Modeling the mental differentiation task with EEG

Date

2012

Authors

Vo, Tan
Gedeon, Tamas (Tom)
Tran, Dat

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

Differentiation in human beings is the act of perceiving the difference in or between objects. In other words, it is the mental process taking place to discriminate one thing from others, a common task performed by a person on a very regular basis. Making such differentiations, small or large, easy or hard, still requires a combination of cognitive processes to occur across various parts of the human brain. In this paper, an EEG-based BCI experiment was organized to study the detection of such cognitive processes. Utilizing a machine learning tool, Artificial Neural Networks, to aid in analyzing the acquired dataset, a high correct classification rate was achieved, confirming that it is possible to computationally detect these differentiation activities from EEG signals.

Description

Keywords

Keywords: Artifical neural networks; BCI; Biosignal processing; Classification rates; Cognitive process; Data sets; Differencitation tasks; EEG signals; Human being; Human brain; Mental process; Cognitive systems; Data processing; Electroencephalography; Neural net Artifical neural network; BCI; Biosignal processing; Differencitation tasks; EEG

Citation

Source

Proceedings of ICONIP 2012

Type

Conference paper

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1007/978-3-642-34481-7_44

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