中国科学院机构知识库网格系统: PCA and LDA for EMG-based control of bionic mechanical hand

PCA and LDA for EMG-based control of bionic mechanical hand

文献类型：会议论文


作者	Zhang DH(张道辉); Xiong AB(熊安斌); Zhao XG(赵新刚); Han JD(韩建达)
出版日期	2012
会议名称	2012 IEEE International Conference on Information and Automation, ICIA 2012
会议日期	June 6, 2012 - June 8, 2012
会议地点	Shenyang, China
关键词	Bionics Electromyography End effectors Principal component analysis
页码	960-965
通讯作者	张道辉
中文摘要	Electromyography (EMG) has some good abilities for bionic mechanical hand's control and researchers have proposed many kinds of methods for EMG classification. Principal Components Analysis (PCA) which is an ideal tool for dimension reduction tool was introduced for EMG classification. Linear Discriminant Analysis (LDA) performs outstandingly on classification. This paper does a comparative study on PCA and LDA for EMG classification, mainly including LDA for raw EMG, LDA for features, PCA and LDA for raw EMG and PCA and LDA for features. Here five time-domain features and four frequency-domain features are selected. The five hand motions including hand closing, hand opening, index finger pinching, middle finger pinching and hand relaxing are selected for classification. The result shows PCA and LDA for features obtain 99.0% motion success rate and 99.8% success rate of classification. The bionic mechanical hand got a good performance. © 2012 IEEE.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	2012 IEEE International Conference on Information and Automation, ICIA 2012
会议录出版者	IEEE Computer Society
会议录出版地	Washington, DC
语种	英语
ISBN号	978-1-4673-2238-6
WOS记录号	WOS:000318899300176
源URL	[http://ir.sia.cn/handle/173321/9876]
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	Zhang DH,Xiong AB,Zhao XG,et al. PCA and LDA for EMG-based control of bionic mechanical hand[C]. 见:2012 IEEE International Conference on Information and Automation, ICIA 2012. Shenyang, China. June 6, 2012 - June 8, 2012.

入库方式： OAI收割

来源：沈阳自动化研究所

下载0

PCA and LDA for EMG-based control of bionic mechanical hand

其他版本