Title
Feature-level fusion of multimodal physiological signals for emotion recognition
Abstract
Objective: This paper aims to use multimodal physiological signals to automatically recognize human emotions, and a novel multimodal feature fusion approach is proposed.
Year
DOI
Venue
2015
10.1109/BIBM.2015.7359713
IEEE International Conference on Bioinformatics and Biomedicine
Keywords
Field
DocType
multimodal physiological signals, information fusion, emotion recognition
Feature fusion,Pattern recognition,Computer science,Emotion recognition,Fusion,Speech recognition,Artificial intelligence,Information fusion
Conference
ISSN
Citations 
PageRank 
2156-1125
4
0.49
References 
Authors
7
5
Name
Order
Citations
PageRank
Jing Chen111113.60
Bin Hu2778107.21
Lixin Xu3191.76
Philip Moore415822.41
Yun Su5212.47