Emotion analysis in man-machine interaction systems

被引：0

作者：

Balomenos, T ^{[1
]}

Raouzaiou, A ^{[1
]}

Ioannou, S ^{[1
]}

Drosopoulos, A ^{[1
]}

Karpouzis, K ^{[1
]}

Kollias, S ^{[1
]}

机构：

[1] Natl Tech Univ Athens, Image Video & Multimedia Syst Lab, Athens, Greece

来源：

MACHINE LEARNING FOR MULTIMODAL INTERACTION | 2005年 / 3361卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Facial expression and hand gesture analysis plays a fundamental part in emotionally rich man-machine interaction (MMI) systems, since it employs universally accepted non-verbal cues to estimate the users' emotional state. In this paper, we present a systematic approach to extracting expression related features from image sequences and inferring an emotional state via an intelligent rule-based system. MMI systems can benefit from these concepts by adapting their functionality and presentation with respect to user reactions or by employing agent-based interfaces to deal with specific emotional states, such as frustration or anger.

引用

页码：318 / 328

页数：11

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