• DocumentCode
    2334368
  • Title

    Grasp recognition and manipulative motion characterization from human hand motion sequences

  • Author

    Kang, Sing Bing ; Ikeuchi, Katsushi

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1994
  • fDate
    8-13 May 1994
  • Firstpage
    1759
  • Abstract
    We are developing a system capable of observing a human performing a task and understanding the task well enough to replicate it. This approach is called Assembly Plan from Observation. In order to replicate the observed task, we have to analyze the entire sequence. This can be done by first segmenting the task sequence into its constituent pre-grasp, grasp, and manipulation phases. This paper describes the different analyses that can be done subsequent to the temporal segmentation. These include human grasp recognition, extraction of object motion, and the spatiofrequency (spectrogram) analysis of the manipulation phase
  • Keywords
    feature extraction; image segmentation; manipulators; motion estimation; robot programming; spectral analysis; CCD camera; assembly plan from observation; grasp recognition; human grasp recognition; human hand motion sequences; human performance; manipulative motion characterization; object motion extraction; spatiofrequency analysis; spectrogram; task sequence segmentation; temporal segmentation; Assembly systems; Automatic programming; Character recognition; Humans; Motion analysis; Path planning; Performance analysis; Robot programming; Robotic assembly; Spectrogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-8186-5330-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1994.351338
  • Filename
    351338