Exercise Rate Estimation using a Triaxial Accelerometer

نویسندگان

  • Teddy M. Cheng
  • Andrey V. Savkin
  • Branko G. Celler
  • Steven W. Su
  • Ning Wang
چکیده

In this paper, we propose an algorithm for the estimation of exercise rate during a variety of exercises by using measurements from triaxial accelerometry. The algorithm involves the detection of the periodicity of the body’s accelerations, and the detected periods are then fused to form an estimate of exercise rate. Experimental results demonstrate that the algorithm is effective in different modes of exercise. The proposed algorithm will be useful in monitoring training exercises for healthy individuals and rehabilitation exercises for cardiac patients.

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تاریخ انتشار 2009