EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures
Joint Authors
Mondini, Valeria
Mangia, Anna Lisa
Cappello, Angelo
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-17
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Motor imagery is a common control strategy in EEG-based brain-computer interfaces (BCIs).
However, voluntary control of sensorimotor (SMR) rhythms by imagining a movement can be skilful and unintuitive and usually requires a varying amount of user training.
To boost the training process, a whole class of BCI systems have been proposed, providing feedback as early as possible while continuously adapting the underlying classifier model.
The present work describes a cue-paced, EEG-based BCI system using motor imagery that falls within the category of the previously mentioned ones.
Specifically, our adaptive strategy includes a simple scheme based on a common spatial pattern (CSP) method and support vector machine (SVM) classification.
The system’s efficacy was proved by online testing on 10 healthy participants.
In addition, we suggest some features we implemented to improve a system’s “flexibility” and “customizability,” namely, (i) a flexible training session, (ii) an unbalancing in the training conditions, and (iii) the use of adaptive thresholds when giving feedback.
American Psychological Association (APA)
Mondini, Valeria& Mangia, Anna Lisa& Cappello, Angelo. 2016. EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099683
Modern Language Association (MLA)
Mondini, Valeria…[et al.]. EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1099683
American Medical Association (AMA)
Mondini, Valeria& Mangia, Anna Lisa& Cappello, Angelo. EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1099683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099683