Kumoh National Institute of Technology
ML-based Emotion-aware Voice User Interface
Multimodal Emotion Recognition
Emotion recognition combining EEG, voice, and camera inputs.
Project overview
Multimodal emotion recognition system combining EEG signals, voice analysis, and facial expression recognition. Features real-time emotion detection with edge-cloud processing architecture.
Technical highlights
- EEG, voice, and camera data fusion
- Real-time emotion detection
- Edge-cloud processing architecture
- Multimodal machine learning approach
Outcome
Advanced emotion recognition research
Project resources
This page summarizes the project. A public demo or source repository is not available here.