Title :
EEG signal recognition for brain word interface using wavelet decomposition
Author :
Hema, C.R. ; Wei, Leong Shi ; Tan, Erdy S M
Author_Institution :
Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Pauh, Malaysia
Abstract :
A simple brain word dictionary (BWD) system using wavelet decomposition to form feature sets is developed. A BWD is an essential tool in the rehabilitation of paralyzed individuals which converts the brain EEG signals into audio words. A feed forward neural network classifier is proposed to classify ten simple words. EEG signals acquired from two subjects are used in the experiments. Performance of the single trial analysis has an average recognition rate of 87.7%.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; feedforward neural nets; medical signal processing; patient rehabilitation; signal classification; wavelet transforms; BWD; EEG; audio words; brain word dictionary system; feature sets; feed forward neural network classifier; rehabilitation; signal recognition; wavelet decomposition; Electroencephalography; Feeds; Fourier transforms; Frequency; Humans; Information analysis; Neurons; Signal processing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
Conference_Location :
Mallaca City
Print_ISBN :
978-1-4244-7121-8
DOI :
10.1109/CSPA.2010.5545306
