This repo contains a list of papers for emotion recognition using machine learning/deep learning.
If you have any suggested papers, please contact me ziyujia{at}bjtu.edu.cn
Title | Author | Date | Publication | Link | Model | Data |
---|---|---|---|---|---|---|
EEG emotion recognition model based on the LIBSVM classifier | Chen, Tian, et al. | Dec-2020 | Measurement | URL | LIBSVM | EEG |
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition | Jia, Ziyu, et al. | Oct-2020 | Proceedings of the 28th ACM International Conference on Multimedia (ACM MM) | URL | 3D Dense Network | EEG |
EEG-based emotion recognition via channel-wise attention and self attention | Tao, Wei, et al. | Sep-2020 | IEEE Transactions on Affective Computing | URL | CNN, RNN | EEG |
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition | Li, Yang, et al. | Sep-2020 | arXiv preprint arXiv:2009.09585 | URL | TANN | EEG |
Emotion Recognition under Sleep Deprivation Using a Multimodal Residual LSTM Network | Tao, Le-Yan, et al. | Jul-2020 | 2020 International Joint Conference on Neural Networks (IJCNN) | URL | LSTM | EEG |
A novel bi-hemispheric discrepancy model for eeg emotion recognition | Li, Yang, et al. | Jun-2020 | IEEE Transactions on Cognitive and Developmental Systems | URL | BiHDM | EEG |
Emotion Classification Using EEG Brain Signals and the Broad Learning System | Issa, Sali, et al. | Feb-2020 | IEEE Transactions on Systems, Man, and Cybernetics: Systems | URL | BLS | EEG |
Affective Computing for Large-scale Heterogeneous Multimedia Data A Survey | Zhao, Sicheng, et al. | Dec-2019 | ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) | URL | Survey | images, music, videos, and multimodal data |
Emotion recognition using multimodal residual LSTM network | Ma, Jiaxin, et al. | Oct-2019 | Proceedings of the 27th ACM international conference on multimedia | URL | LSTM | EEG, EOG, EMG |
A Multi-Column CNN Model for Emotion Recognition from EEG Signals | Yang, Heekyung, et al. | Oct-2019 | Sensors | URL | CNN | EEG |
SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG | Xing, Xiaofen, et al. | Jun-2019 | Frontiers in neurorobotics | URL | LSTM | EEG |
Learning CNN features from DE features for EEG-based emotion recognition | Hwang, Sunhee, et al. | Jun-2019 | Pattern Analysis and Applications | URL | CNN | EEG |
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing | Siddharth, Siddharth, et al. | May-2019 | IEEE Transactions on Affective Computing | URL | CNN, LSTM | EEG, ECG |
Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing | Siddharth, Siddharth, et al. | May-2019 | IEEE Transactions on Affective Computing | URL | CNN | EEG, ECG |
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models | Qazi, Emad-ul-Haq, et al. | Apr-2019 | arXiv preprint arXiv:1904.13234 | URL | CNN | EEG |
Using the center loss function to improve deep learning performance for EEG signal classification. | Zhang, Wenxiang and Liu, Qingshan | Mar-2019 | 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI) | URL | CNN, LSTM | EEG |
Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks | Chen, JX, et al. | Mar-2019 | IEEE Access | URL | 2*CNN, 2*FC | EEG |
Subject-Independent Emotion Recognition During Music Listening Based on EEG Using Deep Convolutional Neural Networks | Keelawat, Panayu, et al. | Mar-2019 | 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) | URL | CNN | EEG |
EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations | Li, Peiyang, et al. | Feb-2019 | IEEE Transactions on Biomedical Engineering | URL | PLV | EEG |
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System | Wang, Xue-han, et al. | Jan-2019 | 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) | URL | DGCNN, BLS | EEG |
Emotion Recognition from Multiband EEG Signals Using CapsNet | Chao, Hao, et al. | Jan-2019 | Sensors | URL | CapsNet | EEG |
Recognition of emotions using multichannel EEG data and DBN-GC-based ensemble deep learning framework | Chao, Hao, et al. | Dec-2018 | Computational intelligence and neuroscience | URL | DBN | EEG |
A Bi-hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition | Li, Yang, et al. | Dec-2018 | IEEE Transactions on Affective Computing | URL | LSTM | EEG |
Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition | Yang, Yilong, et al. | Dec-2018 | International Conference on Neural Information Processing | URL | CNN | EEG |
A bi-hemisphere domain adversarial neural network model for EEG emotion recognition | Li, Yang, et al. | Dec-2018 | IEEE Transactions on Affective Computing | URL | BiDANN | EEG |
Using deep convolutional neural network for emotion detection on a physiological signals dataset (AMIGOS) | Santamaria-Granados, et al. | Nov-2018 | IEEE Access | URL | CNN | EEG, ECG, GMR |
EEG Emotion Recognition Based on Granger Causality and CapsNet Neural Network. | Jinliang, GUO, et al. | Nov-2018 | 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) | URL | CNN | EEG |
EEG Emotion Classification Based On Baseline Strategy | Xu, Jinghan, et al. | Nov-2018 | 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS) | URL | CNN | EEG |
Cross-corpus EEG-based emotion recognition | Rayatdoost, Soheil, et al. | Nov-2018 | 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) | URL | CNN | EEG |
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features | Long, Yanfang, et al. | Nov-2018 | International Conference on Cognitive Systems and Signal Processing | URL | GRU | EEG |
On the influence of affect in EEG-based subject identification | Arnau-González, Pablo, et al. | Oct-2018 | IEEE Transactions on Affective Computing | URL | AdaBOOST | EEG |
