Emotion Recognition from Multiband EEG Signals Using CapsNet

Emotion Recognition from Multiband EEG Signals Using CapsNet

Emotion recognition based on multi-channel electroencephalograph (EEG) signals is becoming increasingly attractive. However, the conventional methods ignore the spatial characteristics of EEG signals, which also contain salient information related to emotion states. In this paper, a deep learning fr...

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Bibliographic Details
Main Authors:	Hao Chao, Liang Dong, Yongli Liu, Baoyun Lu
Format:	Article
Language:	English
Published:	MDPI AG 2019-05-01
Series:	Sensors
Subjects:	EEG signal feature extraction multiband feature matrix deep learning CapsNet emotion recognition
Online Access:	https://www.mdpi.com/1424-8220/19/9/2212

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