Title: Wavelet packet-based classification of brain states during English and mother tongue script writing

Authors: Nidal Rafiuddin; Md. Tabrez; Yusuf Uzzaman Khan; Omar Farooq

Addresses: Department of Electrical Engineering, Aligarh Muslim University, Aligarh 202002, India ' Department of Electrical Engineering, Aligarh Muslim University, Aligarh 202002, India ' Department of Electrical Engineering, Aligarh Muslim University, Aligarh 202002, India ' Department of Electronics Engineering, Aligarh Muslim University, Aligarh 202002, India

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%.

Keywords: BCI; brain-computer interface; confusion matrix; EEG; electroencephalograms; Fourier transforms; English script writing; wavelet transform; classification; brain states; mother tongue script writing; neuromuscular disorders; Urdu script writing; wavelet packet decomposition.

DOI: 10.1504/IJBET.2016.081220

International Journal of Biomedical Engineering and Technology, 2016 Vol.22 No.4, pp.325 - 337

Received: 30 Sep 2015
Accepted: 08 Mar 2016
Published online: 29 Dec 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article