Automated Feature Engineering for Single-Trial EEG and Eye-Tracking Classification in Predictive Text Interfaces

Brain-Computer Interfaces (BCIs) offer a direct connection between the human brain and digital systems, enabling innovative applications. However, realizing the full potential of BCIs remains challenging due to issues like noise, artifacts, and limited data availability. In this study, we develop a...

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Bibliographic Details

Published in:	The ... International Winter Conference on Brain-Computer Interface pp. 1 - 7
Main Authors:	Kastrati, Ard, Winters, R. Michael, Djuric, Nemanja, Tashev, Ivan J., Wang, Yu-Te
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.02.2025
Subjects:	Accuracy automated feature engineering Brain-computer interfaces Digital systems EEG Electric potential Electroencephalography Eye Tracking Gaze tracking Manuals Noise Pipelines predictive interaction systems
ISSN:	2572-7672
Online Access:	Get full text
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