基于YOLO檢測算法的引體向上有效計數(shù)方法及系統(tǒng)
中圖分類號:TP391.4 文獻標(biāo)志碼: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
引體向上是一項常見的體育運動項目,用于發(fā)展軀干和上肢肌肉力量,在日常生活中廣泛開展。(剩余9475字)
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- 西南大學(xué)學(xué)報(自然科學(xué)版)
- 2025年05期
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