short-paper

Modelling of Blink-Related Eyelid-Induced Shunting on the Electrooculogram

Authors:

Nathaniel Barbara,

Tracey A. Camilleri,

Kenneth P. CamilleriAuthors Info & Claims

ETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications

Article No.: 9, Pages 1 - 6

https://doi.org/10.1145/3448018.3457994

Published: 25 May 2021 Publication History

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Abstract

Besides the traditional regression model-based techniques to estimate the gaze angles (GAs) from electrooculography (EOG) signals, more recent works have investigated the use of a battery model for GA estimation. This is a white-box, explicit and physically-driven model which relates the monopolar EOG potential to the electrode-cornea and electrode-retina distances. In this work, this model is augmented to cater for the blink-induced EOG signal characteristics, by modelling the eyelid-induced shunting effect during blinks. Specifically, a channel-dependent parameter representing the extent to which the amount of eyelid opening affects the particular EOG channel is introduced. A method to estimate these parameters is also proposed and the proposed model is validated by incorporating it in a Kalman filter to estimate the eyelid opening during blinks. The results obtained have demonstrated that the proposed model can accurately represent the blink-related eyelid-induced shunting.

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Madhusanka BRamadass SRajagopal PHerath H(2022)Attention-Aware Recognition of Activities of Daily Living Based on Eye Gaze TrackingInternet of Things for Human-Centered Design10.1007/978-981-16-8488-3_8(155-179)Online publication date: 25-Feb-2022
https://doi.org/10.1007/978-981-16-8488-3_8

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Modelling of Blink-Related Eyelid-Induced Shunting on the Electrooculogram

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Published In

ETRA '21 Short Papers: ACM Symposium on Eye Tracking Research and Applications

May 2021

232 pages

ISBN:9781450383455

DOI:10.1145/3448018

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Hans Gellersen
Aarhus University, Denmark
,
Daniel Weiskopf
University of Stuttgart, Germany
,
Mihai Bace
ETH Zürich, Switzerland
,
Teresa Hirzle
Ulm University, Germany
,
Florian Alt
Bundeswehr University Munich, Germany
,
Thies Pfeiffer
Hochschule Emden/Leer, Germany
,
Roman Bednarik
University of Eastern Finland, Finland
,
Krzysztof Krejtz
SWPS University of Social Sciences and Humanities, Poland
,
Tanja Blascheck
University of Stuttgart, Germany
,
Michael Burch
University of Applied Sciences, Chur, Switzerland
,
Peter Kiefer
ETH Zurich, Switzerland
,
Michael Dodd
University of Nebraska-Lincoln, USA
,
Bonita Sharif
University of Nebraska-Lincoln, USA

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Published: 25 May 2021

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Malta Council for Science and Technology

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ETRA '21: 2021 Symposium on Eye Tracking Research and Applications

May 25 - 27, 2021

Virtual Event, Germany

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Madhusanka BRamadass SRajagopal PHerath H(2022)Attention-Aware Recognition of Activities of Daily Living Based on Eye Gaze TrackingInternet of Things for Human-Centered Design10.1007/978-981-16-8488-3_8(155-179)Online publication date: 25-Feb-2022
https://doi.org/10.1007/978-981-16-8488-3_8

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Analysis of EOG Signals Using Empirical Mode Decomposition for Eye Blink Detection

Pupil vs. Eyelid: Evaluating the Accuracy of Blink Detection in Pupil-based Eye Tracking Devices

Some Psychological Responses Measured by a Commercial Electrooculography Sensor and Its Applicability

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