@inproceedings{6827966d70434dfdb0e08f0501f7cdc8,
title = "Reading your mind: EEG during reading task",
abstract = "This paper demonstrates the ability to study the human reading behaviors with the use of Electroencephalography (EEG). This is a relatively new research direction because, obviously, gaze-tracking technologies are used specifically for those types of studies. We suspect, EEG, with the capability of recording brain-wave activities from the human scalp, in theory, could exhibit potential attributes to replace gaze-tracking in such research. To prove the concept, in this paper, we organized a BCI experiment and propose a model for effective classifying EEG data in comparison to the accuracy of gaze-tracking. The results show that by using EEG, we could achieve comparable results against the more established methods while demonstrating a potential live EEG applications. This paper also discusses certain points of consideration for using EEG in this work.",
keywords = "Artificial Neural Network, BCI, EEG, Reading tasks, Signal Processing",
author = "Tan Vo and Tom Gedeon",
year = "2011",
doi = "10.1007/978-3-642-24955-6\_48",
language = "English",
isbn = "9783642249549",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 1",
pages = "396--403",
booktitle = "Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings",
edition = "PART 1",
note = "18th International Conference on Neural Information Processing, ICONIP 2011 ; Conference date: 13-11-2011 Through 17-11-2011",
}