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Design and on-line evaluation of type-2 fuzzy logic system-based framework for handling uncertainties in BCI classification
- Source :
- Scopus-Elsevier
- Publication Year :
- 2009
-
Abstract
- The practical applicability of brain-computer interface (BCI) technology is limited due to its insufficient reliability and robustness. One of the major problems in this regard is the extensive variability and inconsistency of brain signal patterns, observed especially in electroencephalogram (EEG). This paper presents a fuzzy logic (FL) approach to the problem of handling of the resultant uncertainty effects. In particular, it outlines the design of a novel type-2 FL system (T2FLS) classifier within the framework of an EEG-based BCI, and examines its on-line applicability in the presence of short-and long-term nonstationarities of spectral EEG correlates of motor imagery (imagination of left vs. right hand movement). The developed system is shown to effectively cope with real-time constraints. In addition, a comparative post hoc analysis has revealed that the proposed T2FLS classifier outperforms conventional BCI methods, like LDA and SVM, in terms of the maximum classification accuracy (CA) rates by a relatively small, yet statistically significant, margin.
- Subjects :
- Computer science
Machine learning
computer.software_genre
Fuzzy logic
Feedback
Pattern Recognition, Automated
User-Computer Interface
Software
Motor imagery
Fuzzy Logic
Robustness (computer science)
Computer Systems
Humans
Brain–computer interface
Signal processing
business.industry
Computers
Stroke Rehabilitation
Brain
Reproducibility of Results
Electroencephalography
Signal Processing, Computer-Assisted
Equipment Design
Support vector machine
Artificial intelligence
business
computer
Classifier (UML)
Algorithms
Subjects
Details
- ISSN :
- 23757477
- Volume :
- 2008
- Database :
- OpenAIRE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Accession number :
- edsair.doi.dedup.....cb98223022b23d69b38278036bcdc816