DocumentCode :
2373449
Title :
MLSP Competition, 2010: Description of third place method.
Author :
Labbé, Benjamin ; Tian, Xilan ; Rakotomamonjy, Alain
Author_Institution :
LITIS EA 4108, INSA de Rouen, St. Etienne du Rouvray, France
fYear :
2010
fDate :
Aug. 29 2010-Sept. 1 2010
Firstpage :
116
Lastpage :
117
Abstract :
The MLSP competition (2010) purpose is to design a pattern recognition system for “mind reading”. This paper is a study of the EEG competition dataset and the crafting of the third place winning method. It shortly presents our signal processing methods for feature extraction, and channel selection. We accurately tuned all the parameters of these preprocessing stage before feeding a Gaussian SVM classifier. Without using any complex signal processing techniques nor strong neuroscience prior knowledge, we were able to build to a simple and fast agnostic classifier which achieves good performances.
Keywords :
Gaussian processes; electroencephalography; feature extraction; pattern classification; pattern recognition; support vector machines; EEG competition dataset; Gaussian SVM classifier; MLSP competition; channel selection; feature extraction; pattern recognition system; Bandwidth; Electroencephalography; Feature extraction; Kernel; Signal processing; Support vector machines; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on
Conference_Location :
Kittila
ISSN :
1551-2541
Print_ISBN :
978-1-4244-7875-0
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2010.5589242
Filename :
5589242
Link To Document :
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