A Survey on Physiological Signal-Based Emotion Recognition

• Published in: Bioengineering (Basel) Vol. 9; no. 11; p. 688
• Main Authors: Ahmad, Zeeshan, Khan, Naimul
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2022; MDPI
• Subjects: Annotations; Bioengineering; challenges; Classification; Coronaviruses; COVID-19; data annotation; Data processing; data variability; Deep learning; Electrocardiography; Electroencephalography; emotion models; Emotion recognition; Emotions; Feature extraction; Literature reviews; Machine learning; Medical research; Methods; Pandemics; physiological signals; Physiology; review; Signal processing; Workflow; United States

Physiological signals are the most reliable form of signals for emotion recognition, as they cannot be controlled deliberately by the subject. Existing review papers on emotion recognition based on physiological signals surveyed only the regular steps involved in the workflow of emotion recognition...