Crawling to improve multimodal emotion detection

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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

4 Citas (Scopus)

Resumen

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.
Idioma originalInglés estadounidense
Título de la publicación alojadaCrawling to improve multimodal emotion detection
Páginas343-350
Número de páginas8
ISBN (versión digital)9783642253294
DOI
EstadoPublicada - 6 dic 2011
Publicado de forma externa
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duración: 1 ene 2018 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen7095 LNAI
ISSN (versión impresa)0302-9743

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Período1/01/18 → …

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  • Citar esto

    Cueva, D. R., Gonçalves, R. A. M., Cozman, F., & Pereira-Barretto, M. R. (2011). Crawling to improve multimodal emotion detection. En Crawling to improve multimodal emotion detection (pp. 343-350). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7095 LNAI). https://doi.org/10.1007/978-3-642-25330-0_30