Design and Implementation of Fitness Dance Scoring System Based on Human Posture Recognition

In response to the frequent occurrence of disability incidents resulting from improper home fitness practices, a fitness dance scoring system based on human pose recognition has been developed. The system comprises several modules, including the standard video preprocessing module, action information storage module, user action processing module, action scoring module, follow-along guidance module, and UI interaction module. Keyframe sequences are extracted from fitness dance videos, and coordinate information of skeletal points is extracted using OpenPose. It employs various similarity algorithms such as dynamic time warping and frame difference to calculate the similarity between standard dance motions and user motions. Real-time scoring is provided along with guidance to help users improve their movements. The system has been tested and has demonstrated high real-time performance and accuracy on personal computers. It enables comprehensive and detailed evaluation of user performance, providing ordinary users with a scientific and safe home fitness solution, and effectively preventing disability incidents caused by improper exercise.