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Emotion Analytics for Advanced Driver Monitoring System

Tata Elxsi Ltd-Sivaprasad Nandyala, Gayathri K, Chandra Bhushan, Varaprasad Gandi, Mithun Manalikandy
Published 2019-01-09 by SAE International in United States
From the recent advances in Driver Monitoring Systems (DMS) from automotive domain, research on Human Computer Interaction (HCI) based on emotion analytics has gained good interest from the research circles. Distraction and drowsiness will be causing more percentage of traffic accidents, but with the use of advanced DMS technology, we can significantly reduce these distractions and can make the driving a safer activity. Our proposed solution/approach with disguised emotion detection with analytics is enabled by machine learning and image processing algorithms to ensure that the detection of drowsiness or distraction is very accurate. The proposed method will inform the HMI system to provide an alert to wake up the driver if he or she is in drowsy state or take the proactive/necessary actions with the help of active safety systems. Emotion analytics is a technique which is used to analyze the emotion of an individual. It is used to recognize the change in the emotion. Deep Learning is used for the implementation of computer vision techniques which is implemented with the help of Convolutional Neural…
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