abstract

Study of Additional Eye-Related Features for Future Eye-Tracking Techniques

Authors:

Evgeniy R. Abdulin,

Oleg V. KomogortsevAuthors Info & Claims

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1457 - 1463

https://doi.org/10.1145/3027063.3053095

Published: 06 May 2017 Publication History

Abstract

We investigated additional eye-related features that can be tracked by modified Video-Oculography (VOG) and Photosensor Oculography (PSOG) systems in order to improve their data quality. Using a VOG technique in conjunction with the developed method of detection of actively moving eye-related features, we performed an experimental evaluation of movement characteristics of the observed features, such as eyelashes and eyebrows. Our results shown strong correlation between the lower eyelashes and limbus, which was taken as a control measure of eye movements. Our results can be implemented in applications that require high data quality of eye-tracking, such as in Virtual Reality (VR).

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Cited By

Griffith HKatrychuk DKomogortsev O(2019)Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2019.00450(3651-3659)Online publication date: Oct-2019
https://doi.org/10.1109/ICCVW.2019.00450

Index Terms

Study of Additional Eye-Related Features for Future Eye-Tracking Techniques
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems

May 2017

3954 pages

ISBN:9781450346566

DOI:10.1145/3027063

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

Copyright © 2017 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 May 2017

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NSF CAREER

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CHI '17

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SIGCHI

CHI '17: CHI Conference on Human Factors in Computing Systems

May 6 - 11, 2017

Colorado, Denver, USA

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CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Griffith HKatrychuk DKomogortsev O(2019)Assessment of Shift-Invariant CNN Gaze Mappings for PS-OG Eye Movement Sensors2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2019.00450(3651-3659)Online publication date: Oct-2019
https://doi.org/10.1109/ICCVW.2019.00450

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