Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting-Reference-Cited by-同舟云学术

Leveraging Sparse Coding for EEG Based Emotion Recognition in Shooting

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Wang Yulu¹,Sun Yiwen¹,Fang Lei²,Zhang Changshui¹

Affiliation:

1. Tsinghua University,Institute for Artificial Intelligence, Tsinghua University (THUAI), State Key Lab of Intelligent Technologies and Systems. Beijing National Research Center for Information Science and Technology (BNRist),Department of Automation,Beijing,P.R.China

2. DataCanvas Technology Co., Ltd.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747506.pdf?arnumber=9747506

Reference22 articles.

1. EEG-based emotion recognition using simple recurrent units network and ensemble learning

2. Eeg emotion recognition using dynamical graph convolutional neural networks and broad learning system;wang;2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),2019

3. The brain basis of emotion: A meta-analytic review

4. Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization;donoho;Proceedings of the National Academy of Sciences,2003

5. Learning fast approximations of sparse coding;gregor;Proceedings of the 27th International Conference on International Conference on Machine Learning,2010

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