Unsupervised emotional state recognition based on clustering of EEG features.
Aleksandra DuraAgnieszka WosiakPublished in: KES (2022)
Keyphrases
- emotional state
- unsupervised learning
- feature extraction
- unsupervised feature selection
- physiological signals
- recognition accuracy
- affect recognition
- clustering method
- self organizing maps
- supervised training
- similarity function
- feature vectors
- object recognition
- clustering algorithm
- social interaction
- supervised learning
- unsupervised manner
- artificial intelligence
- recognition rate
- machine learning
- signal processing
- recognition algorithm
- extracted features
- facial expressions
- unsupervised classification