Algorithm for affective pattern recognition by means of use of first initial momentum

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Resumen

In a real world, the emotions play a significant role in rational actions in human communication. In recent years, there has been growing interest in the study of emotions to improve the capabilities of current human-computer interaction. In this paper, we present an effective pattern recognition approach to improve the extraction features in the performance of emotion recognition from video sequences by combining the Nitzberg algorithm and statistics analysis by means of use of the first and second momentum.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
EditorialIEEE Computer Society
Páginas141-147
Número de páginas7
ISBN (versión impresa)9780769531243
DOI
EstadoPublicada - 2007
Evento2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 - Aguascalientes, México
Duración: 4 nov. 200710 nov. 2007

Serie de la publicación

NombreProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007

Conferencia

Conferencia2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
País/TerritorioMéxico
CiudadAguascalientes
Período4/11/0710/11/07

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