Physiological signal-based emotion recognition system

Saif Hassani; Ibrahim Bafadel; Abdelrahman Bekhatro; Ebraheim Al Blooshi; Soha Ahmed; Mahmoud Alahmad

doi:10.1109/ICETAS.2017.8277912

Physiological signal-based emotion recognition system

Saif Hassani, Ibrahim Bafadel, Abdelrahman Bekhatro, Ebraheim Al Blooshi, Soha Ahmed, Mahmoud Alahmad

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

11 Citations (Scopus)

Abstract

The design specification and software implementation of a physiological signal-based user-independent emotion recognition system is proposed. The system will have various valuable applications in medicine, computing, education and security domain. Unfortunately, there are many challenges that must be overcome and addressed and this what make the contribution in this field valuable and much needed. The proposed system should operate as a user-independent system, based on physiological signal databases attained from several subjects. Various physiological signals were obtained and measured such as electrocardiogram (ECG), skin temperature, galvanic skin response (GSR), Electromyography (EMG), heart rate (HR), respiration rate (RR), saturation of oxygen in the blood (SPO₂), Systolic blood pressure(SBP), and diastolic blood pressure(DBP). To construct the proposed system, the acquired signals went through preprocessing, feature extraction and statistical analysis. A subset of features was selected to be incorporated in the final system due to several technical limitations and design constraint. Using statistical analysis, the system was able to recognize emotion on three basic emotional states namely: anger, joy, and neutral.

Original language	English
Title of host publication	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
Volume	2018-January
ISBN (Electronic)	9781538621066
DOIs	https://doi.org/10.1109/ICETAS.2017.8277912
Publication status	Published - Jan 31 2018
Event	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain Duration: Nov 29 2017 → Dec 1 2017

Other

Other	4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/Territory	Bahrain
City	Salmabad
Period	11/29/17 → 12/1/17

Keywords

Autonomous nervous system
Emotion recognition
Physiological signal acquisition
Statistical analysis

ASJC Scopus subject areas

Education
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems
Electrical and Electronic Engineering
Mechanical Engineering

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10.1109/ICETAS.2017.8277912

Cite this

Hassani, S., Bafadel, I., Bekhatro, A., Al Blooshi, E., Ahmed, S., & Alahmad, M. (2018). Physiological signal-based emotion recognition system. In 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 (Vol. 2018-January, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICETAS.2017.8277912

Physiological signal-based emotion recognition system. / Hassani, Saif; Bafadel, Ibrahim; Bekhatro, Abdelrahman et al.
4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-5.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hassani, S, Bafadel, I, Bekhatro, A, Al Blooshi, E, Ahmed, S & Alahmad, M 2018, Physiological signal-based emotion recognition system. in 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017, Salmabad, Bahrain, 11/29/17. https://doi.org/10.1109/ICETAS.2017.8277912

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AB - The design specification and software implementation of a physiological signal-based user-independent emotion recognition system is proposed. The system will have various valuable applications in medicine, computing, education and security domain. Unfortunately, there are many challenges that must be overcome and addressed and this what make the contribution in this field valuable and much needed. The proposed system should operate as a user-independent system, based on physiological signal databases attained from several subjects. Various physiological signals were obtained and measured such as electrocardiogram (ECG), skin temperature, galvanic skin response (GSR), Electromyography (EMG), heart rate (HR), respiration rate (RR), saturation of oxygen in the blood (SPO2), Systolic blood pressure(SBP), and diastolic blood pressure(DBP). To construct the proposed system, the acquired signals went through preprocessing, feature extraction and statistical analysis. A subset of features was selected to be incorporated in the final system due to several technical limitations and design constraint. Using statistical analysis, the system was able to recognize emotion on three basic emotional states namely: anger, joy, and neutral.

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Physiological signal-based emotion recognition system

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Keywords

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