Abstract
Field sobriety tests and breathalyzers are commonly used to prevent alcohol-impaired driving, but are expensive and time-consuming to administer. We propose a set of sobriety tests which, in contrast, can feasibly be automated and deployed to modern vehicles equipped with a driver monitoring camera. Our tests are inspired by research on the physiological effects of alcohol, with particular focus on eye movements and gaze behavior. We run an exploratory in-lab study with N=51 subjects (20 alcohol-impaired, 31 control), and train a variety of models to detect alcohol impairment. We find that, using only 10 seconds of observations of the driver, one of the four proposed tests performs comparably to existing non-breathalyzer field sobriety tests.
Supplementary Video
Related work
Below are some links to related projects which helped to inspire ours:
Citation
Please cite the paper as follows: