Smart gym
An apparatus for a smart gym is described herein. The smart gym includes a platform and at least one camera. The platform comprises at least a weight sensor. The at least one camera is configured to capture movements on the platform. In some cases, an exercise is identified by comparing the joint movement to a known joint movement associated with the exercise.
1. An apparatus, comprising:
a platform, wherein the platform includes at least a weight sensor;
at least one camera, wherein the camera is configured to capture movements on the platform;
instructions;
a processor, wherein the processor is configured by the instructions to:
capture a person that has entered the platform area;
derive a skeleton frame for the person in the platform area;
track joint movements of the skeleton frame;
identify one or more exercises performed by the tracked movement and count the number of repetitions performed; and
calculate a caloric expenditure based on the number of repetitions performed, a weight of the person, and a weight used when performing the one or more exercises.
2. The apparatus of claim 1 , wherein the processor identifies the one or more exercises by comparing the joint movement to a known joint movement associated with the exercise.
3. The apparatus of claim 2 , wherein the known joint movement is an average of the user's previous movements.
4. The apparatus of claim 2 , wherein the processor is to review the known joint movement to derive training goals.
5. The apparatus of claim 1 , wherein the processor is to:
cause the tracked movement of the skeleton frame to be rendered on a display; and
use augmented reality to place a third party on the screen with the rendering of the person.
6. The apparatus of claim 1 , wherein the exercise is identified via machine leaning.
7. The apparatus of claim 1 , wherein the processor is to calculate the caloric expenditure based on a metabolic equivalent for a task (MET).
8. The apparatus of claim 1 , wherein virtual coaching is enabled via the smart gym with haptic, auditory, visual feedback.
9. The apparatus of claim 1 , wherein in person coaching is enabled via the smart gym with post exercise playback or analysis.
10. A method, comprising:
obtaining a user profile corresponding to a person in a workout area;
extracting a skeleton frame from images captured of the person;
tracking joint movements of the skeleton frame;
identifying an exercise performed by the tracked movement and counting a number of repetitions of the exercise performed; and
calculating a caloric expenditure based on the number of repetitions performed, a weight of the person, and a weight used when performing the exercise.
11. The method of claim 10 , wherein the exercise is identified by comparing the joint movement to a known joint movement associated with the exercise.
12. The method of claim 11 , wherein the known joint movement is an average of the user's previous movements.
13. The method of claim 11 , wherein the known joint movement is reviewed to derive training goals.
14. The method of claim 10 , comprising:
rendering the tracked movement of the skeleton frame on a display; and
using augmented reality to place a third party on the screen with the rendering of the person.
15. The method of claim 10 , wherein the exercise is identified via machine leaning.
16. The method of claim 10 , wherein the caloric expenditure is based on a MET value obtained from a lookup table.
17. The method of claim 10 , wherein virtual coaching is enabled via the smart gym with haptic, auditory, visual feedback.
18. The method of claim 10 , wherein in person coaching is enabled via the smart gym with post exercise playback or analysis.
19. At least one computer readable medium that enables a smart gym, the at least one computer readable medium comprising instructions stored therein that, in response to being executed on a computing device, cause the computing device to:
obtain a user profile corresponding to a person in the workout area;
extract a skeleton frame from images captured of the person;
track joint movements of the skeleton frame;
identify an exercise performed by the tracked movement and count a number of repetitions of the exercise performed; and
calculate a caloric expenditure based on the number of repetitions performed, a weight of the person, and a weight used when performing the exercise.
20. The computer readable medium of claim 19 , wherein the exercise is identified by comparing the joint movement to a known joint movement associated with the exercise.
21. The computer readable medium of claim 20 , wherein the known joint movement is an average of the user's previous movements.
22. The computer readable medium of claim 20 , wherein the known joint movement is reviewed to derive training goals.
23. The computer readable medium of claim 19 , wherein the instructions cause the computing device to:
render the tracked movement of the skeleton frame on a display; and
use augmented reality to place a third party on the screen with the rendering of the person.
24. The computer readable medium of claim 19 , wherein the exercise is identified via machine leaning.
25. The computer readable medium of claim 19 , wherein the caloric expenditure is based on a MET value obtained from a lookup table.