• DocumentCode
    691842
  • Title

    The Research of Motion Capture Technology Based on Inertial Measurement

  • Author

    Bo Feng ; Xianggang Zhang ; Huilong Zhao

  • Author_Institution
    Sch. of Aeronaut. & Astronaut., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-22 Dec. 2013
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    The motion capture technologies have been widely used in the following areas: human movement science, human-computer interaction and control, medical analysis, film, game production, and etc. This paper presented a motion capture system based on inertial sensors. The system is mainly composed of the inertial sensor unit and real-time monitoring unit on PC. Meanwhile, Sensor units exchange data with PC through BSN (body sensor network). One sensor measurement unit contains a three-axis gyroscope, a three-axis accelerometer, a three-axis magnetometer and a network communication unit. The inertial sensor units are installed on the different parts of body. In the system, the inertial sensor data are collected, and then adaptive Kalman Filter algorithm is used to estimate the body gesture. The Experiments show that this way have some advantages such as: high precision, dynamic, and almost no drift. Furthermore, the data can be changed smoothly.
  • Keywords
    accelerometers; adaptive Kalman filters; body sensor networks; computerised monitoring; gyroscopes; magnetometers; motion compensation; motion estimation; BSN; adaptive Kalman Filter algorithm; body gesture; body sensor network; game production; human movement science; human-computer interaction-control; inertial measurement; inertial sensor units; medical analysis; motion capture technology; network communication unit; real-time monitoring unit; three-axis accelerometer; three-axis gyroscope; three-axis magnetometer; Accelerometers; Gyroscopes; Joints; Magnetic sensors; Quaternions; Sensor systems; Adaptive Kalman Filter algorithm; inertial sensor; motion caption; quaterions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable, Autonomic and Secure Computing (DASC), 2013 IEEE 11th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-3380-8
  • Type

    conf

  • DOI
    10.1109/DASC.2013.69
  • Filename
    6844369