The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition
Abstract
In this paper, we propose a novel neural network model, called bi-hemisphere domain adversarial neural network (BiDANN) model, for electroencephalograph (EEG) emotion recognition. The BiDANN model is inspired by the neuroscience findings that the left and right hemispheres of human's brain are asymmetric to the emotional response. It contains a global and two local domain discriminators that work adversarially with a classifier to learn discriminative emotional features for each hemisphere. At the same time, it tries to reduce the possible domain differences in each hemisphere between the source and target domains so as to improve the generality of the recognition model. In addition, we also propose an improved version of BiDANN, denoted by BiDANN-S, for subject-independent EEG emotion recognition problem by lowering the influences of the personal information of subjects to the EEG emotion recognition. Extensive experiments on the SEED database are conducted to evaluate the performance of both BiDANN and BiDANN-S. The experimental results have shown that the proposed BiDANN and BiDANN models achieve state-of-the-art performance in the EEG emotion recognition.
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Transfer Learning for EEG-Based Brain–Computer Interfaces: A Review of Progress Made Since 2016
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Emotion recognition in EEG signals using deep learning methods: A review
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Multi-Domain Encoding of Spatiotemporal Dynamics in EEG for Emotion Recognition
Cheng, C., Zhang, Y., Liu, L., Liu, W., & Feng, L. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2022.3232497 · Cited by 29
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Metadata
- Authors
- Li, Y., Zheng, W., Zong, Y., Cui, Z., Zhang, T., & Zhou, X.
- Venue
- IEEE Transactions on Affective Computing
- Published
- 2021-04-01
- Volume
- 12
- Issue
- 2
- Pages
- 494-504
- ISSN
- 1949-3045 (ISSN-L)
- 2371-9850
- OpenAlex
- W2903959724
- Cited by
- 389
- References
- 52
- FWCI
- 10.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Funders
- National Key Research and Development Program of China (2015CB351704)
- National Natural Science Foundation of China (61572009, 61772276)
- Key Research and Development Program of Jiangsu Province, China (BE2016616)
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- Li, Y., Zheng, W., Zong, Y., Cui, Z., Zhang, T., & Zhou, X. (2021). A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition. IEEE Transactions on Affective Computing. https://doi.org/10.1109/taffc.2018.2885474
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