Publication: Electrode clustering and bandpass analysis of eeg data for gaze estimation
Electrode clustering and bandpass analysis of eeg data for gaze estimation
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Kastrati, A., Płomecka, M. B., Küchler, J., Langer, N., & Wattenhofer, R. (2023). Electrode clustering and bandpass analysis of eeg data for gaze estimation. Proceedings of Machine Learning Research, 210, 50–65. https://proceedings.mlr.press/v210/kastrati23a/kastrati23a.pdf
Abstract
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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 ty
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- Kastrati, Ard
- Płomecka, Martyna Beata
- Küchler, Joël
- Langer, Nicolas
- Wattenhofer, Roger
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Citations
Kastrati, A., Płomecka, M. B., Küchler, J., Langer, N., & Wattenhofer, R. (2023). Electrode clustering and bandpass analysis of eeg data for gaze estimation. Proceedings of Machine Learning Research, 210, 50–65. https://proceedings.mlr.press/v210/kastrati23a/kastrati23a.pdf
