QQ客服 官方微博 反馈留言

	Research on Recognition of Forearm sEMG Signal Based on Different Motion Modes
	Zhenxin Chen; Guanglin Li; Shixiong Chen; Menglong Fu; Jinwei Xue; Pingao Huang; Wenhao Wei
	2018
会议日期	2018
会议地点	深圳
英文摘要	Pattern recognition of limb motion based electromyography (EMG) is a core technique in active prosthesis control. By decoding different EMG signal, we can obtain different motion intentions. As a kind of EMG signal, surface electromyogram signal (sEMG) signal are widely used in research for its non-invasive characteristic. How to collect sEMG signal for recognition effectively is momentous part for EMG signal decoding. For this, we design two methods of collecting sEMG signal, which according to the situation in the experiment. One method is to repeatedly collect the same action until all the interested actions are collected. Another method of sample is to acquire the interested movements randomly. Ultimately, we find that the average recognition rates of these two methods are 96.9% and 97.5% respectively. These two methods have no significant effect on the final classification results. Therefore, in the experiment, we can take a more convenient method of continuous action acquisition to obtain sEMG signal. At the same time, the classification results are sent to the control system for verification, which we obtained a high quality recognition results. This also indirectly verifies the usability of the EMG acquisition system we designed.
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14464]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Zhenxin Chen,Guanglin Li,Shixiong Chen,et al. Research on Recognition of Forearm sEMG Signal Based on Different Motion Modes[C]. 见:. 深圳. 2018.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。