational parameters of the sensor array, including alarms. A color coded map may be displayed on the user interface highlighting the patient's currently experienced interface pressures. A control system coupled to the sensor array may map the sensor outputs to the body of the patient in order to correlate the interface pressures to specific parts of the patient's body. Shear pressure may, in some embodiments, also be detected by the sensor sheet.

Visualization of activity points

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Flight time

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Visualization of athletic activity

Example embodiments relate to systems, methods, apparatuses, and computer readable media relating to a user interface, that may for example, receive and/or process physical activity data and allow interaction with the received information in novel implementations.

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

Flight time

Systems and methods for monitoring athletic performances include determining “flight time,” e.g., the amount of time both feet are off the ground, and optionally “flight time” resulting from different types of activities, such as jogging, running, sprinting, jumping, etc. “Flight time” may help a player or coach better understand the effort the athlete is putting out, compare efforts of two or more players, gauge the athlete's performance change over time, and/or identify conditioning needs and/or areas for improvement. Such systems and methods also may generate and display various athletic performance metrics, such as: instantaneous flight time; average flight time; cumulative flight time during an athletic performance or other time period; instantaneous jump height; average jump height; cumulative jump height during an athletic performance or other time period; and comparisons of any flight time and/or jump height metric(s) of one player against another player and/or against himself/herself; etc.

Athletic performance monitoring systems and methods in a team sports environment

Systems, apparatuses, and methods for determining when an athlete is in possession of a ball by analyzing image data are provided. A camera is worn by an athlete and is turned on when the athlete is in proximity of a ball. The camera is used to generate an image of a ball. The size of the ball is determined and compared to a threshold. The athlete is considered to be in possession of the ball when the size of the image exceeds the threshold.

Action detection and activity classification

Activities, actions and events during user performance of physical activity may be detected using various algorithms and templates. Templates may include an arrangement of one or more states that may identify particular event types and timing between events. Templates may be specific to a particular type of activity (e.g., types of sports, drills, events, etc.), user, terrain, time of day and the like.