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Real-time head-based deep-learning model for gaze probability regions in collaborative VR

Bovo, Riccardo; Giunchi, Daniele; Sidenmark, Ludwig; Costanza, Enrico; Hans, Gellersen; Heinis, Thomas; (2022) Real-time head-based deep-learning model for gaze probability regions in collaborative VR. In: Proceedings of the ETRA '22: 2022 Symposium on Eye Tracking Research and Applications. (pp. pp. 1-8). ACM Green open access

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Abstract

Eye behavior has gained much interest in the VR research community as an interactive input and support for collaboration. Researchers used head behavior and saliency to implement gaze inference models when eye-tracking is missing. However, these solutions are resource-demanding and thus unfit for untethered devices, and their angle accuracy is around 7°, which can be a problem in high-density informative areas. To address this issue, we propose a lightweight deep learning model that generates the probability density function of the gaze as a percentile contour. This solution allows us to introduce a visual attention representation based on a region rather than a point. In this way, we manage the trade-off between the ambiguity of a region and the error of a point. We tested our model in untethered devices with real-time performances; we evaluated its accuracy, outperforming our identified baselines (average fixation map and head direction).

Type: Proceedings paper
Title: Real-time head-based deep-learning model for gaze probability regions in collaborative VR
Event: ETRA '22: 2022 Symposium on Eye Tracking Research and Applications
Location: Seattle, WA, USA
Dates: 8th-11th June 2022
ISBN-13: 9781450392525
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3517031.3529642
Publisher version: https://doi.org/10.1145/3517031.3529642
Language: English
Additional information: neural networks, gaze prediction, gaze inference, visual attention
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10157143
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