A hybrid EMG model for the estimation of multijoint movement in activities of daily living
文献类型：会议论文
| 作者 | Ding QC(丁其川) ; Zhao XG(赵新刚); Han JD(韩建达)
|
| 出版日期 | 2014 |
| 会议名称 | 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 |
| 会议日期 | September 28-30, 2014 |
| 会议地点 | Beijing, China |
| 关键词 | surface electromyography Human-Robot Interface motion estimation pattern recognition |
| 页码 | 1-6 |
| 中文摘要 | Accurately identifying human's intent of motion from electromyography (EMG) signals is the key to implement EMG-based HRI (Human-Robot Interface) systems. Human's intent of motion includes motion modes and continuous movement variables. In this paper, a hybrid EMG-to-motion model is constructed by combining a classification model and a regression model. Based on a proper division for joints, the classification model is utilized to recognize the motion modes of 'small' joints; meanwhile, the regression model is utilized to estimate the continuous movement variables of 'big' joints. Furthermore, a Bayesian network (BN) model, which sufficiently employs context information of a task, is also involved into the hybrid model to improve its performances for motion estimation. Experiments have been conducted with three subjects to demonstrate the feasibility of the proposed methods. In these experiments, the motion modes of hand and wrist, and the continuous elbow angles are estimated with sEMG signals considering a 'drinking' task. Finally, an upper limb prosthetic is controlled to simulate human's movement in a 'drinking' task. © 2014 IEEE. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-6731-5 |
| WOS记录号 | WOS:000358878700120 |
| 源URL | [http://ir.sia.cn/handle/173321/15684]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Ding QC,Zhao XG,Han JD. A hybrid EMG model for the estimation of multijoint movement in activities of daily living[C]. 见:2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014. Beijing, China. September 28-30, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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