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Design of a sensor network for the quantitative analysis of sport climbing
We describe the design of a modular sensorized climbing wall for motion analysis in a naturalistic environment. The wall is equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists, to gain insig...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986317/ https://www.ncbi.nlm.nih.gov/pubmed/36891129 http://dx.doi.org/10.3389/fspor.2023.1114539 |
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author | Colombo, Alessandro Maj, Ramon Canina, Marita Fedeli, Francesca Dozio, Nicolò Ferrise, Francesco |
author_facet | Colombo, Alessandro Maj, Ramon Canina, Marita Fedeli, Francesca Dozio, Nicolò Ferrise, Francesco |
author_sort | Colombo, Alessandro |
collection | PubMed |
description | We describe the design of a modular sensorized climbing wall for motion analysis in a naturalistic environment. The wall is equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists, to gain insights into the quality of motion. A specifically designed triaxial load cell is integrated into each hold placement, invisible to the climber, and compatible with standard climbing holds. Data collected through the sensors is sent to an app running on a portable device. The wall can be adapted to different uses. To validate our design, we recorded a repeated climbing activity of eleven climbers with varying degrees of expertise. Analysis of the interaction forces during the exercise demonstrates that the sensor network design can provide valuable information to track and analyze exercise performance changes over time. Here we report the design process as well as the validation and testing of the sensorized climbing wall. |
format | Online Article Text |
id | pubmed-9986317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99863172023-03-07 Design of a sensor network for the quantitative analysis of sport climbing Colombo, Alessandro Maj, Ramon Canina, Marita Fedeli, Francesca Dozio, Nicolò Ferrise, Francesco Front Sports Act Living Sports and Active Living We describe the design of a modular sensorized climbing wall for motion analysis in a naturalistic environment. The wall is equipped with force sensors to measure interaction forces between the athlete and the wall, which can be used by experienced instructors, athletes, or therapists, to gain insights into the quality of motion. A specifically designed triaxial load cell is integrated into each hold placement, invisible to the climber, and compatible with standard climbing holds. Data collected through the sensors is sent to an app running on a portable device. The wall can be adapted to different uses. To validate our design, we recorded a repeated climbing activity of eleven climbers with varying degrees of expertise. Analysis of the interaction forces during the exercise demonstrates that the sensor network design can provide valuable information to track and analyze exercise performance changes over time. Here we report the design process as well as the validation and testing of the sensorized climbing wall. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986317/ /pubmed/36891129 http://dx.doi.org/10.3389/fspor.2023.1114539 Text en © 2023 Colombo, Maj, Canina, Fedeli, Dozio and Ferrise. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Sports and Active Living Colombo, Alessandro Maj, Ramon Canina, Marita Fedeli, Francesca Dozio, Nicolò Ferrise, Francesco Design of a sensor network for the quantitative analysis of sport climbing |
title | Design of a sensor network for the quantitative analysis of sport climbing |
title_full | Design of a sensor network for the quantitative analysis of sport climbing |
title_fullStr | Design of a sensor network for the quantitative analysis of sport climbing |
title_full_unstemmed | Design of a sensor network for the quantitative analysis of sport climbing |
title_short | Design of a sensor network for the quantitative analysis of sport climbing |
title_sort | design of a sensor network for the quantitative analysis of sport climbing |
topic | Sports and Active Living |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986317/ https://www.ncbi.nlm.nih.gov/pubmed/36891129 http://dx.doi.org/10.3389/fspor.2023.1114539 |
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