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

doi:10.1007/s00779-020-01397-0

	Dual layer transfer learning for sEMG-based user-independent gesture recognition
	Zhang, Yingwei 1,2; Chen, Yiqiang 1,2,3; Yu, Hanchao 1; Yang, Xiaodong 1,2; Lu, Wang 1,2
	2020-04-05
发表期刊	PERSONAL AND UBIQUITOUS COMPUTING
ISSN	1617-4909
页码	12
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.
关键词	Gesture recognition Surface electro-myography User-independent Transfer learning Dual layer
DOI	10.1007/s00779-020-01397-0
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000523580600001
出版者	SPRINGER LONDON LTD
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14113
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.