Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition

Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition

Emotion recognition is a key attribute for realizing advances in human–computer interaction, especially when using non-intrusive physiological sensors, such as electroencephalograph (EEG) and electrocardiograph. Although functional connectivity of EEG has been utilized for emotion recognition, the g...

Full description

Bibliographic Details
Main Authors: Vasileios-Rafail Xefteris, Athina Tsanousa, Nefeli Georgakopoulou, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
emotion recognition
EEG
multimodal physiological signals
functional connectivity
graph theory
multimodal fusion
Online Access:https://www.mdpi.com/1424-8220/22/21/8198

Internet

https://www.mdpi.com/1424-8220/22/21/8198

Similar Items