Browsing Researchers by Subject "Fast Fourier Transform"

Now showing items 1-3 of 3

    • Classification of driver drowsiness level using wireless EEG 

      Mousa Kadhim, Wali; Murugappan, Muthusamy, Dr.; R. Badlishah, Ahmad, Prof. Dr. (Przegląd Elektrotechniczny, 2013)
      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 ...

    • Subtractive fuzzy classifier based driver drowsiness levels classification using EEG 

      Murugappan, M., Dr.; Wali, Mousa Kadhim; R. Badlishah, Ahmad, Prof. Dr.; Murugappan, Subbulakshmi (IEEE Conference Publications, 2013-04)
      Driver drowsiness is one of the major causes for several road accidents over the world. In this study, Electroencephalogram (EEG) signals were acquired using 14 electrodes from 50 subjects. All the electrodes are placed ...

    • Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT) 

      Murugappan, M., Dr.; Murugappan, Subbulakshmi; Balaganapathy; Gerard, Celestin (IEEE Conference Publications, 2014-03)
      his work aims to identify the most preferred brand on automotive in Malaysia through wireless EEG signals. A group of four major vehicle brand advertisements such as Toyota, Audi, Proton and Suzuki is considered on this ...