Shared Control Design Methodologies of an Electric Wheelchair for Individuals with Severe Disabilities using Reinforcement Learning-Reference-Cited by-同舟云学术

Shared Control Design Methodologies of an Electric Wheelchair for Individuals with Severe Disabilities using Reinforcement Learning

Published:2020 Issue:2 Volume:7 Page:300-319
ISSN:2188-5303
Container-title:Journal of Advanced Simulation in Science and Engineering
language:en
Short-container-title:JASSE

Author:

Xi Lele¹,Shino Motoki¹

Affiliation:

1. Department of Human and Engineered Environment Studies, Graduate School of Frontier Sciences, The University of Tokyo (UT)

Publisher

Japan Society for Simulation Technology

Subject

General Engineering

Link

https://www.jstage.jst.go.jp/article/jasse/7/2/7_300/_pdf

Reference23 articles.

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2. [2] M. Liu, K. Mieno, K. Hanayama, T. Fujiwara, N. Chino: Practical problems and management of seating through the clinical stages of Duchenne's muscular dystrophy. Arch Phys Med Rehabil. 84:6(2003), 818-824.

3. [3] Easy-to-use switch controller design for Duchenne Muscu-lar Dystrophy, Ministry of Health, Labour and Welfare, 2005. (in Japanese)

4. [4] M. Shino, Y. Yamamotoa, T. Mikatab, T. Inouec: Input device for electric wheelchairs considering physical functions of persons with severe Duchenne Muscular Dystrophy, Technology and Disability, 26(2014), 105-115.

5. [5] L. Xi, Y. Yamamotoa, M. Shino: One Dimensional Input Device of Electric Wheelchair for Persons with Severe Duchenne Muscular Dystrophy, AAATE Conference , 2017, 770-777.

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