An Upper Extremity Rehabilitation System Using Efficient Vision-Based Action Identification Techniques

An Upper Extremity Rehabilitation System Using Efficient Vision-Based Action Identification Techniques

This study proposes an action identification system for home upper extremity rehabilitation. In the proposed system, we apply an RGB-depth (color-depth) sensor to capture the image sequences of the patient’s upper extremity actions to identify its movements. We apply a skin color detection...

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Bibliographic Details
Main Authors: Yen-Lin Chen, Chin-Hsuan Liu, Chao-Wei Yu, Posen Lee, Yao-Wen Kuo
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Applied Sciences
Subjects:
upper extremity identification
color and depth sensors
skeleton points
rehabilitation actions
home rehabilitation
computer vision
Online Access:http://www.mdpi.com/2076-3417/8/7/1161

Internet

http://www.mdpi.com/2076-3417/8/7/1161

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