Emotion Classification from Short-term EEG Signals in Deep Learning
Author:
Affiliation:
1. Academy for Eng. & Tech., Fudan University,Shanghai,China
Funder
Science and Technology Commission of Shanghai Municipality
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9804416/9804404/09804441.pdf?arnumber=9804441
Reference18 articles.
1. A Novel Approach for Gait Recognition Based on CC-LSTM-CNN Method
2. Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset
3. Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search
4. Empirical Evidence Relating EEG Signal Duration to Emotion Classification Performance
5. Identifying Stable Patterns over Time for Emotion Recognition from EEG
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1. Emotion Detection from Electroencephalography Signals Using String Grammar K-Nearest Neighbors;2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2024-05-27
2. Emotion recognition based on phase-locking value brain functional network and topological data analysis;Neural Computing and Applications;2024-02-23
3. Investigating the Effect of EEG Channel Location on Emotion Classification using EEG Signal;2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP);2023-12-01
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