• DocumentCode
    235938
  • Title

    Automated navigation system for eye-based wheelchair controls

  • Author

    Puanhvuan, Dilok ; Khemmachotikun, Sarawin ; Wechakam, Pongsakom ; Wijam, Boonyanuch ; Wongsawat, Y.

  • Author_Institution
    Dept. of Biomed. Eng., Mahidol Univ., Phuttamonthon, Thailand
  • fYear
    2014
  • fDate
    26-28 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An electric wheelchair is basically acknowledged for mobility improvement in disability patients. In some cases, their hand could not well function. They may tire easy before reaching to the desired destination. Furthermore, the safety is the most concerned issue for wheelchair control in disability patients. Therefore, this work tries to develop the prototype of the automated navigation system that could safely navigate and facilitate comfortable to the disability patients. In the proposed work, the patients could simply control the wheelchair directions (manual control mode) or select just the destination (automatic navigation mode) by using eye-based wheelchair control. The results revealed that 100% accuracy could be achieved in the trained normal subject with approximately 5 seconds of eye calibration time. The user could enter or exit the system by eye closing protocol. The wheelchair could be accurately navigated on the pre-located mapping. In addition, the obstacles could be detected and safely avoided by the developed automated navigation system.
  • Keywords
    biomedical equipment; collision avoidance; electric vehicles; handicapped aids; medical control systems; patient care; wheelchairs; accurate wheelchair navigation; automated navigation system prototype; automatic navigation mode; comfortabled disabled patient navigation; destination selection; disability patients; disabled patient mobility improvement; electric wheelchair; eye calibration time; eye closing protocol; eye-based wheelchair controls; manual control mode; obstacle detection; prelocated wheelchair mapping; safe disabled patient navigation; trained normal subject; wheelchair direction control; wheelchair safety; wheelchair user entry; wheelchair user exit; Accuracy; Cameras; Computers; Diseases; Robots; Switches; Training; Wheelchair navigation; disability patient; eye control; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2014 7th
  • Conference_Location
    Fukuoka
  • Type

    conf

  • DOI
    10.1109/BMEiCON.2014.7017444
  • Filename
    7017444