A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection
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OA: closed
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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- last seen: 2026-05-19T01:45:01.086888+00:00