@inproceedings{127b6b2f9fe7447aa143bd2a48d84be7,
title = "Proposal of estimation method of stable fixation points for eye-gaze input interface",
abstract = "As almost all of existing eye-gaze input devices suffers from fine and frequent shaking of fixation points, an effective and stable estimation method of fixation points has been proposed so that the obtained stable fixation points enabled users to point even to a smaller target easily. An estimation algorithm was based on the image processing technique (Hough transformation). An experiment was carried out to verify the effectiveness of eye-gaze input system that made use of the proposed estimation method of fixation point. From both evaluation measures, the proposed method was found to assure more stable cursor movement than the traditional and commercial method.",
keywords = "Eye-gaze input, fixation point, pointing error, stabilization, task completion time",
author = "Atsuo Murata and Takehito Hayami and Keita Ochi",
year = "2013",
doi = "10.1007/978-3-642-39330-3_35",
language = "English",
isbn = "9783642393297",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 4",
pages = "330--339",
booktitle = "Human-Computer Interaction",
edition = "PART 4",
note = "15th International Conference on Human-Computer Interaction, HCI International 2013 ; Conference date: 21-07-2013 Through 26-07-2013",
}