STAFNet: an adaptive multi-feature learning network via spatiotemporal fusion for EEG-based emotion recognition

IntroductionEmotion recognition using electroencephalography (EEG) is a key aspect of brain-computer interface research. Achieving precision requires effectively extracting and integrating both spatial and temporal features. However, many studies focus on a single dimension, neglecting the interplay...

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書誌詳細

出版年:	Frontiers in Neuroscience
主要な著者:	Fo Hu, Kailun He, Mengyuan Qian, Xiaofeng Liu, Zukang Qiao, Lekai Zhang, Junlong Xiong
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2024-12-01
主題:	EEG emotion recognition deep learning spatiotemporal fusion adaptive adjacency matrix
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1519970/full