Insightful skiing: developing explainable models of on-snow performance through physical attribute selection of alpine skis.

IF 1.4 Q3 SPORT SCIENCES
Sports Engineering Pub Date : 2025-01-01 Epub Date: 2025-08-04 DOI:10.1007/s12283-025-00511-w
Jonathan Audet, Abdelghani Benghanem, Alexis Lussier-Desbiens
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引用次数: 0

Abstract

Evaluating alpine skis on snow is pivotal for ski development and consumer decision-making, yet it is resource-intensive and hindered by subjective assessments. Leveraging recent extensive ski physical measurements and on-snow ski evaluation metrics, this study proposes an automated methodology that employs elastic net regression, bootstrap resampling, and intelligent feature selection to predict the on-snow performance using a minimal set of physical attributes. Results on 192 skis divided into 10 categories and 29 metrics indicate promising predictive capabilities, with models exhibiting an average Mean Absolute Error rank prediction of 15%. Importantly, the models utilize less than three physical attributes on average, underscoring their simplicity and effectiveness in identifying key performance-defining properties. These findings, to the authors' knowledge, represent the most comprehensive description of ski on-snow performance to date and hold implications for ski design and consumer guidance. Moreover, the automated methodology enables the easy integration of other evaluation sources, facilitating further refinement and validation, while promising to consider the diversity of opinions related to ski on-snow performance assessment.

Supplementary information: The online version contains supplementary material available at 10.1007/s12283-025-00511-w.

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有洞察力的滑雪:通过高山滑雪板的物理属性选择,开发可解释的雪上性能模型。
在雪地上评估高山滑雪板是滑雪开发和消费者决策的关键,但它是资源密集型的,并受到主观评估的阻碍。利用最近广泛的滑雪物理测量和雪上滑雪评估指标,本研究提出了一种自动化方法,该方法采用弹性网络回归、自举重采样和智能特征选择,使用最小的物理属性集来预测雪上性能。192个滑雪板的结果分为10个类别和29个指标,显示出有希望的预测能力,模型显示平均绝对误差排名预测为15%。重要的是,这些模型平均使用不到三个物理属性,强调了它们在识别关键性能定义属性方面的简单性和有效性。这些发现,据作者所知,代表了迄今为止滑雪板在雪上性能的最全面的描述,并对滑雪板设计和消费者指导具有重要意义。此外,自动化的方法可以很容易地整合其他评估来源,促进进一步的改进和验证,同时承诺考虑与滑雪在雪性能评估相关的各种意见。补充信息:在线版本包含补充资料,提供地址为10.1007/s12283-025-00511-w。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sports Engineering
Sports Engineering SPORT SCIENCES-
CiteScore
2.40
自引率
17.60%
发文量
23
期刊介绍: Sports Engineering is an international journal publishing original papers on the application of engineering and science to sport. The journal intends to fill the niche area which lies between classical engineering and sports science and aims to bridge the gap between the analysis of the equipment and of the athlete. Areas of interest include the mechanics and dynamics of sport, the analysis of movement, instrumentation, equipment design, surface interaction, materials and modelling. These topics may be applied to technology in almost any sport. The journal will be of particular interest to Engineering, Physics, Mathematics and Sports Science Departments and will act as a forum where research, industry and the sports sector can exchange knowledge and innovative ideas.
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