首页 | 本学科首页   官方微博 | 高级检索  
检索        


Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm
Institution:1. Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal;2. KU Leuven, Campus Brugge, Belgium;3. Instituto de Telecomunicações, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal;1. Department of Kinesiology and Sport Sciences, School of Education & Human Development, University of Miami, Coral Gables, FL 33146, USA;2. Department of Kinesiology, School of Education, Michigan State University, East Lansing, MI 48824, USA;3. Department of Medicine, University of Parma, Via Gramsci, 14, Parma 43100, Italy;4. Center on Aging, Miller School of Medicine, 1695 N.W. 9th Avenue, Suite 3204, Miami, FL 33136, USA
Abstract:BackgroundThe human tracking algorithm called OpenPose can detect joint points and measure segment and joint angles. However, the validity of gait analysis using OpenPose has not been examined yet.Research questionWhat is the validity of OpenPose-based gait analysis?MethodsTwenty-four healthy young people participated in this study. The participants were assessed during walking and running. Pelvic segment angles, and hip, knee, and ankle joint angles during treadmill walking and running were measured using VICON. Simultaneously, images were captured using digital cameras from the right and back sides. After processing with OpenPose, the corresponding angles were measured from the estimated joint points. To validate these estimations, linear regression analysis was performed, and intraclass correlation coefficients ICCs (2, 1)] between the data obtained by OpenPose and VICON were calculated. Furthermore, the agreement between the data obtained by OpenPose and VICON was assessed by Bland–Altman analysis.ResultsFor most ranges of motion (ROM) in the sagittal plane, the hip, knee, and ankle joints had large coefficients of determination, without proportional biases. For most peak angles in the sagittal plane, the knee and ankle joints had large coefficients of determination without proportional biases, although the hip joint had nonsignificant coefficients of determination and proportional biases. In particular, for the hip flexion-extension ROM and peak knee flexion angle during running and the knee ROM during slow walking, the ICCs showed good to excellent agreement. However, for the parameters of the pelvis and hip joint in the frontal plane, there were nonsignificant coefficients of determination and poor ICCs with fixed and proportional biases.SignificanceThe lower limb ROM in the sagittal plane during gait can be measured by the OpenPose-based motion analysis system. The markerless systems have the advantage of being more economical and convenient than conventional methods.
Keywords:Gait analysis  Human pose tracking algorithm  OpenPose
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号