STILN: A novel spatial-temporal information learning network for EEG-based emotion recognition
The spatial correlations and temporal contexts are indispensable in Electroencephalogram (EEG)-based emotion recognition. However, the learning of complex spatial correlations among several channels is a challenging problem. Besides, the temporal contexts learning is beneficial to emphasize the crit...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2023
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |