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EEG-Based Emotion Classification Using Long Short-Term Memory Network with Attention Mechanism
Recently, studies that analyze emotions based on physiological signals, such as electroencephalogram (EEG), by applying a deep learning algorithm have been actively conducted. However, the study of sequence modeling considering the change of emotional signals over time has not been fully investigate...
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| Publicat a: | Sensors (Basel) |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7727805/ https://ncbi.nlm.nih.gov/pubmed/33255539 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20236727 |
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