JIA Miao,YANG Zhongliang,CHEN Yumiao.An sEMG-JASA evaluation model for the neck fatigue of subway phubbers[J].CAAI Transactions on Intelligent Systems,2020,15(4):705-713.[doi:10.11992/tis.201810009]





An sEMG-JASA evaluation model for the neck fatigue of subway phubbers
贾淼1 杨钟亮1 陈育苗2
1. 东华大学 机械工程学院,上海 201620;
2. 华东理工大学 艺术设计与传媒学院,上海 200237
JIA Miao1 YANG Zhongliang1 CHEN Yumiao2
1. College of Mechanical Engineering, Donghua University, Shanghai 201620;
2. School of Art Design and Media, East China University of Science and Technology, Shanghai 200237
muscle fatiguesurface electromyographyphubbertime domain indexfrequency domain indexamplitude-frequency joint analysisleading experimentevaluation model
With the development of society, subway phubbers have been seen everywhere on the subway. To analyze the relationship between neck muscle fatigue and bowing time of subway phubbers, this study proposes a neck muscle fatigue evaluation model based on the amplitude–frequency joint analysis method. In the experiment, 10 participants were recruited to collect the surface electromyogram signals of their neck muscles. The fatigue degree of their neck muscles in different time quanta was compared with the fatigue joint analysis model. Results showed that the median frequencies of the trapezius and scalp muscle exhibited a downward trend, whereas the root–mean–square values exhibited an upward trend, indicating that muscle fatigue was obvious. Moreover, the fatigue degree of the neck muscle gradually increased with the increase in bowing time of subway phubbers when using a mobile phone. The experiment validates the effectiveness of the fatigue evaluation model. The model can alert passengers to fatigue, help passengers form good mobile phone usage habits, and provide a basis for the development of an intelligent wear system.


[1] WANG Chuanling, TIAN Fumung, ZHOU Yingjun, et al. The incidence of cervical spondylosis decreases with aging in the elderly, and increases with aging in the young and adult population: a hospital-based clinical analysis[J]. Clinical interventions in aging, 2016, 11: 47-53.
[2] CHOTPITAYASUNONDH V, DOUGLAS K M. How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone[J]. Computers in human behavior, 2016, 63: 9-18.
[3] H?KKINEN A, SALO P, TARVAINEN U, et al. Effect of manual therapy and stretching on neck muscle strength and mobility in chronic neck pain[J]. Journal of rehabilitation medicine, 2007, 39(7): 575-579.
[4] 王健. 面向人因工程研究的sEMG技术应用[C]//第二届中国人因工程高峰论坛, 2017.
WANG Jian. SEMG technology application for human factors engineering research[C]//The Second China Human Factors Engineering Summit Forum, 2017.
[5] FARINA D, FATTORINI L, FELICI F, et al. Nonlinear surface EMG analysis to detect changes of motor unit conduction velocity and synchronization[J]. Journal of applied physiology, 2002, 93(5): 1753-1763.
[6] LIU J Z, SHAN Z Y, ZHANG L D, et al. Human brain activation during sustained and intermittent submaximal fatigue muscle contractions: an FMRI study[J]. Journal of neurophysiology, 2003, 90(1): 300-312.
[7] BILODEAU M, SCHINDLER-IVENS S, WILLIAMS D M, et al. EMG frequency content changes with increasing force and during fatigue in the quadriceps femoris muscle of men and women[J]. Journal of electromyography and kinesiology, 2003, 13(1): 83-92.
[8] NIMBARTE A D, CHOWDHURY S K, CARTWRIGHT E D. Empirical evaluation of neck muscle fatigue generated by healthcare related exertions[J]. Safety science, 2013, 57: 100-107.
[9] NIMBARTE A D, ZREIQAT M M, CHOWDHURY S K. Cervical flexion-relaxation response to neck muscle fatigue in males and females[J]. Journal of electromyography and kinesiology, 2014, 24(6): 965-971.
[10] LUEDTKE K, MAY A. Stratifying migraine patients based on dynamic pain provocation over the upper cervical spine[J]. The journal of headache and pain, 2017, 18(1): 97.
[11] 杨钟亮, 孙守迁, 陈育苗. 基于sEMG的按摩椅绩效人机评价模型实验研究[J]. 中国机械工程, 2012, 23(2): 220-224
YANG Zhongliang, SUN Shouqian, CHEN Yumiao. A pilot study on ergonomics evaluation model of massage chair performance based on sEMG[J]. China mechanical engineering, 2012, 23(2): 220-224
[12] 刘建, 邹任玲, 张东衡, 等. 表面肌电信号特征提取方法研究发展趋势[J]. 生物医学工程学进展, 2015, 36(3): 164-168
LIU Jian, ZOU Renling, ZHANG Dongheng, et al. Research and development trend of feature extraction methods of surface electromyogrphic signals[J]. Progress in biomedical engineering, 2015, 36(3): 164-168
[13] 陈玲玲. 基于支持向量机的下肢肌电信号模式识别的研究[D]. 天津: 河北工业大学, 2006.
CHEN Lingling. Research of electromyography pattern recognition based on support vector machine[D]. Tianjin: Hebei University of Technology, 2006.
[14] 王笃明, 王健, 葛列众. 肌肉疲劳的sEMG时频分析技术及其在工效学中的应用[J]. 航天医学与医学工程, 2003, 16(5): 387-390
WANG Duming, WANG Jian, GE Lizhong. sEMG time-frequency analysis techniques for evaluation of muscle fatigue and it’s application in ergonomic studies[J]. Space medicine & medical engineering, 2003, 16(5): 387-390
[15] LUTTMANN A, S?KELAND J, LAURIG W. Electromyographical study on surgeons in urology. Influence of the operating technique on muscular strain[J]. Ergonomics, 1996, 39(2): 285-297.
[16] JIA Miao, YANG Zhongliang, CHEN Yumiao, et al. Neck muscles fatigue evaluation of subway phubber based on sEMG signals[C]//Proceedings of 11th International Symposium on Computational Intelligence and Design. Hangzhou, China, 2018: 141-144.
[17] YANG Zhongliang, CHEN Yumiao, WANG Jianping, et al. Recognizing the breathing resistances of wearing respirators from respiratory and sEMG signals with artificial neural networks[J]. International journal of industrial ergonomics, 2017, 58: 47-54.
[18] DE LUCA C J. Use of the surface EMG signal for performance evaluation of back muscles[J]. Muscle & nerve, 1993, 16(2): 210-216.
[19] 赵章琰. 表面肌电信号检测和处理中若干关键技术研究[D]. 合肥: 中国科学技术大学, 2010.
ZHAO Zhangyan. Several key technologies in surface electromyography signal detection & processing[D]. Hefei: University of Science and Technology of China, 2010.
[20] 杨钟亮, 王健, 陈育苗. 基于表面肌电的头部运动体态语言情感识别模型[J]. 计算机辅助设计与图形学学报, 2014, 26(9): 1396-1402
YANG Zhongliang, WANG Jian, CHEN Yumiao. Surface EMG based emotion recognition model for body language of head movements[J]. Journal of computer-aided design & computer graphics, 2014, 26(9): 1396-1402


更新日期/Last Update: 2020-07-25