视频侦查员作业疲劳评估

doi:10.16265/j.cnki.issn 1003-3033.2020.10.025

中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (10): 179-185.doi: 10.16265/j.cnki.issn 1003-3033.2020.10.025

视频侦查员作业疲劳评估

许锋副教授

中国刑事警察学院公安信息技术与情报学院,辽宁沈阳 110035

收稿日期:2020-07-27 修回日期:2020-09-14 出版日期:2020-10-28 发布日期:2021-07-15
作者简介:许锋 (1977—),男,山东莱州人,博士,副教授,主要从事声像资料检验、虚拟现场重建、视频现场勘察等方面的研究。E-mail:xufeng_ccpc@hotmail.com。
基金资助:
“十三五”国家重点研发技术项目(2017YFC0821004);公安部技术研究项目(2016JSYJC59);中央高校基本科研业务重点项目(3242019012);公安理论及软科学研究计划(2017LLYJXJXY040)。

Research on work fatigue assessment of video investigators

XU Feng

College of Public Security Information Technology and Information, Criminal Investigation Police University of China, Shenyang Liaoning 110035, China

Received:2020-07-27 Revised:2020-09-14 Online:2020-10-28 Published:2021-07-15

摘要/Abstract

摘要： 为防止视频侦查中长时间、大强度、高难度作业引起作业疲劳,导致分析力和判断力下降,遗漏重要信息,以S市视频侦查员为研究对象,开展主客观作业疲劳评估研究。主观评估方面,在《自觉症状调查表》基础上,考虑视觉疲劳及环境因素的影响;客观评估方面,应用生物力学评价(FAB)和Eegosports脑电仪测量作业人员各工作时间段运动状态及脑电信号,分析其头颈部疲劳状况和脑电(EEG)波中δ波的变化特征。结果表明:自评量表克隆巴赫系数为0.821 7,具有良好的内在一致性;作业人员的疲劳感受平均分达到1.94分,出现明显的作业疲劳;午班和晚班的疲劳程度大于早班,特别是晚班结束时作业人员身体和精神的疲劳状态达到顶峰。

关键词: 视频侦查, 作业疲劳, 客观评估, 动作捕捉, 脑电(EEG)信号

Abstract: In order to prevent decline in analysis and judgment capability and missing of important information caused by fatigue due to long-time, high-intensity and high-maintenance work in video investigation, subjective and objective work fatigue of video scouts in S city was studied. Subjective assessment introduced influence of visual fatigue and environmental factors based on fatigue self-assessment scale. Then, for objective assessment, functional assessment of biomechanics (FAB) and Eegosports electroencephalograph device were used to measure movement state and EEG signals of workers at different working hours, and fatigue state of head and neck and change rules of δ waves in EEG were analyzed. The results show that Cronbach coefficient of the scale is 0.821 7, which has a good internal consistency. Average score of work fatigue is 1.94 points, indicating obvious fatigue. Moreover, fatigue degree of middle and night shifts are relatively more significant, especially at end of night shift when physical and mental fatigue of operators reaches the peak

Key words: video investigation, work fatigue, objective assessment, action capture, electroencephalogram(EEG) signal

中图分类号:

X959
D918

许锋. 视频侦查员作业疲劳评估[J]. 中国安全科学学报, 2020, 30(10): 179-185.

XU Feng. Research on work fatigue assessment of video investigators[J]. China Safety Science Journal, 2020, 30(10): 179-185.

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视频侦查员作业疲劳评估

Research on work fatigue assessment of video investigators

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