MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion Recognition

• Published in: Frontiers in human neuroscience Vol. 15; p. 621493
• Main Authors: Li, Ruixin, Liang, Yan, Liu, Xiaojian, Wang, Bingbing, Huang, Wenxin, Cai, Zhaoxin, Ye, Yaoguang, Qiu, Lina, Pan, Jiahui
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 19.02.2021; Frontiers Media S.A
• Subjects: Accuracy; Algorithms; Arousal; Artificial intelligence; Brain research; Datasets; EEG; Electroencephalography; Emotions; Experiments; Long short-term memory; long short-term memory network (LSTM); Methods; multimodal emotion recognition; multitask convolutional neural network (CNN); Nervous system; Neural networks; Neuroscience; Physiology; Software; subject-independent method; support vector machine (SVM); Support vector machines; Transfer learning; subject-independent method; multitask convolutional neural network (CNN); support vector machine (SVM); long short-term memory network (LSTM); multimodal emotion recognition

Emotion recognition plays an important role in intelligent human–computer interaction, but the related research still faces the problems of low accuracy and subject dependence. In this paper, an open-source software toolbox called MindLink-Eumpy is developed to recognize emotions by integrating elec...