EyeCue detects driver cognitive distraction by modeling gaze-visual context interactions in egocentric videos and achieves 74.38% accuracy on the new CogDrive dataset, outperforming 11 baselines.
Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
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Introduces temporally decoupled 'Point and Select' interaction for in-vehicle POI selection and reports simulator results showing reduced cognitive workload with preserved driving performance.
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EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding
EyeCue detects driver cognitive distraction by modeling gaze-visual context interactions in egocentric videos and achieves 74.38% accuracy on the new CogDrive dataset, outperforming 11 baselines.
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Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object
Introduces temporally decoupled 'Point and Select' interaction for in-vehicle POI selection and reports simulator results showing reduced cognitive workload with preserved driving performance.