Real-Time Emotion Detection From Integrating Electroencephalography, Facial Expressions, and Speech : Review

Key Points

• The aim is to review current methods for detecting emotions in real-time using multiple indicators, such as EEG, facial expressions, and speech.
• Literature review of existing emotion detection technologies
• Analysis of integration techniques for EEG, facial expressions, and speech
• Evaluation of applications in various fields
• Identifies effective methods for emotion detection
• Highlights the importance of multi-modal approaches
• Suggests future research directions in emotion recognition technology

Abstract