Real-time Tracking of Laparoscopic Instruments Using Kinect for Training in Virtual Reality

被引:0
|
作者
Owlia, Mohammadhasan [1 ,2 ]
Khabbazan, Mostafa [1 ,2 ]
Mirbagheri, M. M. [3 ,4 ]
Mirbagheri, Alireza [5 ,6 ]
机构
[1] Univ Tehran Med Sci, Res Ctr Biomed Technol & Robot, Tehran, Iran
[2] Univ Tehran, Sch Mech Engn, Tehran, Iran
[3] Univ Tehran Med Sci, Dept Med Phys & Biomed Engn, Neural Engn Res Ctr, Noorafshar Hosp, Tehran, Iran
[4] Northwestern Univ, Dept Phys Med & Rehabil, Evanston, IL 60208 USA
[5] Univ Tehran Med Sci, Res Ctr Biomed Technol & Robot, Sch Med, Tehran, Iran
[6] Univ Tehran Med Sci, Dept Med Phys & Biomed Engn, Sch Med, Tehran, Iran
关键词
BOX TRAINERS; SIMULATION; VISION;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Training of laparoscopic surgery in Virtual Reality (VR) environment has been proved as an effective step before clinical practice. Tracking the position of instruments in realtime is an essential part of developing a VR trainer. In this study, we used Microsoft Kinect and color markers instead of using similar traditional means such as mechanical sensors. The orientation and position of instruments were determined and compared with the results obtained using the SinaSim commercial laparoscopic surgery trainer, which measures these values using encoders. The final results indicated that even though the newly developed systems possess an inferior accuracy compared to the mechanical sensors, low cost and portability makes it capable of replacing traditional methods of tracking.
引用
收藏
页码:3945 / 3948
页数:4
相关论文
共 50 条
  • [31] Real-Time Gait Reconstruction For Virtual Reality Using a Single Sensor
    Feigl, Tobias
    Gruner, Lisa
    Mutschler, Christopher
    Roth, Daniel
    ADJUNCT PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR-ADJUNCT 2020), 2020, : 84 - 89
  • [32] Real-Time Motion Tracking for Mobile Augmented/Virtual Reality Using Adaptive Visual-Inertial Fusion
    Fang, Wei
    Zheng, Lianyu
    Deng, Huanjun
    Zhang, Hongbo
    SENSORS, 2017, 17 (05)
  • [33] Portable Laparoscopic Training System Using Virtual Reality
    Zahiri, Mohsen
    Nelson, Carl A.
    Siu, Ka-Chun
    JOURNAL OF MEDICAL DEVICES-TRANSACTIONS OF THE ASME, 2013, 7 (02):
  • [34] The Management of Wireless Real-Time Data Acquisition Processes Using Virtual Instruments
    Croitoru, Bogdan
    Boca, Loredana
    Tulbure, Adrian
    PROCEEDINGS OF 2010 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, QUALITY AND TESTING, ROBOTICS (AQTR 2010), VOLS. 1-3, 2010,
  • [35] Real-time simulation for a virtual reality-based MIG welding training system
    Chambers, Terrence L.
    Aglawe, Amit
    Reiners, Dirk
    White, Steven
    Borst, Christoph W.
    Prachyabrued, Mores
    Bajpayee, Abhishek
    VIRTUAL REALITY, 2012, 16 (01) : 45 - 55
  • [36] Real-time simulation for a virtual reality-based MIG welding training system
    Terrence L. Chambers
    Amit Aglawe
    Dirk Reiners
    Steven White
    Christoph W. Borst
    Mores Prachyabrued
    Abhishek Bajpayee
    Virtual Reality, 2012, 16 : 45 - 55
  • [37] A virtual mirror interface using real-time robust face tracking
    Darrell, T
    Gordon, G
    Woodfill, J
    Harville, M
    AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS, 1998, : 616 - 621
  • [38] Integrating the Microsoft Kinect With Simulink: Real-Time Object Tracking Example
    Fabian, Joshua
    Young, Tyler
    Jones, James C. Peyton
    Clayton, Garrett M.
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2014, 19 (01) : 249 - 257
  • [39] A Real-Time Human Imitation System Using Kinect
    Yongsheng Ou
    Jianbing Hu
    Zhiyang Wang
    Yiqun Fu
    Xinyu Wu
    Xiaoyun Li
    International Journal of Social Robotics, 2015, 7 : 587 - 600
  • [40] A Real-Time Human Imitation System Using Kinect
    Ou, Yongsheng
    Hu, Jianbing
    Wang, Zhiyang
    Fu, Yiqun
    Wu, Xinyu
    Li, Xiaoyun
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2015, 7 (05) : 587 - 600