Development of a Ubiquitous Learning System for Dexterous Hand Operation

被引：0

作者：

Mitobe, Kazutaka ^{[1
]}

Tomioka, Masahiro ^{[1
]}

Saito, Masachika ^{[1
]}

Suzuki, Masafumi ^{[1
]}

机构：

[1] Akita Univ, Akita 010, Japan

来源：

2012 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR) - SCIENCE AND TECHNOLOGY | 2012年

关键词：

Dexterous finger movement; motion capture; training;

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：

It is not easy to learn the dexterous finger movements of a skilled person due to flexibility and complexity. Therefore, a lot of training and effort is needed for a novice in order to acquire proficiency. The role model and feedback information of experienced persons is important for learning skilled movements. In this paper, we evaluate a ubiquitous learning system for dexterous hand operation using the finger motion capture data measured by the Hand-MoCap system. Through this system, a novice can learn under the guidance of the virtual 3D hand reconstructed using the master's motion capture data. We quantitatively evaluate the effectiveness of the system.

引用

页码：299 / 300

页数：2

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