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Dual layer transfer learning for sEMG-based user-independent gesture recognition

文献类型：期刊论文

作者Zhang, Yingwei1,2; Chen, Yiqiang1,2,3; Yu, Hanchao1; Yang, Xiaodong1,2; Lu, Wang1,2
刊名PERSONAL AND UBIQUITOUS COMPUTING
出版日期2020-04-05
页码12
关键词Gesture recognition Surface electro-myography User-independent Transfer learning Dual layer
ISSN号1617-4909
DOI10.1007/s00779-020-01397-0
英文摘要During the last few years, significant attention has been paid to surface electromyographic (sEMG) signal-based gesture recognition. Nevertheless, sEMG signal is sensitive to various user-dependent factors, like skin impedance and muscle strength, which causes the existing gesture recognition models not suitable for new users and huge precision dropping. Therefore, we propose a dual layer transfer learning framework, named dualTL, to realize user-independent gesture recognition based on sEMG signal. DualTL is composed of two layers. The first layer of dualTL leverages the correlations of sEMG signal among different users to label partial gestures with high confidence from new users. Then, according to the consistencies of sEMG signal from the same users, the rest gestures are labeled in the second layer. We compare our method with three universal machine learning methods, seven representative transfer learning methods, and two deep learning-based sEMG gesture recognition methods. Experimental results show that the average recognition accuracy of dualTL is 80.17%. Comparing with SMO, KNN, RF, PCA, TCA, STL, and CWT, the performance improves 24.26% approximately.
资助项目National Key Research and Development Plan of China[2017YFB1002801] ; Natural Science Foundation of China[61502456] ; Natural Science Foundation of China[61972383] ; R&D Plan in Key Field of Guangdong Province[2019B010109001] ; Alibaba Group through Alibaba Innovative Research (AIR) Program
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000523580600001
出版者SPRINGER LONDON LTD
源URL[http://119.78.100.204/handle/2XEOYT63/14112]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Yiqiang
作者单位1.Chinese Acad Sci, Beijing Key Lab Mobile Comp & Pervas Device, Inst Comp Technol, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Pengcheng Lab, Shenzhen, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Yingwei,Chen, Yiqiang,Yu, Hanchao,et al. Dual layer transfer learning for sEMG-based user-independent gesture recognition[J]. PERSONAL AND UBIQUITOUS COMPUTING,2020:12.
APA Zhang, Yingwei,Chen, Yiqiang,Yu, Hanchao,Yang, Xiaodong,&Lu, Wang.(2020).Dual layer transfer learning for sEMG-based user-independent gesture recognition.PERSONAL AND UBIQUITOUS COMPUTING,12.
MLA Zhang, Yingwei,et al."Dual layer transfer learning for sEMG-based user-independent gesture recognition".PERSONAL AND UBIQUITOUS COMPUTING (2020):12.

入库方式： OAI收割

来源：计算技术研究所

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