Design And Evaluation Of Facial Anger And Fatigue Detection Of Malaysian Drivers
A statistical research by Malaysian Institute of Road Safety and Research (MIROS) claims that accident on Malaysian roads are mostly caused by driver fatigue and anger. However, existing driver assistance tool are mostly based on lane keeping or steering pattern monitoring. There is no availability...
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| Format: | Thesis |
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2019
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| Summary: | A statistical research by Malaysian Institute of Road Safety and Research (MIROS) claims that accident on Malaysian roads are mostly caused by driver fatigue and anger. However, existing driver assistance tool are mostly based on lane keeping or steering pattern monitoring. There is no availability of non-intrusive face recognition approach that detects driver fatigue and anger simultaneously. Thus, a face recognition framework which comprises of fatigue and anger detection has been proposed. The framework design caters the frontend which comprises of the hardware integration and backend of the detections that is on the feature extraction techniques. Based on the proposed face recognition framework, a driver assistance system known as Real Time Driver Attentive Tool (RTDAT) that detect fatigue and anger simultaneously in real time is developed. Besides that, dataset such as YawDD and Cohn Kanade is used for feature extraction. Feature extraction is done based on the facial details as provided by the driver using face landmark detection. For fatigue detection, yawn and eye closure is monitored whereas for anger detection, the facial expression is monitored simultaneously. |
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