DocumentCode :
3217648
Title :
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
Link To Document :
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