March 14, 2024, 4:43 a.m. | Yi Ding, Su Zhang, Chuangao Tang, Cuntai Guan

cs.LG updates on

arXiv:2308.16207v2 Announce Type: replace
Abstract: Emotion recognition using electroencephalogram (EEG) mainly has two scenarios: classification of the discrete labels and regression of the continuously tagged labels. Although many algorithms were proposed for classification tasks, there are only a few methods for regression tasks. For emotion regression, the label is continuous in time. A natural method is to learn the temporal dynamic patterns. In previous studies, long short-term memory (LSTM) and temporal convolutional neural networks (TCN) were utilized to learn the …

anchor arxiv continuous convolutional neural networks cs.lg eeg emotion networks neural networks recognition space temporal type

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