Crawling to improve multimodal emotion detection

Diego R. Cueva, Rafael A.M. Gonçalves, Fábio Cozman, Marcos R. Pereira-Barretto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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. © 2011 Springer-Verlag.
Original languageAmerican English
Title of host publicationCrawling to improve multimodal emotion detection
Pages343-350
Number of pages8
ISBN (Electronic)9783642253294
DOIs
StatePublished - 6 Dec 2011
Externally publishedYes
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7095 LNAI
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

Fingerprint

Dive into the research topics of 'Crawling to improve multimodal emotion detection'. Together they form a unique fingerprint.

Cite this