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
收藏
页码：299 / 300
页数：2
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