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Authors: Julio Abascal ; Andoni Arruti ; José I. Martín and Javier Muguerza

Affiliation: University of the Basque Country (UPV/EHU), Spain

ISBN: 978-989-758-006-2

Keyword(s): Brain-Computer Interface (BCI), Non Intentional Patterns Detection, Electroencephalogram (EEG), Clustering, Supervised Learning.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; 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: This paper presents a two-level hierarchical approach to recognising intentional and non intentional mental tasks on a brain-computer interface. A clustering process is performed at the first recognition level in order to differentiate Non intentional Control state (NC) patterns from Intentional Control (IC) patterns. At the second level, the IC detected patterns are classified by means of supervised learning techniques, applied to the type of movement (left hand, right hand, tongue or foot imagery movement). The objective is to achieve high correct movement recognition scores, with a low percentage of wrong decisions (that is, low false positive rates), to avoid user frustration. Offline evaluation of the proposed prototype shows 84.5% accuracy, with a 6.7% false positive rate.

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Paper citation in several formats:
Abascal, J.; Arruti, A.; I. Martín, J. and Muguerza, J. (2014). A Hierarchical BCI System Able to Discriminate between Non Intentional Control State and Four Intentional Control Activities.In Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS, ISBN 978-989-758-006-2, pages 91-97. DOI: 10.5220/0004723000910097

@conference{phycs14,
author={Julio Abascal. and Andoni Arruti. and José I. Martín. and Javier Muguerza.},
title={A Hierarchical BCI System Able to Discriminate between Non Intentional Control State and Four Intentional Control Activities},
booktitle={Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,},
year={2014},
pages={91-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004723000910097},
isbn={978-989-758-006-2},
}

TY - CONF

JO - Proceedings of the International Conference on Physiological Computing Systems - Volume 1: PhyCS,
TI - A Hierarchical BCI System Able to Discriminate between Non Intentional Control State and Four Intentional Control Activities
SN - 978-989-758-006-2
AU - Abascal, J.
AU - Arruti, A.
AU - I. Martín, J.
AU - Muguerza, J.
PY - 2014
SP - 91
EP - 97
DO - 10.5220/0004723000910097

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