Thermal imaging based affective state recognition
Human Robot Interaction is a multidisciplinary field which involves developing, perceiving and assessing robotic systems. In effective communication, the understanding of emotions and intentions are essential. A roboticsystem that is capable of recognizing emotion states and...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/47323/ http://irep.iium.edu.my/47323/4/47323.pdf |
| _version_ | 1848783124799946752 |
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| author | Abd Latif, Muhammad Hafiz Md. Yusof, Hazlina Sidek, Shahrul Na'im Rusli, Nazreen |
| author_facet | Abd Latif, Muhammad Hafiz Md. Yusof, Hazlina Sidek, Shahrul Na'im Rusli, Nazreen |
| author_sort | Abd Latif, Muhammad Hafiz |
| building | IIUM Repository |
| collection | Online Access |
| description | Human Robot Interaction is a multidisciplinary
field which involves developing, perceiving and assessing
robotic systems. In effective communication, the understanding
of emotions and intentions are essential. A roboticsystem that is
capable of recognizing emotion states and synthesizing proper
response would be beneficial for Human Robot Interaction
(HRI). Human emotion recognition could be achieved through
affective state computing method. Emotional state assessment of
humans has been traditionally studied using various direct
physiological measures and psychological self-reports. There
are several measures to identify human emotional states such as
gestures, facial images, physiological signals and neuro-imaging
methods. However, some of these approaches require sizeable
and expensive equipment which might hinder free movement.
Recent finding shows that facial cutaneous temperature and its
topographic distribution exhibited specific features clearly
correlated to emotional arousal and associated measures of
standard physiological signals of the sympathetic activity. The
results of this study indicate thermal imaging as an alternative,
contactless and non-invasive method for assessing individual’s
emotional arousal in psychophysiology. |
| first_indexed | 2025-11-14T16:16:22Z |
| format | Proceeding Paper |
| id | iium-47323 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:16:22Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-473232019-01-10T04:59:22Z http://irep.iium.edu.my/47323/ Thermal imaging based affective state recognition Abd Latif, Muhammad Hafiz Md. Yusof, Hazlina Sidek, Shahrul Na'im Rusli, Nazreen TA164 Bioengineering Human Robot Interaction is a multidisciplinary field which involves developing, perceiving and assessing robotic systems. In effective communication, the understanding of emotions and intentions are essential. A roboticsystem that is capable of recognizing emotion states and synthesizing proper response would be beneficial for Human Robot Interaction (HRI). Human emotion recognition could be achieved through affective state computing method. Emotional state assessment of humans has been traditionally studied using various direct physiological measures and psychological self-reports. There are several measures to identify human emotional states such as gestures, facial images, physiological signals and neuro-imaging methods. However, some of these approaches require sizeable and expensive equipment which might hinder free movement. Recent finding shows that facial cutaneous temperature and its topographic distribution exhibited specific features clearly correlated to emotional arousal and associated measures of standard physiological signals of the sympathetic activity. The results of this study indicate thermal imaging as an alternative, contactless and non-invasive method for assessing individual’s emotional arousal in psychophysiology. IEEE 2015 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/47323/4/47323.pdf Abd Latif, Muhammad Hafiz and Md. Yusof, Hazlina and Sidek, Shahrul Na'im and Rusli, Nazreen (2015) Thermal imaging based affective state recognition. In: 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IEEE IRIS20I5), 18th-20th October 2015, Langkawi, Kedah. http://ieeexplore.ieee.org/document/7451614/ 10.1109/IRIS.2015.7451614 |
| spellingShingle | TA164 Bioengineering Abd Latif, Muhammad Hafiz Md. Yusof, Hazlina Sidek, Shahrul Na'im Rusli, Nazreen Thermal imaging based affective state recognition |
| title | Thermal imaging based affective state recognition |
| title_full | Thermal imaging based affective state recognition |
| title_fullStr | Thermal imaging based affective state recognition |
| title_full_unstemmed | Thermal imaging based affective state recognition |
| title_short | Thermal imaging based affective state recognition |
| title_sort | thermal imaging based affective state recognition |
| topic | TA164 Bioengineering |
| url | http://irep.iium.edu.my/47323/ http://irep.iium.edu.my/47323/ http://irep.iium.edu.my/47323/ http://irep.iium.edu.my/47323/4/47323.pdf |