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Research on the fatigue detection method of operators in digital main control rooms of nuclear power plants based on multi-feature fusion

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成果类型:
会议论文
作者:
Guangyu Liu;Jie Liu;Licao Dai
作者机构:
[Licao Dai] Human Factor Institute, University of South China, Hengyang, China
[Guangyu Liu; Jie Liu] School of Computer, University of South China, Hengyang, China
语种:
英文
关键词:
Operators in the digital main control rooms of nuclear power plants;Fatigue detection;Multi-feature Fusion;Machine Learning
年:
2023
页码:
1459-1463
会议名称:
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
会议论文集名称:
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
会议时间:
24 February 2023
会议地点:
Changchun, China
出版者:
IEEE
ISBN:
978-1-6654-6254-9
机构署名:
本校为第一机构
院系归属:
管理学院
摘要:
Timely waking up the operators in the digital main control rooms of nuclear power plants from fatigue can effectively prevent accidents in nuclear power plants. During the operator's work, real -time evaluation of the fatigue state of operators is very important. Because the operators needs to constantly receive and process information from the computer screen through their eyes, it is easy to make their eyes tired and causes mental fatigue to the operators, so we propose to conduct fatigue detection for the operators. By focusing on the state of eyes, combined with the state of mouth and head...

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