Case Study: Modes of experience – shifting driver's / occupant's emotional state

Dr Asaf Degani

Technical Fellow, General Motors Advanced Technology Center

Vision-based AI for drowsiness detection – a high-risk approach to a solved problem.

– Risks and challenges for Vision-based AI approach for drowsiness detection

– An alternative approach based on a physiological biomarker for drowsiness using eyelid movements

– Incorporation into all vision-based driver monitoring systems

– Role of neurological biomarkers