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CNN and LSTM-Based Emotion Charting Using Physiological Signals
Novel trends in affective computing are based on reliable sources of physiological signals such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin Response (GSR). The use of these signals provides challenges of performance improvement within a broader set of emotion classes in...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7472085/ https://ncbi.nlm.nih.gov/pubmed/32823807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164551 |
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