Proposal of estimation method of stable fixation points for eye-gaze input interface

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages330-339
Number of pages10
Volume8007 LNCS
EditionPART 4
DOIs
Publication statusPublished - 2013
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume8007 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

Fingerprint

Fixation
Image processing
Input Devices
Estimation Algorithms
Image Processing
Verify
Experiments
Target
Evaluation
Experiment

Keywords

  • Eye-gaze input
  • fixation point
  • pointing error
  • stabilization
  • task completion time

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Murata, A., Hayami, T., & Ochi, K. (2013). Proposal of estimation method of stable fixation points for eye-gaze input interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 8007 LNCS, pp. 330-339). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8007 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-39330-3_35

Proposal of estimation method of stable fixation points for eye-gaze input interface. / Murata, Atsuo; Hayami, Takehito; Ochi, Keita.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8007 LNCS PART 4. ed. 2013. p. 330-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8007 LNCS, No. PART 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Murata, A, Hayami, T & Ochi, K 2013, Proposal of estimation method of stable fixation points for eye-gaze input interface. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 8007 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 8007 LNCS, pp. 330-339, 15th International Conference on Human-Computer Interaction, HCI International 2013, Las Vegas, NV, United States, 7/21/13. https://doi.org/10.1007/978-3-642-39330-3_35
Murata A, Hayami T, Ochi K. Proposal of estimation method of stable fixation points for eye-gaze input interface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 8007 LNCS. 2013. p. 330-339. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). https://doi.org/10.1007/978-3-642-39330-3_35
Murata, Atsuo ; Hayami, Takehito ; Ochi, Keita. / Proposal of estimation method of stable fixation points for eye-gaze input interface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8007 LNCS PART 4. ed. 2013. pp. 330-339 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
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