Human behavior state profile mapping based on recalibrated speech affective space model

People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ens...

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Main Authors:	Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/29075/ http://irep.iium.edu.my/29075/ http://irep.iium.edu.my/29075/1/Human_Behavior_State_Profile_Mapping_Based_on_Recalibrated.pdf

id	iium-29075
recordtype	eprints
spelling	iium-290752013-02-15T08:29:20Z http://irep.iium.edu.my/29075/ Human behavior state profile mapping based on recalibrated speech affective space model Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ensuring the complete understanding of one's holistic health. In this paper, we attempt to map human behavior state (HBS) profiles onto recalibrated speech affective space model (rSASM). Such an approach is derived from hypotheses that: 1) Behavior is influenced by emotion, 2) Emotion can be quantified through speech, 3) Emotion is dynamic and changes over time and 4) the emotion conveyance is conditioned by culture. Empirical results illustrated that the proposed approach can complement other types of behavior analysis in such a way that it offers more explanatory components from the perspective of emotion primitives (valence and arousal). Four different driving HBS; namely: distracted, laughing, sleepy and normal are profiled onto the rSASM to visualize the correlation between HBS and emotion. This approach can be incorporated in the future behavior analysis to envisage better performance. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/29075/1/Human_Behavior_State_Profile_Mapping_Based_on_Recalibrated.pdf Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab (2012) Human behavior state profile mapping based on recalibrated speech affective space model. In: 34th Annual International Conference of the IEEE EMBS, 28 August - 1 September, 2012, San Diego, California USA. http://www.ncbi.nlm.nih.gov/pubmed/23366315
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
spellingShingle	QA75 Electronic computers. Computer science Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab Human behavior state profile mapping based on recalibrated speech affective space model
description	People typically associate health with only physical health. However, health is also interconnected to mental and emotional health. People who are emotionally healthy are in control of their behaviors and experience better quality of life. Hence, understanding human behavior is very important in ensuring the complete understanding of one's holistic health. In this paper, we attempt to map human behavior state (HBS) profiles onto recalibrated speech affective space model (rSASM). Such an approach is derived from hypotheses that: 1) Behavior is influenced by emotion, 2) Emotion can be quantified through speech, 3) Emotion is dynamic and changes over time and 4) the emotion conveyance is conditioned by culture. Empirical results illustrated that the proposed approach can complement other types of behavior analysis in such a way that it offers more explanatory components from the perspective of emotion primitives (valence and arousal). Four different driving HBS; namely: distracted, laughing, sleepy and normal are profiled onto the rSASM to visualize the correlation between HBS and emotion. This approach can be incorporated in the future behavior analysis to envisage better performance.
format	Conference or Workshop Item
author	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_facet	Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab
author_sort	Kamaruddin, Norhaslinda
title	Human behavior state profile mapping based on recalibrated speech affective space model
title_short	Human behavior state profile mapping based on recalibrated speech affective space model
title_full	Human behavior state profile mapping based on recalibrated speech affective space model
title_fullStr	Human behavior state profile mapping based on recalibrated speech affective space model
title_full_unstemmed	Human behavior state profile mapping based on recalibrated speech affective space model
title_sort	human behavior state profile mapping based on recalibrated speech affective space model
publishDate	2012
url	http://irep.iium.edu.my/29075/ http://irep.iium.edu.my/29075/ http://irep.iium.edu.my/29075/1/Human_Behavior_State_Profile_Mapping_Based_on_Recalibrated.pdf
first_indexed	2023-09-18T20:42:41Z
last_indexed	2023-09-18T20:42:41Z
_version_	1777409470146543616

Human behavior state profile mapping based on recalibrated speech affective space model

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