Classification of human emotion from eeg using discrete wavelet transform

Link to publisher's homepage at http://www.scirp.org/

Saved in:
Bibliographic Details
Main Authors: Murugappan, M., Ramachandran, Nagarajan, Sazali, Yaacob, Prof. Dr.
Format: Article
Language:English
Published: Scientific Research Publishing Inc 2010
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8993
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-8993
record_format dspace
spelling my.unimap-89932010-08-23T03:56:02Z Classification of human emotion from eeg using discrete wavelet transform Murugappan, M. Ramachandran, Nagarajan Sazali, Yaacob, Prof. Dr. Discrete wavelet transform electroencephalogram (EEG) Human emotions K Nearest Neighbor (KNN) Linear Discriminant Analysis (LDA) Discrete Wavelet Transform (DWT) Link to publisher's homepage at http://www.scirp.org/ In this paper, we summarize the human emotion recognition using different set of electroencephalogram (EEG) channels using discrete wavelet transform. An audio-visual induction based protocol has been designed with more dynamic emotional content for inducing discrete emotions (disgust, happy, surprise, fear and neutral). EEG signals are collected using 64 electrodes from 20 subjects and are placed over the entire scalp using International 10-10 system. The raw EEG signals are preprocessed using Surface Laplacian (SL) filtering method and decomposed into three different frequency bands (alpha, beta and gamma) using Discrete Wavelet Transform (DWT). We have used db4 wavelet function for deriving a set of conventional and modified energy based features from the EEG signals for classifying emotions. Two simple pattern classification methods, K Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA) methods are used and their performances are compared for emotional states classification. The experimental results indicate that, one of the proposed features (ALREE) gives the maximum average classification rate of 83.26% using KNN and 75.21% using LDA compared to those of conventional features. Finally, we present the average classification rate and subsets of emotions classification rate of these two different classifiers for justifying the performance of our emotion recognition system. 2010-08-23T03:56:02Z 2010-08-23T03:56:02Z 2010-04 Article Journal of Biomedical Science and Engineering, vol. 3(4), April 2010, pages 390-396 1937-6871 http://www.scirp.org/journal/jbise/ http://hdl.handle.net/123456789/8993 en Scientific Research Publishing Inc
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 Discrete wavelet transform
electroencephalogram (EEG)
Human emotions
K Nearest Neighbor (KNN)
Linear Discriminant Analysis (LDA)
Discrete Wavelet Transform (DWT)
spellingShingle Discrete wavelet transform
electroencephalogram (EEG)
Human emotions
K Nearest Neighbor (KNN)
Linear Discriminant Analysis (LDA)
Discrete Wavelet Transform (DWT)
Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob, Prof. Dr.
Classification of human emotion from eeg using discrete wavelet transform
description Link to publisher's homepage at http://www.scirp.org/
format Article
author Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob, Prof. Dr.
author_facet Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob, Prof. Dr.
author_sort Murugappan, M.
title Classification of human emotion from eeg using discrete wavelet transform
title_short Classification of human emotion from eeg using discrete wavelet transform
title_full Classification of human emotion from eeg using discrete wavelet transform
title_fullStr Classification of human emotion from eeg using discrete wavelet transform
title_full_unstemmed Classification of human emotion from eeg using discrete wavelet transform
title_sort classification of human emotion from eeg using discrete wavelet transform
publisher Scientific Research Publishing Inc
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8993
_version_ 1643789370780549120
score 13.235796