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    Force Prediction Using Fingernail Imaging: An Overview

    Force Prediction Using Fingernail Imaging: An Overview


    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)
    Erschienen in:

    Informatics in Control, Automation and Robotics ; 1 ; 37-48

    Lecture Notes in Electrical Engineering ; 89 , 1

    Erscheinungsdatum :

    2011-01-01

    Format / Umfang :

    12 pages

    ISBN :

    978-3-642-19538-9 , 978-3-642-19539-6

    ISSN :

    1876-1100 , 1876-1119

    DOI :

    https://doi.org/10.1007/978-3-642-19539-6_3

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Force sensing , Haptics , Grasping Engineering , Control , Robotics and Automation , Artificial Intelligence (incl. Robotics)

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