Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder

Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder

Emotion recognition is of great significance to computational intelligence systems. In order to improve the accuracy of emotion recognition, electroencephalogram (EEG) signals and external physiological (EP) signals are adopted due to their perfect performance in reflecting the slight variations of...

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Bibliographic Details
Main Authors:	Jian Zhou, Xianwei Wei, Chunling Cheng, Qidong Yang, Qun Li
Format:	Article
Language:	English
Published:	Springer 2019-02-01
Series:	International Journal of Computational Intelligence Systems
Subjects:	Emotion recognition Convolutional auto-encoder Fully connected neural network EEG signals EP signals
Online Access:	https://www.atlantis-press.com/article/125905651/view

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