research-article

EOG-based eye gesture input with audio staging

Authors:

Hiroyuki Manabe,

Tohru YagiAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 383 - 384

https://doi.org/10.1145/2578153.2583039

Published: 26 March 2014 Publication History

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Abstract

Eye tracking techniques have moved from the laboratory into everyday life; examples include input interfaces for the severely handicapped and object-of-interest selection in the camera finder. They will bring great benefits when they can be used easily in everyday life. However, the current major tracking devices are not accepted widely because they set cameras in front of the user's face which plays several extremely important roles in everyday life. Desktop devices or special personal devices can be used but they impose their own limitations.

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Manabe, H., Fukumoto, M., and Yagi, T. 2013. Automatic drift calibration for eog-based gaze input interface. In Proc. IEEE EMBC, 53--56.

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Cited By

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Hu JJiang HLiu DXiao ZZhang QMin GLiu J(2024)Real-Time Contactless Eye Blink Detection Using UWB RadarIEEE Transactions on Mobile Computing10.1109/TMC.2023.332328023:6(6606-6619)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3323280
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
Hu JJiang HLiu DXiao ZDustdar SLiu JMin G(2022)BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS54860.2022.00104(1040-1050)Online publication date: Jul-2022
https://doi.org/10.1109/ICDCS54860.2022.00104

Index Terms

EOG-based eye gesture input with audio staging
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Tracking
      2. Computer vision tasks
        Scene understanding
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms

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Published In

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

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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Association for Computing Machinery

New York, NY, United States

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Published: 26 March 2014

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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ETRA '25

Sponsor:
sigchi
sigchi

2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

Tokyo , Japan

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Hu JJiang HLiu DXiao ZZhang QMin GLiu J(2024)Real-Time Contactless Eye Blink Detection Using UWB RadarIEEE Transactions on Mobile Computing10.1109/TMC.2023.332328023:6(6606-6619)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3323280
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
Hu JJiang HLiu DXiao ZDustdar SLiu JMin G(2022)BlinkRadar: Non-Intrusive Driver Eye-Blink Detection with UWB Radar2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)10.1109/ICDCS54860.2022.00104(1040-1050)Online publication date: Jul-2022
https://doi.org/10.1109/ICDCS54860.2022.00104

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Recommendations

Wearable EOG goggles: eye-based interaction in everyday environments

Eye gesture recognition on portable devices

Hide my Gaze with EOG!: Towards Closed-Eye Gaze Gesture Passwords that Resist Observation-Attacks with Electrooculography in Smart Glasses

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