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    iMachine: Measuring Manual Wheelchair Mass Properties

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    Eicholtz_etal_iMachine_Poster_GTResearch and Innovation Conference2010.pdf (2.186Mb)
    Date
    2010
    Author
    Eicholtz, Matthew
    Sprigle, Stephen
    Ferri, Al
    Caspall, Jayme
    Dao, Phuc
    Wang, Stan
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    Abstract
    Mass properties are important parameters in dynamic systems analysis, but may be difficult to estimate for irregularly-shaped objects. Specifically, the iMachine is designed to analyze manual wheelchairs in an effort to determine the propulsion efficiency using the Anatomical Model Propulsion System (AMPS).
    URI
    http://hdl.handle.net/1853/36798
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    • Center for Assistive Technology and Environmental Access (CATEA) Publications [83]

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