What does this research mean for the field?

Real-time emotion detection can be effectively achieved by integrating electroencephalography, facial expressions, and speech. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to review current methods for detecting emotions in real-time using multiple indicators, such as EEG, facial expressions, and speech.

March 8, 2026International Journal of Biomedical Engineering and Technology0 citations

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

AMAaditi MoreVisvesvaraya National Institute of Technology JSJoydeep SenguptaVisvesvaraya National Institute of Technology

Puntos clave

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

Resumen

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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