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Two-Level Domain Adaptation Neural Network for EEG-Based Emotion Recognition
Emotion recognition plays an important part in human-computer interaction (HCI). Currently, the main challenge in electroencephalogram (EEG)-based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose...
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| Pubblicato in: | Front Hum Neurosci |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7854906/ https://ncbi.nlm.nih.gov/pubmed/33551775 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2020.605246 |
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