• DocumentCode
    3078867
  • Title

    Shared control strategies for obstacle avoidance tasks in an intelligent wheelchair

  • Author

    Trieu, Hoang T. ; Nguyen, Hung T. ; Willey, Keith

  • Author_Institution
    Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    4254
  • Lastpage
    4257
  • Abstract
    In this paper we present a method of shared control strategy for an intelligent wheelchair to assist a disable user in performing obstacle avoidance tasks. The system detects obstacles in front of the wheelchair using a laser range finder sensor. As the wheelchair moves the information from the laser range finder is combined with data from the encoders mounted in its driving wheels to build a 360° real-time map. The accuracy of the map is improved by eliminating the systematic error that would result from both the uncertainty of effective wheelbase and unequal driving wheel diameters. The usable wheelchair accessible space is determined by including the actual wheelchair dimensions in producing the real-time map. In making a decision the shared control method considers the user´s intentions via the head-movement interface, accessible space of the environment and user safety. The experiments show promising results in the intelligent wheelchair system.
  • Keywords
    Australia; Intelligent sensors; Intelligent systems; Navigation; Safety; Sensor systems; Space technology; Uncertainty; Wheelchairs; Wheels; Algorithms; Avoidance Learning; Bayes Theorem; Calibration; Disabled Persons; Equipment Design; Feedback; Humans; Man-Machine Systems; Models, Statistical; Neural Networks (Computer); Personal Autonomy; Reproducibility of Results; Task Performance and Analysis; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650149
  • Filename
    4650149