Real-time myoelectric prosthetic-hand control to reject outlier motion interference using one-class classifier
文献类型：会议论文
| 作者 | Han JD(韩建达) ; Ding QC(丁其川); Li ZY(李自由); Zhao XG(赵新刚); Xiao, Yongfei
|
| 出版日期 | 2017 |
| 会议名称 | 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017 |
| 会议日期 | May 19-21, 2017 |
| 会议地点 | Hefei, China |
| 关键词 | electromyography (EMG) myoelectric control motion recognition one-class classification |
| 页码 | 96-101 |
| 通讯作者 | Ding QC(丁其川) |
| 中文摘要 | Electromyography (EMG) has been popularly used as interface command to achieve a natural control for myoelectric prosthetic-hands. Traditional EMG-based recognition methods always only focus on the classification of target motion classes that were defined in the training phase, but have no ability to reject outlier motion interferences that did not present before. In this paper, a hybrid classifier that combines one one-class Gaussian classifiers and a multi-class LDA was constructed to achieve EMG-based motion classification, in which Gaussian classifiers were used to reject outlier interferences, while LDA was used to classify target motion samples. The robust hybrid classifier is easily built and has low run-time complexity. Extensive experiments were conducted to verify the performance of the proposed hybrid classifier, where 91.6% of target motion recognition accuracy and 96.5% of outlier motion rejection accuracy were respectively obtained. Finally, the hybrid classifier was involved to achieve a robust and real-time control of a myoelectric prosthetic-hand. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 9781538629017 |
| WOS记录号 | WOS:000425862800018 |
| 源URL | [http://ir.sia.cn/handle/173321/20821]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 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 of Automation, Shandong Academy of Sciences, Jinan, 250014, China |
| 推荐引用方式 GB/T 7714 | Han JD,Ding QC,Li ZY,et al. Real-time myoelectric prosthetic-hand control to reject outlier motion interference using one-class classifier[C]. 见:32nd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2017. Hefei, China. May 19-21, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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