Thermal imaging based affective state recognition

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Other)
Additional Information:	4487/47323
Uncontrolled Keywords:	thermal imaging, state recognition
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Shahrul Naim Sidek
Date Deposited:	16 Mar 2017 10:58
Last Modified:	10 Jan 2019 12:59
URI:	http://irep.iium.edu.my/id/eprint/47323

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