Reconstructing individual hand models from motion capture data

被引:18
|
作者
Endo, Yui [1 ]
Tada, Mitsunori [1 ]
Mochimaru, Masaaki [1 ]
机构
[1] Natl Inst Adv Ind Sci & Technol, Digital Human Res Ctr, Tokyo, Japan
关键词
Digital human modeling; Digital hand; Motion capture; Joint center estimation;
D O I
10.7315/JCDE.2014.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we propose a new method of reconstructing the hand models for individuals, which include the link structure models, the homologous skin surface models and the homologous tetrahedral mesh models in a reference posture. As for the link structure model, the local coordinate system related to each link consists of the joint rotation center and the axes of joint rotation, which can be estimated based on the trajectories of optimal markers on the relative skin surface region of the subject obtained from the motion capture system. The skin surface model is defined as a three-dimensional triangular mesh, obtained by deforming a template mesh so as to fit the landmark vertices to the relative marker positions obtained motion capture system. In this process, anatomical dimensions for the subject, manually measured by a caliper, are also used as the deformation constraints.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
  • [1] Individual Hand Model to Reconstruct Behavior from Motion Capture Data
    Miyata, Natsuki
    Motoki, Yuichi
    Shimizu, Yuki
    Maeda, Yusuke
    2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011, : 1951 - 1956
  • [2] Commanding an Anthropomorphic Robotic Hand with Motion Capture Data
    Crammond, Alexander
    Boggio, Crystal
    Delinger, Jared C.
    Jones, Sean, I
    Katafiasz, Adam
    Isenberg, Douglas R.
    2019 IEEE SOUTHEASTCON, 2019,
  • [3] Reconstruction of digital hand models for individuals by using motion capture system
    Endo, Yui
    Tada, Mitsunori
    Mochimaru, Masaaki
    Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 2013, 79 (09): : 860 - 867
  • [4] Reconstructing 3D Tree Models Using Motion Capture and Particle Flow
    Long, Jie
    Jones, Michael D.
    INTERNATIONAL JOURNAL OF COMPUTER GAMES TECHNOLOGY, 2013, 2013
  • [5] Reconstructing dynamical models from optogenetic data
    Sorinel A Oprisan
    Patrick E Lynn
    Tamas Tompa
    Antonieta Lavin
    BMC Neuroscience, 16 (Suppl 1)
  • [6] Fast Individual Facial Animation Framework Based on Motion Capture Data
    张满囤
    葛新杰
    刘爽
    肖智东
    游理华
    张建军
    Journal of Donghua University(English Edition), 2014, 31 (03) : 256 - 261
  • [7] Fast individual facial animation framework based on motion capture data
    Zhang, Man-Dun
    Ge, Xin-Jie
    Liu, Shuang
    Xiao, Zhi-Dong
    You, Li-Hua
    Zhang, Jian-Jun
    Xiao, Zhi-Dong, 1600, Editorial Board of Journal of Dong Hua University (31): : 256 - 261
  • [8] Visual hand motion capture for guiding a dexterous hand
    Cui, JS
    Sun, ZQ
    SIXTH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, PROCEEDINGS, 2004, : 729 - 734
  • [9] A functional method for generating individualized spine models from motion-capture data
    Seko, Sarah
    Matthew, Robert Peter
    Bajcsy, Ruzena
    Lotz, Jeffrey C.
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 1485 - 1489
  • [10] Hand Motion Capture for Medical Usage
    Hoshino, Kiyoshi
    Sugimura, Sota
    Tomida, Motomasa
    Igo, Naoki
    Kawano, Isao
    Sumitani, Masahiko
    PROCEEDINGS OF THE 2016 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL AND BIOINFORMATICS ENGINEERING (ICBBE 2016), 2016, : 40 - 45