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 language | English |
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Title of host publication | Intelligent Technologies |
Subtitle of host publication | Design and Applications for Society - Proceedings of CITIS 2022 |
Editors | Vladimir Robles-Bykbaev, Josefa Mula, Gilberto Reynoso-Meza |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 13-23 |
Number of pages | 11 |
ISBN (Print) | 9783031243264 |
DOIs | |
State | Published - 2023 |
Event | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 - Guayaquil, Ecuador Duration: 22 Jun 2022 → 24 Jun 2022 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 607 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 8th International Conference on Science, Technology and Innovation for Society, CITIS 2022 |
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Country/Territory | Ecuador |
City | Guayaquil |
Period | 22/06/22 → 24/06/22 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Inertial
- Overweight
- Posture