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Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors

Li, R; Whitmire, E; Stengel, M; Boudaoud, B; Kautz, J; Luebke, D; Patel, S; (2020) Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors. In: Proceedings - 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2020. (pp. pp. 117-126). IEEE: Recife/Porto de Galinhas, Brazil. Green open access

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Abstract

Gaze tracking is an essential component of next generation displays for virtual reality and augmented reality applications. Traditional camera-based gaze trackers used in next generation displays are known to be lacking in one or multiple of the following metrics: power consumption, cost, computational complexity, estimation accuracy, latency, and form-factor. We propose the use of discrete photodiodes and light-emitting diodes (LEDs) as an alternative to traditional camera-based gaze tracking approaches while taking all of these metrics into consideration. We begin by developing a rendering-based simulation framework for understanding the relationship between light sources and a virtual model eyeball. Findings from this framework are used for the placement of LEDs and photodiodes. Our first prototype uses a neural network to obtain an average error rate of 2.67∘ at 400 Hz while demanding only 16 mW. By simplifying the implementation to using only LEDs, duplexed as light transceivers, and more minimal machine learning model, namely a light-weight supervised Gaussian process regression algorithm, we show that our second prototype is capable of an average error rate of 1.57∘ at 250 Hz using 800 mW.

Type: Proceedings paper
Title: Optical Gaze Tracking with Spatially-Sparse Single-Pixel Detectors
Event: 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
ISBN-13: 9781728185088
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISMAR50242.2020.00033
Publisher version: https://doi.org/10.1109/ISMAR50242.2020.00033
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Human-centered computing—Ubiquitous and mobile computing—Ubiquitous and mobile devices——Computer systems organization—Embedded and cyber-physical systems— Sensors and actuators
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
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
URI: https://discovery.ucl.ac.uk/id/eprint/10120993
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