A 4D LSTM network for emotion recognition from the cross-correlation of the power spectral density of EEG signals
Author:
Affiliation:
1. University Of L’Aquila,Dept. of DISIM,L’Aquila,Italy
2. University Of L’Aquila,A2VI-Lab c/o Dept. MeSVA,L’Aquila,Italy
3. University of Salerno,Dept. of Computer Science,Fisciano,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10101871/10101874/10101920.pdf?arnumber=10101920
Reference30 articles.
1. Studies of emotion: a theoretical and empirical review of psychophysiological studies of emotion;niemic,2004
2. Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives
3. Functional Neuroanatomy of Emotion: A Meta-Analysis of Emotion Activation Studies in PET and fMRI
4. Emotion representation, analysis and synthesis in continuous space: A survey
5. A fast and scalable framework for automated artifact recognition from EEG signals represented in scalp topographies of Independent Components
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