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...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/47323/4/47323.pdf http://irep.iium.edu.my/47323/ http://ieeexplore.ieee.org/document/7451614/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | 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. |
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