Empirical Evidence Relating EEG Signal Duration to Emotion Classification Performance-Reference-Cited by-同舟云学术

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Empirical Evidence Relating EEG Signal Duration to Emotion Classification Performance

Published:2021-01-01 Issue:1 Volume:12 Page:154-164
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Pereira Eanes Torres^ORCID,Gomes Herman Martins^ORCID,Veloso Luciana Ribeiro^ORCID,Mota Moises Roberto A.^ORCID

Funder

Brazilian National Council for Scientific and Technological Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/9364368/08408525.pdf?arnumber=8408525

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight attention mechanisms for EEG emotion recognition for brain computer interface;Journal of Neuroscience Methods;2024-10

2. An Efficient EEG Signal Analysis for Emotion Recognition Using FPGA;Information;2024-05-24

3. Male and Female Brain Activity During the Screening of a Violent Movie: An EEG Study;Journal of Creative Communications;2024-03-25

4. Exploring Abnormal Brain Functional Connectivity in Healthy Adults, Depressive Disorder, and Generalized Anxiety Disorder through EEG Signals: A Machine Learning Approach for Triple Classification;Brain Sciences;2024-03-01

5. Haptic stimulation during the viewing of a film: an EEG-based study;Multimedia Tools and Applications;2024-01-27

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