Year: 2026
Type: article
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.
Source: Applied Sciences
DOI: 10.3390/app16020676
Institution: Lodz University of Technology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,896
Funder: Politechnika Lódzka
OpenAlex ID: W7119470241
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