research-article

Human computer interface by EOG tracking

Authors:

B. Estrany,

P. Fuster,

A. Garcia,

Y. LuoAuthors Info & Claims

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

Article No.: 96, Pages 1 - 9

https://doi.org/10.1145/1389586.1389694

Published: 16 July 2008 Publication History

Get Access

Abstract

In this paper we present a human computer interface system that explores the ability of human interacting with machine. The interaction uses a new channel different from the traditional one: the electrical signal produced by the dipole generated by the human eye. This signal is called the EOG signal (Electrooculography).

In order to build such a system, we developed a set of hardware and software that allowed us to evaluate the technical aspects that influence the acquisition and digitization of these signals. The key technical problems have been solved. The system can perform the human-computer interaction with satisfactory results.

References

[1]

Barea, R. (2001). Interfaz Usuario-Máquina basado en electrooculografía. Aplicación a la ayuda a la movilidad. Tesis doctoral. Madrid: Universidad de Alcalá de Henares.

Google Scholar

[2]

Gips, J. et al., Using EagleEyes- an Electrodes Based Device for Controlling the Computer with Your Eyes. Klaus, J et al.(eds.). Interdisciplinary Aspects on Computers Helping People with Special Needs. Viena: R, (1996).

Digital Library

Google Scholar

[3]

Knapp, R. B.; Lusted, H. y Patmore, D. W. (1995). Using the electrooculogram as a means for computer control. Proc. of RESNA 95. 699--701.

Google Scholar

[4]

Kuno, Y.; Yagui, T. y Uchikawa, Y., Development of Eye-gaze input interface. Proc. of 7th International Conference on Human Computer Interaction. Volumen 1, 44. (1997)

Google Scholar

[5]

LaCourse, J. R. y Hludik, F. C. An eye movement Communication-Control System for the Disabled. IEEE Transactions on Biomedical Engineering. Volumen 37 (12), 1215--1220. (1990).

Google Scholar

[6]

Lusted, H. S. y Knapp, R. B. Controlling computers with neural signals. Scientific American. Volumen 275 (4), 82--87. (1996).

Google Scholar

[7]

Yamada, M. y Fukuda, T. Eye Word Processor and Peripheral Controler for the ALS Patient. IEEE Proceedings A. Volumen 19 (6), 1527--1534. (1987).

Google Scholar

[8]

Kris, E. C. (1960). Vision Electro-oculography. In Glasser, O. (ed). Medical Physics III. Chicago: Year Book Publishers.

Google Scholar

[9]

Young, L. R. y Sheena, D. (1975). Survey of eye movement recording methods. Behavior Research Methods & Instrumentation. Volumen 7 (5), 397--429.

Google Scholar

[10]

Vickers Medical Division. (1985). The electro-oculogram. Medelec clinical aplications. No. 10.

Google Scholar

[11]

Nicolau, M. C.; Burcet, J. y Rial, R. V. (1995). Manual de técnicas en Electrofisiología clínica. Universitat de les Illes Balears.

Google Scholar

[12]

Barea, R. (1998). Captación, Amplificación y Acondicionamiento de Señales Bioeléctricas. Universidad de Alcalá de Henares.

Google Scholar

[13]

Ferrero, J. M. (1994). Bioelectrónica. Señales bioeléctricas. Valencia: Universidad Politécnica de Valencia.

Google Scholar

[14]

B. Estrany, P. Fuster, A. Garcia, Y. Luo, Accurate interaction with computer by eye movement tracking, to appear in proceedings of 4th IET International Conference on Intelligent Environments, (IE 08), Seattle, USA, July, 2008.

Google Scholar

Cited By

View all

Belkhiria CBoudir AHurter CPeysakhovich V(2022)EOG-Based Human–Computer Interface: 2000–2020 ReviewSensors10.3390/s2213491422:13(4914)Online publication date: 29-Jun-2022
https://doi.org/10.3390/s22134914
Suicmez ATepe C(2022)Comparison of Different Feature Selection Methods Using Support Vector Machine for Estimating Eye Angles2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)10.1109/ISMSIT56059.2022.9932725(413-416)Online publication date: 20-Oct-2022
https://doi.org/10.1109/ISMSIT56059.2022.9932725
Estrany BFuster-Parra P(2022)Human Eye Tracking Through Electro-Oculography (EOG): A ReviewCooperative Design, Visualization, and Engineering10.1007/978-3-031-16538-2_8(75-85)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-16538-2_8
Show More Cited By

Index Terms

Human computer interface by EOG tracking
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. User centered design

