International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 1278 - 1293

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?

Authors
Miriam Seoane Santos1, miriams@student.dei.uc.pt, Pedro Henriques Abreu1, pha@dei.uc.pt, Rodríguez-Bermúdez Germán2, german.rodriguez@cud.upct.es, Pedro J. García-Laencina2
1Centre for Informatics and Systems, University of Coimbra, Pólo II, Pinhal de Marrocos, Coimbra, 3030-290, Portugal
2University Centre of Defence at the Spanish Air Force Academy, UPCT-MDE, Calle Coronel Lopez Peña, s/n, Santiago de la Ribera, Murcia, 30720, Spain
Received 28 February 2018, Accepted 11 July 2018, Available Online 26 July 2018.
DOI
10.2991/ijcis.11.1.95How to use a DOI?
Keywords
Brain Computer Interface Systems; Motor Imagery Tasks; Pattern Recognition; Machine Learning
Abstract

Brain-Computer Interface systems based on motor imagery are able to identify an individual’s intent to initiate control through the classification of encephalography patterns. Correctly classifying such patterns is instrumental and strongly depends in a robust machine learning block that is able to properly process the features extracted from a subject’s encephalograms. The main objective of this work is to provide an overall view on machine learning stages, aiming to answer the following question: “What are the steps in the classification process that we should worry about?”. The obtained results suggest that future research in the field should focus on two main aspects: exploring techniques for dimensionality reduction, in particular, supervised linear approaches, and evaluating adequate validation schemes to allow a more precise interpretation of results.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
1278 - 1293
Publication Date
2018/07/26
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.95How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Miriam Seoane Santos
AU  - Pedro Henriques Abreu
AU  - Rodríguez-Bermúdez Germán
AU  - Pedro J. García-Laencina
PY  - 2018
DA  - 2018/07/26
TI  - Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?
JO  - International Journal of Computational Intelligence Systems
SP  - 1278
EP  - 1293
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.95
DO  - 10.2991/ijcis.11.1.95
ID  - Santos2018
ER  -