徐州工程学院学报（自然科学版）2025，Vol.40Issue(3)：80-86,7.
基于融合姿态特征与DTW的体育动作识别方法
Sports Action Recognition Method Integrating Pose Feature and Dynamic Time Warping(DTW)
摘要
Abstract
The current intelligent mode of physical education teaching is developing rapidly.However,relying solely on manual observation by teachers to identify students'sports actions during the teaching process can easily lead to issues such as untimely feedback and subjective evaluations.This study therefore proposes a sports action recognition method that integrates pose features with the dynamic time warping(DTW)algorithm.Based on the skeletal point feature output from OpenPose,the method fuses features such as the center of gravity,limb angles and orientations of students during sports activities and uses DTW for alignment and evaluation.Experimental results show that,of the 400 action samples in the training dataset,the OpenPose+DTW model correctly identified 372 samples with a total recognition rate of 93%,which is higher than that of other models.In an experiment involving 50 actions in broadcast gymnastics teaching,the OpenPose+DTW model misjudged five samples,achieving a recognition accuracy of 90%.These results suggest that the sports action recognition model integrating pose features and the DTW algorithm exhibits excellent performance and can support online physical education teaching scenarios.关键词
OpenPose/动态时间规整算法/体育教学/动作识别Key words
OpenPose/dynamic time warping(DTW)algorithm/physical education teaching/action recognition分类
信息技术与安全科学引用本文复制引用
金想茹,张胜利,刘伟..基于融合姿态特征与DTW的体育动作识别方法[J].徐州工程学院学报（自然科学版）,2025,40(3):80-86,7.基金项目
安徽省高校科学研究项目(2023AH053028) （2023AH053028）
安徽省高等学校省级质量工程项目(2024jyxm0956) （2024jyxm0956）
