Abstract
This paper introduces a Real Time Eye Movement Identification (REMI) protocol designed to address challenges related to the implementation of the eye-gaze guided computer interfaces. The REMI protocol provides the framework for 1) eye position data processing such as noise removal, smoothing, prediction and handling of invalid positional samples 2) real time eye movement identification into the basic eye movement types 3) mapping of the classified eye movement data to interface actions such as object selection. © 2010 Copyright is held by the author/owner(s).
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CITATION STYLE
Koh, D. H., Munikrishne Gowda, S., & Komogortsev, O. V. (2010). Real time eye movement identification protocol. In Conference on Human Factors in Computing Systems - Proceedings (pp. 3499–3504). Association for Computing Machinery (ACM). https://doi.org/10.1145/1753846.1754008
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