• DocumentCode
    1233257
  • Title

    Universal algorithm for exercise rate estimation in walking, cycling and rowing using triaxial accelerometry

  • Author

    Cheng, T.M. ; Savkin, A.V. ; Celler, B.G. ; Su, S.W. ; Wang, N.

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW
  • Volume
    45
  • Issue
    8
  • fYear
    2009
  • Firstpage
    394
  • Lastpage
    395
  • Abstract
    A technique that can reliably monitor exercise intensity plays an important role for the effectiveness and safety of an exercise prescription. A universal algorithm for the recursive estimation of exercise rate during a variety of aerobic exercises using measurements from a body-mounted triaxial accelerometer (TA) is proposed. Information about the type of exercise is not required by the algorithm and the TA can be mounted at the same location regardless of the exercise type. The algorithm involves period detection and data fusion. Experimental results demonstrate that the algorithm is effective for common aerobic exercises.
  • Keywords
    biology computing; gait analysis; recursive estimation; aerobic exercises; body-mounted triaxial accelerometer; cycling; data fusion; exercise rate estimation; period detection; recursive estimation; rowing; triaxial accelerometry; walking;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2009.3515
  • Filename
    4813153