[1]贾淼,杨钟亮,陈育苗.面向地铁低头族的颈部疲劳sEMG-JASA评价模型[J].智能系统学报,2020,15(4):705-713.[doi:10.11992/tis.201810009]
 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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面向地铁低头族的颈部疲劳sEMG-JASA评价模型(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第15卷
期数:
2020年4期
页码:
705-713
栏目:
学术论文—机器学习
出版日期:
2020-10-30

文章信息/Info

Title:
An sEMG-JASA evaluation model for the neck fatigue of subway phubbers
作者:
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
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
关键词:
肌肉疲劳表面肌电低头族时域指标频域指标幅频联合分析前导实验评价模型
Keywords:
muscle fatiguesurface electromyographyphubbertime domain indexfrequency domain indexamplitude-frequency joint analysisleading experimentevaluation model
分类号:
TP391
DOI:
10.11992/tis.201810009
摘要:
随着社会的发展地铁低头族已经在地铁上随处可见,为研究地铁低头族颈部肌肉疲劳与低头时间的变化关系,本文基于幅频联合分析法提出颈部肌肉疲劳评价模型。实验中共招募10名参试人员分别采集其颈部肌肉的表面肌电信号,利用疲劳联合分析模型对不同时间段内颈部肌肉的疲劳程度做出比较。实验结果显示,斜方肌和头夹肌的通道中中位频率值处于下降趋势,而均方根值处于上升趋势,说明肌肉产生疲劳并随着低头使用手机时间的增加颈部肌肉疲劳程度逐渐增加。该实验验证了疲劳评价模型的有效性,模型可对乘客发出疲劳提醒,帮助乘客形成良好的行为习惯,为开发智能穿戴系统提供依据。
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-10-11。
基金项目:国家自然科学基金项目(51305077);中央高校基本科研专项基金项目(2232018D3-27);浙江省健康智能厨房系统集成重点实验室开放基金项目(2014E10014);2017东华大学研究生核心课程建设项目(201711);上海设计学IV类高峰学科资助项目(DC17013)
作者简介:贾淼,硕士研究生,主要研究方向为人机工程、人工智能设计。发表学术论文3篇;杨钟亮,副教授,博士,主要研究方向为智能交互系统、人机工程、人工智能设计。主持国家自然科学基金项目1项,发表学术论文30余篇;陈育苗,讲师,博士,主要研究方向为人机交互、可穿戴产品设计。发表学术论文20余篇
通讯作者:杨钟亮.E-mail:yzl@dhu.edu.cn
更新日期/Last Update: 2020-07-25