Non-invasive, non-contact based affective state identification

This paper discusses a study on detecting affective states of human subjects from their body’s electromagnetic (EM) wave. In particular, the affective states under investigation are happy, nervous, and sad which play important roles in Human-Robot Interaction (HRI)applications. A structured experi...

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Main Authors: Ghazali, Aimi Shazwani, Sidek, Shahrul Na'im
Format: Conference or Workshop Item
Language:English
English
Published: 2014
Subjects:
Online Access:http://irep.iium.edu.my/38242/
http://irep.iium.edu.my/38242/
http://irep.iium.edu.my/38242/1/ISCAIE2014_official_paper.pdf
http://irep.iium.edu.my/38242/4/38242_Non-invasive%2C%20non-contact%20based%20affective%20state_Scopus.pdf
id iium-38242
recordtype eprints
spelling iium-382422019-01-10T05:02:24Z http://irep.iium.edu.my/38242/ Non-invasive, non-contact based affective state identification Ghazali, Aimi Shazwani Sidek, Shahrul Na'im TA164 Bioengineering This paper discusses a study on detecting affective states of human subjects from their body’s electromagnetic (EM) wave. In particular, the affective states under investigation are happy, nervous, and sad which play important roles in Human-Robot Interaction (HRI)applications. A structured experimental setup was designed to invoke the desired affective states. These states are induced by exposing the subject to a specific set of audiovisual stimulations upon which the EM waves are captured from ten different regions of the subject’s body by using a handheld device called Resonant Field Imaging (RFITM). Nine subjects are randomly chosen and the collected data are then preprocessed and trained by Bayesian Network (BN) to map the EM wave to the corresponding affective states. Preliminary results demonstrate the ability of the BN to predict human affective state with 80.6% precision, and 90% accuracy. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38242/1/ISCAIE2014_official_paper.pdf application/pdf en http://irep.iium.edu.my/38242/4/38242_Non-invasive%2C%20non-contact%20based%20affective%20state_Scopus.pdf Ghazali, Aimi Shazwani and Sidek, Shahrul Na'im (2014) Non-invasive, non-contact based affective state identification. In: 2014 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 7-8 Apr. 2014, Penang, Malaysia. http://myies.org/iscaie2014/index.php/contact-us/2-uncategorised
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TA164 Bioengineering
spellingShingle TA164 Bioengineering
Ghazali, Aimi Shazwani
Sidek, Shahrul Na'im
Non-invasive, non-contact based affective state identification
description This paper discusses a study on detecting affective states of human subjects from their body’s electromagnetic (EM) wave. In particular, the affective states under investigation are happy, nervous, and sad which play important roles in Human-Robot Interaction (HRI)applications. A structured experimental setup was designed to invoke the desired affective states. These states are induced by exposing the subject to a specific set of audiovisual stimulations upon which the EM waves are captured from ten different regions of the subject’s body by using a handheld device called Resonant Field Imaging (RFITM). Nine subjects are randomly chosen and the collected data are then preprocessed and trained by Bayesian Network (BN) to map the EM wave to the corresponding affective states. Preliminary results demonstrate the ability of the BN to predict human affective state with 80.6% precision, and 90% accuracy.
format Conference or Workshop Item
author Ghazali, Aimi Shazwani
Sidek, Shahrul Na'im
author_facet Ghazali, Aimi Shazwani
Sidek, Shahrul Na'im
author_sort Ghazali, Aimi Shazwani
title Non-invasive, non-contact based affective state identification
title_short Non-invasive, non-contact based affective state identification
title_full Non-invasive, non-contact based affective state identification
title_fullStr Non-invasive, non-contact based affective state identification
title_full_unstemmed Non-invasive, non-contact based affective state identification
title_sort non-invasive, non-contact based affective state identification
publishDate 2014
url http://irep.iium.edu.my/38242/
http://irep.iium.edu.my/38242/
http://irep.iium.edu.my/38242/1/ISCAIE2014_official_paper.pdf
http://irep.iium.edu.my/38242/4/38242_Non-invasive%2C%20non-contact%20based%20affective%20state_Scopus.pdf
first_indexed 2023-09-18T20:54:55Z
last_indexed 2023-09-18T20:54:55Z
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