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2020 | OriginalPaper | Chapter

Study on Fatigue Detection Method of Ship Operator Based on Face Recognition Technology

Authors : Jian Zhang, Jun Peng, Xiaoxi Han, Shenghang Xu, Chuan Wang

Published in: Man-Machine-Environment System Engineering

Publisher: Springer Singapore

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Abstract

Aiming at the problem of human error caused by the fatigue operation of ship operators, this paper proposes a method for fatigue detection of ship operators. The AdaBoost algorithm is used to detect the face of the ship operator, locate and analyze the eyes and mouth in the detected face area, and judge the fatigue state by information fusion in the decision-making stage. The results show that the method can accurately detect the state of eyes and mouth and effectively detect whether the ship operator is in the state of fatigue operation.

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Metadata
Title
Study on Fatigue Detection Method of Ship Operator Based on Face Recognition Technology
Authors
Jian Zhang
Jun Peng
Xiaoxi Han
Shenghang Xu
Chuan Wang
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6978-4_26