Accuracy Evaluation of Computer Vision-based Markerless Human Pose Estimation for Measuring Shoulder Range of Motion
Year of publication
2025
Authors
Hellstén, Thomas; Karlsson, Jonny
Abstract
TeleRehabilitation (TR) requires precise joint Range Of Motion (ROM) measurement methods. This study assessed the accuracy of a Computer Vision (CV)-based markerless Human Pose Estimation (HPE) application for active shoulder ROM by comparing it with Universal Goniometry (UG) in 20 healthy volunteers. The correlation coefficients between the two methods were 0.94 for shoulder extension, 0.83 for adduction, 0.76 for abduction, and 0.67 for flexion, with mean differences ranging from 3.6° in flexion to - 7° in adduction. These findings indicate that the markerless CV application is a moderately accurate tool for measuring shoulder ROM.
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Publisher
Pages
46-48
ISSN
ISBN
Publication forum
Publication forum level
0
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Other information
Fields of science
Health care science
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Publication country
France
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes