软件导刊2023，Vol.22Issue(12)：92-98,7.DOI:10.11907/rjdk.231758
面向体育测试的人体运动姿势实时识别研究
Research on Real-time Human Motion Posture Recognition for Sports Testing
摘要
Abstract
The traditional sports testing method needs professional testing equipment and personnel,which has the problems of high labor cost and inaccurate manual counting.Therefore,the purpose of this paper is to study a set of intelligent sports test system to help colleges and universities to get more accurate and more efficient sports test results.In order to improve the recognition accuracy,we proposed a model of pos-ture recognition of spatial fusion(Pos-RSF)based on the improved OpenPose algorithm,which could realize the fast and accurate recognition of human motion posture estimation in sports tests and improved the operating efficiency of the model.The experiment showed that the posture recognition model we studied has higher accuracy and better real-time,the overall score PCKh@0.2 was 91.2%,a significant improvement over the most advanced technology,and can meet the basic requirements of sports testing.关键词
体育测试/人体运动姿势/实时识别/姿势特征/图像识别Key words
sports testing/human motion posture/real-time recognition/posture features/image recognition分类
信息技术与安全科学引用本文复制引用
周川,秦蕾,毛小薇,文佳洛,王张车儿,李聪..面向体育测试的人体运动姿势实时识别研究[J].软件导刊,2023,22(12):92-98,7.基金项目
国家级大学生创新创业训练计划项目(202213235005,202113235001) （202213235005,202113235001）
湖北省教育厅科学研究计划指导性项目(B2022461) （B2022461）
湖北省教育科学规划项目(2022GB112) （2022GB112）
