SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG

EEG-based automatic emotion recognition can help brain-inspired robots in improving their interactions with humans. This paper presents a novel framework for emotion recognition using multi-channel electroencephalogram (EEG). The framework consists of a linear EEG mixing model and an emotion timing...

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Bibliographic Details
Main Authors: Xiaofen Xing, Zhenqi Li, Tianyuan Xu, Lin Shu, Bin Hu, Xiangmin Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-06-01
Series:Frontiers in Neurorobotics
Subjects:
EEG
emotion recognition
neural network
Stack AutoEncoder
LSTM
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2019.00037/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2019.00037/full

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