S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram.
Abgeena AbgeenaShruti GargPublished in: Health Inf. Sci. Syst. (2023)
Keyphrases
- deep learning
- emotion recognition
- unsupervised feature learning
- emotional speech
- emotion classification
- machine learning
- feature vectors
- feature extraction
- feature set
- unsupervised learning
- human computer interaction
- audio visual
- low level
- image sequences
- co occurrence
- multi modal
- natural images
- emotional state
- weakly supervised
- data sets