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http://dx.doi.org/10.15207/JKCS.2018.9.11.053

Gaze Tracking with Low-cost EOG Measuring Device  

Jang, Seung-Tae (Department of Biomedical Engineering, Tongmyung University)
Lee, Jung-Hwan (Department of Biomedical Engineering, Tongmyung University)
Jang, Jae-Young (Department of Biomedical Engineering, Tongmyung University)
Chang, Won-Du (School of Electronic and Biomedical Engineering, Tongmyung University)
Publication Information
Journal of the Korea Convergence Society / v.9, no.11, 2018 , pp. 53-60 More about this Journal
Abstract
This paper describes the experiments of gaze tracking utilizing a low-cost electrooculogram measuring device. The goal of the experiments is to verify whether the low-cost device can be used for a complicated human-computer interaction tool, such as the eye-writing. Two experiments are conducted for this goal: a simple gaze tracking of four directional eye-movements, and eye-writing-which is to draw letters or shapes in a virtual space. Eye-written alphabets were obtained by two PSL-iEOGs and an Arduino Uno; they were classified by dynamic positional warping after preprocessed by a wavelet function. The results show that the expected recognition accuracy of the four-directional recognition is close to 90% when noises are controlled, and the similar median accuracy (90.00%) was achieved for the eye-writing when the number of writing patterns are limited to five. In future works, additional algorithms for stabilizing the signal need to be developed.
Keywords
Electrooculogram; Eye-Writing; Pattern Recognition; Biosignal; Signal Processing; Dynamic Time Warping;
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Times Cited By KSCI : 4  (Citation Analysis)
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