Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition

[1]  Seong Youb Chung,et al.  EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm , 2013, Comput. Biol. Medicine.

[2]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[3]  Tong Zhang,et al.  Spatial–Temporal Recurrent Neural Network for Emotion Recognition , 2017, IEEE Transactions on Cybernetics.

[4]  Xinchun Cui,et al.  EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM , 2021, Appl. Soft Comput..

[5]  Alan C. Evans,et al.  Functional localization and lateralization of human olfactory cortex , 1992, Nature.

[6]  Reda A. El-Khoribi,et al.  Emotion Recognition based on EEG using LSTM Recurrent Neural Network , 2017 .

[7]  J. X. Chen,et al.  A Hierarchical Bidirectional GRU Model With Attention for EEG-Based Emotion Classification , 2019, IEEE Access.

[8]  Martin Buss,et al.  Feature Extraction and Selection for Emotion Recognition from EEG , 2014, IEEE Transactions on Affective Computing.

[9]  Takeshi Yamakawa,et al.  A human robot interaction by a model of the emotional learning in the brain , 2010 .

[10]  Tiago H. Falk,et al.  Deep learning-based electroencephalography analysis: a systematic review , 2019, Journal of neural engineering.

[11]  Philip A. Gable,et al.  The role of asymmetric frontal cortical activity in emotion-related phenomena: A review and update , 2010, Biological Psychology.

[12]  Ming Qiu,et al.  Emotion Recognition from Multi-Channel EEG through Parallel Convolutional Recurrent Neural Network , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

[13]  Kaichao Wu,et al.  A probability and integrated learning based classification algorithm for high-level human emotion recognition problems , 2020 .

[14]  Juan Cheng,et al.  EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention , 2023, IEEE Transactions on Affective Computing.

[15]  A. Nijholt,et al.  A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges , 2014 .

[16]  Hao Tang,et al.  Emotion Recognition using Multimodal Residual LSTM Network , 2019, ACM Multimedia.

[17]  S. Dimond,et al.  Differing emotional response from right and left hemispheres , 1976, Nature.

[18]  N. Birbaumer,et al.  BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.

[19]  Olga Sourina,et al.  A Fractal-based Algorithm of Emotion Recognition from EEG using Arousal-Valence Model , 2011, BIOSIGNALS.

[20]  Touradj Ebrahimi,et al.  Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals , 2016, IEEE Transactions on Affective Computing.

[21]  Zhen Cui,et al.  From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition , 2019, IEEE Transactions on Affective Computing.

[22]  Bin Hu,et al.  Exploring EEG Features in Cross-Subject Emotion Recognition , 2018, Front. Neurosci..

[23]  C. L. Philip Chen,et al.  GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition , 2019, IEEE Transactions on Affective Computing.

[24]  Wenming Zheng,et al.  EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks , 2020, IEEE Transactions on Affective Computing.

[25]  Huiguang He,et al.  Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition , 2020, IEEE Transactions on Cybernetics.

[26]  Cheng Liu,et al.  A machine emotion transfer model for intelligent human-machine interaction based on group division , 2020 .

[27]  Olga Sourina,et al.  Real-Time Subject-Dependent EEG-Based Emotion Recognition Algorithm , 2014, Trans. Comput. Sci..

[28]  Charalampos Bratsas,et al.  Toward Emotion Aware Computing: An Integrated Approach Using Multichannel Neurophysiological Recordings and Affective Visual Stimuli , 2010, IEEE Transactions on Information Technology in Biomedicine.

[29]  Xiang Li,et al.  Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network , 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

[30]  Reda A. El-Khoribi,et al.  EEG-Based Emotion Recognition using 3D Convolutional Neural Networks , 2018 .

[31]  Bao-Liang Lu,et al.  Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks , 2015, IEEE Transactions on Autonomous Mental Development.

[32]  Zhen-Tao Liu,et al.  Electroencephalogram Emotion Recognition Based on Empirical Mode Decomposition and Optimal Feature Selection , 2019, IEEE Transactions on Cognitive and Developmental Systems.

[33]  Soraia M. Alarcão,et al.  Emotions Recognition Using EEG Signals: A Survey , 2019, IEEE Transactions on Affective Computing.

[34]  Robert Oostenveld,et al.  The five percent electrode system for high-resolution EEG and ERP measurements , 2001, Clinical Neurophysiology.

[35]  Mert R. Sabuncu,et al.  A Surface-based Analysis of Language Lateralization and Cortical Asymmetry , 2013, Journal of Cognitive Neuroscience.

[36]  Thierry Pun,et al.  DEAP: A Database for Emotion Analysis ;Using Physiological Signals , 2012, IEEE Transactions on Affective Computing.

[37]  Zhaoxiang Zhang,et al.  Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition , 2017, Cognitive Computation.

[38]  Sungho Jo,et al.  Deep Physiological Affect Network for the Recognition of Human Emotions , 2020, IEEE Transactions on Affective Computing.

[39]  R. Dolan,et al.  Emotion, Cognition, and Behavior , 2002, Science.

[40]  Teng Zhou,et al.  A hybrid intelligent model for acute hypotensive episode prediction with large-scale data , 2021, Inf. Sci..

[41]  Olga Sourina,et al.  Real-Time Fractal-Based Valence Level Recognition from EEG , 2013, Trans. Comput. Sci..

[42]  Andrzej Cichocki,et al.  EmotionMeter: A Multimodal Framework for Recognizing Human Emotions , 2019, IEEE Transactions on Cybernetics.

[43]  Bin Hu,et al.  A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data , 2020, IEEE Transactions on Affective Computing.

[44]  Guillaume Chanel,et al.  Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[45]  Leontios J. Hadjileontiadis,et al.  Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis , 2010, IEEE Transactions on Affective Computing.

[46]  D. Tucker Lateral brain function, emotion, and conceptualization. , 1981, Psychological bulletin.

[47]  Samit Bhattacharya,et al.  Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset , 2017, AAAI.

[48]  Antonio Fernández-Caballero,et al.  A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition , 2021, IEEE Transactions on Affective Computing.

[49]  Jeremy C. Rietschel,et al.  Stress, emotion regulation and cognitive performance: the predictive contributions of trait and state relative frontal EEG alpha asymmetry. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[50]  K. Becker,et al.  Analysis of microarray data using Z score transformation. , 2003, The Journal of molecular diagnostics : JMD.

[51]  Yang Li,et al.  A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition , 2021, IEEE Transactions on Affective Computing.

[52]  Bao-Liang Lu,et al.  Differential entropy feature for EEG-based emotion classification , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[53]  Wenming Zheng,et al.  Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis , 2017, IEEE Transactions on Cognitive and Developmental Systems.