Regularity assessment of cyclic human movements: An innovative method based on wearable sensors

G. M. Scalera, M. Rabuffetti, A. Marzegan, C. Frigo, M. Ferrarin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study aims at evaluating the regularity of periodic human movements through the analysis of the autocorrelation function of accelerometric signals obtained from wearable sensors. For this purpose a method has been implemented which can run also in real-time, and it has been tested in several experimental conditions and in various motor gestures including gait. Relevant for clinical and sport applications is the fact that the autocorrelation parameters are calculated on the acceleration module, and not on the individual axial components. This allowed us to assess the regularity of periodic movements without the need of aligning the sensor axes to the anatomical axes. Finally a multi-sensor approach has been developed that can be used to simultaneously assess the regularity on different anatomical landmarks.

Original languageEnglish
Title of host publication2017 E-Health and Bioengineering Conference, EHB 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages454-457
Number of pages4
ISBN (Electronic)9781538603581
DOIs
Publication statusPublished - Jul 28 2017
Event6th IEEE International Conference on E-Health and Bioengineering, EHB 2017 - Sinaia
Duration: Jun 22 2017Jun 24 2017

Conference

Conference6th IEEE International Conference on E-Health and Bioengineering, EHB 2017
CitySinaia
Period6/22/176/24/17

Keywords

  • accelerometer
  • autocorrelation
  • gait
  • IMU
  • regularity of periodic movements

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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    Scalera, G. M., Rabuffetti, M., Marzegan, A., Frigo, C., & Ferrarin, M. (2017). Regularity assessment of cyclic human movements: An innovative method based on wearable sensors. In 2017 E-Health and Bioengineering Conference, EHB 2017 (pp. 454-457). [7995459] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EHB.2017.7995459