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. © 2008 IEEE.
Original language | American English |
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Pages | 141-147 |
Number of pages | 126 |
DOIs | |
State | Published - 24 Dec 2008 |
Event | Proceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 - Duration: 24 Dec 2008 → … |
Conference
Conference | Proceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 |
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Period | 24/12/08 → … |