Fatigue Status Detection Method of Electric Power Workers Based on Multiple Physiological Signals-Reference-Cited by-同舟云学术

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Fatigue Status Detection Method of Electric Power Workers Based on Multiple Physiological Signals

Published:2023-12-15 Issue: Volume:44 Page:57-61
ISSN:
Container-title:2023 4th International Conference on Information Science and Education (ICISE-IE)
language:
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Author:

Xi Yang¹,Wang Wenjing¹,Meng Siyu²,Zhang Zihao¹,Wu Zhenyu³,Fu Jia²

Affiliation:

1. School of Computer Science Northeast Electric Power University Jilin,P.R. China,132012

2. Yongji Power Supply Company State Grid Jilin Electric Power Co., Ltd Jilin,P.R. China,132012

3. Department of Orthopedics of Affiliated Hospital of Beihua University Jilin,P.R. China,132012

Funder

Jilin Scientific and Technological Development Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10456367/10456374/10456433.pdf?arnumber=10456433

Reference16 articles.

1. Eye gaze pattern analysis for fatigue detection based on GP-BCNN with ESM

2. Detecting driver mental fatigue based on EEG alpha power changes during simulated driving[J];GHARAGOZLOU;Iranian Journal of Public Health,2015

3. Wolphaw, etal.Brain-computer interface research at the wadsworth center [J];Jonathan,2000

4. Brain-computer interface:a new way for the brain to exchange in-formation externally[J];Baikun;Foreign Medical Biobook,2005

5. Design and implementation of a brain-computer interface with high transfer rates

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