» Articles » PMID: 37299807

Wearable and Non-Invasive Sensors for Rock Climbing Applications: Science-Based Training and Performance Optimization

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Jun 10
PMID 37299807
Authors
Affiliations
Soon will be listed here.
Abstract

Rock climbing has evolved from a method for alpine mountaineering into a popular recreational activity and competitive sport. Advances in safety equipment and the rapid growth of indoor climbing facilities has enabled climbers to focus on the physical and technical movements needed to elevate performance. Through improved training methods, climbers can now achieve ascents of extreme difficulty. A critical aspect to further improve performance is the ability to continuously measure body movement and physiologic responses while ascending the climbing wall. However, traditional measurement devices (e.g., dynamometer) limit data collection during climbing. Advances in wearable and non-invasive sensor technologies have enabled new applications for climbing. This paper presents an overview and critical analysis of the scientific literature on sensors used during climbing. We focus on the several highlighted sensors with the ability to provide continuous measurements during climbing. These selected sensors consist of five main types (body movement, respiration, heart activity, eye gazing, skeletal muscle characterization) that demonstrate their capabilities and potential climbing applications. This review will facilitate the selection of these types of sensors in support of climbing training and strategies.

Citing Articles

Towards Automatic Object Detection and Activity Recognition in Indoor Climbing.

Vrzakova H, Koskinen J, Andberg S, Lee A, Amon M Sensors (Basel). 2024; 24(19).

PMID: 39409520 PMC: 11479384. DOI: 10.3390/s24196479.


Detection of Lowering in Sport Climbing Using Orientation-Based Sensor-Enhanced Quickdraws: A Preliminary Investigation.

Moaveninejad S, Janes A, Porcaro C Sensors (Basel). 2024; 24(14).

PMID: 39065974 PMC: 11280810. DOI: 10.3390/s24144576.


Climbing Technique Evaluation by Means of Skeleton Video Stream Analysis.

Beltran Beltran R, Richter J, Kostermeyer G, Heinkel U Sensors (Basel). 2023; 23(19).

PMID: 37837046 PMC: 10574944. DOI: 10.3390/s23198216.


Gaze Estimation Based on Convolutional Structure and Sliding Window-Based Attention Mechanism.

Li Y, Chen J, Ma J, Wang X, Zhang W Sensors (Basel). 2023; 23(13).

PMID: 37448073 PMC: 10346721. DOI: 10.3390/s23136226.

References
1.
Watts P . Physiology of difficult rock climbing. Eur J Appl Physiol. 2004; 91(4):361-72. DOI: 10.1007/s00421-003-1036-7. View

2.
Breen M, Reed T, Breen H, Osborne C, Breen M . Integrating Wearable Sensors and Video to Determine Microlocation-Specific Physiologic and Motion Biometrics-Method Development for Competitive Climbing. Sensors (Basel). 2022; 22(16). PMC: 9412409. DOI: 10.3390/s22166271. View

3.
Orth D, Kerr G, Davids K, Seifert L . Analysis of Relations between Spatiotemporal Movement Regulation and Performance of Discrete Actions Reveals Functionality in Skilled Climbing. Front Psychol. 2017; 8:1744. PMC: 5635808. DOI: 10.3389/fpsyg.2017.01744. View

4.
Sanchez X, Lambert P, Jones G, Llewellyn D . Efficacy of pre-ascent climbing route visual inspection in indoor sport climbing. Scand J Med Sci Sports. 2010; 22(1):67-72. DOI: 10.1111/j.1600-0838.2010.01151.x. View

5.
Dong J . The role of heart rate variability in sports physiology. Exp Ther Med. 2016; 11(5):1531-1536. PMC: 4840584. DOI: 10.3892/etm.2016.3104. View