Continuous human gait tracking using sEMG signals
文献类型：会议论文
| 作者 | Xiong DZ(熊德臻)1,2,3; Zhang DH(张道辉)1,3 ; Zhao XG(赵新刚)1,3; Zhao YW(赵忆文)1,3
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| 出版日期 | 2020 |
| 会议日期 | July 20-24, 2020 |
| 会议地点 | Montreal, QC, Canada |
| 页码 | 3094-3097 |
| 英文摘要 | Gait can reflect human biological status during walking, which can be used for disease detect, identity verification or robot control, etc. Traditionally, gait analysis only classifies a gait cycle into a few discrete stages. In this paper, human gait will be decoded continuously using surface electromography (sEMG). The angle of knee joint and ankle joint during walking at different speed will be estimated at the same time by the proposed scheme. Four time domain features combined together will be used for the task. Six estimation methods will be compared and the best performance reaches the RMSE of 6.64° for knee and 3.89° for ankle. The proposed method shows great potential for the gait tracking problem. |
| 产权排序 | 1 |
| 会议录 | 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-1990-8 |
| WOS记录号 | WOS:000621592203108 |
| 源URL | [http://ir.sia.cn/handle/173321/27671]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Xiong DZ(熊德臻) |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing 100049, China 3.Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Xiong DZ,Zhang DH,Zhao XG,et al. Continuous human gait tracking using sEMG signals[C]. 见:. Montreal, QC, Canada. July 20-24, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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