• DocumentCode
    3745739
  • Title

    Application of Sensor Information Integration in Human Motion Capture and Recognition

  • Author

    Liu Zhuo-Fu;Liu Xue;Luo Zhong-Ming;Hong Zhao;Su Ting

  • Author_Institution
    Higher Educ. key Lab. for Meas. &
  • fYear
    2015
  • Firstpage
    1807
  • Lastpage
    1811
  • Abstract
    In this paper, the acceleration sensor and angular velocity sensor were combined to collect the data during the human body movement. Features were selected through time-domain analysis. Using the Bayesian classifier, the human body current posture is classified. Compared with human motion gesture recognition method based on the computer vision and image processing technology, inertial-motion-sensor-based human motion gesture recognition and monitoring technology has its advantages including privacy protection and easy wear ability.
  • Keywords
    "Acceleration","Angular velocity","Feature extraction","Bayes methods","Senior citizens","Time-domain analysis","Data mining"
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/IMCCC.2015.384
  • Filename
    7406166