A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition

doi:10.3390/s23218758

PSYCH OpenIR

	A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition
	Zhang, Jianhang 1,2,3; Huang, Shucheng 1; Li, Jingting 2,3,4; Wang, Yan 2,3,4; Dong, Zizhao 2,3,4; Wang, Su-Jing 2,3,4
通讯作者	Wang, Su-Jing(wangsujing@psych.ac.cn)
摘要	This paper proposes a portable wireless transmission system for the multi-channel acquisition of surface electromyography (EMG) signals. Because EMG signals have great application value in psychotherapy and human-computer interaction, this system is designed to acquire reliable, real-time facial-muscle-movement signals. Electrodes placed on the surface of a facial-muscle source can inhibit facial-muscle movement due to weight, size, etc., and we propose to solve this problem by placing the electrodes at the periphery of the face to acquire the signals. The multi-channel approach allows this system to detect muscle activity in 16 regions simultaneously. Wireless transmission (Wi-Fi) technology is employed to increase the flexibility of portable applications. The sampling rate is 1 KHz and the resolution is 24 bit. To verify the reliability and practicality of this system, we carried out a comparison with a commercial device and achieved a correlation coefficient of more than 70% on the comparison metrics. Next, to test the system's utility, we placed 16 electrodes around the face for the recognition of five facial movements. Three classifiers, random forest, support vector machine (SVM) and backpropagation neural network (BPNN), were used for the recognition of the five facial movements, in which random forest proved to be practical by achieving a classification accuracy of 91.79%. It is also demonstrated that electrodes placed around the face can still achieve good recognition of facial movements, making the landing of wearable EMG signal-acquisition devices more feasible.
关键词	facial-muscle movement electromyography support vector machine random forest backpropagation neural network
	2023-11-01
语种	英语
DOI	10.3390/s23218758
发表期刊	SENSORS
卷号	23 期号:21 页码:19
收录类别	SCI
资助项目	National Natural Science Foundation of China[62276118] ; National Natural Science Foundation of China[61772244] ; National Natural Science Foundation of China[U19B2032] ; National Natural Science Foundation of China[62106256] ; National Natural Science Foundation of China[62276252]
出版者	MDPI
WOS关键词	EMOTION RECOGNITION
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:001100502400001
资助机构	National Natural Science Foundation of China
引用统计
文献类型	期刊论文
条目标识符	http://ir.psych.ac.cn/handle/311026/46515
通讯作者	Wang, Su-Jing
作者单位	1.Jiangsu Univ Sci & Technol, Sch Comp Sci, Zhenjiang 212003, Peoples R China 2.Univ Chinese Acad Sci, Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Dept Psychol, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jianhang,Huang, Shucheng,Li, Jingting,et al. A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition[J]. SENSORS,2023,23(21):19.
APA	Zhang, Jianhang,Huang, Shucheng,Li, Jingting,Wang, Yan,Dong, Zizhao,&Wang, Su-Jing.(2023).A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition.SENSORS,23(21),19.
MLA	Zhang, Jianhang,et al."A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition".SENSORS 23.21(2023):19.