ACM Other Conferences

Murthy, LRD and Mukhopadhyay, A and Biswas, P (2022) ACM Other Conferences. In: 27th International Conference on Intelligent User Interfaces, IUI 2022, 25 March 2022, Virtual, Online, pp. 38-41.

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Abstract

Distraction detection systems in automotive has great importance due to the prime safety of passengers. Earlier approaches confined to use indirect methods of driving performance metrics to detect visual distraction. Recent methods attempted to develop dedicated classification models for gaze zone estimation whose cross-domain performance was not investigated. We adopt a more generic appearance-based gaze estimation approach where no assumption on setting or participant was made. We proposed MAGE-Net with less number of parameters while achieving on par performance with state of the art techniques on MPIIGaze dataset. We utilized the proposed MAGE-Net and performed a cross-domain evaluation in automotive setting with 10 participants. We observed that the gaze region error using MAGE-Net for interior regions of car is 15.61 cm and 15.13 cm in x and y directions respectively. We utilized these results and demonstrated the capability of proposed system to detect visual distraction using a driving simulator. © 2022 Owner/Author.

Item Type:	Conference Proceedings
Publication:	International Conference on Intelligent User Interfaces, Proceedings IUI
Publisher:	Association for Computing Machinery
Additional Information:	The copyright for this article belongs to Association for Computing Machinery
Keywords:	Eye tracking, Automotives; Distraction detection; Driver distractions; Estimation models; Evaluation of eye gaze tracking; Eye gaze tracking; Gaze estimation; Gaze estimation model; Performance; Visual distractions, Automobile drivers
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	17 May 2022 10:50
Last Modified:	17 May 2022 10:50
URI:	https://eprints.iisc.ac.in/id/eprint/71782

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