Systems and methods for personalized exercise protocols and tracking thereof

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 a personalized exercise protocol associated with a user;

store the personalized exercise protocol in a data store;

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, 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, wherein the personalized movement instruction is based on the personalized exercise protocol;

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 personalized exercise protocol comprises an exercise protocol selected from a protocol library by a practitioner.

3. The fitness tracking computing system of claim 1 , wherein the personalized exercise protocol comprises a plurality of exercises inputted 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.

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 for the user.

10. The fitness tracking computing system of claim 1 , wherein the visual feedback comprises real-time images of the user collected by the camera.

11. 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.

12. The fitness tracking computing system of claim 11 , 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.

13. The fitness tracking computing system of claim 12 , 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.

14. The fitness tracking computing system of claim 1 , wherein the setting is a video scale factor.

15. The fitness tracking computing system of claim 1 , wherein the setting is a buffer length.

16. 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 a personalized exercise protocol associated with a user;

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, wherein the setting is any of a video scale factor and buffer length;

cause a personalized movement instruction to be displayed on the display of the computing device, wherein the personalized movement instruction is based on the personalized exercise protocol;

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.

17. The fitness tracking computing system of claim 16 , wherein the camera is a built-in component of the computing device.

18. The fitness tracking computing system of claim 16 , wherein the visual feedback provides real-time range of motion feedback.

19. The fitness tracking computing system of claim 16 , wherein determining compliance with the personalized movement instruction is based on a tolerance window for the user.

20. The fitness tracking computing system of claim 16 , 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.

21. 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 a personalized exercise protocol associated with a user;

store the personalized exercise protocol in a data store;

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 metadata and images of the user collected the camera;

based on the metadata, 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, wherein the personalized movement instruction is based on the personalized exercise protocol;

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.

22. The fitness tracking computing system of claim 21 , wherein the visual feedback provides a repetition counter.

23. The fitness tracking computing system of claim 22 , 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.