Empirical Evidence Relating EEG Signal Duration to Emotion Classification Performance | Pereira, Eanes Torres, et al. | Sep-2018 | IEEE Transactions on Affective Computing | URL | HOC's | EEG |
A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG | Yang, Yu-Xuan, et al. | Aug-2018 | Chaos: An Interdisciplinary Journal of Nonlinear Science | URL | CFCNN, RQA | EEG |
Data Encoding Visualization Based Cognitive Emotion Recognition with AC-GAN Applied for Denoising. | Qiu, Jie-Lin, et al. | Jul-2018 | 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC) | URL | GAN | EEG |
Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder | Zhou, Jian, et al. | Jul-2018 | International Journal of Computational Intelligence Systems | URL | CNN | EEG, EP |
EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition | Wang, Yi, et al. | Jul-2018 | 2018 International Joint Conference on Neural Networks (IJCNN) | URL | CNN | EEG |
Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network | Yang, Yilong, et al. | Jul-2018 | 2018 International Joint Conference on Neural Networks (IJCNN) | URL | CNN, RNN | EEG |
Emotion Recognition using AutoEncoders and Convolutional Neural Networks | Prieto, Luis Antonio Beltrán, et al. | Jun-2018 | Mendel | URL | CNN | Facial expression |
A mutual information based adaptive windowing of informative EEG for emotion recognition | Piho, Laura, et al. | May-2018 | IEEE Transactions on Affective Computing | URL | Window Selection | EEG |
Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning | Tripathi, Samarth, et al. | Apr-2018 | arXiv preprint arXiv:1804.05788 | URL | RNN, CNN | Speech, Text, and Motion capture |
Convolutional neural network approach for EEG-based emotion recognition using brain connectivity and its spatial information | Moon, Seong-Eun, et al. | Apr-2018 | 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | URL | CNN | EEG |
Eeg emotion recognition using dynamical graph convolutional neural networks | Song, Tengfei, et al. | Mar-2018 | IEEE Transactions on Affective Computing | URL | DGCNN | EEG |
Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks | Niu, Yafeng, et al. | Mar-2018 | Proceedings of the 2018 International Conference on Computing and Artificial Intelligence | URL | CNN | SER |
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions | Zheng, Wei-Long, et al. | Feb-2018 | IEEE transactions on cybernetics | URL | RBM | EEG, EOG |
Emotionmeter: A multimodal framework for recognizing human emotions | Zheng, Wei-Long, et al. | Feb-2018 | IEEE transactions on cybernetics | URL | RBM | EEG, Eye Movement |
Data augmentation for eeg-based emotion recognition with deep convolutional neural networks | Wang, Fang, et al. | Feb-2018 | International Conference on Multimedia Modeling | URL | SVM/ LeNet/ ResNet | EEG |
Spatial–Temporal Recurrent Neural Network for Emotion Recognition | Zhang, Tong, et al. | Jan-2018 | IEEE transactions on cybernetics | URL | RNN | EEG |
Deep Physiological Affect Network for the Recognition of Human Emotions | Kim, Byung Hyung, et al. | Jan-2018 | IEEE Transactions on Affective Computing | URL | ConvLSTM | EEG, PPG |
EEG-Based Emotion Recognition using 3D Convolutional Neural Networks | Salama, Elham S, et al. | Jan-2018 | Int. J. Adv. Comput. Sci. Appl | URL | CNN | EEG |
Hierarchical convolutional neural networks for EEG-based emotion recognition | Li, Jinpeng, et al. | Dec-2017 | Cognitive Computation | URL | CNN | EEG |
Deep belief network based affect recognition from physiological signals | Kawde, Piyush, et al. | Oct-2017 | 2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) | URL | DBN | EEG, EOG, EMG, GSR |
Emotions Recognition Using EEG Signals: A Survey | Alarcao, Soraia M, et al. | Jun-2017 | IEEE Transactions on Affective Computing | URL | Survey | EEG |
Identifying Stable Patterns over Time for Emotion Recognition from EEG | Zheng, Wei-Long, et al. | Jun-2017 | IEEE Transactions on Affective Computing | URL | GRELM | EEG |
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes | Yang, Yimin, et al. | Mar-2017 | IEEE Transactions on Cognitive and Developmental Systems | URL | SLFN | EEG, EOG, EMG |
Using deep and convolutional neural networks for accurate emotion classification on DEAP dataset | Tripathi, Samarth, et al. | Feb-2017 | Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence | URL | DNN, CNN | EEG |
Gaussian process dynamical models for multimodal affect recognition | García, Hernán F., et al. | Aug-2016 | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | URL | SVM | EEG |
Multimodal Emotion Recognition Using Multimodal Deep Learning | Liu, Wei, et al. | Feb-2016 | arXiv preprint arXiv:1602.08225 | URL | DAE | EEG |
Fisher feature selection for emotion recognition | Boonthong, Piyatragoon, et al. | Feb-2016 | 2015 International Computer Science and Engineering Conference (ICSEC) | URL | F-Score | Speech |
Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection | Soleymani, Mohammad, et al. | May-2015 | IEEE Transactions on Affective Computing | URL | RNN, CCRF | EEG |
Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks | Zheng, Wei-Long, et al. | May-2015 | IEEE Transactions on Autonomous Mental Development | URL | DBN | EEG |
A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals | Jia, Xiaowei, et al. | Nov-2014 | 2014 IEEE international conference on bioinformatics and bioengineering | URL | ST, AL | EEG |
Reduce the dimensions of emotional features by principal component analysis for speech emotion recognition | Quan, Changqin, et al. | Mar-2014 | Proceedings of the 2013 IEEE/SICE International Symposium on System Integration | URL | PCA | Speech |
Zehui Jiao, Xiyang Cai, and Ziyu Jia collaborated to organize and summarize the above papers.