An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection
Abstract Emotion is an integral part of human cognitive processes and behaviors. Automatic detection and classification of human emotion has been a goal of applied research. This study presents an approach to detecting emotion from multivariate electroencephalogram (EEG) with signal processing metho...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-08-01
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| Series: | Brain Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40708-025-00265-y |
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