As the number of commercial EEG devices in the current market increases, there is a need to understand current trends and provide researchers and young practitioners with insights into future investigations of emotion recognition systems. This paper aims to evaluate popular consumer-grade EEG devices'...
本文Emotion recognition in EEG signals using deep learning methods: A review,于2023年10月发表在Computers in Biology and Medicine (IF=7,中科院2区) 上。 原文摘要 综述要点 对使用深度学习技术从 EEG 信号进行情绪识别进行了全面综述。 介绍了使用脑电信号进行情绪识别的优缺点。 介绍了使用 EEG 信号的情绪...
图2(图片来源:Suhaimi, N. S., Mountstephens, J., & Teo, J. (2020). EEG-based emotion recognition: A state-of-the-art review of current trends and opportunities. Computational intelligence and neuroscience, 2020.) 在EEG与FMRI的医学影像研究中,情绪是大脑偏侧化的反应,特别是在外侧额叶皮层。...
sensors Review EEG-Based BCI Emotion Recognition: A Survey Edgar P. Torres 1, Edgar A. Torres 2, Myriam Hernández-Álvarez 1,* and Sang Guun Yoo 1 1 Escuela Politécnica Nacional, Facultad de Ingeniería de Sistemas, Departamento de Informática y Ciencias de la Computación, Quito 170...
EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network 2023, Knowledge-Based Systems Show abstract Review on Emotion Recognition Based on Electroencephalography 2021, Frontiers in Computational Neuroscience Show abstract Self-training maximum classifier discrepancy ...
近期,深圳大学医学部生物医学工程学院梁臻博士(张治国教授团队MIND LAB核心成员)提出一种实用的基于无监督学习的卷积循环混合生成对抗网络,用以实现有效的脑电特征表征与融合,简称为EEGFuseNet。EEGFuseNet以无监督的方式进行训练和学习,并自动提取涵盖空间和时间动态变化性的深度EEG特征。与现有传统脑电特征相比,所提取的...
A review on EEG signals based emotion recognition. ICNSJ 2017;4:118.Suche in Google Scholar 20. Li, X, Song, D, Zhang, P, Yu, G, Hou, Y, Hu, B 2016, Emotion recognition from multi-channel EEG data through convolutional recurrent neural network. In: IEEE International Conference on ...
Lei, Y. & Cao, H. Audio-visual emotion recognition with preference learning based on intended and multi-modal perceived labels.IEEE Transactions on Affective Computing(2023). Lang, P. J., Bradley, M. M. & Cuthbert, B. N. Emotion, attention, and the startle reflex.Psychological review97,...
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism 2022, Computers in Biology and Medicine Show abstract Automated emotion recognition: Current trends and future perspectives 2022, Computer Methods and Programs in Biomedicine Show abstract Review on Emotio...
Domain adaptation methods using electroencephalography (EEG) play an important role in cross-subject emotion recognition. However, enhancing the generalizability of such models remains challenging. This paper proposes a domain adversarial neural network using multiple adversarial tasks (DANN-MAT). Multiple...