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Electrode clustering and bandpass analysis of eeg data for gaze estimation


Kastrati, Ard; Płomecka, Martyna Beata; Küchler, Joël; Langer, Nicolas; Wattenhofer, Roger (2023). Electrode clustering and bandpass analysis of eeg data for gaze estimation. Proceedings of Machine Learning Research (PMLR), 210:50-65.

Abstract

In this study, we validate the findings of previously published papers, showing the feasibility of an Electroencephalography (EEG) based gaze estimation. Moreover, we extend previous research by demonstrating that with only a slight drop in model performance, we can
significantly reduce the number of electrodes, indicating that a high-density, expensive EEG cap is not necessary for the purposes of EEG-based eye tracking. Using data-driven approaches, we establish which electrode clusters impact gaze estimation and how the different types of EEG data preprocessing affect the models’ performance. Finally, we also inspect which recorded frequencies are most important for the defined tasks.

Abstract

In this study, we validate the findings of previously published papers, showing the feasibility of an Electroencephalography (EEG) based gaze estimation. Moreover, we extend previous research by demonstrating that with only a slight drop in model performance, we can
significantly reduce the number of electrodes, indicating that a high-density, expensive EEG cap is not necessary for the purposes of EEG-based eye tracking. Using data-driven approaches, we establish which electrode clusters impact gaze estimation and how the different types of EEG data preprocessing affect the models’ performance. Finally, we also inspect which recorded frequencies are most important for the defined tasks.

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Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Scopus Subject Areas:Physical Sciences > Artificial Intelligence
Physical Sciences > Software
Physical Sciences > Control and Systems Engineering
Physical Sciences > Statistics and Probability
Uncontrolled Keywords:EEG, Clustering, Deep Learning, Gaze Estimation, Bandpassing
Language:English
Date:2023
Deposited On:06 Feb 2024 18:08
Last Modified:14 May 2024 13:27
Publisher:MLResearch Press
ISSN:2640-3498
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:https://proceedings.mlr.press/v210/kastrati23a/kastrati23a.pdf
  • Content: Published Version
  • Language: English