• DocumentCode
    3078744
  • Title

    A quadratic particle swarm optimization method for magnetic tracking of tongue motion in speech disorders

  • Author

    Wang, Jia ; Huo, Xueliang ; Ghovanloo, Maysam

  • Author_Institution
    NC-Bionics Lab, Department of Electrical and Computer Engineering, NCSU, Raleigh, NC, USA
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    4222
  • Lastpage
    4225
  • Abstract
    We have devised a new magnetic localization technique to accurately track 3-D tongue movements during speech and ingestion. A small permanent magnet secured on the tongue by tissue adhesives, is utilized as a tracer. The magnetic field variations due to tongue motion are detected by three 3-axis magneto-inductive sensor modules outside the mouth, and wirelessly transmitted to a computer for further processing. The tracer is modeled as a magnetic dipole, which position (x, y, z) and orientation (θ, γ) are estimated using a quadratic particle swarm optimization (PSO) algorithm. This algorithm provides faster and more reliable computation compared to the linear PSO. Statistical analysis based on hundreds of simulation and experimental results show that using this method, calculations are accelerated by a factor of three and the tracer can be localized in real-time with ∼1 mm resolution in position and 2° in orientation.
  • Keywords
    Computational modeling; Magnetic sensors; Motion detection; Mouth; Particle swarm optimization; Particle tracking; Permanent magnets; Speech; Statistical analysis; Tongue; Algorithms; Computer Peripherals; Electronics; Equipment Design; Humans; Imaging, Three-Dimensional; Magnetics; Reproducibility of Results; Software; Task Performance and Analysis; Telemetry; Tongue; Touch; Transducers; User-Computer Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650141
  • Filename
    4650141