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

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIntelligent Technologies
Subtítulo de la publicación alojadaDesign and Applications for Society - Proceedings of CITIS 2022
EditoresVladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas13-23
Número de páginas11
ISBN (versión impresa)9783031243264
DOI
EstadoPublicada - 2023
Evento8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador
Duración: 22 jun. 202224 jun. 2022

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen607 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia8th International Conference on Science, Technology and Innovation for Society, CITIS 2022
País/TerritorioEcuador
CiudadGuayaquil
Período22/06/2224/06/22

Nota bibliográfica

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

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