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

共 50 条

[21] Development and evaluation of drum learning support system based on rhythm and drumming form
Tsuji, Y
Nishitaka, A
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2006, 89 (09): : 11 - 21
[22] Denoising-Based Decoupling-Contrastive Learning for Ubiquitous Synthetic Face Images
Zhu, Yupeng
Shen, Xinyi
Du, Peilun
IEEE ACCESS, 2023, 11 : 104946 - 104954
[23] Hand Motion Capture System in Piano Playing
Rahman, Md. Mostafizur
Hossain, A. B. M. Aowlad
Rana, Md. Masud
Mitobe, Kazutaka
2013 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2013,
[24] Learning an Augmented RGB Representation for Dynamic Hand Gesture Authentication
Xie, Huilong
Song, Wenwei
Kang, Wenxiong
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (10) : 9195 - 9208
[25] Learning From Large-Scale Noisy Web Data With Ubiquitous Reweighting for Image Classification
Li, Jia
Song, Yafei
Zhu, Jianfeng
Cheng, Lele
Su, Ying
Ye, Lin
Yuan, Pengcheng
Han, Shumin
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (05) : 1808 - 1814
[26] Design and Development of Learning Management System Huemul for Teaching Fast Healthcare Interoperability Resource: Algorithm Development and Validation Study
Guinez-Molinos, Sergio
Espinoza, Sonia
Andrade, Jose
Medina, Alejandro
JMIR MEDICAL EDUCATION, 2024, 10
[27] 6-DOF Computation and Marker Design for Magnetic 3D Dexterous Motion-Tracking System
Huang, Jiawei
Mori, Tsuyoshi
Takashima, Kazuki
Hashi, Shuichiro
Kitamura, Yoshifumi
22ND ACM CONFERENCE ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2016), 2016, : 211 - 217
[28] Deep Reinforcement Learning-Based Tie-Line Power Adjustment Method for Power System Operation State Calculation
Xu, Huating
Yu, Zhihong
Zheng, Qingping
Hou, Jinxiu
Wei, Yawei
Zhang, Zhijian
IEEE ACCESS, 2019, 7 : 156160 - 156174
[29] Modelling the musculoskeletal system of the hand and forearm for ergonomic applications
Vignais, N.
Marin, F.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2011, 14 : 75 - 76
[30] Finger Motion Measurement System for Telexistence Hand Manipulation
Inoue, Yasuyuki
Kato, Fumihiro
Tachi, Susumu
2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENT AND CONTROL IN ROBOTICS (ISMCR): ROBOTICS FOR THE BENEFIT OF HUMANITY, 2019,

← 1 2 3 4 5 →