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 original | Inglés |
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Título de la publicación alojada | Intelligent Technologies |
Subtítulo de la publicación alojada | Design and Applications for Society - Proceedings of CITIS 2022 |
Editores | Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza |
Editorial | Springer Science and Business Media Deutschland GmbH |
Páginas | 13-23 |
Número de páginas | 11 |
ISBN (versión impresa) | 9783031243264 |
DOI | |
Estado | Publicada - 2023 |
Evento | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duración: 22 jun. 2022 → 24 jun. 2022 |
Serie de la publicación
Nombre | Lecture Notes in Networks and Systems |
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Volumen | 607 LNNS |
ISSN (versión impresa) | 2367-3370 |
ISSN (versión digital) | 2367-3389 |
Conferencia
Conferencia | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 |
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País/Territorio | Ecuador |
Ciudad | Guayaquil |
Período | 22/06/22 → 24/06/22 |
Nota bibliográfica
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.