Integrating Ski Material Properties with Skier Dynamics for a Personalization Algorithm

The aim of this study is to present an integrated approach to ski personalization by combining a detailed material and geometric characterization of ski structure with real-time on-slope dynamic performance data. Longitudinal and torsional stiffness were selected as the basic material parameters for a wide range of skis with different application profiles. Acceleration graphs for turns were synchronized with video footage recorded by a drone, which provided real-time monitoring of the skiers’ actual course and facilitated the precise correlation between kinematic data and on-slope performance. To estimate style similarity between different skiers, the Pearson correlation coefficient was utilized due to its robust mathematical properties. Comprehensive analyses helped to finally formulate a multistage ski personalization algorithm.

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Publication Details

Journal
Applied Sciences
Published
2026-01-08
DOI
https://doi.org/10.3390/app16020676
Primary Topic
Winter Sports Injuries and Performance
Type
article
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article

Integrating Ski Material Properties with Skier Dynamics for a Personalization Algorithm

Tomasz Józefiak, Ryszard Korycki, Paulina Maślanka
Applied Sciences
Winter Sports Injuries and Performance
article

Integrating Ski Material Properties with Skier Dynamics for a Personalization Algorithm

Tomasz Józefiak, Ryszard Korycki, Paulina Maślanka
article en

Abstract

The aim of this study is to present an integrated approach to ski personalization by combining a detailed material and geometric characterization of ski structure with real-time on-slope dynamic performance data. Longitudinal and torsional stiffness were selected as the basic material parameters for a wide range of skis with different application profiles. Acceleration graphs for turns were synchronized with video footage recorded by a drone, which provided real-time monitoring of the skiers’ actual course and facilitated the precise correlation between kinematic data and on-slope performance. To estimate style similarity between different skiers, the Pearson correlation coefficient was utilized due to its robust mathematical properties. Comprehensive analyses helped to finally formulate a multistage ski personalization algorithm.

Applied SciencesVol. 16(2)
Lodz University of Technology (PL), Institute of Mathematics (PL)
Openalex Percentile: Top 94%
Winter Sports Injuries and Performance
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