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Article

Etracker: A Mobile Gaze-Tracking System with Near-Eye Display Based on a Combined Gaze-Tracking Algorithm

by 1,2,3, 3,*, 1 and 3
1
Xi’an Institute of Optics and Precision Mechanics of CAS, Xi’an 710119, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong, China
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1626; https://doi.org/10.3390/s18051626
Received: 30 April 2018 / Revised: 15 May 2018 / Accepted: 15 May 2018 / Published: 19 May 2018
(This article belongs to the Special Issue Biomedical Infrared Imaging: From Sensors to Applications)
Eye tracking technology has become increasingly important for psychological analysis, medical diagnosis, driver assistance systems, and many other applications. Various gaze-tracking models have been established by previous researchers. However, there is currently no near-eye display system with accurate gaze-tracking performance and a convenient user experience. In this paper, we constructed a complete prototype of the mobile gaze-tracking system ‘Etracker’ with a near-eye viewing device for human gaze tracking. We proposed a combined gaze-tracking algorithm. In this algorithm, the convolutional neural network is used to remove blinking images and predict coarse gaze position, and then a geometric model is defined for accurate human gaze tracking. Moreover, we proposed using the mean value of gazes to resolve pupil center changes caused by nystagmus in calibration algorithms, so that an individual user only needs to calibrate it the first time, which makes our system more convenient. The experiments on gaze data from 26 participants show that the eye center detection accuracy is 98% and Etracker can provide an average gaze accuracy of 0.53° at a rate of 30–60 Hz. View Full-Text
Keywords: gaze tracking; infrared camera sensor; near-eye viewing device; CNNs; mobile eye tracker gaze tracking; infrared camera sensor; near-eye viewing device; CNNs; mobile eye tracker
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MDPI and ACS Style

Li, B.; Fu, H.; Wen, D.; LO, W. Etracker: A Mobile Gaze-Tracking System with Near-Eye Display Based on a Combined Gaze-Tracking Algorithm. Sensors 2018, 18, 1626. https://doi.org/10.3390/s18051626

AMA Style

Li B, Fu H, Wen D, LO W. Etracker: A Mobile Gaze-Tracking System with Near-Eye Display Based on a Combined Gaze-Tracking Algorithm. Sensors. 2018; 18(5):1626. https://doi.org/10.3390/s18051626

Chicago/Turabian Style

Li, Bin, Hong Fu, Desheng Wen, and WaiLun LO. 2018. "Etracker: A Mobile Gaze-Tracking System with Near-Eye Display Based on a Combined Gaze-Tracking Algorithm" Sensors 18, no. 5: 1626. https://doi.org/10.3390/s18051626

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