Abstract
In the paper we present comparison and analysis of the selected eye pointing methods and applications. Eye pointing enables communication with the computer system using human eye movements tracking. We analyze not only available eyetracking solutions but also those developed at our laboratory (i.e. ljo_gazetracker) are using specialized gazetracking devices. Those solutions were compared by means of series of experiments carried out with a group of users. These experiments showed that Dasher is the most effective gaze-writing application, and that ljo_gazetracker is the most precise eye pointing system. However, it needs application of quite sophisticated and pretty expensive technology. Thus Opengazer seems to be a good freeware alternative.
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Chynał, P., Sobecki, J. (2010). Comparison and Analysis of the Eye Pointing Methods and Applications. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_4
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DOI: https://doi.org/10.1007/978-3-642-16693-8_4
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