Using Unsupervised Anomaly Detection to Analyze Physiological Signals for Emotion Recognition.
Gabriel A. PopoolaCorey A. GravesPhyllis Ford-BookerPublished in: ISSPIT (2018)
Keyphrases
- emotion recognition
- physiological signals
- audio visual
- human computer interaction
- facial expressions
- information fusion
- anomaly detection
- heart rate
- daily life
- facial images
- sentiment analysis
- human subjects
- visual information
- emotional state
- computer vision
- machine learning
- activity recognition
- intelligent agents
- intrusion detection