A real-time interaction strategy for virtual maintenance based on motion capture

被引:0
|
作者
Deng, Gangfeng [1 ]
Huang, Xianxiang [1 ]
Gao, Qinhe [1 ]
Zhu, Quanmin [1 ]
Zhang, Zhili [1 ]
Zhan, Ying [1 ]
机构
[1] Xian Res Inst High Technol, Xian 710025, Shaanxi, Peoples R China
关键词
real-time interaction strategy; virtual maintenance; motion capture; maintenance feature matrix; oriented switch;
D O I
10.1504/IJCAT.2014.062369
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a real-time interaction strategy for virtual maintenance based on motion capture system. The strategy has integrated the real-time control function of motion capture systems and reusable function of motion capture data to solve the limited captured-domain problem in the motion capture system. The main techniques for this cross boundary research include maintenance feature matrix calculation, collision detection, interpolation algorithm, oriented switch, data glove and path planning, which have overcome a number of critical issues, such as data storage, automotive generation of transition frames, transformation of operation location and shifting of control approaches. Further the research has implemented the real-time interaction control of large-domain virtual maintenance operation.
引用
收藏
页码:332 / 339
页数:8
相关论文
共 50 条
  • [31] Real-Time Human Motion Capture with Multiple Depth Cameras
    Shafaei, Alireza
    Little, James J.
    2016 13TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2016, : 24 - 31
  • [32] Exploring Visualizations in Real-time Motion Capture for Dance Education
    Tsampounaris, Georgios
    El Raheb, Katerina
    Katifori, Vivi
    Ioannidis, Yannis
    20TH PAN-HELLENIC CONFERENCE ON INFORMATICS (PCI 2016), 2016,
  • [33] Autonomous real-time model building for optical motion capture
    Rajko, S
    Qian, G
    2005 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), VOLS 1-5, 2005, : 3397 - 3400
  • [34] A Low-cost & Real-time Motion Capture System
    Chatzitofis, Anargyros
    Albanis, Georgios
    Zioulis, Nikolaos
    Thermos, Spyridon
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, : 21421 - 21426
  • [35] Real-Time Dynamic Motion Capture Using Multiple Kinects
    Baek, Seongmin
    Kim, Myunggyu
    ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING, 2017, 421 : 29 - 35
  • [36] Predicting Missing Markers in Real-Time Optical Motion Capture
    Piazza, Tommaso
    Lundstrom, Johan
    Kunz, Andreas
    Fjeld, Morten
    MODELLING THE PHYSIOLOGICAL HUMAN, 2009, 5903 : 125 - +
  • [37] Real-time computer vision on PC-cluster and its application to real-time motion capture
    Arita, D
    Yonemoto, S
    Taniguchi, R
    5TH INTERNATIONAL WORKSHOP ON COMPUTER ARCHITECTURES FOR MACHINE PERCEPTION, PROCEEDINGS, 2000, : 205 - 214
  • [38] Modosc: A Library of Real-Time Movement Descriptors for Marker-Based Motion Capture
    Dahl, Luke
    Visi, Federico
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MOVEMENT AND COMPUTING (MOCO'18), 2018,
  • [39] Vision-based real-time motion capture system using multiple cameras
    Yoshimoto, H
    Date, N
    Arita, D
    Taniguchi, R
    Yonemoto, S
    PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS, 2003, : 247 - 251
  • [40] Development of a real-time IMU-based motion capture system for gait rehabilitation
    Kong, W.
    Sessa, S.
    Cosentino, S.
    Zecca, M.
    Saito, K.
    Wang, C.
    Imtiaz, U.
    Lin, Z.
    Bartolomeo, L.
    Ishii, H.
    Ikai, T.
    Takanishi, A.
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 2100 - 2105