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"A Semantic Hybrid Temporal Approach for Detecting Driver Mental Fatigu" by Shahzeb Ansari, Haiping Du et al.

Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological or in-vehicle measurement methods. However, the literature lacks the implementation of hybrid approaches that combine the strength of individual approaches to develop a robust fatigue detection system. In this regard, a hybrid temporal approach is proposed in t...
Driver Mental Fatigue Driver Safety Atigue Posture Patterns Ully Adaptive Sax Ybrid Detection System Emantic Learning
Source: uow.edu.au

"Automatic driver cognitive fatigue detection based on upper body postu" by Shahzeb Ansari, Haiping Du et al.

Driver cognitive fatigue can significantly affect driving and may lead to fatal accidents. In this regard, automatic detection of underload driver cognitive fatigue based on upper body posture dynamics is studied in this paper, where a semi-supervised approach is developed to identify the cognitive fatigue patterns of driver posture. Initially, an unsupervised Gaussian Mixture Model (GMM) clustering is applied to the acceleration data representing the driver's head, neck, and sternum obtain...
Gaussian Mixture Model Gaussian Support Vector Machines Ensemble Classifiers Ognitive Driver Fatigue River Posture Atigue Posture Patterns
Source: uow.edu.au

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