A Review of Emotion Recognition Using Physiological Signals

Area of Science:

• Physiological computing
• Affective computing
• Biomedical signal processing

Background:

• Emotion recognition using physiological signals is a significant area of research.
• Applications span safe driving, healthcare, and social security.
• Advancements require a comprehensive understanding of existing methodologies.

Purpose of the Study:

• To provide a comprehensive review of physiological signal-based emotion recognition.
• To cover key aspects including emotion models, elicitation, datasets, features, and classifiers.
• To identify current challenges and suggest future research directions.

Main Methods:

• Systematic literature review of physiological signal-based emotion recognition studies.
• Analysis of emotion models, elicitation techniques, and available datasets.
• Examination of feature extraction and classification methods.
• Discussion of the overall framework for emotion recognition.

Main Results:

• A detailed overview of the current landscape of physiological signal-based emotion recognition.
• Comparison and summary of recent studies in the field.
• Identification of existing problems and limitations in current research.

Conclusions:

• Physiological signal-based emotion recognition is a rapidly developing field with broad applications.
• Further research is needed to address identified challenges and advance the technology.
• This review serves as a valuable resource for researchers and practitioners.