EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition-Reference-Cited by-同舟云学术

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EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition

Published:2024-09-13 Issue: Volume: Page:
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Yao Ni,Su Haitao,Li Duan,Nan Jiaofen,Xia Yongquan,Meng Yinghui,Han Chuang,Zhu Fubao

Funder

Henan Provincial Science and Technology Research Project,China

Henan Provincial Science and Technology Research Project

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-024-03550-1.pdf

Reference57 articles.

1. Picard, R.W., Vyzas, E., Healey, J.: Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans. Pattern Anal. Mach. Intell. 23(10), 1175–1191 (2001)

2. Cowie, R., et al.: Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18(1), 32–80 (2001)

3. Zheng, W.: Multichannel EEG-based emotion recognition via group sparse canonical correlation analysis. IEEE Trans. Cognitive and Dev. Syst. 9(3), 281–290 (2016)

4. Zheng, W.-L., et al.: Emotionmeter: a multimodal framework for recognizing human emotions. IEEE trans. Cybern. 49(3), 1110–1122 (2018)

5. Xie, W., Shen, L., Duan, J.: Adaptive weighting of handcrafted feature losses for facial expression recognition. IEEE trans. Cybern. 51(5), 2787–2800 (2019)

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