Title
Crawling to improve multimodal emotion detection
Abstract
This paper demonstrates multimodal fusion of emotion sensory data in realistic scenarios of relatively long human-machine interactions. Fusion, combining voice and facial expressions, has been enhanced with semantic information retrieved from Internet social networks, resulting in more accurate determination of the conveyed emotion.
Year
DOI
Venue
2011
10.1007/978-3-642-25330-0_30
MICAI (2)
Keywords
DocType
Volume
long human-machine interaction,multimodal emotion detection,accurate determination,multimodal fusion,facial expression,conveyed emotion,realistic scenario,semantic information,emotion sensory data,internet social network
Conference
7095
ISSN
Citations 
PageRank 
0302-9743
3
0.43
References 
Authors
7
4
Name
Order
Citations
PageRank
Diego R. Cueva131.10
Rafael A. M. Gonçalves231.10
Fabio G. Cozman31200172.21
Marcos R. Pereira-Barretto441.12