Possibilistic Clustering-Promoting Semi-Supervised Learning for EEG-Based Emotion Recognition

• Published in: Frontiers in neuroscience Vol. 15; p. 690044
• Main Authors: Dan, Yufang, Tao, Jianwen, Fu, Jianjing, Zhou, Di
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 23.06.2021; Frontiers Media S.A
• Subjects: Algorithms; Brain; Brain research; Classification; Clustering; Computer applications; Datasets; EEG; electroencephalogram; Electroencephalography; emotion recognition; Emotions; Entropy; fuzzy entropy; Implants; Learning algorithms; Machine learning; membership function; Neuroscience; Noise; semi-supervised classification

The purpose of the latest brain computer interface is to perform accurate emotion recognition through the customization of their recognizers to each subject. In the field of machine learning, graph-based semi-supervised learning (GSSL) has attracted more and more attention due to its intuitive and g...