Video-Based Vigilance Detection

Project Justification

Fatigue Driving in a major cause of accidents. Accordingly, the aim of the BMBF-funded project VIVID was to identify different states of vigilance by a contact less and robust Driver Monitoring System (DMS).

View of the technical devices used to collect physiological data during the test drives in the front and rear areas of the test vehicle

Our Approach

60 Participants were conducting a driving simulator study. We applied a setting with fatigue inducing long time since sleep, time-on-task and time-of-day factors. EEG was measured as well as other physiological and audiovisual recording.

Assessment of the vigilance state using various psychophysiological measures in the laboratory

Work Package, Insights and Outcomes

Ixp was responsible for analyzing and evaluating video-based features of eye movements, heart rate, facial expressions, and head movements as well as audio-based features such as voice quality, precision of articulation, speech rate, and prosody. Additionally, ixp conducted a user experience assessment. Vigilance states were predicted correctly in most cases (91%) using EEG data.

Assessment of the vigilance state using various psychophysiological measures in the laboratory

Interview with Prof. Dr Jarek Krajewski about the research project VIVID

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