Literature DB >> 33636458

Verification of validity of gait analysis systems during treadmill walking and running using human pose tracking algorithm.

Megumi Ota1, Hiroshige Tateuchi2, Takaya Hashiguchi3, Noriaki Ichihashi4.   

Abstract

BACKGROUND: The 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 QUESTION: What is the validity of OpenPose-based gait analysis?
METHODS: Twenty-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.
RESULTS: For 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. SIGNIFICANCE: The 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.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait analysis; Human pose tracking algorithm; OpenPose

Year:  2021        PMID: 33636458     DOI: 10.1016/j.gaitpost.2021.02.006

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  9 in total

1.  Association Between Temporal Asymmetry and Muscle Synergy During Walking With Rhythmic Auditory Cueing in Survivors of Stroke Living With Impairments.

Authors:  Naomichi Mizuta; Naruhito Hasui; Yuki Nishi; Yasutaka Higa; Ayaka Matsunaga; Junji Deguchi; Yasutada Yamamoto; Tomoki Nakatani; Junji Taguchi; Shu Morioka
Journal:  Arch Rehabil Res Clin Transl       Date:  2022-02-24

2.  Verification of gait analysis method fusing camera-based pose estimation and an IMU sensor in various gait conditions.

Authors:  Masataka Yamamoto; Koji Shimatani; Yuto Ishige; Hiroshi Takemura
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

3.  Identifying the Posture of Young Adults in Walking Videos by Using a Fusion Artificial Intelligent Method.

Authors:  Posen Lee; Tai-Been Chen; Chin-Hsuan Liu; Chi-Yuan Wang; Guan-Hua Huang; Nan-Han Lu
Journal:  Biosensors (Basel)       Date:  2022-05-03

4.  Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context.

Authors:  Luiz H Palucci Vieira; Paulo R P Santiago; Allan Pinto; Rodrigo Aquino; Ricardo da S Torres; Fabio A Barbieri
Journal:  Int J Environ Res Public Health       Date:  2022-01-21       Impact factor: 3.390

Review 5.  Applications of Pose Estimation in Human Health and Performance across the Lifespan.

Authors:  Jan Stenum; Kendra M Cherry-Allen; Connor O Pyles; Rachel D Reetzke; Michael F Vignos; Ryan T Roemmich
Journal:  Sensors (Basel)       Date:  2021-11-03       Impact factor: 3.576

6.  Biomechanical Analysis of the Throwing Athlete and Its Impact on Return to Sport.

Authors:  Nicholas A Trasolini; Kristen F Nicholson; Joseph Mylott; Garrett S Bullock; Tessa C Hulburt; Brian R Waterman
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-01-28

7.  Merged swing-muscle synergies and their relation to walking characteristics in subacute post-stroke patients: An observational study.

Authors:  Naomichi Mizuta; Naruhito Hasui; Yuki Nishi; Yasutaka Higa; Ayaka Matsunaga; Junji Deguchi; Yasutada Yamamoto; Tomoki Nakatani; Junji Taguchi; Shu Morioka
Journal:  PLoS One       Date:  2022-02-04       Impact factor: 3.240

8.  Multi-Camera Multi-Person Tracking and Re-Identification in an Operating Room.

Authors:  Haowen Hu; Ryo Hachiuma; Hideo Saito; Yoshifumi Takatsume; Hiroki Kajita
Journal:  J Imaging       Date:  2022-08-17

9.  Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.

Authors:  Jingyuan Fan; Fanbin Gu; Lulu Lv; Zhejin Zhang; Changbing Zhu; Jian Qi; Honggang Wang; Xiaolin Liu; Jiantao Yang; Qingtang Zhu
Journal:  BMC Musculoskelet Disord       Date:  2022-09-21       Impact factor: 2.562

  9 in total

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