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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...

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Autores principales: Colombo, Alessandro, Maj, Ramon, Canina, Marita, Fedeli, Francesca, Dozio, Nicolò, Ferrise, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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