A Novel Feature Reduction Method for Real-Time EMG Pattern Recognition System
文献类型：会议论文
| 作者 | Yang, Peipei1 ; Xing, Kexin2; Huang, Jian3; Wang, Yongji3
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| 出版日期 | 2013-05 |
| 会议日期 | 2013-5-25 |
| 会议地点 | Guiyang, China |
| 关键词 | Emg Real-time Pattern Recognition Wavelet Packet Non-parametric Weighted Feature Extraction Svm |
| DOI | 10.1109/CCDC.2013.6561165 |
| 英文摘要 | This paper proposes a novel feature reduction approach for real-time electromyogram (EMG) pattern recognition. This study extracts time and frequency information by wavelet packet transform (WPT) coefficients and uses the node energy as the feature to overcome the translation-invariant property of WPT. Then the non-parametric discriminant analysis (NDA) is used for feature reduction. Because of some inherent properties of the packet node energy, the within-class scatter matrix is usually singular in this approach, which makes feature project unavailable. To solve this problem, a recursive algorithm is proposed to discard some feature components that lead to singularity and contain relatively less discriminant information. Finally, the support vector machine (SVM) is used as the classifier and gives the recognition result. The corresponding pattern of the action could be recognized in a millisecond (ms). The experimental results show that the proposed method has strong robustness and good real-time performance. |
| 会议录 | 2013 25th Chinese Control and Decision Conference (CCDC)
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12502]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 通讯作者 | Yang, Peipei |
| 作者单位 | 1.Institute of Automation, Chinese Academy of Science 2.College of Information Engineering, Zhejiang University of Technology 3.Huazhong University of Science and Technology |
| 推荐引用方式 GB/T 7714 | Yang, Peipei,Xing, Kexin,Huang, Jian,et al. A Novel Feature Reduction Method for Real-Time EMG Pattern Recognition System[C]. 见:. Guiyang, China. 2013-5-25. |
入库方式： OAI收割
来源：自动化研究所
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