石敏, 许莉钧, 彭华东. 可穿戴生理传感器驱动的深度学习情绪识别模型在心理健康评估中的应用[J]. 西南大学学报(自然科学版), 2024, 46(12): 189-201. doi: 10.13718/j.cnki.xdzk.2024.12.018
王伟, 周建华, 刘紫恒, 等. 基于时空Inception残差注意力网络的脑电情绪识别[J]. 重庆邮电大学学报(自然科学版), 2024, 36(1): 68-75.
ZHENG W L, LU B L. Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks[J]. IEEE Transactions on Autonomous Mental Development, 2015, 7(3): 162-175. doi: 10.1109/TAMD.2015.2431497
李沛洋, 赵贯一, 刘宇轩, 等. 基于时延嵌入式隐马尔科夫模型的癫痫脑电分类算法[J]. 重庆邮电大学学报(自然科学版), 2024, 36(4): 675-686.
袁凯烽, 侯璐, 黄永锋. 基于自适应多频带结构保持TS模糊模型的脑电情感识别方法[J]. 西南大学学报(自然科学版), 2025, 47(11): 163-177. doi: 10.13718/j.cnki.xdzk.2025.11.013
LE J Q, WANG Y H, ZHOU Y, et al. CBAM-LSTM-Attention Enabled Human Emotion Recognition Using EEG Signals[J]. Biomedical Signal Processing and Control, 2026, 112: 108767. doi: 10.1016/j.bspc.2025.108767
KHAN M R, TANIA A A, BUSHRA T A, et al. DAFNet: A Dual-Path Attention Fusion Network for EEG Emotion Recognition via CNN and Graph-Based Global Modeling[J]. Array, 2025, 28: 100561. doi: 10.1016/j.array.2025.100561
ZHANG J, ZHANG X Y, ZHAO Q. Improved Graph Convolutional Neural Networks Based on Granger Causality Analysis for EEG Emotion Recognition[C] //2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI). Shijiazhuang, China: IEEE, 2022: 684-688.
WANG L T, ZHENG Q Y, GAO D R, et al. MG-DA: Multi-Branch Graph Convolution with Domain Adaptation for Emotion Recognition[J]. Alexandria Engineering Journal, 2025, 130: 333-342. doi: 10.1016/j.aej.2025.09.013
LIU S Q, GU Z H, ZHANG Y, et al. Dynamic Collaborative Evolutionary Network: A Novel Spatio-Temporal Feature Extraction Framework for EEG Emotion Recognition[J]. Expert Systems with Applications, 2026, 298: 129654. doi: 10.1016/j.eswa.2025.129654
HU F, HE K L, WANG C, et al. STRFLNet: Spatio-Temporal Representation Fusion Learning Network for EEG-Based Emotion Recognition[J]. IEEE Transactions on Affective Computing, 2026, 17(1): 204-218. doi: 10.1109/TAFFC.2025.3611173
LIU S Q, WANG X R, GU Z H, et al. Cross-Subject Emotion Recognition by EEG Driven Spatio-Temporal Hybrid Network Based on Domain Adaptation and Dynamic Graph Attention[J]. Biomedical Signal Processing and Control, 2025, 110: 108231. doi: 10.1016/j.bspc.2025.108231
WU M Q, PHILIP CHEN C L, CHEN B N, et al. Grop: Graph Orthogonal Purification Network for EEG Emotion Recognition[J]. IEEE Transactions on Affective Computing, 2025, 16(1): 319-332. doi: 10.1109/TAFFC.2024.3433613
VASWANI A, SHAZEER N, PARMAR N, et al. Attention is All You Need[PP/OL]. ArXiv(2023-08-12)[2026-02-10]. https://arxiv.org/abs/1706.03762.
WELCH P. The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging over Short, Modified Periodograms[J]. IEEE Transactions on Audio and Electroacoustics, 1967, 15(2): 70-73. doi: 10.1109/TAU.1967.1161901
KIPF T N, WELLING M. Semi-Supervised Classification with Graph Convolutional Networks[PP/OL]. ArXiv(2017-02-22)[2026-02-10]. https://arxiv.org/abs/1609.02907.
KOELSTRA S, MUHL C, SOLEYMANI M, et al. DEAP: a Database for Emotion Analysis; Using Physiological Signals[J]. IEEE Transactions on Affective Computing, 2011, 3(1): 18-31.
WANG X H, ZHANG T, XU X M, et al. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System[C] //2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Madrid, Spain: IEEE, 2018: 1240-1244.
LI Y, ZHENG W M, ZONG Y, et al. A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition[J]. IEEE Transactions on Affective Computing, 2021, 12(2): 494-504. doi: 10.1109/TAFFC.2018.2885474
LI Y, WANG L, ZHENG W M, et al. A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition[J]. IEEE Transactions on Cognitive and Developmental Systems, 2021, 13(2): 354-367. doi: 10.1109/TCDS.2020.2999337
ZHONG P X, WANG D, MIAO C Y. EEG-Based Emotion Recognition Using Regularized Graph Neural Networks[J]. IEEE Transactions on Affective Computing, 2022, 13(3): 1290-1301. doi: 10.1109/TAFFC.2020.2994159
SHEN F Y, DAI G J, LIN G, et al. EEG-Based Emotion Recognition Using 4D Convolutional Recurrent Neural Network[J]. Cognitive Neurodynamics, 2020, 14(6): 815-828. doi: 10.1007/s11571-020-09634-1
GUO W H, LI Y X, LIU M X, et al. Functional Connectivity-Enhanced Feature-Grouped Attention Network for Cross-Subject EEG Emotion Recognition[J]. Knowledge-Based Systems, 2024, 283: 111199. doi: 10.1016/j.knosys.2023.111199
ZHU X L, LIU C, ZHAO L, et al. EEG Emotion Recognition Network Based on Attention and Spatiotemporal Convolution[J]. Sensors, 2024, 24(11): 3464. doi: 10.3390/s24113464
WANG K, WU D, LIU W, et al. Graph Filtering-Based Multi-Granularity Spatial-Frequency Convolutional Attention Fusion Network for Emotion Recognition[J]. Biomedical Signal Processing and Control, 2026, 112: 108556. doi: 10.1016/j.bspc.2025.108556