Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition

Recently, emotional electroencephalography (EEG) has been of great importance in brain–computer interfaces, and it is more urgent to realize automatic emotion recognition. The EEG signal has the disadvantages of being non-smooth, non-linear, stochastic, and susceptible to background noise. Additiona...

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Principais autores:	Qi Li, Yunqing Liu, Yujie Shang, Qiong Zhang, Fei Yan
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2022-08-01
叢編:	Entropy
主題:	EEG emotion recognition deep sparse autoencoder CNN LSTM
在線閱讀:	https://www.mdpi.com/1099-4300/24/9/1187
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