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Applying Information Theory Divergence to Unsupervised Clustering of Driving Gaze Distribution

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Published online on

Abstract

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 69, Issue 1, Page 1151-1156, September 2025.
Tracking driver’s gaze is an integral part of driving monitoring systems, designed to assess the driver’s state. In this work, we report a novel method that creates a ‘vocabulary’ of driver’s gaze patterns during naturalistic driving, across a variety of ...