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Multimodal Emotion Recognition Thesis by Chintan Chatterjee is a document available to read on EtoBox.
What is Multimodal Emotion Recognition Thesis about?
This thesis by Vala Jaykumar Manharbhai focuses on multimodal emotion recognition using deep learning networks and fusion techniques, integrating video, EEG, and physiological signals. The research introduces a novel Bat-Rider Optimization Algorithm to enhance model performance, achieving a state-of-the-art accuracy of 0.9356 on the DEAP dataset. The findings contribute to applications in affective computing, human-robot interaction, and mental health monitoring.
- Author
- Chintan Chatterjee
- Language
- EN