Design of a sensor network for the quantitative analysis of sport climbing.

instrumented climbing hold motion analysis performance sensors sport climbing

Journal

Frontiers in sports and active living
ISSN: 2624-9367
Titre abrégé: Front Sports Act Living
Pays: Switzerland
ID NLM: 101765780

Informations de publication

Date de publication:
2023
Historique:
received: 21 12 2022
accepted: 31 01 2023
entrez: 9 3 2023
pubmed: 10 3 2023
medline: 10 3 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36891129
doi: 10.3389/fspor.2023.1114539
pmc: PMC9986317
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1114539

Informations de copyright

© 2023 Colombo, Maj, Canina, Fedeli, Dozio and Ferrise.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Alessandro Colombo (A)

Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milano, Italy.

Ramon Maj (R)

Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milano, Italy.

Marita Canina (M)

Department of Design, Politecnico di Milano, Milano, Italy.

Francesca Fedeli (F)

Fightthestroke Foundation ETS, Milano, Italy.

Nicolò Dozio (N)

Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy.

Francesco Ferrise (F)

Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy.

Classifications MeSH