Wavelet packet-based classification of brain states during English and mother tongue script writing
by Nidal Rafiuddin; Md. Tabrez; Yusuf Uzzaman Khan; Omar Farooq
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 22, No. 4, 2016

Abstract: Brain-Computer Interface (BCI) technology can provide basis for a new non-muscular communication and control options for people suffering from neuromuscular disorder using their electroencephalographic (EEG) activity. The work proposed in this paper presents a comparison between EEG acquired during the two brain states involving Urdu script writing which is the mother tongue of the subject and English script writing and further classifies them. Features of energy and IQR have been adopted to differentiate between the two script writing tasks. Features were computed in frequency range showing exceptional difference in amplitudes in both the writing case on Fourier transforms. The frequency range was retained from the decomposition process carried out using wavelet packet decomposition. The results gave a classification accuracy of 75%.

Online publication date: Thu, 29-Dec-2016

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