Multimodal Fused Emotion Recognition About Expression-EEG Interaction and Collaboration Using Deep Learning

Multimodal Fused Emotion Recognition About Expression-EEG Interaction and Collaboration Using Deep Learning

The proposed emotion recognition model is based on the hierarchical long-short term memory neural network (LSTM) for video-electroencephalogram (Video-EEG) signal interaction. The inputs are facial-video and EEG signals from the subjects when they are watching the emotion-stimulated video. The outpu...

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Bibliographic Details
Main Authors: Di Wu, Jianpei Zhang, Qingchao Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Emotion recognition
long-short term memory neural network
attention mechanism
multimodal signal fusion
electroencephalogram
time sequence
Online Access:https://ieeexplore.ieee.org/document/9144198/

Internet

https://ieeexplore.ieee.org/document/9144198/

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