Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks

Latent Factor Decoding of Multi-Channel EEG for Emotion Recognition Through Autoencoder-Like Neural Networks

Robust cross-subject emotion recognition based on multichannel EEG has always been hard work. In this work, we hypothesize that there exist default brain variables across subjects in emotional processes. Hence, the states of the latent variables that relate to emotional processing must contribute to...

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Bibliographic Details
Main Authors: Xiang Li, Zhigang Zhao, Dawei Song, Yazhou Zhang, Jingshan Pan, Lu Wu, Jidong Huo, Chunyang Niu, Di Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Neuroscience
Subjects:
latent factor decoding
emotion recognition
EEG
deep learning
variational autoencoder
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00087/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2020.00087/full

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