<p>We report here the development of a&#xa0;technique for predicting a&#xa0;person’s wellbeing based on double-step accelerograms obtained using a&#xa0;smartphone while walking. Measurements of double steps with a&#xa0;smartphone were made with the device positioned without rigid fixation in the front pocket of lower body clothing. The value of the metric F1-score for the found structure of the vocal regressor was 0.86 for predicting lower back pain.</p>

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Predicting changes in wellbeing based on gait data

  • N. V. Dorofeev,
  • R. V. Sharapov,
  • M. S. Goryachev,
  • V. O. Sergeeva

摘要

We report here the development of a technique for predicting a person’s wellbeing based on double-step accelerograms obtained using a smartphone while walking. Measurements of double steps with a smartphone were made with the device positioned without rigid fixation in the front pocket of lower body clothing. The value of the metric F1-score for the found structure of the vocal regressor was 0.86 for predicting lower back pain.