|本期目录/Table of Contents|

[1]吴雪琴,廖斌.基于疲劳模式识别的VDT作业工间休息机制*[J].中国安全生产科学技术,2021,17(3):169-174.[doi:10.11731/j.issn.1673-193x.2021.03.026]
　WU Xueqin,LIAO Bin.Break mechanism of VDT continuous operation based on fatigue pattern recognition[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(3):169-174.[doi:10.11731/j.issn.1673-193x.2021.03.026]
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基于疲劳模式识别的VDT作业工间休息机制*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
17
期数:
2021年3期
页码:
169-174
栏目:
职业安全卫生管理与技术
出版日期:
2021-03-31

文章信息/Info

Title:
Break mechanism of VDT continuous operation based on fatigue pattern recognition
文章编号:
1673-193X(2021)-03-0169-06
作者:
吴雪琴; 廖斌
（1.电子科技大学 成都学院 计算机系，四川 成都 611731;
2.四川师范大学 商学院，四川 成都 610101）
Author(s):
WU Xueqin;  LIAO Bin
(1.Computer Department,Chengdu College of University of Electronic Science and Technology,Chengdu Sichuan 611731,China;
2.School of Business,Sichuan Normal University,Chengdu Sichuan 610101,China)
关键词:
BP神经网络; 模式识别; VDT持续作业; 疲劳; 工间休息
Keywords:
BP neural network;  pattern recognition;  VDT Continuous operation;  fatigue;  break
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2021.03.026
文献标志码:
A
摘要:
为保障作业人员身心健康和作业效率，运用E-Prime软件模拟认知性VDT持续作业，通过方差分析提出作业疲劳综合评价指标体系，并使用客观绩效指标和生理指标作为输入变量，主观疲劳综合指数作为输出变量，训练BP神经网络，对作业疲劳进行模式识别；提出认知性VDT持续作业工间休息机制。结果表明：通过正确反应时间、注视时间、瞳孔直径、眨眼频率4项指标，对VDT持续作业疲劳进行模式识别的结果可信度较高。因此，基于上述4项指标提出的工间休息机制客观有效。
Abstract:
In order to ensure the physical and mental health and work efficiency of the employees of the cognitive visual display terminal (VDT),the break mechanism was studied.The EPrime software was used to design the experiments to simulate the cognitive VDT continuous operation,and a comprehensive evaluation index system was proposed for the work fatigue through the analysis of variance.The objective performance indexes and physiological indexes were taken as the input variables,and the subjective fatigue comprehensive index was taken as the output variable.Then the BP neural network was trained,and the pattern recognition on work fatigue was conducted.The break mechanism of cognitive VDT continuous operation was proposed based on the pattern recognition results.The results showed that the results of pattern recognition on the work fatigue of VDT continuous operation were reliable through four indexes of correct reaction time,fixation time,pupil diameter and blink frequency,and the proposed break mechanism was objective and effective.

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备注/Memo

备注/Memo:
收稿日期： 2020-08-27
* 基金项目： 教育部人文社会科学研究规划基金项目（19YJAZH051）；四川省软科学研究计划项目（2020JDR0267）
作者简介： 吴雪琴，硕士，副教授，主要研究方向为软件技术、嵌入式技术、智能计算。
通信作者： 廖斌，硕士，副教授，主要研究方向为人机交互作业绩效及可靠性。
更新日期/Last Update: 2021-04-13