ArticleSensors (Basel, Switzerland)2021
Performance Analysis in Ski Jumping with a Differential Global Navigation Satellite System and Video-Based Pose Estimation.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Biomechanical insights into increasing jump distance in ski jumping: a review classified by hill size.Frontiers in sports and active living · 2026Review
- The influence of suit size on performance in ski jumping. Part II: field measurements.Frontiers in sports and active living · 2026Article
- Influence of suit size and air permeability on performance in ski jumping. Part I: wind tunnel measurements.Frontiers in sports and active living · 2025Article
- Performance and jump-to-jump development in the first female ski flying competition in history.Frontiers in sports and active living · 2024Article
- Investigation of individual strategies in the aerial phase in ski jumping.Scientific reports · 2023Article
- Pose estimation and motion analysis of ski jumpers based on ECA-HRNet.Scientific reports · 2023Article
- Editorial-Special Issue on "Sensor Technology for Enhancing Training and Performance in Sport".Sensors (Basel, Switzerland) · 2023Article
- xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning.Sensors (Basel, Switzerland) · 2022Article
- Kinematic Determination of the Aerial Phase in Ski Jumping.Sensors (Basel, Switzerland) · 2022Article
- Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors.Sensors (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors.
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Abstract
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 m before the take-off to 20 m after, where the methods had spatial overlap. The comparison revealed a good agreement from 5 m after the take-off, within the uncertainty of the dGNSS (±0.05m). 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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