  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.
