The detection of drowsiness using a driver monitoring system.

Conclusions: Blinks and saccades have been shown to be predictive of microsleeps; however, it may be that detection of microsleeps and lane departures occurs too late. Therefore, it is encouraging that the model was able to distinguish mild from moderate drowsy driving. The use of automation may make vehicle-based signals useless for characterizing driver states, providing further motivation for a DMS. Future improvements in impairment detection systems may be expected through a combination of improved hardware, physiological measures from unobtrusive sensors and wearables, and the intelligent integration of environmental variables like time of day and time on task. PMID: 31381433 [PubMed - in process]
Source: Traffic Injury Prevention - Category: Accident Prevention Authors: Tags: Traffic Inj Prev Source Type: research