基于YOLO检测算法的引体向上有效计数方法及系统

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中图分类号：TP391.4 文献标志码：A

DOI： 10.13718/j. cnki. xdzk. 2025. 05.018

A Method and System for Effectively Counting Pull-Ups Based on YOLO Detection Algorithm

CHENG Guangxin¹， SHI Zhiming²， ZHAO Hang²， QIU Yepeng³

1.School of Sports，Southwest University，Chongqing 400715，China；

2. College of Artificial Intelligence，Southwest University，Chongqing 400715，China ;

3.College of Physical Education and Health Sciences，Chongqing Normal University，Chongqing 401331，China

Abstract： In response to the problems of excessive human resource consumption and insuficient accuracy in existing counting methods，a method based on YOLO detection algorithm to detect human skeletal key points for counting was proposed. This method improved the accuracy and eficiency of skeletal key points localization by improving the network structure and introducing jump connections. At the same time，the position of the lower jaw was calculated by combining the proportion of the head structure and experimental data，to achieve accurate detection of the head's position over horizontal bar. Finally，by combining skeletal key points tracking and violation detection，real-time counting was achieved. The accuracy of pullups detection reached 98.62% . The system has real-time detection，data collection，display，storage，and search functions，providing efficient and objective counting tools for sports exams.

Key words： pul-ups; skeletal key points;YOLO detection algorithm;counting system

引体向上是一项常见的体育运动项目，用于发展躯干和上肢肌肉力量，在日常生活中广泛开展。（剩余9475字）