Common Spatial Pattern for the Classification of Imagined Geometric Objects

Fabio Costa, Gustavo Patow, José Azorín

2019

Abstract

Electroencephalographic (EEG) signals contain cognitive information, which can be used by Brain-Computer Interface (BCI) systems to control devices through thought. In this work we study the possibility of detecting the visual imagination of seven different geometric objects (triangle, circle, square, pentagon, line, hexagon and parallelogram). The power spectral density in the α band were compared offline with using common spatial pattern (CSP) and the variance of each channel, obtaining as a best result the calculation of the CSP plus variance in the α band and classifying the vector of features with a support vector machine (SVM), obtaining an average result of 52% accuracy and a kappa value of 0.43 in the classification of the seven geometrical shapes, reaching up to 83% and a kappa value of 0.78 for a single user.

Paper Citation

in Harvard Style

Costa F., Patow G. and Azorín J. (2019). Common Spatial Pattern for the Classification of Imagined Geometric Objects.In Proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-376-6, pages 152-155. DOI: 10.5220/0007934601520155

in Bibtex Style

@conference{chira19,
author={Fabio Costa and Gustavo Patow and José Azorín},
title={Common Spatial Pattern for the Classification of Imagined Geometric Objects},
booktitle={Proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2019},
pages={152-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007934601520155},
isbn={978-989-758-376-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - Common Spatial Pattern for the Classification of Imagined Geometric Objects
SN - 978-989-758-376-6
AU - Costa F.
AU - Patow G.
AU - Azorín J.
PY - 2019
SP - 152
EP - 155
DO - 10.5220/0007934601520155