测控技术2026，Vol.45Issue(9)：32-43,68,13.DOI:10.19708/j.ckjs.2026.08.229
基于机器视觉的人体运动姿态估计方法
Human Motion Pose Estimation Method Based on Machine Vision
摘要
Abstract
To address the quantitative evaluation needs of the standing long jump action,a method for pose esti-mation and performance prediction based on machine vision is proposed.Human pose estimation algorithms are utilized to obtain the dynamic coordinates of 33 key joint points.Gaussian filtering and standard deviation anal-ysis are employed to automatically locate the key frames of takeoff and landing,and motion parameters such as air time are extracted.Through integration of physical and motion feature data,multi-factor analysis identifies corrected flight time,body score,and body weight as core influencing factors,and a multiple linear regression prediction model is established.Experimental results show that this method can accurately determine the pose movement phase.The predicted performance for the example athlete is 1.478 m,which is expected to increase to 1.525 m after targeted pose training.This research provides technical support for intelligent and personalized sports training.关键词
人体姿态估计/立定跳远/标准差分析法/多因素分析法/多元线性回归Key words
human pose estimation/standing long jump/standard deviation analysis method/multifactor analy-sis method/multiple linear regression分类
信息技术与安全科学引用本文复制引用
岳高峰,韩迪,刘瑞,李俊锡,殷德伟..基于机器视觉的人体运动姿态估计方法[J].测控技术,2026,45(9):32-43,68,13.基金项目
西安航空职业技术学院自然科学基金(25XHZK-13,25XHZQ-05) （25XHZK-13,25XHZQ-05）
西安航空职业技术学院创新团队项目(KJTD21-002) （KJTD21-002）
西安航空职业技术学院高层次人才项目(2026XHQDJ02) （2026XHQDJ02）
