TY - GEN
T1 - Crawling to improve multimodal emotion detection
AU - Cueva, Diego R.
AU - Gonçalves, Rafael A.M.
AU - Cozman, Fábio
AU - Pereira-Barretto, Marcos R.
PY - 2011/12/6
Y1 - 2011/12/6
N2 - 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.
AB - 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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=82555177354&origin=inward
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=82555177354&origin=inward
U2 - 10.1007/978-3-642-25330-0_30
DO - 10.1007/978-3-642-25330-0_30
M3 - Conference contribution
SN - 9783642253294
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 343
EP - 350
BT - Crawling to improve multimodal emotion detection
T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 1 January 2018
ER -