2011 | OriginalPaper | Chapter
Crawling to Improve Multimodal Emotion Detection
Authors : Diego R. Cueva, Rafael A. M. Gonçalves, Fábio Cozman, Marcos R. Pereira-Barretto
Published in: Advances in Soft Computing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.