Comparison of Biomechanical Conditions in Persons with Overweight Between 18 and 35 Years Old to Obtain Characteristic Curves with the Use of Inertial Sensors

Gerson Moreta, Diego Ortega, Víctor Cabrera

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This article analyze gait in healthy subjects with a body mass index greater than 25, classifying them according to the World Health Organization as overweight people, and according to their range at different levels. The Xsens Awinda sensors are placed in 5 different parts of the lower body, these being: the center of gravity, quadriceps, and anterior tibialis, a 10-m walk test is performed. In this way it is possible to determine the characteristic curves for each part of the body and through the analysis, the knee graphs. The gait patterns are obtained for each subject, which are analyzed in conjunction with a database for people who do not present this condition, resulting in comparison graphs, and the error in their approximation, thus determining the existence of a gait pattern.

Original languageEnglish
Title of host publicationIntelligent Technologies
Subtitle of host publicationDesign and Applications for Society - Proceedings of CITIS 2022
EditorsVladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
PublisherSpringer Science and Business Media Deutschland GmbH
Pages13-23
Number of pages11
ISBN (Print)9783031243264
DOIs
StatePublished - 2023
Event8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador
Duration: 22 Jun 202224 Jun 2022

Publication series

NameLecture Notes in Networks and Systems
Volume607 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
Country/TerritoryEcuador
CityGuayaquil
Period22/06/2224/06/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Inertial
  • Overweight
  • Posture

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