The Potential of Computer Vision-Based Marker-Less Human Motion Analysis for Rehabilitation

202184 citationsReviewgold Open Access

Authors

Thomas Hellstén · Arcada University of Applied Sciences

Jonny Karlsson · Arcada University of Applied Sciences

Muhammed Shamsuzzaman · Arcada University of Applied Sciences

Göran Pulkkis · Arcada University of Applied Sciences

Abstract

Even though test results of different applications for some proposed techniques are promising, more rigour testing is required for validating their accuracy before they can be widely adopted in advanced rehabilitation applications.

Topics & Keywords

Diabetic Foot Ulcer Assessment and Management Human Pose and Action Recognition Stroke Rehabilitation and Recovery

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Rehabilitation Process and Outcome

Volume 10, pp. 11795727211022330-11795727211022330

DOI: 10.1177/11795727211022330

Field-Weighted Citation Impact: 8.51