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Przegląd Elektrotechniczny

Tytuł artykułu

Classification of Driver Drowsiness Level using Wireless EEG

Autorzy Wali, M. K.  Murugappan, M.  Badlishah-Ahmad, R. 
Treść / Zawartość
Warianty tytułu
PL Badania senności kierowcy na podstawie sygnału EEG
Języki publikacji EN
EN In this work, wireless Electroencephalogram (EEG) signals are used to classify the driver drowsiness levels (neutral, drowsy, high drowsy and sleep stage1) based on Discrete Wavelet Packet Transform (DWPT). Two statistical features (spectral centroid, and power spectral density) were extracted from four EEG frequency bands (delta, theta, alpha, and beta) using Fast Fourier Transform (FFT). These features are used to classify the driver drowsiness level using three classifiers namely, subtractive fuzzy clustering, probabilistic neural network, and K nearest neighbour. Results of this study indicates that the best average accuracy of 84.41% is achieved using subtractive fuzzy classifier based on power spectral density feature extracted by db4 wavelet function.
PL W artykule zaprezentowano możliwość wykorzystania dyskretnej transformaty falkowej do analizy sygnału elektroencefalografii w badaniach senności kierowcy. Parametry statystyczne sygnału analizowano z wykorzystaniem dyskretnej transformaty Fouriera. Stwierdzono że najlepsza dokładność uzyskuje się stosując klasyfikator rozmyty i funkcję falkową db4.
Słowa kluczowe
PL dyskretna transformata falkowa   senność   dyskretna transformata Fouriera  
EN discrete wavelet transform   EEG   fast Fourier transform   fuzzy inference system  
Wydawca Wydawnictwo SIGMA-NOT
Czasopismo Przegląd Elektrotechniczny
Rocznik 2013
Tom R. 89, nr 6
Strony 113--117
Opis fizyczny Bibliogr. 15 poz., rys., tab., wykr.
autor Wali, M. K.
autor Murugappan, M.
autor Badlishah-Ahmad, R.
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[12] Wali K.M., Murugappan M., Badlishah A., Zheng B.,”Development of Discrete Wavelet Transform (DWT) Toolbox for Signal Processing Applications”,2012 International Conference on Biomedical Engineering (ICoBE),,Penang, Malaysia,27-28 February 2012.
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