EEG analysis for understanding stress based on affective model basis function

EEG analysis for understanding stress based on affective model basis function

Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals wer...

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Main Authors: Rahnuma , Kazi Shahzabeen, Abdul Rahman, Abdul Wahab, Kamaruddin, Norhaslinda, Abdul Majid, Hariyati Shahrima
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
QA75 Electronic computers. Computer science
T Technology (General)
Online Access:http://irep.iium.edu.my/9638/
http://irep.iium.edu.my/9638/
http://irep.iium.edu.my/9638/1/9638.pdf
id iium-9638
recordtype eprints
spelling iium-96382013-05-13T04:59:22Z http://irep.iium.edu.my/9638/ EEG analysis for understanding stress based on affective model basis function Rahnuma , Kazi Shahzabeen Abdul Rahman, Abdul Wahab Kamaruddin, Norhaslinda Abdul Majid, Hariyati Shahrima QA75 Electronic computers. Computer science T Technology (General) Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals were captured from the scalp of the brain and measured in responds to various stimuli from the four basic emotions to stimulating stress base on the IAPS emotion stimuli. Features from the EEG signals were extracted using the Kernel Density Estimation (KDE) and classified using the Multilayer Perceptron (MLP), a neural network classifier to obtain accuracy of the subject’s emotion leading to stress. Results have shown the potential of using the basic emotion basis function to visualize the stress perception as an alternative tool for engineers and psychologist. Keywords: Electroencephalography (EEG), Kernel Density Estimation (KDE), Multi-layer Perceptron (MLP), Valance (V), Arousal (A) 2011-06-14 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/9638/1/9638.pdf Rahnuma , Kazi Shahzabeen and Abdul Rahman, Abdul Wahab and Kamaruddin, Norhaslinda and Abdul Majid, Hariyati Shahrima (2011) EEG analysis for understanding stress based on affective model basis function. In: 2011 IEEE 15th International Symposium on Consumer Electronics, 14-17 June 2011, Singapore. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5973899&tag=1
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
T Technology (General)
spellingShingle QA75 Electronic computers. Computer science
T Technology (General)
Rahnuma , Kazi Shahzabeen
Abdul Rahman, Abdul Wahab
Kamaruddin, Norhaslinda
Abdul Majid, Hariyati Shahrima
EEG analysis for understanding stress based on affective model basis function
description Coping with stress has shown to be able to avoid many complications in medical condition. In this paper we present an alternative method in analyzing and understanding stress using the four basic emotions of happy, calm, sad and fear as our basis function. Electroencephalogram (EEG) signals were captured from the scalp of the brain and measured in responds to various stimuli from the four basic emotions to stimulating stress base on the IAPS emotion stimuli. Features from the EEG signals were extracted using the Kernel Density Estimation (KDE) and classified using the Multilayer Perceptron (MLP), a neural network classifier to obtain accuracy of the subject’s emotion leading to stress. Results have shown the potential of using the basic emotion basis function to visualize the stress perception as an alternative tool for engineers and psychologist. Keywords: Electroencephalography (EEG), Kernel Density Estimation (KDE), Multi-layer Perceptron (MLP), Valance (V), Arousal (A)
format Conference or Workshop Item
author Rahnuma , Kazi Shahzabeen
Abdul Rahman, Abdul Wahab
Kamaruddin, Norhaslinda
Abdul Majid, Hariyati Shahrima
author_facet Rahnuma , Kazi Shahzabeen
Abdul Rahman, Abdul Wahab
Kamaruddin, Norhaslinda
Abdul Majid, Hariyati Shahrima
author_sort Rahnuma , Kazi Shahzabeen
title EEG analysis for understanding stress based on affective model basis function
title_short EEG analysis for understanding stress based on affective model basis function
title_full EEG analysis for understanding stress based on affective model basis function
title_fullStr EEG analysis for understanding stress based on affective model basis function
title_full_unstemmed EEG analysis for understanding stress based on affective model basis function
title_sort eeg analysis for understanding stress based on affective model basis function
publishDate 2011
url http://irep.iium.edu.my/9638/
http://irep.iium.edu.my/9638/
http://irep.iium.edu.my/9638/1/9638.pdf
first_indexed 2023-09-18T20:19:16Z
last_indexed 2023-09-18T20:19:16Z
_version_ 1777407996600516608

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