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EOG signal processing and analysis for controlling computer by eye movements

Published: 09 June 2009 Publication History

Abstract

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 software we developed for processing the EOG signal which lead to a reliable human computer interface by eye movements.

References

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B. Estrany, P. Fuster, A. Garcia, Yuhua Luo, Human computer interface by EOG tracking, ACM Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environment, 2008, http://doi.acm.org/10.1145/1389586.1389694.
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Kris, E. C. (1960). Vision Electro-oculography. In Glasser, O. (ed). Medical Physics III. Chicago: Year Book Publishers.
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Vickers Medical Division. (1985). The electro-oculogram. Medelec clinical aplications. N°. 10.
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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.
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Cited By

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  • (2023)EOG acquisition system based on ATmega AVR microcontrollerJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04622-914:12(16589-16605)Online publication date: 23-Aug-2023
  • (2022)EOG-Based Human–Computer Interface: 2000–2020 ReviewSensors10.3390/s2213491422:13(4914)Online publication date: 29-Jun-2022
  • (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
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  1. EOG signal processing and analysis for controlling computer by eye movements

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    cover image ACM Other conferences
    PETRA '09: Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
    June 2009
    481 pages
    ISBN:9781605584096
    DOI:10.1145/1579114
    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]

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    New York, NY, United States

    Publication History

    Published: 09 June 2009

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    Author Tags

    1. EOG (electrooculography)
    2. eye movement tracking
    3. human-computer interaction
    4. software

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    View all
    • (2023)EOG acquisition system based on ATmega AVR microcontrollerJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04622-914:12(16589-16605)Online publication date: 23-Aug-2023
    • (2022)EOG-Based Human–Computer Interface: 2000–2020 ReviewSensors10.3390/s2213491422:13(4914)Online publication date: 29-Jun-2022
    • (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
    • (2021)DESIGN AND IMPLEMENTATION OF EOG SIGNAL BASED WIRELESS SYSTEM TO CONTROL SMART DEVICESEuropean Journal of Technic10.36222/ejt.99601511:2(107-114)Online publication date: 30-Dec-2021
    • (2018)EOG Based Home Automation System by Cursor Movement Using a Graphical User Interface (GUI)2018 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)10.1109/WIECON-ECE.2018.8783025(1-4)Online publication date: Dec-2018
    • (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
    • (2015)Envelope filter sequence to delete blinks and overshootsBioMedical Engineering OnLine10.1186/s12938-015-0046-014:1Online publication date: 30-May-2015
    • (2015)Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signalsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2015.07.006122:2(149-164)Online publication date: 1-Nov-2015
    • (2014)Eye-tracking capabilities of low-cost EOG system2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6943665(610-613)Online publication date: Aug-2014
    • (2013)Considerations on Strategies to Improve EOG Signal AnalysisInvestigations into Living Systems, Artificial Life, and Real-World Solutions10.4018/978-1-4666-3890-7.ch017(204-217)Online publication date: 2013
    • Show More Cited By

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