• DocumentCode
    139420
  • Title

    An intelligent wheelchair based on automated navigation and BCI techniques

  • Author

    Rui Zhang ; Yuanqing Li ; Yongyong Yan ; Hao Zhang ; Shaoyu Wu

  • Author_Institution
    Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    1302
  • Lastpage
    1305
  • Abstract
    In this paper, we propose an intelligent wheelchair system that relies on a brain computer interface (BCI) and automatic navigation. When in operation, candidate destinations and waypoints are automatically generated on the basis of the current environment. Then, the user selects a destination using a P300-based BCI. Finally, the navigation system plans a path and navigates the wheelchair to the determined destination. While the wheelchair is in motion, the user can issue a stop command with the BCI. Using our system, the mental burden of the user can be alleviated to a large degree. Furthermore, our system can adapt to changes in the environment. The experimental results demonstrated the effectiveness of our system.
  • Keywords
    brain-computer interfaces; control engineering computing; handicapped aids; wheelchairs; BCI techniques; P300-based BCI; automated navigation; automatic navigation; brain computer interface; candidate destinations; intelligent wheelchair; intelligent wheelchair system; mental burden; Artificial intelligence; Ash; Brain-computer interfaces; Graphical user interfaces; Navigation; Robots; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6943837
  • Filename
    6943837