• DocumentCode
    3758416
  • Title

    HandiViz project: Clinical validation of a driving assistance for electrical wheelchair

  • Author

    Marie Babel;Fran?ois Pasteau;Sylvain Gu?gan;Philippe Gallien;Beno?t Nicolas;Bastien Fraudet;Sophie Achille-Fauveau;Daniel Guillard

  • Author_Institution
    Lagadic Team at IRISA/Inria Rennes and INSA Rennes, France
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Autonomy and independence in daily life, whatever the impairment of mobility, constitute fundamental needs that participate to the self-esteem and the well-being of disabled people. In this context, assistive technologies are a relevant answer. To address the driving assistance issue, we propose in this paper a unified shared control framework able to smoothly correct the trajectory of the electrical wheelchair. The system integrates the manual control with sensor-based constraints by means of a dedicated optimization strategy. The resulting low-complex and low-cost embedded system is easily plugged onto on-the-shelf wheelchairs. The robotic solution has been then validated through clinical trials that have been conducted within the Rehabilitation Center of Pôle Saint Hélier (France) with 25 volunteering patients presenting different disabling neuro-pathologies. This assistive tool is shown to be intuitive and robust as it respects the user intention, it does not alter perception while reducing the number of collisions in case of hazardous maneuvers or in crowded environment.
  • Keywords
    "Wheelchairs","Robot sensing systems","Navigation","Mobile robots","Clinical trials","Trajectory"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics and its Social Impacts (ARSO), 2015 IEEE International Workshop on
  • Electronic_ISBN
    2162-7576
  • Type

    conf

  • DOI
    10.1109/ARSO.2015.7428213
  • Filename
    7428213