Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals

Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals

Emotion recognition is a very important technique for ultimate interactions between human beings and artificial intelligence systems. For effective emotion recognition in a continuous-time domain, this article presents a multimodal fusion network which integrates video modality and electroencephalog...

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Bibliographic Details
Main Authors: Dong Yoon Choi, Deok-Hwan Kim, Byung Cheol Song
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Emotion recognition
video
EEG
multimodality
multimodal fusion
attention
Online Access:https://ieeexplore.ieee.org/document/9252925/

Internet

https://ieeexplore.ieee.org/document/9252925/

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