In this paper, we present results of our algorithm for automatically estimating a subject's skeletal structure from optical motion capture data. Our algorithm consists of a series of steps that cluster markers into groups representing body segments, determine their topological connectivity, and locate the positions of the connecting joints. Our results show that the system works reliably even when only one or two markers are attached to each segment. We tested an implementation of this algorithm with both passive and active motion capture data and found it to work well. Its computed skeletal estimates closely match measured values, and the algorithm behaves robustly in the presence of noise, marker occlusion, and other errors typical of motion capture data.


    Access

    Download


    Export, share and cite



    Title :

    Skeletal parameter estimation from optical motion capture data


    Contributors:
    Kirk, A.G. (author) / O'Brien, J.F. (author) / Forsyth, D.A. (author)


    Publication date :

    2005-01-01


    Size :

    127284 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Skeletal parameter estimation from optical motion capture data

    Kirk, A.G. / O'Brien, J.F. / Forsyth, D.A. | IEEE | 2005



    VEHICLE MOTION PARAMETER ESTIMATION SYSTEM

    TERASAWA TAKESHI | European Patent Office | 2016

    Free access

    TRAILER MOTION AND PARAMETER ESTIMATION SYSTEM

    XU LI / TSENG ERIC HONGTEI / PILUTTI THOMAS EDWARD et al. | European Patent Office | 2016

    Free access

    Motion and Parameter Estimation of a Free-Floating Space Object from Range Data for Motion Prediction

    Hillenbrand, Ulrich / Lampariello, Roberto | German Aerospace Center (DLR) | 2005

    Free access