• DocumentCode
    1334366
  • Title

    Tip of the Tongue Selectivity and Motor Learning in the Palatal Area

  • Author

    Caltenco, Héctor A. ; Lontis, Eugen R. ; Boudreau, Shellie A. ; Bentsen, Bo ; Struijk, Johannes ; Struijk, L. N. S. Andreasen

  • Author_Institution
    Dept. of Health Sci. & Technol., Aalborg Univ., Aalborg, Denmark
  • Volume
    59
  • Issue
    1
  • fYear
    2012
  • Firstpage
    174
  • Lastpage
    182
  • Abstract
    This study assessed the ability of the tongue tip to accurately select intraoral targets embedded in an upper palatal tongue-computer interface, using 18 able-bodied volunteers. Four performance measures, based on modifications to Fitts´s Law, were determined for three different tongue-computer interface layouts. The layouts differed with respect to number and location of the targets in the palatal interface. Assessment of intraoral target selection speed and accuracy revealed that performance was indeed dependent on the location and distance between the targets. Performances were faster and more accurate for targets located farther away from the base of the tongue in comparison to posterior and medial targets. A regression model was built, which predicted intraoral target selection time based on target location and movement amplitude better than the predicted by using a standard Fitts´s Law model. A 30% improvement in the speed and accuracy over three daily practice sessions of 30 min emphasizes the remarkable motor learning abilities of the tongue musculature and provides further evidence that the tongue is useful for operating computer-interface technologies.
  • Keywords
    biomechanics; biomedical measurement; chemioception; computer interfaces; medical computing; muscle; neurophysiology; regression analysis; Fitts law; intraoral target; intraoral target selection; motor learning; palatal area; regression model; tongue musculature; tongue tip selectivity; upper palatal tongue-computer interface; Accuracy; Coils; Indexes; Layout; Sensors; Tongue; Training; Assistive technology; Fitts’s Law; computer interfaces; human–computer interaction; motor learning; performance; throughput; tongue selectivity; Adult; Biofeedback, Psychology; Female; Humans; Learning; Movement; Palate; Task Performance and Analysis; Tongue; Touch; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2169672
  • Filename
    6029417