Validity of key points detection technology of artificial intelligence in gait kinematics analysis
LIU Fangchao
ZHANG Yuanmingfei
WU Meiqi
ZHOU Mouwang
LI Tao
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.
Keywords：gait analysis systemkinematicsartificial intelligencekey pointsvalidity
Publication Date：2025-03-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 249-253 )