Driver State Monitoring (DMS)

Sensing systems that infer a driver's state in real time, plus how those systems are validated and regulated.

What's here. Detection technology and its evaluation: drowsiness detection algorithms, distraction detection algorithms, gaze based attention detection, and alcohol detection systems (in-vehicle sensing hardware and interlocks). Also dms validation, meaning benchmarking a monitor against reference measures, and dms regulation covering type-approval, rating, and mandate requirements.

What isn't here.

• drowsiness, microsleep, sleep deprivation, and vigilance as driver states, the phenomena a detector is trying to catch — Fatigue & Alertness. This shelf holds the detectors and their evaluation. Sleep deprivation, time on task, circadian factors, and shift work driving are under Fatigue & Alertness.
• what distraction is and how it degrades driving: visual, manual, cognitive, and mind wandering — Driver Distraction. distraction detection algorithms here means the classifier and its sensor inputs. Distraction taxonomies, sources, and performance effects are under Driver Distraction.
• driver engagement with automation: hands on/hands off engagement, takeover transitions, trust calibration — Vehicle Automation & ADAS. dms validation asks whether a monitor measures state accurately. Work on whether drivers stay engaged with, or appropriately trust, an automated system is under Vehicle Automation & ADAS, an area sibling.