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Design and Evaluation of an In-Vehicle Real-Time Drunk Driving Detection System (DRIVE)

NCT05796609 NA COMPLETED

To analyze driving behavior of individuals under the influence of alcohol while driving in a real car. Based on the in-vehicle variables, the investigators aim at establishing algorithms capable of discriminating sober and drunk driving using machine learning.

Details

Lead sponsorUniversity of Bern
PhaseNA
StatusCOMPLETED
Enrolment55
Start dateWed Apr 05 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
CompletionTue Aug 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)

Conditions

Interventions

Countries

Switzerland