• DocumentCode
    1784005
  • Title

    Design of a Kinect Sensor Based Posture Recognition System

  • Author

    Chia Wen Chang ; Min Da Nian ; Yi Fang Chen ; Ching Ho Chi ; Chin Wang Tao

  • Author_Institution
    Dept. of Inf. & Telecommun. Eng., Ming Chuan Univ., Taoyuan, Taiwan
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    856
  • Lastpage
    859
  • Abstract
    The posture recognition system based on Kinect sensor system is developed in this paper. The proposed posture recognition system contains semaphore signals, Kinect 3D sensor system, and self-organizing maps algorithm (SOM). The human-robot interaction is an intuitive and easy operation by posture recognition. However, there are not uniform postures to be a control action criterion. The flag semaphores are adopted in this paper. Then, information of skeleton point is collected by Kinect sensor. The SOM is utilized to analysis the posture information and to recognize the semaphore signal. In experiments, it notes that the posture recognition system can be accomplished to recognize the related semaphore signal.
  • Keywords
    human-robot interaction; image sensors; pose estimation; self-organising feature maps; Kinect 3D sensor system; Kinect sensor based posture recognition system; SOM; flag semaphores; human-robot interaction; posture recognition; self-organizing maps algorithm; semaphore signal recognition; Human-robot interaction; Image recognition; Robot sensing systems; Self-organizing feature maps; Skeleton; Testing; Three-dimensional displays; Image Recognition; Kinect; SOM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-5389-9
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2014.216
  • Filename
    6998462