Citation

Sayed Ismail, Sharifah Noor Masidayu and Ab Aziz, Nor Azlina and Ibrahim, Siti Zainab and Mohamad, Mohd Saberi (2024) A systematic review of emotion recognition using cardio-based signals. ICT Express, 10 (1). pp. 156-183. ISSN 2405-9595

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Abstract

There is a growing demand for emotion recognition systems (ERS) to be adopted in everyday life from various fields, particularly automotive, education, and social security. Recently, the use of cardio-based physiological signals, electrocardiogram (ECG), and photoplethysmogram (PPG) in ERS has yielded promising results. Furthermore, the development of wearable devices equipped with cardio-based physiological sensors has significantly aided towards the adoption of ERS in daily life. This paper systematically reviews emotion recognition using cardio-based physiological signals, encompassing emotion models, emotion elicitation methods, and ERS development methods, emphasizing feature extraction, feature selection methods, feature dimension reduction methods, and classifiers. A summary and comparison of recent studies are presented to highlight existing studies’ gaps and suggest future research for better ERS especially using cardio-based signals.

Item Type:	Article
Uncontrolled Keywords:	Emotion recognition system, Electrocardiogram, Photoplethysmogram, Features extraction, Machine learning, Artificial intelligence
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	05 Oct 2023 04:25
Last Modified:	01 Mar 2024 16:39
URII:	http://shdl.mmu.edu.my/id/eprint/11735

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