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Journal Articles IEEE Transactions on Neural Systems and Rehabilitation Engineering Year : 2007

Studying the Use of Fuzzy Inference Systems for Motor Imagery Classification

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Abstract

This paper studies the use of Fuzzy Inference Systems (FISs) for motor imagery classification in EEG-based Brain-Computer Interfaces (BCIs). The results of the four studies achieved are promising as, on the analysed data, the used FIS was efficient, interpretable, showed good capabilities of rejecting outliers and offered the possibility of using a priori knowledge.
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Dates and versions

inria-00134958 , version 1 (06-03-2007)
inria-00134958 , version 2 (19-03-2008)

Identifiers

  • HAL Id : inria-00134958 , version 2

Cite

Fabien Lotte, Anatole Lécuyer, Fabrice Lamarche, Bruno Arnaldi. Studying the Use of Fuzzy Inference Systems for Motor Imagery Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007, 15 (2), pp.322-324. ⟨inria-00134958v2⟩
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