SYSTEMS AND METHODS FOR PERSONALIZED EXERCISE PROTOCOLS AND TRACKING THEREOF

1 . A method, comprising:

receiving video data from a computing device via a communications network, wherein the computing device comprises a display and a camera, wherein the video data comprises metadata and images of a user of the computing device collected by the camera, and wherein the metadata comprises performance data of the camera and a screen resolution of the display;

based on the metadata, adjusting a setting of a body tracking model;

causing a personalized movement instruction to be displayed on the display of the computing device;

subsequent to adjusting the setting of the body tracking model, analyzing the video data using the body tracking model to track real-time movements;

based on the analyzing of the video data, determining compliance with the personalized movement instruction of the user; and

causing visual feedback to be displayed on the display of the computing device.

2 . The method of claim 1 , further comprising:

receiving a personalized exercise protocol associated with the user; and

storing the personalized exercise protocol in a data store.

3 . The method of claim 1 , wherein the personalized exercise protocol comprises an exercise protocol selected from a protocol library by a practitioner.

4 . The method of claim 1 , further comprising:

generating reporting data for the user, wherein the reporting data comprises demographic data of the user and compliance data of the user.

5 . The method of claim 1 , wherein the camera is a built-in component of the computing device installed into the computing device at time of manufacture.

6 . The method of claim 1 , wherein the visual feedback comprises real-time range of motion feedback.

7 . The method of claim 6 , wherein the visual feedback comprises a repetition counter.

8 . The method of claim 7 , further comprising:

advancing the repetition counter only when the real-time movements of the user comply with the personalized movement instruction.

9 . The method of claim 8 , wherein compliance with the personalized movement instruction is based on a tolerance window.

10 . The method 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 method of claim 10 , further comprising:

based on the real-time movements of the user, moving the real-time biometric marker graphical indicator on the display relative to the movement tolerance graphic.

12 . The method of claim 11 , further comprising:

modifying 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 method of claim 1 , wherein the setting is one or more of a video scale factor and a buffer length.

14 . A method, comprising:

receiving video data via a web-based communication from a computing device 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 by the camera;

based on the metadata, determining performance data of the camera and a screen resolution of the display;

adjusting a setting of a body tracking model based on at least one of the performance data of the camera and the screen resolution of the display,

causing a movement instruction to be displayed on the display of the computing device;

analyzing the video data using the body tracking model to track real-time movements of the user;

causing visual feedback to be displayed on the display of the computing device;

causing a repetition counter to be displayed on the display; and

advancing the repetition counter only when the real-time movements of the user are determined to comply with the movement instruction.

15 . The method 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 method of claim 15 , wherein the visual feedback provides real-time range of motion feedback.

17 . The method of claim 16 , wherein determining compliance with the personalized movement instruction is based on a tolerance window.

18 . The method 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 method, comprising:

receiving video data from a computing device via a communications network, wherein the computing device is operated by a user, wherein the computing device comprises a display and a camera, and wherein the video data comprises images of the user collected by the camera;

determining an operational parameter of the computing device;

based on the operational parameter of the computing device, adjusting a setting of a body tracking model;

causing a movement instruction to be displayed on the display of the computing device;

subsequent to adjusting the setting of the body tracking model, analyzing the video data using the body tracking model to track real-time movements of the user to determine compliance with the movement instruction; and

causing visual feedback to be displayed on the display of the computing device.

20 . The method of claim 19 , wherein the visual feedback comprises a repetition counter, and further comprising:

advancing the repetition counter only when the real-time movements of the user comply with the personalized movement instruction.