Verification of reliability and validity of motion analysis systems during bilateral squat using human pose tracking algorithm

Megumi Ota, Hiroshige Tateuchi, Takaya Hashiguchi, Takehiro Kato, Yasuhiro Ogino, Momoko Yamagata, Noriaki Ichihashi, Megumi Ota, Hiroshige Tateuchi, Takaya Hashiguchi, Takehiro Kato, Yasuhiro Ogino, Momoko Yamagata, Noriaki Ichihashi

Abstract

Background: The human tracking algorithm called OpenPose can detect joint points and calculate joint angles. However, the reliability and validity of OpenPose have not been clarified yet.

Research question: Are there the enough reliability and validity of OpenPose based motion analysis?

Methods: 20 healthy young subjects participated in this study. The motion task was a bilateral squat. The joint angles of the trunk, hip, knee, and ankle were calculated using OpenPose and VICON. Kinematic measurements by three-dimensional motion analysis devices were recorded using VICON. Simultaneously, the images were taken with a digital camera from the right side. After the images were processed with OpenPose, joint angles were calculated from estimated joint points. To confirm the test-retest reliability within device, intraclass correlation coefficients [ICC (1, 3)] were calculated. To confirm the validity, linear regression analysis and ICC (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: ICCs (1, 3) of the data obtained by OpenPose and VICON were almost perfect. There were significant associations between the data obtained by OpenPose and VICON. ICCs (2, 1) between the data obtained by OpenPose and VICON were almost perfect or substantial for trunk, knee and ankle joints, and fair on the hip joint. There were fixed biases on knee and ankle joints, and proportional biases on trunk and hip joint.

Significance: OpenPose based motion analysis is reliable and has the advantage of being low cost and easier to operate than conventional methods. In future, to consider the clinical utility of OpenPose, it is necessary to identify the error between the true values indicating actual joint movement and data obtained by OpenPose with its correction for fixed and proportional biases. (295 words).

Keywords: Human pose tracking algorithm; Motion analysis; OpenPose.

Conflict of interest statement

Declaration of Competing Interest The authors declare financial conflicts of interest concerning this study. The first author of this article: Ota, and the coauthor: Tateuchi belong to collaborative research laboratory in Kyoto University donated by Smart Health Incorporated. The co-author of this article: Ichihashi and Tateuchi of Kyoto University, Ogino and Hashiguchi of Smart Health Incorporated have applied for patents about OpenPose.

Copyright © 2020 Elsevier B.V. All rights reserved.

Source: PubMed

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