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|Title:||Robust Eye-Based Dwell-Free Typing||Authors:||Liu, Yi
McKeown, Martin J.
|Issue Date:||2016||Source:||Liu, Y., Lee, B.-S., & McKeown, M. J. (2016). Robust Eye-Based Dwell-Free Typing. International Journal of Human-Computer Interaction, 32(9), 682-694.||Series/Report no.:||International Journal of Human-Computer Interaction||Abstract:||For a subset of physically challenged people, assistive technologies, such as alternative form of text entry, can be of tremendous benefit. However, speed of text entry with current methods limits their more widespread adoption. Eye gaze technologies have potential for text entry, but still tend to be relatively slow. Recently dwell-free eye-typing systems have been proposed, but can be vulnerable to common text entry problems, such as selection of the wrong letters. In this article, a recognition approach for inferring the words which the user intends to type is proposed. The method is robust to missing letters and even when a neighboring letter on the keyboard is incorrectly selected. Simulation and experiment results suggest that our proposed approach has better accuracy and more resilience to common text entry errors than other currently proposed dwell-free systems.||URI:||https://hdl.handle.net/10356/83395
|ISSN:||1044-7318||DOI:||10.1080/10447318.2016.1186307||Rights:||© 2016 Taylor & Francis. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Human-Computer Interaction, Taylor & Francis. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/10447318.2016.1186307].||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||IGS Journal Articles|
SCSE Journal Articles
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