Systems and methods for personalized exercise protocols and tracking thereof
Systems and methods for providing a customized exercise protocol to a computing device of a user. As the user performs the exercise protocol, one or more cameras of the computing device can track the user's movements. The user's movement are assessed to determine if proper form and technique is being used.
1. A fitness tracking computing system comprising instructions stored in a memory, which when executed by one or more processors of the fitness tracking computing system, cause the fitness tracking computing system to:
receive video data from a computing device via a communications network, wherein the computing device is operated by the user, wherein the computing device comprises a display and a camera, wherein the video data comprises metadata and images of the user collected the camera, and wherein the metadata comprises performance data of the camera and a screen resolution of the display;
based on the metadata, adjust a setting of a body tracking model;
cause a personalized movement instruction to be displayed on the display of the computing device;
subsequent to adjusting the setting of the body tracking model, analyze the video data using the body tracking model to track real-time movements of the user to determine compliance with the personalized movement instruction; and
cause visual feedback to be displayed on the display of the computing device.
2. The fitness tracking computing system of claim 1 , wherein the instructions stored in a memory further cause the fitness tracking computing system to:
receive a personalized exercise protocol associated with a user; and
store the personalized exercise protocol in a data store.
3. The fitness tracking computing system of claim 1 , wherein the personalized exercise protocol comprises an exercise protocol selected from a protocol library by a practitioner.
4. The fitness tracking computing system of claim 1 , wherein the instructions stored in a memory further cause the fitness tracking computing system to:
generate reporting data for the user, wherein the reporting data comprises demographic data of the user and compliance data of the user.
5. The fitness tracking computing system of claim 1 , wherein the camera is a built-in component of the computing device installed into the computing devices at time of manufacture.
6. The fitness tracking computing system of claim 1 , wherein the visual feedback provides real-time range of motion feedback.
7. The fitness tracking computing system of claim 6 , wherein the visual feedback provides a repetition counter.
8. The fitness tracking computing system of claim 7 , wherein the instructions stored in a memory further cause the fitness tracking computing system to:
advance the repetition counter only when real-time movements of the user comply with the personalized movement instruction.
9. The fitness tracking computing system of claim 8 , wherein determining compliance with the personalized movement instruction is based on a tolerance window.
10. The fitness tracking computing system of claim 1 , wherein the visual feedback comprises a movement tolerance graphic correlated to the personalized exercise protocol, a movement reference indicator, and a real-time biometric marker graphical indicator.
11. The fitness tracking computing system of claim 10 , wherein the instructions stored in a memory further cause the fitness tracking computing system to:
move the real-time biometric marker graphical indicator on the display relative to the movement tolerance graphic based on the real-time movements of the user.
12. The fitness tracking computing system of claim 11 , wherein the instructions stored in a memory further cause the fitness tracking computing system to:
modify the visual appearance of the real-time biometric marker graphical indicator when the real-time biometric marker graphical indicator crosses the movement reference indicator.
13. The fitness tracking computing system of claim 1 , wherein the setting is one or more of a video scale factor and a buffer length.
14. A fitness tracking computing system comprising instructions stored in a memory, which when executed by one or more processors of the fitness tracking computing system, cause the fitness tracking computing system to:
receive video data from a computing device via a web-based communications, wherein the computing device is executing a web browsing application, wherein the computing device comprises a display and a camera, and wherein the video data comprises metadata and images of a user of the computing device collected the camera;
based on the metadata, determine performance data of the camera and a screen resolution of the display;
based on at least one of the performance data of the camera and the screen resolution of the display, adjust a setting of a body tracking model;
cause a personalized movement instruction to be displayed on the display of the computing device;
subsequent to adjusting the setting of the body tracking model, analyze the video data using the body tracking model to track real-time movements of the user;
cause visual feedback to be displayed on the display of the computing device;
cause a repetition counter to be displayed on the display; and
advance the repetition counter only when real-time movements of the user are determined to comply with the personalized movement instruction.
15. The fitness tracking computing system of claim 14 , wherein the camera is any of a built-in component of the computing device and a web camera connected to the computing device via a USB connection.
16. The fitness tracking computing system of claim 15 , wherein the visual feedback provides real-time range of motion feedback.
17. The fitness tracking computing system of claim 16 , wherein determining compliance with the personalized movement instruction is based on a tolerance window.
18. The fitness tracking computing system of claim 14 , wherein the visual feedback comprises a movement tolerance graphic correlated to a movement reference indicator, and a real-time biometric marker graphical indicator.
19. A fitness tracking computing system comprising instructions stored in a memory, which when executed by one or more processors of the fitness tracking computing system, cause the fitness tracking computing system to:
receive video data from a computing device via a communications network, wherein the computing device is operated by the user, wherein the computing device comprises a display and a camera, and wherein the video data comprises images of the user collected the camera;
determine an operational parameter of the computing device;
based on the operational parameter of the computing device, adjust a setting of a body tracking model;
cause a personalized movement instruction to be displayed on the display of the computing device;
subsequent to adjusting the setting of the body tracking model, analyze the video data using the body tracking model to track real-time movements of the user to determine compliance with the personalized movement instruction; and
cause visual feedback to be displayed on the display of the computing device, wherein the visual feedback provides real-time range of motion feedback.
20. The fitness tracking computing system of claim 19 , wherein the visual feedback provides a repetition counter, and wherein the instructions stored in a memory further cause the fitness tracking computing system to:
advance the repetition counter only when real-time movements of the user comply with the personalized movement instruction.