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

Proceeding of The Proceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014) at Kuala Lumpur, Malaysia on 7 March 2014 until 9 March 2014. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp

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Bibliographic Details
Main Authors: Murugappan, M., Dr., Murugappan, Subbulakshmi, Balaganapathy, Gerard, Celestin
Other Authors: murugappan@unimap.edu.my
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
EEG
Fast Fourier Transform
K Nearest Neighbor (KNN)
Neuromarketing
Probabilistic Neural Network (PNN)
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34513
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spelling my.unimap-345132014-05-19T09:57:42Z Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT) Murugappan, M., Dr. Murugappan, Subbulakshmi Balaganapathy Gerard, Celestin murugappan@unimap.edu.my subbulakshmi@unimap.edu.my EEG Fast Fourier Transform K Nearest Neighbor (KNN) Neuromarketing Probabilistic Neural Network (PNN) Proceeding of The Proceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014) at Kuala Lumpur, Malaysia on 7 March 2014 until 9 March 2014. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp 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 work. An advertisement (video) of above said brands were used to simulate the subjects (9 male and 3 female with age range of 22–24 years) and the brain signal responses for the stimuli were collected using 14 channel wireless Emotiv headset with a sampling frequency of 128 Hz. The acquired signals are preprocessed using 4th order Butterworth band pass filter with a cut off frequency of 0.5 Hz–60 Hz and smoothed using Surface Laplacian filter. The alpha frequency band (8 Hz–13 Hz) of EEG signal information has been extracted using the Butterworth 4th order filter. The frequency spectrum of Alpha band is obtained through Fast Fourier Transform (FFT) to extract three statistical features such as power spectral density (PSD), spectral energy (SE) and spectral centroid (SC) from the EEG signals. Extracted features on all the subjects over four different advertisement stimuli are used to develop the feature vector. This feature vector is further given to a two non-linear classifiers namely K Nearest Neighbor (KNN) and Probabilistic Neural Network (PNN) for classifying the subject intention on advertisements. This present experimental results indicate that, the subjects are mostly inspired on Toyota brand vehicles compared to other brands. The maximum mean classification rate of 96.62% is achieved using PSD feature and PNN classifier. 2014-05-19T09:57:42Z 2014-05-19T09:57:42Z 2014-03 Working Paper p. 25-30 978-1-4799-3090-6 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6805714 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34513 10.1109/CSPA.2014.6805714 en Proceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014); IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic EEG
Fast Fourier Transform
K Nearest Neighbor (KNN)
Neuromarketing
Probabilistic Neural Network (PNN)
spellingShingle EEG
Fast Fourier Transform
K Nearest Neighbor (KNN)
Neuromarketing
Probabilistic Neural Network (PNN)
Murugappan, M., Dr.
Murugappan, Subbulakshmi
Balaganapathy
Gerard, Celestin
Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
description Proceeding of The Proceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014) at Kuala Lumpur, Malaysia on 7 March 2014 until 9 March 2014. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
author2 murugappan@unimap.edu.my
author_facet murugappan@unimap.edu.my
Murugappan, M., Dr.
Murugappan, Subbulakshmi
Balaganapathy
Gerard, Celestin
format Working Paper
author Murugappan, M., Dr.
Murugappan, Subbulakshmi
Balaganapathy
Gerard, Celestin
author_sort Murugappan, M., Dr.
title Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
title_short Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
title_full Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
title_fullStr Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
title_full_unstemmed Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT)
title_sort wireless eeg signals based neuromarketing system using fast fourier transform (fft)
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34513
_version_ 1643797512771862528
score 13.222552

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