Multi-modal Intent Recognition Method for the Soft Hand Rehabilitation Exoskeleton
文献类型：会议论文
| 作者 | Chen WY(陈文远)1,2,3; Yu P(于鹏)2,3 ; Li GY(李广勇)4; Wang WX(王文学)2,3; Yao C(姚辰)2,3; Liu LQ(刘连庆)2,3
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| 出版日期 | 2020 |
| 会议日期 | July 27-29, 2020 |
| 会议地点 | Shenyang, China |
| 关键词 | soft hand exoskeleton bionics anatomy Conference muti-modal intention recognition method |
| 页码 | 3789-3794 |
| 英文摘要 | Stroke has become the second most disabling disease in the world. Due to the intensive demand for physical therapists and the severe dependence on hospitals, the cost for the treatment of stroke patients is huge. As the most flexible limb of the human body, the hand faces more severe challenges, which has a much lower degree of recovery than the upper and lower limbs. In the face of these challenges, a new treatment, exoskeleton-based rehabilitation, has demonstrated new vitality. This paper proposes a novel design of the soft hand exoskeleton based on bionics and anatomy and the exoskeleton could help the users bend and extend their fingers, which would greatly improve the motor ability of stroke patients. Through the control of the six drive motors, the exoskeleton could achieve most of the hand's freedom of training. At the same time, we propose a multi-modal intent recognition method based on machine vision and machine speech. Under specific rehabilitation training scenarios, both healthy subjects and patients could complete grasping tasks in the wearing of the exoskeleton, overcoming potential security risks caused by misidentification due to using the single-modal intent understanding method. |
| 源文献作者 | Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT) of Chinese Association of Automation (CAA) |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 39th Chinese Control Conference, CCC 2020
 |
| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, USA |
| 语种 | 英语 |
| ISSN号 | 1934-1768 |
| ISBN号 | 978-9-8815-6390-3 |
| WOS记录号 | WOS:000629243503160 |
| 源URL | [http://ir.sia.cn/handle/173321/27702]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Yu P(于鹏); Li GY(李广勇) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 4.Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh |
| 推荐引用方式 GB/T 7714 | Chen WY,Yu P,Li GY,et al. Multi-modal Intent Recognition Method for the Soft Hand Rehabilitation Exoskeleton[C]. 见:. Shenyang, China. July 27-29, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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