Wu, L orcid.org/0000-0002-0712-3762, Xie, S, Zhang, Z orcid.org/0000-0003-0204-3867 et al. (1 more author) (2019) Energy Efficiency of Gait Rehabilitation Robot: A Review. In: 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 08-12 Jul 2019, Hong Kong, China. Institute of Electrical and Electronics Engineers , pp. 465-470. ISBN 978-1-7281-2493-3
Abstract
Gait rehabilitation robots have been reported to reduce impairment and regain functional abilities of gait disorder significantly. While energy efficiency is essential in the process of gait rehabilitation, few gait rehabilitation robots can achieve it. This paper aims to emphasize the importance of energy efficiency on the development of gait rehabilitation robots and conduct a view of rehabilitation training approaches as well as robots. Gaps and conflicts in traditional rehabilitation robots are analyzed based on the rehabilitation requirements and energy efficiency. While related research in reduction on energy consumption of human and optimization of human with device together during walking, is summarized. Finally, we discuss and highlight the future directions regarding the energy-efficient feature in gait rehabilitation robots.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. This is an author produced version of a paper published in 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Legged locomotion; Training; Energy efficiency; Rehabilitation robotics; Robot kinematics; Robot sensing systems |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/S019219/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 May 2019 14:32 |
Last Modified: | 19 Dec 2019 16:00 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/AIM.2019.8868444 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146722 |