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Kumoh National Institute of Technology

ML-based Emotion-aware Voice User Interface

Multimodal Emotion Recognition

Emotion recognition combining EEG, voice, and camera inputs.

  • Machine Learning
  • Data Fusion
  • Emotion Recognition
  • EEG
  • Voice Analysis
ML-based Emotion-aware Voice User Interface — conceptual technical overview
Conceptual overview based on the project description; not a production infrastructure diagram.

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.

Discuss this project
ML-based Emotion-aware Voice User Interface | EJ Caliwag