A Study of Physiological Signals-based Emotion Recognition Systems

Authors

  • Heng Yu Ping Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan
  • Lili Nurliyana Abdullah Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan
  • Alfian Abdul Halin Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan
  • Puteri Suhaiza Sulaiman Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan

DOI:

https://doi.org/10.24297/ijct.v11i1.1190

Keywords:

Classification, Emotion Recognition, Feature Extraction, Physiological Signals

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 recognirion system are explained, including discussion regarding the concepts and problems about the various stages involved in its framework.

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Author Biographies

Heng Yu Ping, Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan

Faculty of Computer Science and Information Technology

Lili Nurliyana Abdullah, Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan

Faculty of Computer Science and Information Technology

Alfian Abdul Halin, Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan

Faculty of Computer Science and Information Technology

Puteri Suhaiza Sulaiman, Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan

Faculty of Computer Science and Information Technology

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Published

2013-10-25

How to Cite

Ping, H. Y., Abdullah, L. N., Halin, A. A., & Sulaiman, P. S. (2013). A Study of Physiological Signals-based Emotion Recognition Systems. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 11(1), 2189–2196. https://doi.org/10.24297/ijct.v11i1.1190

Issue

Section

Research Articles