利用智能可穿戴足球鞋传感器发现足部的最佳击球点，可最大程度提高足球中踢出弧线球得分的几率。

Discovery of a Sweet Spot on the Foot with a Smart Wearable Soccer Boot Sensor That Maximizes the Chances of Scoring a Curved Kick in Soccer.

作者信息

Fuss Franz Konstantin, Düking Peter, Weizman Yehuda

机构信息

Smart Equipment Engineering and Wearable Technology Research Program, Centre for Design Innovation, Swinburne University of Technology, Melbourne, VIC, Australia.

Integrative and Experimental Training Science, Institute for Sport Sciences, Julius-Maximilians University Würzburg, Würzburg, Germany.

出版信息

Front Physiol. 2018 Feb 13;9:63. doi: 10.3389/fphys.2018.00063. eCollection 2018.

DOI:10.3389/fphys.2018.00063

PMID:29487534

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5816831/

Abstract

This paper provides the evidence of a sweet spot on the boot/foot as well as the method for detecting it with a wearable pressure sensitive device. This study confirmed the hypothesized existence of sweet and dead spots on a soccer boot or foot when kicking a ball. For a stationary curved kick, kicking the ball at the sweet spot maximized the probability of scoring a goal (58-86%), whereas having the impact point at the dead zone minimized the probability (11-22%). The sweet spot was found based on hypothesized favorable parameter ranges (center of pressure in x/y-directions and/or peak impact force) and the dead zone based on hypothesized unfavorable parameter ranges. The sweet spot was rather concentrated, independent of which parameter combination was used (two- or three-parameter combination), whereas the dead zone, located 21 mm from the sweet spot, was more widespread.

摘要

本文提供了靴子/脚部上最佳击球点的证据以及使用可穿戴压力敏感设备检测该点的方法。这项研究证实了在踢足球时，足球鞋或脚部上存在最佳击球点和击球盲点的假设。对于固定的弧线球射门，在最佳击球点踢球时进球概率最高（58 - 86%），而撞击点在击球盲点时进球概率最低（11 - 22%）。最佳击球点是根据假设的有利参数范围（x/y方向的压力中心和/或峰值冲击力）确定的，而击球盲点是根据假设的不利参数范围确定的。最佳击球点相当集中，与所使用的参数组合（双参数或三参数组合）无关，而距离最佳击球点21毫米的击球盲点则分布更广。