Sports Engineering最新文献_第2页

Influence of force reduction within-field variability on peak tibial accelerations using wearable inertial measurement units 利用可穿戴式惯性测量装置研究场内减力变异性对胫骨加速度峰值的影响

Sports Engineering Pub Date : 2023-10-20 DOI: 10.1007/s12283-023-00435-3

Conlan M. Burbrink, Chase M. Straw, Weston F. Floyd, Athol Thomson, Steven E. Riechman

引用次数: 0

Investigating the effect of outsole configurations on rotational and translational traction using a mechanical prosthetic foot 研究外底结构对机械假肢脚旋转和平动牵引力的影响

Sports Engineering Pub Date : 2023-10-11 DOI: 10.1007/s12283-023-00436-2

Bahador Keshvari, Long Lehoang, Veit Senner

{"title":"Investigating the effect of outsole configurations on rotational and translational traction using a mechanical prosthetic foot","authors":"Bahador Keshvari, Long Lehoang, Veit Senner","doi":"10.1007/s12283-023-00436-2","DOIUrl":"https://doi.org/10.1007/s12283-023-00436-2","url":null,"abstract":"Abstract Studded football boots and their interaction with the pitch surface play a major role in generating traction and on the risk of injuries and performance. The aim of this study was to establish a methodological framework to predict a safe zone of traction for different specific football movements in natural preloads. We measured peak pressure distribution among 17 male football players in four specific football movements (cutting 135°, sprinting, turning, and penalty kick) on artificial turf using a baseline football boot with an insole pressure sensor. A mechanical prosthetic foot was adjusted to replicate similar peak pressure distribution based on these four movements. Traction was measured under three preloads: 400, 600, and 800 N. They were lower than those measured with the players to avoid damage to the mechanical test device. This procedure was conducted for seven different outsole configurations. Rotational and translational traction was estimated for high preloads (above 2000 N) using an artificial neural network. Our findings show pressure distribution is an important bridge between subjective measurement (field tests) and objective measurement (laboratory tests) for accurate traction measurement. Artificial neural networks can aid in finding the upper and lower ranges of traction in the natural preloads. Such findings could help footwear developers, trainers, players, and governing institutions to choose an appropriate football boot outsole according to the safe zone of traction established in this study.","PeriodicalId":46387,"journal":{"name":"Sports Engineering","volume":"239 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136098526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards statistical analysis of predictive parameters in competitive speed climbing 竞技速度爬坡预测参数的统计分析

Sports Engineering Pub Date : 2023-10-05 DOI: 10.1007/s12283-023-00431-7

Dominik Pandurevic, Alexander Sutor, Klaus Hochradel

{"title":"Towards statistical analysis of predictive parameters in competitive speed climbing","authors":"Dominik Pandurevic, Alexander Sutor, Klaus Hochradel","doi":"10.1007/s12283-023-00431-7","DOIUrl":"https://doi.org/10.1007/s12283-023-00431-7","url":null,"abstract":"Abstract Competitive sport climbing progressed massively within the last quarter century. Development of technology enabling qualitative and quantitative analysis is required to withstand the challenges for athletes and trainers. This paper deals with the statistical study of a data set generated by the application of several image processing algorithms and neural networks on competition recordings. Therefore, calculated parameters are combined with random variables for the implementation of a linear mixed effect model. The resulting model enables the prediction of the end time of different athletes and the determination of its correlation with the input variables. Furthermore, analysis of velocity and path of the centre of gravity in different wall sections is done for all available speed climbing athletes. The observed data set consists of 297 runs in total divided into two subsets of 202 observations of 47 male and 95 of 25 female athletes. Among others, the statistical model was used for the validation of the measured parameters and the review and impact of proven techniques like the Tomoa skip in the start section. Likewise interesting is the high influence of the parameters, measured especially in the middle section of the wall, on the end time.","PeriodicalId":46387,"journal":{"name":"Sports Engineering","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134975036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Criterion validity and reliability of an instrumented mouthguard under pendulum impactor conditions 摆锤冲击条件下器械式护齿器的效度和可靠性

IF 1.7

Sports Engineering Pub Date : 2023-09-07 DOI: 10.1007/s12283-023-00434-4

K. Austin, Kieran Jai Nicholas, Chris M Jones, Mike Loosemore

引用次数: 0

Precision and reliability of the polar team pro computer software for analyzing heart rate variability 精度和可靠性的极地队亲计算机软件分析心率变异性

IF 1.7

Sports Engineering Pub Date : 2023-09-01 DOI: 10.1007/s12283-023-00433-5

A. Perrotta, B. D. Day, Anika J. Scott, Elizabeth A. Gnatiuk

引用次数: 0

Virtual skeleton methodology for athlete posture modification in CFD simulations CFD模拟中运动员姿态改变的虚拟骨架方法