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I am currently working on a new project aimed at tracking treadmill steps in an app via a front-facing camera. I'm still in the early idea phase and I'm trying to decide if it would be better/more accurate to track a person's steps via something like Pose Detection in OpenCv or via some sort of Object Detection/tracking. My thought process with the latter is that maybe the user could wear something like a red glove that the program can identify and track. When said glove goes up (as a person jogs, for example) a single step is logged. I feel like Pose Detection would be easier to implement and fewer steps, but I have never used the program and I'm not sure how well it would log what would probably be only the front, upper half of a person who is running in place. In contrast, with object tracking, people run/walk/move differently. And if you're walking, you have much less hand movement so the program might struggle to identify the object and movement.

Absolutely any and every suggestion and tip are very much appreciated and needed. Thank you!

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    Welcome to stackoverflow, please carefully read stackoverflow.com/help/minimal-reproducible-example Commented Dec 28, 2021 at 5:24
  • does everything have to be solved with magic (AI, vision) these days? step counting isn't a new invention. there are countless ways to do that reliably. you should do some "literature review" on step counting methods. Commented Dec 28, 2021 at 14:07
  • @ChristophRackwitz I did do some research in this regard, my biggest hurdle is that I am looking for something camera-based, rather than the use of an accelerometer, which is "bounce-based". If you have any advice in this regard I'm all ears. Thanks for your comment. Commented Dec 28, 2021 at 18:08
  • well, use openpose or sth like it Commented Dec 28, 2021 at 19:35
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