Load identification during object handling

H.G. Kortier, Petrus H. Veltink

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
    22 Downloads (Pure)

    Abstract

    In this paper a new concept to identify environ- mental loads during the interaction with the human body by sensing interface forces and movement is proposed. Mass and spring loads were moved by hand over a fixed height difference. Kinematic and kinetic quantities were measured between the hand and the load using an instrumented handle. Force was measured using a force transducer module, movement was measured using an accelerometer and rate gyroscope. Under the condition that the human body was actively generating force at the load, while the load was passive, the dynamic characteristics of the load could be estimated. The estimated parameter values were compared to their specified values and appeared to be accurate within 4% for both mass and spring loads.
    Original languageUndefined
    Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC ’11)
    Place of PublicationUSA
    PublisherIEEE
    Pages3500-3502
    Number of pages3
    ISBN (Print)978-1-4244-4122-8
    DOIs
    Publication statusPublished - 30 Aug 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011 - Boston Marriott Copley Place Hotel, Boston, United States
    Duration: 30 Aug 20113 Sept 2011
    Conference number: 33

    Publication series

    Name
    PublisherIEEE Engineering in Medicine & Biology Society

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011
    Abbreviated titleEMBC
    Country/TerritoryUnited States
    CityBoston
    Period30/08/113/09/11

    Keywords

    • IR-78382
    • METIS-279666
    • Inertial Sensors
    • BSS-Biomechatronics and rehabilitation technology
    • Load Identification
    • EWI-20716
    • Power Sensing

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