Human Exercise Posture Analysis based on Pose Estimation
Lei Yang, Yingxiang Li, Degui Zeng, Dong Wang
Abstract
Exercise is an indispensable activity in people's spare time. Proper and correct exercise can not only help people to get a healthy body, but also help to reduce pressure and relax their mood. However, the wrong way of exercising not only makes the exercise fall short of expectations, but also causes muscle damage. Therefore, we have developed a set of human exercise posture analysis and guidance software to analyze the user's exercise posture through the video captured by the camera. This software chooses OpenPose as the basic pose estimation network, and two methods are proposed to improve the model effect. In addition, referring to the professional movement specifications, we define two correct forms of common movements: squats and push-ups. The software firstly conducts the human body posture detection, obtains the coordinate information of key points, then carries on the exercise posture analysis, and gives relevant suggestions according to the definition of the correct exercise form.