Title: A narrative review on the characterisation of automated human emotion detection systems using biomedical sensors and machine intelligence

Authors: Stobak Dutta; Brojo Kishore Mishra; Anirban Mitra; Amartya Chakraborty

Addresses: Department of Computer Science and Engineering, GIET University, Odisha, India ' Department of Computer Science and Engineering, GIET University, Odisha, India ' Department of Computer Science and Engineering, Amity University, Kolkata, India ' Department of Computer Science and Engineering, University of Engineering and Management, Kolkata, India

Abstract: In our day-to-day life, emotion plays an essential role in decision-making and human interaction. For many years, psychologists have been trying to develop many emotional models to explain the human emotional or affective states. Automated emotion recognition is a popular research problem increasingly utilised in marketing, education, health sector, and human-robot interaction. There are different ways of emotion recognition, namely uni-modal and multi-modal solutions. However, it depends upon the purpose for which it is to be used. The primary focus of this paper is to provide a detailed review of the existing literature in this domain with the help of three verticals. Initially, the standard databases used for elicitation of human emotions are discussed in brief. Next, the different sensing approaches used to gather physiological signals are discussed. Finally, a thorough review of the state-of-the-art is given, with reference to the emotional states from the circumplex model of valence-arousal plane.

Keywords: human emotions; emotion perception; electroencephalography; EEG; galvanic skin response; GSR; electromyographic signal; EMG; skin temperature measurements; SKT; respiration rate; RR; electrocardiography; ECG; photoplethysmogram; PPG; valence-arousal plane.

DOI: 10.1504/IJRIS.2023.136360

International Journal of Reasoning-based Intelligent Systems, 2023 Vol.15 No.3/4, pp.266 - 276

Received: 21 Dec 2021
Accepted: 23 Oct 2022
Published online: 31 Jan 2024 *

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