Algorithm for Affective Pattern Recognition by Means of Use of First Initial Momentum

Author

Romero-Herrera, Rodolfo ; Funes, Francisco J Gallegos ; Montiel-Perez, Jesus Y.

Author_Institution

Comput. Higher Sch., Nat. Polytech. Inst. of Mexico, Mexico City

fYear

2007

fDate

4-10 Nov. 2007

Firstpage

141

Lastpage

147

Abstract

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.

Keywords

emotion recognition; feature extraction; human computer interaction; image sequences; pattern recognition; statistical analysis; video signal processing; Nitzberg algorithm; feature extraction; human communication; human-computer interaction; initial momentum; pattern recognition; statistics analysis; video sequences; Artificial intelligence; Emotion recognition; Feature extraction; Humans; Kernel; Pattern recognition; Signal processing; Statistical analysis; Statistics; Video sequences; Pattern recognition; emotions;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on

Conference_Location

Aguascallentes

Print_ISBN

978-0-7695-3124-3

Type

conf

DOI

10.1109/MICAI.2007.21

Filename

4659304