• DocumentCode
    2380909
  • Title

    Estimation of human finger tapping forces based on a fingerpad-stiffness model

  • Author

    Shima, Keisuke ; Tamura, Yasuhiro ; Tsuji, Toshio ; Kandori, Akihiko ; Yokoe, Masaru ; Sakoda, Saburo

  • Author_Institution
    Grad. Sch. of Eng., Hiroshima Univ., Higashi-hiroshima, Japan
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2663
  • Lastpage
    2667
  • Abstract
    This paper proposes a method of estimating fingertip forces in finger tapping movements based on human fingerpad characteristics. Since the human fingerpad exhibits elasticity, the proposed technique recreates the relationship between the fingertip force and the displacement generated between the thumb and index fingerpads as a fingerpad-stiffness model. Then, using this model, the force between the two fingertips (the fingertip force) can be estimated from the measured fingerpad deformation only. As the method does not require any sensors to be attached to the finger contact surface to measure fingertip force, it can be used to evaluate the tendency of force in natural and unconstrained finger tapping movements conducted by the subject. In the experiments conducted, fingertip forces and the displacement of the two fingerpads generated when the subjects pinched and pushed a force sensor with the thumb and index finger were measured to approximate the relationships between fingerpad force and deformation. The results indicated that human fingerpad characteristics can be expressed using a fingerpad-stiffness function (including an exponential function), and that fingerpad forces can be estimated using the proposed model. Furthermore, comparison between a Parkinson´s disease (PD) patient and a healthy subject confirmed differences in the finger tapping forces for each. This implies the possibility of assessing motor function in PD patients using the finger tapping force evaluation method proposed in this paper.
  • Keywords
    biomechanics; diseases; elastic deformation; elasticity; mechanical contact; neurophysiology; Parkinson disease; finger contact surface; finger tapping movements; fingerpad deformation; fingerpad elasticity; fingerpad-stiffness model; fingertip force; human finger tapping force estimation; motor function; Adult; Aged; Algorithms; Elasticity; Equipment Design; Female; Fingers; Humans; Male; Models, Statistical; Movement; Parkinson Disease; Signal Processing, Computer-Assisted; Thumb; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332864
  • Filename
    5332864