Abstract This paper presents a method for automatically calibrating a fingernail imaging system used to detect arbitrary three-dimensional force on the human fingerpad. The calibration is accomplished using a Magnetic Levitation Haptic Device modified to apply calibrated forces through a flat plate to the fingerpad. The technique explained here is shown to accurately predict arbitrary shear force with RMS error of 0.3 N (which is 3% of the full range of ±5 N) and normal force with RMS error of 0.5 N (which is 5% of the full range of 0 − 10 N). The paper also demonstrates the model and explains some of the methods used to compensate for nonlinearities in the fingernail coloration response.


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    Titel :

    Force Prediction Using Fingernail Imaging: An Overview


    Beteiligte:
    Grieve, Tom (Autor:in) / Sun, Yu (Autor:in) / Hollerbach, John M. (Autor:in) / Mascaro, Stephen A. (Autor:in)


    Erscheinungsdatum :

    01.01.2011


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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