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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Robot. AI | doi: 10.3389/frobt.2019.00102

A novel robot-aided upper limb rehabilitation training system based on multimodal feedback

 Lizheng Pan1*, Lu Zhao1,  Aiguo Song2, Zeming Yin1 and Shigang She1
  • 1School of Mechanical Engineering, Changzhou University, China
  • 2School of Instrument Science and Engineering, Southeast University, China

During robot-aided rehabilitation exercises, monotonous and repetitive actions can, to the subject, feel tedious and tiring, so improving the subject’s motivation and active participation in the training is very important. A novel robot-aided upper limb rehabilitation training system, based on multimodal feedback, is proposed in this investigation. To increase the subject’s interest and participation, a friendly graphical user interface and diversiform game-based rehabilitation training tasks incorporating multimodal feedback are designed, to provide the subject with colorful and engaging motor training. During this training, appropriate visual, auditory and tactile feedback is employed to improve the subject’s motivation via multi-sensory incentives relevant to the training performance. This approach is similar to methods applied by physiotherapists to keep the subject focused on motor training tasks. The experimental results verify the effectiveness of the designed multimodal feedback strategy in promoting the subject's participation and motivation.

Keywords: Rehabilitation robot, Upper limb, Motion training, Multimodal feedback, Stroke

Received: 31 May 2019; Accepted: 08 Oct 2019.

Copyright: © 2019 Pan, Zhao, Song, Yin and She. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Lizheng Pan, School of Mechanical Engineering, Changzhou University, Changzhou, China, plz517@sina.com.cn