Gesture-Based Affect Modeling for Intelligent Tutoring Systems

被引：0

作者：

Bustos, Dana May ^{[1
]}

Chua, Geoffrey Loren ^{[1
]}

Cruz, Richard Thomas ^{[1
]}

Santos, Jose Miguel ^{[1
]}

Suarez, Merlin Teodosia ^{[1
]}

机构：

[1] De La Salle Univ, Ctr Empath Human Comp Interact, Manila 1004, Philippines

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION | 2011年 / 6738卷

关键词：

Gesture recognition; affect modeling; intelligent tutoring systems; emotions in gestures;

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：

This paper investigates the feasibility of using gestures and posture for building affect models for an ITS. Recordings of students studying with a computer were taken and an HMM was built to recognize gestures and posture. Results indicate distinctions can be achieved with an accuracy of 43.10% using leave-one out cross validation. Results further indicate the relevance of hand location, movement and speed of movement as features for affect modeling using gestures and posture.

引用

页码：426 / 428

页数：3

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