How does pose estimation with collision detection work? (ex: shaking hands, punching in the face, counting footsteps)

Hello.


I am a noobie building a ML app. I am trying to understand how the math/code behind detecting collisions works.


So from my understanding, I can train a model to and use **pose estimation** to detect where a person is and his orientation, whilst tracking his key points and coordinates at all times.


After I've done this, then I can use **action recognition** to detect and classify what sort of action he/she is performing.


What is the next step …

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