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Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation

This study investigated the explanatory power of a sensor fusion of two complementary methods to explain performance and its underlying mechanisms in ski jumping. A differential Global Navigation Satellite System (dGNSS) and a markerless video-based pose estimation system (PosEst) were used to measu...

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Autores principales: Elfmark, Ola, Ettema, Gertjan, Groos, Daniel, Ihlen, Espen A. F., Velta, Rune, Haugen, Per, Braaten, Steinar, Gilgien, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399095/
https://www.ncbi.nlm.nih.gov/pubmed/34450758
http://dx.doi.org/10.3390/s21165318
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author Elfmark, Ola
Ettema, Gertjan
Groos, Daniel
Ihlen, Espen A. F.
Velta, Rune
Haugen, Per
Braaten, Steinar
Gilgien, Matthias
author_facet Elfmark, Ola
Ettema, Gertjan
Groos, Daniel
Ihlen, Espen A. F.
Velta, Rune
Haugen, Per
Braaten, Steinar
Gilgien, Matthias
author_sort Elfmark, Ola
collection PubMed
description This study investigated the explanatory power of a sensor fusion of two complementary methods to explain performance and its underlying mechanisms in ski jumping. A differential Global Navigation Satellite System (dGNSS) and a markerless video-based pose estimation system (PosEst) were used to measure the kinematics and kinetics from the start of the in-run to the landing. The study had two aims; firstly, the agreement between the two methods was assessed using 16 jumps by athletes of national level from 5 [Formula: see text] before the take-off to 20 [Formula: see text] after, where the methods had spatial overlap. The comparison revealed a good agreement from 5 [Formula: see text] after the take-off, within the uncertainty of the dGNSS (± [Formula: see text] [Formula: see text]). The second part of the study served as a proof of concept of the sensor fusion application, by showcasing the type of performance analysis the systems allows. Two ski jumps by the same ski jumper, with comparable external conditions, were chosen for the case study. The dGNSS was used to analyse the in-run and flight phase, while the PosEst system was used to analyse the take-off and the early flight phase. The proof-of-concept study showed that the methods are suitable to track the kinematic and kinetic characteristics that determine performance in ski jumping and their usability in both research and practice.
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spelling pubmed-83990952021-08-29 Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation Elfmark, Ola Ettema, Gertjan Groos, Daniel Ihlen, Espen A. F. Velta, Rune Haugen, Per Braaten, Steinar Gilgien, Matthias Sensors (Basel) Article This study investigated the explanatory power of a sensor fusion of two complementary methods to explain performance and its underlying mechanisms in ski jumping. A differential Global Navigation Satellite System (dGNSS) and a markerless video-based pose estimation system (PosEst) were used to measure the kinematics and kinetics from the start of the in-run to the landing. The study had two aims; firstly, the agreement between the two methods was assessed using 16 jumps by athletes of national level from 5 [Formula: see text] before the take-off to 20 [Formula: see text] after, where the methods had spatial overlap. The comparison revealed a good agreement from 5 [Formula: see text] after the take-off, within the uncertainty of the dGNSS (± [Formula: see text] [Formula: see text]). The second part of the study served as a proof of concept of the sensor fusion application, by showcasing the type of performance analysis the systems allows. Two ski jumps by the same ski jumper, with comparable external conditions, were chosen for the case study. The dGNSS was used to analyse the in-run and flight phase, while the PosEst system was used to analyse the take-off and the early flight phase. The proof-of-concept study showed that the methods are suitable to track the kinematic and kinetic characteristics that determine performance in ski jumping and their usability in both research and practice. MDPI 2021-08-06 /pmc/articles/PMC8399095/ /pubmed/34450758 http://dx.doi.org/10.3390/s21165318 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Elfmark, Ola
Ettema, Gertjan
Groos, Daniel
Ihlen, Espen A. F.
Velta, Rune
Haugen, Per
Braaten, Steinar
Gilgien, Matthias
Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title_full Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title_fullStr Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title_full_unstemmed Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title_short Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation
title_sort performance analysis in ski jumping with a differential global navigation satellite system and video-based pose estimation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399095/
https://www.ncbi.nlm.nih.gov/pubmed/34450758
http://dx.doi.org/10.3390/s21165318
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