Validation of a 3D Markerless Motion Capture Tool Using Multiple Pose and Depth Estimations for Quantitative Gait Analysis

被引:1
作者
D'Haene, Mathis [1 ]
Chorin, Frederic [2 ,3 ]
Colson, Serge S. [2 ,3 ]
Guerin, Olivier [2 ,4 ]
Zory, Raphael [2 ,3 ,5 ]
Piche, Elodie [2 ,3 ]
机构
[1] Arts & Metiers Inst Biomecan Humaine Georges Charp, F-75013 Paris, France
[2] Univ Cote Azur, CHU, Nice, France
[3] Univ Cote Azur, LAMHESS, Nice, France
[4] Univ Cote Azur, CNRS, INSERM, IRCAN, Nice, France
[5] Inst Univ France IUF, F-75005 Paris, France
关键词
3D markerless motion capture; quantitative gait analysis; pose estimation; stereoscopic cameras; depth estimation; RELIABILITY; KINEMATICS; TREADMILL; VALIDITY; SPEED;
D O I
10.3390/s24227105
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Gait analysis is essential for evaluating walking patterns and identifying functional limitations. Traditional marker-based motion capture tools are costly, time-consuming, and require skilled operators. This study evaluated a 3D Marker-less Motion Capture (3D MMC) system using pose and depth estimations with the gold-standard Motion Capture (MOCAP) system for measuring hip and knee joint angles during gait at three speeds (0.7, 1.0, 1.3 m/s). Fifteen healthy participants performed gait tasks which were captured by both systems. The 3D MMC system demonstrated good accuracy (LCC > 0.96) and excellent inter-session reliability (RMSE < 3 degrees). However, moderate-to-high accuracy with constant biases was observed during specific gait events, due to differences in sample rates and kinematic methods. Limitations include the use of only healthy participants and limited key points in the pose estimation model. The 3D MMC system shows potential as a reliable tool for gait analysis, offering enhanced usability for clinical and research applications.
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页数:11
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