Algorithm for the comparison of human periodic movements using wearable devices Articles uri icon

authors

  • BURBANO-FERNANDEZ, MARLON
  • SANDOVAL-SERNA, JHOANA
  • RIASCOS, YILTON
  • MUÑOZ ORGANERO, MARIO
  • THILAGARAJ, M.
  • VENKATARAMAN, V.
  • ARUNKUMAR, N.
  • RAMIREZ GONZALEZ, GUSTAVO

publication date

  • December 2021

start page

  • 1

end page

  • 18

volume

  • 2021

International Standard Serial Number (ISSN)

  • 2040-2295

abstract

  • In the context of teaching-learning of motor skills in a virtual environment, videos are generally used. -e person who wants to
    learn a certain movement watches a video and tries to perform the activity. In this sense, feedback is rarely thought of. -is article
    proposes an algorithm in which two periodic movements are compared, the one carried out by an expert and the one carried out
    by the person who is learning, in order to determine how closely these two movements are performed and to provide feedback
    from them. -e algorithm starts from the capture of data through a wearable device that yields data from an accelerometer; in this
    case, the data of the expert and the data of the person who is learning are captured in a dataset of salsa dance steps. Adjustments are
    made to the data in terms of Pearson iterations, synchronization, filtering, and normalization, and DTW, linear regression, and
    error analysis are used to make the corresponding comparison of the two datasets. With the above, it is possible to determine if the
    cycles of the two signals coincide and how closely the learner's movements resemble those of the expert.

subjects

  • Telecommunications