As driver monitoring systems become more advanced and capable, detecting shifts in a driver’s physiological, cognitive, and mental state is a promising path to enhance driver support and safety. This talk will explore the latest research on identifying highly sensitive and context-relevant biomarkers that reflect fatigue, distraction, and impairment, and discuss how advances in sensing and analytics can support accurate, real-time detection of driver states.

In this session, you will learn:

• What biomarkers offer the most sensitive and reliable indicators of a driver’s physiological, cognitive, and mental state?
• How can physiological and behavioral data streams be fused for robust real-time driver state assessment?
• Which sensing technologies and AI approaches are pushing the boundaries of driver monitoring?
• What ethical and practical challenges emerge when capturing highly sensitive in-cabin data?