SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm
文献类型：会议论文
| 作者 | Zhao XG(赵新刚) ; Liu, Dongsheng; Ye D(叶丹)
|
| 出版日期 | 2015 |
| 会议名称 | 27th Chinese Control and Decision Conference, CCDC 2015 |
| 会议日期 | May 23-25, 2015 |
| 会议地点 | Qingdao, China |
| 关键词 | sEMG motion estimation SVM gravitational search algorithm rehabilitation robot |
| 页码 | 4403-4407 |
| 中文摘要 | Recently the surface electromyogram signal (sEMG) based motion estimation developed rapidly, which focus on intention recognition but the other information of motion is not concerned. This paper proposed a sEMG based quantitative analysis method to estimate movement of human joints, which was used to control the upper limb rehabilitation robot system by participant's own arm. The quantitative model was established utilizing support vector machine (SVM). In order to improve the fitting accuracy and generalization ability of the support vector machine model, an algorithm for the SVM parameter optimization was proposed based on the gravitational search algorithm. The simulated experiments show that the SVM regression model based on the gravitational search algorithm has a high accuracy and strong generalization ability. Initial online experiments on rehabilitation robot controlled by a healthy participant demonstrated that the sEMG based control method using the proposed method was feasible. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-7016-2 |
| WOS记录号 | WOS:000375232905146 |
| 源URL | [http://ir.sia.cn/handle/173321/17198]  |
| 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 | Zhao XG,Liu, Dongsheng,Ye D. SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015. |
入库方式： OAI收割
来源：沈阳自动化研究所
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