Validity of key points detection technology of artificial intelligence in gait kinematics analysis
10.3969/j.issn.1006-9771.2025.03.001
- VernacularTitle: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
- Author:
Fangchao LIU
1
;
Yuanmingfei ZHANG
;
Meiqi WU
;
Mouwang ZHOU
;
Tao LI
Author Information
1. 北京大学第三医院,北京市 100191
- Publication Type:Journal Article
- Keywords:
gait analysis system;
kinematics;
artificial intelligence;
key points;
validity
- From:
Chinese Journal of Rehabilitation Theory and Practice
2025;31(3):249-253
- CountryChina
- Language:Chinese
-
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.
