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Authors: Ricardo Aler ; Inés M. Galván and José M. Valls

Affiliation: Universidad Carlos III de Madrid, Spain

Keyword(s): Brain Computer Interface, Machine learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The context of this paper is the brain-computer interface (BCI), and in particular the classification of signals with machine learning methods. In this paper we intend to improve classification accuracy by taking advantage of a feature of BCIs: instances run in sequences belonging to the same class. In that case, the classification problem can be reformulated into two subproblems: detecting class transitions and determining the class for sequences of instances between transitions. We detect a transition when the Euclidean distance between the power spectra at two different times is larger than a threshold. To tackle the second problem, instances are classified by taking into account, not just the prediction for that instance, but a moving window of predictions for previous instances. Our results are competitive with those obtained in the BCI III competition.

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Paper citation in several formats:
Aler, R.; Galván, I. and Valls, J. (2009). IMPROVING CLASSIFICATION FOR BRAIN COMPUTER INTERFACES USING TRANSITIONS AND A MOVING WINDOW. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS; ISBN 978-989-8111-65-4; ISSN 2184-4305, SciTePress, pages 65-71. DOI: 10.5220/0001535800650071

@conference{biosignals09,
author={Ricardo Aler. and Inés M. Galván. and José M. Valls.},
title={IMPROVING CLASSIFICATION FOR BRAIN COMPUTER INTERFACES USING TRANSITIONS AND A MOVING WINDOW},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS},
year={2009},
pages={65-71},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001535800650071},
isbn={978-989-8111-65-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2009) - BIOSIGNALS
TI - IMPROVING CLASSIFICATION FOR BRAIN COMPUTER INTERFACES USING TRANSITIONS AND A MOVING WINDOW
SN - 978-989-8111-65-4
IS - 2184-4305
AU - Aler, R.
AU - Galván, I.
AU - Valls, J.
PY - 2009
SP - 65
EP - 71
DO - 10.5220/0001535800650071
PB - SciTePress

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