Facial Fatigue Detection Based on Machine Learning

  • Dewei ZhengEmail author
  • Shaohua Cui
  • Chenglin Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)


One of the most important reasons for productivity decline and accidents is work fatigue. Work fatigue research has become more and more important in modern society. This paper proposes a method to detect fatigue, Build new features, propose new compensation methods, and combine the existing models to make the method adapt to the complex environment. As a result, it effectively improves the work fatigue detection efficiency and accuracy under the production environment.


Work fatigue detection Features Compensation method 



This project is supported by the Project of Intelligent Manufacturing Integrated Standardization and New Model Application.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Key Laboratory of Universal Wireless CommunicationsMOE Beijing University of Posts and TelecommunicationsBeijingChina
  2. 2.China Petroleum Technology & Development CorporationBeijingChina

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