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Displacement profile estimation using low cost inertial motion sensors with applications to sporting and rehabilitation exercises

Conference Paper


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Abstract


  • This paper investigates two methods of

    displacement estimation using sampled acceleration and

    orientation data from a 6 degrees of freedom (DOF) Inertial

    Measurement Unit (IMU), with the application to sporting

    training and rehabilitation. Currently, the use of low cost IMUs

    for this particular application is very impractical due to the

    accumulation of errors from various sources. Previous studies

    and projects that have applied IMUs to similar applications

    have used a lower number of DOF, or have used higher

    accuracy navigational grade IMUs. Solutions to the

    acceleration noise accumulation and gyroscope angle error

    problem are proposed in this paper. A zero velocity update

    algorithm (ZUPT) is also developed to improve the accuracy of

    displacement estimation with a low grade IMU. The

    experimental results from this study demonstrate the feasibility

    of using an IMU with loose tolerances to determine the

    displacement. Peak distances of a range of exercises are shown

    to be measured with accuracies within 5% for the numerical

    integration methods.

Publication Date


  • 2013

Citation


  • J. Coyte, D. A. Stirling, M. Ros, H. Du & A. Gray, "Displacement profile estimation using low cost inertial motion sensors with applications to sporting and rehabilitation exercises," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 1290-1295.

Scopus Eid


  • 2-s2.0-84883736739

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2272&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1263

Has Global Citation Frequency


Start Page


  • 1290

End Page


  • 1295

Place Of Publication


  • United States

Abstract


  • This paper investigates two methods of

    displacement estimation using sampled acceleration and

    orientation data from a 6 degrees of freedom (DOF) Inertial

    Measurement Unit (IMU), with the application to sporting

    training and rehabilitation. Currently, the use of low cost IMUs

    for this particular application is very impractical due to the

    accumulation of errors from various sources. Previous studies

    and projects that have applied IMUs to similar applications

    have used a lower number of DOF, or have used higher

    accuracy navigational grade IMUs. Solutions to the

    acceleration noise accumulation and gyroscope angle error

    problem are proposed in this paper. A zero velocity update

    algorithm (ZUPT) is also developed to improve the accuracy of

    displacement estimation with a low grade IMU. The

    experimental results from this study demonstrate the feasibility

    of using an IMU with loose tolerances to determine the

    displacement. Peak distances of a range of exercises are shown

    to be measured with accuracies within 5% for the numerical

    integration methods.

Publication Date


  • 2013

Citation


  • J. Coyte, D. A. Stirling, M. Ros, H. Du & A. Gray, "Displacement profile estimation using low cost inertial motion sensors with applications to sporting and rehabilitation exercises," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 1290-1295.

Scopus Eid


  • 2-s2.0-84883736739

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2272&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1263

Has Global Citation Frequency


Start Page


  • 1290

End Page


  • 1295

Place Of Publication


  • United States