Citation
Heng, Yu Ping and Abdullah, Lili Nurliyana and Abdul Halin, Alfian and Sulaiman, Puteri Suhaiza
(2013)
A study of physiological signals-based emotion recognition systems.
International Journal of Computers and Technology, 11 (1).
pp. 2189-2196.
ISSN 2277-3061
Abstract
The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally, these signals can be collected from the cardiovascular system, respiratory system, electrodermal activities, muscular system and brain activities. This paper presents an overview of emotion recognition using physiological signals. The main components of a physiological signals-based emotion recognition system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.
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Official URL or Download Paper: http://ijctonline.com/ojs/index.php/ijct/issue/vie...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| Publisher: | IJCT Foundation |
| Keywords: | Classification; Emotion recognition; Feature extraction; Physiological signals. |
| Depositing User: | Ms. Nida Hidayati Ghazali |
| Date Deposited: | 02 Jun 2014 05:03 |
| Last Modified: | 10 Sep 2015 07:28 |
| URI: | http://psasir.upm.edu.my/id/eprint/30648 |
| Statistic Details: | View Download Statistic |
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