• DocumentCode
    2494245
  • Title

    Command detection and classification in tongue drive assistive technology

  • Author

    Sadeghian, Elnaz Banan ; Huo, Xueliang ; Ghovanloo, Maysam

  • Author_Institution
    GT-Bionics Lab., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    5465
  • Lastpage
    5468
  • Abstract
    Tongue Drive System (TDS) is a new assistive technology that enables individuals with severe disabilities such as those with spinal cord injury (SCI) to regain environmental control using their tongue motion. We have developed a new sensor signal processing (SSP) algorithm which uses four 3-axial magneto-resistive sensor outputs to accurately detect and classify between seven different user-control commands in stationary as well as mobile conditions. The new algorithm employs a two-stage classification method with a combination of 9 classifiers to discriminate between 4 commands on the left or right side of the oral cavity (one neutral command shared on both sides). Evaluation of the new SSP algorithm on five able-bodied subjects resulted in true positive rates in the range of 70-99% with corresponding false positive rates in the range of 5-7%, showing a notable improvement in the resulted true-false (TF) differences when compared to the previous algorithm.
  • Keywords
    handicapped aids; injuries; magnetoresistance; medical signal processing; neurophysiology; signal classification; -axial magneto-resistive sensor; disabilities; environmental control; false positive rates; sensor signal processing; spinal cord injury; tongue drive assistive technology; tongue drive system; tongue motion; true positive rates; two-stage classification method; Algorithm design and analysis; Cavity resonators; Classification algorithms; Magnetic sensors; Signal processing algorithms; Testing; Tongue; Equipment Design; Equipment Failure Analysis; Humans; Imaging, Three-Dimensional; Magnetics; Monitoring, Ambulatory; Movement; Self-Help Devices; Tongue; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091394
  • Filename
    6091394