Voice controlled wheelchair integration rehabilitation training and posture transformation for people with lower limb motor dysfunction

Author:

Cao Wujing12345,Yu Hongliu14,Wu Xinyu235,Li Sujiao14,Meng Qiaoling14,Chen Chunjie235

Affiliation:

1. Rehabilitation Engineering and Technology Institute, University of Shanghai for Science and Technology, Shanghai, China

2. Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen, Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

3. CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Shenzhen, China

4. Shanghai Engineering Research Center of Assistive Devices, Shanghai, China

5. Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems

Abstract

BACKGROUND: Stroke and other neurological disorders have an effect on mobility, which has a significant impact on independence and quality of life. The core rehabilitation requirements for patients with lower limb motor dysfunction are gait training, re-stand and mobility. OBJECTIVE: A wheelchair called ReChair was invented that seamlessly integrated mobility, gait training and multi-posture transformation with voice control. METHODS: The mechanical structure and control system of ReChair were designed. The overall evaluation included voice recognition and balance training test to quantitatively verify the performance of ReChair. RESULTS: The average success recognition rate of posture transformation by voice control can reach 91% to 96% in a quiet environment (20–30 DB). The balance training game is easy to operate and the score can be used as a quantified guideline for rehabilitation. CONCLUSION: The proposed rehabilitation wheelchair can realize multi-posture transformation and balance training by the voice control system.

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference10 articles.

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