Method of generating coded description of human body motion from motion-captured data

被引:39
|
作者
Hachimura, K [1 ]
Nakamura, M [1 ]
机构
[1] Ritsumeikan Univ, Dept Comp Sci, Shiga, Japan
关键词
D O I
10.1109/ROMAN.2001.981889
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
By using a motion capture system we can measure and record human body motion of intangible cultural properties like ballet, dance or other performing arts. Because the measurement accuracy of the system is high, volume of the data is usually very large. Compact and abstracted description of the motion is also required. We developed a method to generate the coded description from motion captured data. The description is based on dance notation called Labanotation which is well known among Western. dance communities. Labanotation score is produced from. the coded description, and it can be readily used in choreography and dance education. This compact coded description of the motion may also be used as an index for motion captured data stored in the database.
引用
收藏
页码:122 / 127
页数:6
相关论文
共 50 条
  • [31] Generating Human Motion from Textual Descriptions with Discrete Representations
    Zhang, Jianrong
    Zhang, Yangsong
    Cun, Xiaodong
    Zhang, Yong
    Zhao, Hongwei
    Lu, Hongtao
    Shen, Xi
    Ying, Shan
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 14730 - 14740
  • [32] Human Motion Description and Recognition under Arbitrary Motion Direction
    Yamashita, Youtaro
    Tan, Joo Kooi
    Ishikawa, Seiji
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 110 - 115
  • [33] Method for real-time boxing punch recognition based on captured motion data
    Jing, Shuxu
    Leung, Howard
    He, Fazhi
    Komura, Taku
    Chan, Jacky
    Journal of Computational Information Systems, 2008, 4 (04): : 1665 - 1672
  • [34] Robot imitation of human motion based on qualitative description from multiple measurement of human and environmental data
    Sato, T
    Genda, Y
    Kubotera, H
    Mori, T
    Harada, T
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 2377 - 2384
  • [35] TRAINING-FREE METHOD FOR GENERATING MOTION VIDEO CLONES FROM A STILL IMAGE CONSIDERING SELF-OCCLUSION OF HUMAN BODY
    Tsutsumi, Teppei
    Nakamura, Kazuaki
    Myojin, Seiko
    Nitta, Naoko
    Babaguchi, Noboru
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 509 - 513
  • [36] Invariant Description of Rigid Body Motion Trajectories
    De Schutter, Joris
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2010, 2 (01): : 1 - 9
  • [37] On the Decomposition of Motion in the Description of Interdiffusion in a Viscoelastic Body
    Dudin, D. S.
    Keller, I. E.
    MECHANICS OF SOLIDS, 2024, 59 (07) : 3781 - 3797
  • [38] The analysis of rigid body motion from measured data
    Shiflett, GR
    Laub, AJ
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 1995, 117 (04): : 578 - 584
  • [39] Data Encoding and CNN Accurate Recognition of Human Body Motion
    Hu Q.-S.
    Zhang L.
    Ding J.
    Li S.-Y.
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2020, 49 (03): : 473 - 480
  • [40] Generating whole body motions for a biped humanoid robot from captured human dances
    Nakaoka, S
    Nakazawa, A
    Yokoi, K
    Hirukawa, H
    Ikeuchi, K
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2003, : 3905 - 3910