Physiological signal-based emotion recognition system

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 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 languageEnglish
Title of host publication4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9781538621066
DOIs
Publication statusPublished - Jan 31 2018
Event4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017 - Salmabad, Bahrain
Duration: Nov 29 2017Dec 1 2017

Other

Other4th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2017
Country/TerritoryBahrain
CitySalmabad
Period11/29/1712/1/17

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

Fingerprint

Dive into the research topics of 'Physiological signal-based emotion recognition system'. Together they form a unique fingerprint.

Cite this