Abstract
We have developed an eye-gaze input system for people with severe physical disabilities such as amyotrophic lateral sclerosis. The system utilizes a personal computer and a home video camera to detect eye gaze under natural light. It also compensates for measurement errors caused by head movements; in other words, it can detect the eye gaze with a high degree of accuracy. We have also developed a new gaze selection method based on the eye movement history of a user. Using this method, users can rapidly input text using eye gazes. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Abe, K., Ohi, S., & Ohyama, M. (2007). An eye-gaze input system using information on eye movement history. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4555 LNCS, pp. 721–729). Springer Verlag. https://doi.org/10.1007/978-3-540-73281-5_79
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