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A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection

Published 13 Mar 2023 in cs.CV | (2303.12727v1)

Abstract: As fatigue is normally revealed in the eyes and mouth of a person's face, this paper tried to construct a XGBoost Algorithm-Based fatigue recognition model using the two indicators, EAR (Eye Aspect Ratio) and MAR(Mouth Aspect Ratio). With an accuracy rate of 87.37% and sensitivity rate of 89.14%, the model was proved to be efficient and valid for further applications.

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Authors (2)

  1. Xinrui Chen 
  2. Bingquan Zhang 

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