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EEG-based emotion recognition using 4D convolutional recurrent neural network
In this paper, we present a novel method, called four-dimensional convolutional recurrent neural network, which integrating frequency, spatial and temporal information of multichannel EEG signals explicitly to improve EEG-based emotion recognition accuracy. First, to maintain these three kinds of in...
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| Pubblicato in: | Cogn Neurodyn |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer Netherlands
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7568753/ https://ncbi.nlm.nih.gov/pubmed/33101533 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-020-09634-1 |
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