中国康复理论与实践2025，Vol.31Issue(3)：249-253,5.DOI:10.3969/j.issn.1006-9771.2025.03.001
人工智能人体关键点检测技术在步态运动学分析中的效度
Validity of key points detection technology of artificial intelligence in gait kinematics analysis
摘要
Abstract
Objective To develop a multi-parameter gait kinematics analysis and measurement system using artificial intelligence key point detection technology(AI system),and verify the effectiveness of the measurement. Methods A total of ten inpatients with abnormal gait were selected in Peking University Third Hospital from April to Oc-tober,2022,while ten normal subjects were recruited.Their gait data were measured using GaitWatch and AI sys-tem simultaneously. Results Compared with those from GaitWatch,the mean absolute error(MAE)of stride frequency,gait period,stride length and stride speed were little from AI system,with high accuracy(>95%)and good consistency(ICC>0.75);however,MAE of hip,knee and ankle angles was larger,and correlation was satisfactory(r>0.60). Conclusion The novel gait analysis system is accurate and consistent in measuring spatiotemporal gait parameters,but not well in measuring joint angles,which need to be modified.关键词
步态分析系统/运动学/人工智能/关键点/效度Key words
gait analysis system/kinematics/artificial intelligence/key points/validity分类
医药卫生引用本文复制引用
刘芳超,张元鸣飞,武美奇,周谋望,李涛..人工智能人体关键点检测技术在步态运动学分析中的效度[J].中国康复理论与实践,2025,31(3):249-253,5.基金项目
1.中国自然科学基金青年基金项目(No.82202817) （No.82202817）
2.国家重点研发计划项目(No.2018YFF0301104) Supported by National Natural Science Foundation of China(Youth)(No.82202817),and National Key Research and Development Program of China(No.2018YFF0301104) （No.2018YFF0301104）
