论文信息 - EEG-Based Emotion Recognition - Evaluation Methodology Revisited - 字舞流文

EEG-Based Emotion Recognition - Evaluation Methodology Revisited

Agnieszka Wosiak | Bartlomiej Stasiak | Aleksandra Dura | Slawomir Opalka | Adam Wojciechowski

[1] Bao-Liang Lu,et al. Emotional state classification from EEG data using machine learning approach , 2014, Neurocomputing.

[2] Chao Li,et al. Deep Convolutional Neural Network for Emotion Recognition Using EEG and Peripheral Physiological Signal , 2017, ICIG.

[3] Youjun Li,et al. Human Emotion Recognition with Electroencephalographic Multidimensional Features by Hybrid Deep Neural Networks , 2017 .

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

[5] Vinod Chandran,et al. Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors , 2018, Expert Syst. Appl..

[6] J. Russell. A circumplex model of affect. , 1980 .

[7] Vili Podgorelec,et al. Automatic Classification of Motor Impairment Neural Disorders from EEG Signals Using Deep Convolutional Neural Networks , 2018, Elektronika ir Elektrotechnika.

[8] Xinbo Gao,et al. Deep Convolutional Neural Networks for mental load classification based on EEG data , 2018, Pattern Recognit..