基于第一初始动量的情感模式识别算法

2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI) Pub Date : 2007-11-04 DOI:10.1109/MICAI.2007.21

R. Romero-Herrera, F. Funes, J. Y. Montiel-Pérez

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引用次数: 0

摘要

在现实世界中，情感在人类交流的理性行为中扮演着重要的角色。近年来，人们对研究情绪以提高当前人机交互能力的兴趣日益浓厚。本文提出了一种有效的模式识别方法，将Nitzberg算法与统计分析相结合，利用第一动量和第二动量来提高视频序列情感识别性能中的提取特征。

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

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.

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2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI)

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