Gaussian mixture modeling of acceleration-derived signal for monitoring external physical load of tennis player

HIGHLIGHTS

  • who: Methods and colleagues from the Curtin University, Australia have published the research work: Gaussian mixture modeling of acceleration-derived signal for monitoring external physical load of tennis player, in the Journal: (JOURNAL)
  • what: The authors propose a method to evaluate the external physical load of tennis player based on the histogram of acceleration-derived signal obtained from wearable inertial sensors.
  • how: Because the histogram of the processed acceleration signal showed a bimodal distribution for example high- and lowintensity peaks a Gaussian mixture model was fitted to the histogram and the model parameters . . .

     

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