• DocumentCode
    1496472
  • Title

    Evaluation of a Smartphone Platform as a Wireless Interface Between Tongue Drive System and Electric-Powered Wheelchairs

  • Author

    Kim, Jeonghee ; Huo, Xueliang ; Minocha, Julia ; Holbrook, Jaimee ; Laumann, Anne ; Ghovanloo, Maysam

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    59
  • Issue
    6
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    1787
  • Lastpage
    1796
  • Abstract
    Tongue drive system (TDS) is a new wireless assistive technology (AT) for the mobility impaired population. It provides users with the ability to drive powered wheelchairs (PWC) and access computers using their unconstrained tongue motion. Migration of the TDS processing unit and user interface platform from a bulky personal computer to a smartphone (iPhone) has significantly facilitated its usage by turning it into a true wireless and wearable AT. After implementation of the necessary interfacing hardware and software to allow the smartphone to act as a bridge between the TDS and PWC, the wheelchair navigation performance and associated learning was evaluated in nine able-bodied subjects in five sessions over a 5-week period. Subjects wore magnetic tongue studs over the duration of the study and drove the PWC in an obstacle course with their tongue using three different navigation strategies; namely unlatched, latched, and semiproportional. Qualitative aspects of using the TDS-iPhone-PWC interface were also evaluated via a five-point Likert scale questionnaire. Subjects showed more than 20% improvement in the overall completion time between the first and second sessions, and maintained a modest improvement of ~9% per session over the following three sessions.
  • Keywords
    learning (artificial intelligence); medical computing; microcomputers; smart phones; user interfaces; wheelchairs; TDS-iPhone-PWC interface; access computers; bulky personal computer; electric-powered wheelchairs; five-point Likert scale questionnaire; interfacing hardware; interfacing software; learning; magnetic tongue studs; mobility impaired population; smartphone platform evaluation; tongue drive system; unconstrained tongue motion; user interface platform; wheelchair navigation performance; wireless assistive technology; wireless interface; Calibration; Headphones; Magnetic sensors; Tongue; Training; Vectors; Wireless communication; Assistive technologies; brain–tongue–computer interfacing; environment control; quadriplegia; smartphones; tongue piercing; wheeled mobility; Cellular Phone; Computers, Handheld; Equipment Design; Equipment Failure Analysis; Humans; Man-Machine Systems; Telemetry; Tongue; Touch; User-Computer Interface; Wheelchairs;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2194713
  • Filename
    6184292