Abstract: Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

Abstract: System and methods are provided for prompting a user to perform an exercise and to monitor the exercise. The form of the user may be monitored, such as with one or more video cameras and/or other sensors, to determine how well the user is performing the exercise. Energy expenditure is estimated based factors that include the type of the exercise, the form of the user and a contribution value that associates energy expenditure with form.

Abstract: Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

Abstract: Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

Abstract: Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

Abstract: Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

Abstract: Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

Abstract: Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an athletic movement and/or exercise and generating a fatigue value. Fatigue values may be determined for different groups. In one embodiment, a first value is determined for a muscle fatigue value and a second value is determined for a respiratory value. In another embodiment, a first value may pertain to a first muscle group and a second value may pertain to a second muscle group. A fatigue index may be created from values obtained during an athletic movement and/or a workout session. In further embodiments, a cumulative fatigue index may be determined. A cumulative fatigue index may consider values obtained during several workout sessions. Further, data obtained outside of workout sessions may be considered in determinations relating to fatigue values and/or indices.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an athletic movement and/or exercise and generating a fatigue value. Fatigue values may be determined for different groups. In one embodiment, a first value is determined for a muscle fatigue value and a second value is determined for a respiratory value. In another embodiment, a first value may pertain to a first muscle group and a second value may pertain to a second muscle group. A fatigue index may be created from values obtained during an athletic movement and/or a workout session. In further embodiments, a cumulative fatigue index may be determined. A cumulative fatigue index may consider values obtained during several workout sessions. Further, data obtained outside of workout sessions may be considered in determinations relating to fatigue values and/or indices.

Abstract: Systems and methods for prompting a user to perform an exercise and monitoring the exercise are provided. Multiple independent sensors or sensor systems may be used to calculate energy expenditure. Various criteria may be used to manually or automatically select the independent sensor or sensor system or combination that will be used with the energy expenditure calculations.

Abstract: System and methods are provided for prompting a user to perform an exercise and to monitor the exercise. The form of the user may be monitored, such as with one or more video cameras and/or other sensors, to determine how well the user is performing the exercise. Energy expenditure is estimated based factors that include the type of the exercise, the form of the user and a contribution value that associates energy expenditure with form.

Abstract: Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for prompting a user to perform an exercise, monitoring form of the user while performing the exercise, and calculating an energy expenditure estimate for the user performing the exercise based on a type of the exercise and on the form of the user.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an athletic movement and/or exercise and generating a fatigue value. Fatigue values may be determined for different groups. In one embodiment, a first value is determined for a muscle fatigue value and a second value is determined for a respiratory value. In another embodiment, a first value may pertain to a first muscle group and a second value may pertain to a second muscle group. A fatigue index may be created from values obtained during an athletic movement and/or a workout session. In further embodiments, a cumulative fatigue index may be determined. A cumulative fatigue index may consider values obtained during several workout sessions. Further, data obtained outside of workout sessions may be considered in determinations relating to fatigue values and/or indices.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an exercise and generating a avatar of the user and a virtual shadow, wherein the virtual shadow illustrates proper form of the exercise. The example embodiments may further be configured for determining an amount of overlap between the virtual avatar and the virtual shadow, and generating a feedback score based on the amount of overlap.

Abstract: Example embodiments may relate to a system, method, apparatus, and computer readable media configured for monitoring a user performing an exercise and generating a avatar of the user and a virtual shadow, wherein the virtual shadow illustrates proper form of the exercise. The example embodiments may further be configured for determining an amount of overlap between the virtual avatar and the virtual shadow, and generating a feedback score based on the amount of overlap.