[1]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]
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An sEMG-JASA evaluation model for the neck fatigue of subway phubbers

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 15 Number of periods: 2020 4 Page number: 705-713 Column: 学术论文—机器学习 Public date: 2020-07-05
Title:
An sEMG-JASA evaluation model for the neck fatigue of subway phubbers
Author(s):
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
Keywords:
muscle fatigue; surface electromyography; phubber; time domain index; frequency domain index; amplitude-frequency joint analysis; leading experiment; evaluation model
CLC:
TP391
DOI:
10.11992/tis.201810009
Abstract:
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.
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