Recommendations

Wearable EOG goggles: eye-based interaction in everyday environments
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems

In this paper, we present an embedded eye tracker for context-awareness and eye-based human-computer interaction - the wearable EOG goggles. In contrast to common systems using video, this unobtrusive device relies on Electrooculography (EOG). It ...
EOG signal processing and analysis for controlling computer by eye movements
PETRA '09: Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments

We have successfully designed and built a human computer interface system to interface with the computer by human eye EOG signal (Electrooculography). The EOG signal has very low voltage and very sensitive to interference. This paper introduces the ...
Human-computer interaction based on eye movement tracking
CAMP '95: Proceedings of the Computer Architectures for Machine Perception

An advanced approach to man-machine interaction is proposed, in which computer vision techniques are used for interpreting user actions. The key idea of the approach is the combined use of head motions for visual navigation and eye pupil positions for ...

Comments

Information & Contributors

Information

Published In

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

July 2008

607 pages

ISBN:9781605580678

DOI:10.1145/1389586

Editors:
Fillia Makedon
University of Texas at Arlington
,
Lynne Baillie
Telecom Research Center Vienna (FTW), Austria
,
Grammati Pantziou
TEI of Athens (Department of Informatics), Greece
,
Ilias Maglogiannis
University of Central Greece (Department of Computer Science and Biomedical Informatics), Greece

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

PETRA '08

Sponsor:

Motorola
SERC
NIST

PETRA '08: The 1st International Conference on PErvasive Technologies Related to Assistive Environments

July 16 - 18, 2008

Athens, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
590
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Belkhiria CBoudir AHurter CPeysakhovich V(2022)EOG-Based Human–Computer Interface: 2000–2020 ReviewSensors10.3390/s2213491422:13(4914)Online publication date: 29-Jun-2022
https://doi.org/10.3390/s22134914
Suicmez ATepe C(2022)Comparison of Different Feature Selection Methods Using Support Vector Machine for Estimating Eye Angles2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)10.1109/ISMSIT56059.2022.9932725(413-416)Online publication date: 20-Oct-2022
https://doi.org/10.1109/ISMSIT56059.2022.9932725
Estrany BFuster-Parra P(2022)Human Eye Tracking Through Electro-Oculography (EOG): A ReviewCooperative Design, Visualization, and Engineering10.1007/978-3-031-16538-2_8(75-85)Online publication date: 25-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-16538-2_8
López AFerrero FVillar JPostolache O(2020)High-Performance Analog Front-End (AFE) for EOG SystemsElectronics10.3390/electronics90609709:6(970)Online publication date: 11-Jun-2020
https://doi.org/10.3390/electronics9060970
Ryu JLee MKim D(2019)EOG-based eye tracking protocol using baseline drift removal algorithm for long-term eye movement detectionExpert Systems with Applications: An International Journal10.1016/j.eswa.2019.04.039131:C(275-287)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1016/j.eswa.2019.04.039
Ogai STanaka T(2017)A drag-and-drop type human computer interaction technique based on electrooculogram2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)10.1109/APSIPA.2017.8282126(716-720)Online publication date: Dec-2017
https://doi.org/10.1109/APSIPA.2017.8282126
Estrany BMarin CMascaró MBibiloni ALuo Y(2017)Multimodal human-machine interface devices in the cloudJournal on Multimodal User Interfaces10.1007/s12193-017-0253-z12:2(125-143)Online publication date: 14-Nov-2017
https://doi.org/10.1007/s12193-017-0253-z
Zhang JWang BZhang CHong J(2016)Volitional and Real-Time Control Cursor Based on Eye Movement Decoding Using a Linear Decoding ModelComputational Intelligence and Neuroscience10.1155/2016/40697902016(3)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1155/2016/4069790
Ishida FHirano HFujimura Y(2015)Development of a Method for Gaze Estimation Based on Planar Approximations of Voltage Ratios Calculated from Multiple Electro-oculogram SignalsAdvanced Biomedical Engineering10.14326/abe.4.214(21-26)Online publication date: 2015
https://doi.org/10.14326/abe.4.21
Manabe HFukumoto MYagi T(2015)Direct Gaze Estimation Based on Nonlinearity of EOGIEEE Transactions on Biomedical Engineering10.1109/TBME.2015.239440962:6(1553-1562)Online publication date: Jun-2015
https://doi.org/10.1109/TBME.2015.2394409
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Wearable EOG goggles: eye-based interaction in everyday environments

EOG signal processing and analysis for controlling computer by eye movements

Human-computer interaction based on eye movement tracking

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations