Analyzing brain activity in understanding cultural and language interaction for depression and anxiety

Human brain has always been considered as a black box and is the source of all emotions. Analyzing cultural and language role through human emotion by looking at the brain activity can thus help us understand depression and stress better. This paper focuses on understanding and analyzing undergrad...

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Main Authors:	Kazi Shahzabeen, Rahnuma, Abdul Rahman, Abdul Wahab, Abd. Majid, Hariyati Shahrima, Björn, Crüts
Format:	Article
Language:	English
Published:	Elsevier 2011
Subjects:	BF180 Experimental psychology QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/1/Analyzing_brain_activity_in_understanding_cultural_and_language_interaction_for_depression_and_anxiety.pdf

id	iium-21775
recordtype	eprints
spelling	iium-217752012-05-13T14:53:15Z http://irep.iium.edu.my/21775/ Analyzing brain activity in understanding cultural and language interaction for depression and anxiety Kazi Shahzabeen, Rahnuma Abdul Rahman, Abdul Wahab Abd. Majid, Hariyati Shahrima Björn, Crüts BF180 Experimental psychology QA75 Electronic computers. Computer science Human brain has always been considered as a black box and is the source of all emotions. Analyzing cultural and language role through human emotion by looking at the brain activity can thus help us understand depression and stress better. This paper focuses on understanding and analyzing undergraduate students’ emotions with different background and culture after completing their semester final examination. Brain wave signals were captured using EEG device and analyzed through proposing an affective computation model. EEG signal was collected from 8 healthy subjects from different states of Malaysia with different dialects where each subject was emotionally induced with audio and video emotion stimuli using the International Affective Pictures and System (IAPS). Features were extracted from the captured EEG signals using Kernel Density Estimation (KDE), which was then categorized into four basic emotions of happy, calm, sad and fear using the Multi-layer Perceptron (MLP). Results of the study show potential of using such analysis in understanding stress, anxiety and depression. Elsevier 2011-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/21775/1/Analyzing_brain_activity_in_understanding_cultural_and_language_interaction_for_depression_and_anxiety.pdf Kazi Shahzabeen, Rahnuma and Abdul Rahman, Abdul Wahab and Abd. Majid, Hariyati Shahrima and Björn, Crüts (2011) Analyzing brain activity in understanding cultural and language interaction for depression and anxiety. Procedia Social and Behavioral Sciences, 27. pp. 299-305. ISSN 1877-0428 http://www.sciencedirect.com/science/article/pii/S1877042811024384 http://dx.doi.org/10.1016/j.sbspro.2011.10.611
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	BF180 Experimental psychology QA75 Electronic computers. Computer science
spellingShingle	BF180 Experimental psychology QA75 Electronic computers. Computer science Kazi Shahzabeen, Rahnuma Abdul Rahman, Abdul Wahab Abd. Majid, Hariyati Shahrima Björn, Crüts Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
description	Human brain has always been considered as a black box and is the source of all emotions. Analyzing cultural and language role through human emotion by looking at the brain activity can thus help us understand depression and stress better. This paper focuses on understanding and analyzing undergraduate students’ emotions with different background and culture after completing their semester final examination. Brain wave signals were captured using EEG device and analyzed through proposing an affective computation model. EEG signal was collected from 8 healthy subjects from different states of Malaysia with different dialects where each subject was emotionally induced with audio and video emotion stimuli using the International Affective Pictures and System (IAPS). Features were extracted from the captured EEG signals using Kernel Density Estimation (KDE), which was then categorized into four basic emotions of happy, calm, sad and fear using the Multi-layer Perceptron (MLP). Results of the study show potential of using such analysis in understanding stress, anxiety and depression.
format	Article
author	Kazi Shahzabeen, Rahnuma Abdul Rahman, Abdul Wahab Abd. Majid, Hariyati Shahrima Björn, Crüts
author_facet	Kazi Shahzabeen, Rahnuma Abdul Rahman, Abdul Wahab Abd. Majid, Hariyati Shahrima Björn, Crüts
author_sort	Kazi Shahzabeen, Rahnuma
title	Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
title_short	Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
title_full	Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
title_fullStr	Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
title_full_unstemmed	Analyzing brain activity in understanding cultural and language interaction for depression and anxiety
title_sort	analyzing brain activity in understanding cultural and language interaction for depression and anxiety
publisher	Elsevier
publishDate	2011
url	http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/ http://irep.iium.edu.my/21775/1/Analyzing_brain_activity_in_understanding_cultural_and_language_interaction_for_depression_and_anxiety.pdf
first_indexed	2023-09-18T20:33:13Z
last_indexed	2023-09-18T20:33:13Z
_version_	1777408874657087488

Analyzing brain activity in understanding cultural and language interaction for depression and anxiety

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