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Smart football footwear for advanced performance analysis and training purposes

机译:智能足球鞋,用于高级性能分析和培训目的

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摘要

Overview and Aims Kicking performance in soccer is a major skill that can strongly influence the success of a team. Existing methods for performance and activity monitoring of the actual foot to ball impact phase during different types of the kicking have their limitations. Based on the literature, the fundamental performance criteria when kicking a ball are kicking accuracy and characteristics of the foot to ball impact phase. The study aims to identify and characterise a piezoresistive, conductive polymer that can be used as a pressure sensor for measuring impact forces in an electrical format during a kicking action. The polymer will be developed into a high resolution pressure grid which will convert raw pressure data from the foot to ball impact phase into advanced kicking parameters. The advanced parameters studied here are the movement of the centre of pressure (COPx, COPy), COP velocity (v), normal force (FN), friction force (FF), impact duration time and peak forces location. The main goal product of the study is a smart football footwear for advanced kicking performance analysis and training purposes. Methods and Development In order to select the best piezoresistive material, material characterization tests were conducted for model function selection and electrical viscosity constant. Material characterization experiments included widely used tests such as: Creep, Stress Relaxation and Strain Rate Dependency as well as a new electrical methodology developed here - Electrical Creep and the discovery of two new electrical parameters: electrical viscosity constant (ɳ) and conductive stiffness. Next, the coefficients of determination during peak impact forces with calibration functions were measured. Development, calibration and validation of the sensor array system including its prime prototypes sensors and the smart footwear followed. The instrumentation, consisting of piezoresistive material used as a novel pressure array and a programmable microcontroller, measured the magnitude of the kick force and centre of pressure (COP) with respect to a soccer boot coordinate system. Results Initial experiments proved that an off-the-shelf conductive polyurethane has piezoresistive properties and can be used as a pressure sensor. Electrical viscosity model functions and constant (ɳ ) were determined for 10 conductive polymer specimens. ɳ ranged between 0.003-0.351 or 0.3%-35.1% and all specimens were found to follow a power law function. Electrical viscosity is a characteristic that represents the decrease of electrical change over time under constant mechanical load. Subsequently, peak impact forces were measured for the same 10 specimens and their calibration functions found. The most suitable specimen was found to be Rmat1 with a coefficient of determination of 0.989 and electrical viscosity constant of 18.6%. A unique sensor array system technique was then developed and patented. Three prototypes were created, using the Rmat1 specimen, to test the functionality and feasibility of using the system for different pressure mapping applications. Based on these prototypes, the smart kicking boot was developed. For system validation, the calculated system forces against the Kistler force plate data was FK; n = 58 with residual standard deviation σR= 125.6 N (r2 = 0.91252). σR is force dependent (σR= 0.0437 FK + 70.4), i.e. between 7.5% and 9% of FK at the range of 1-2kN. COP could not be validated due to a system limitation of the Kistler force plate in calculation of impact forces. The path of the COP between the boot and the ball for two curved kicks was plotted. Results showed the movement pattern and the location of the COP and exhibited a similar curve for both kicks. Additional advanced parameters against time of one kick were then calculated (COPx, COPy, COP velocity, normal force and friction force) and used to generate a colour coded 4D vector diagram. Discussion and Conclusions Pizoresistive sensors were identified as our preferred type for further investigation. After identification of a potential material (RmatFb), the off the shelf conductive polyurethane foam was electromechanically tested for application into a smart sensing system and proved possible for use as a piezoresistive pressure sensor. Next, we tested a second specimen (Rmat1x5 layers). Results showed that mechanical viscosity in Rmat1x5 follows a logarithmic law function whereas its electrical viscosity follows a power law function so only the power function viscosities were compared and showed a higher electrical viscosity value. The specimen was found to be more electrically viscous than mechanically. This new parameter, conductive stiffness, may become a gold standard benchmark for material characterisation in the future. We then studied the electrical viscosity constant of 10 conductive polymers. Whereas mechanical viscosity is a parameter that has been previously described in the professional literature, electrical viscosity is a new parameter described here. Based on electrical viscosity characteristics, Rmat2a was found to be the most suitable specimen for further development. Subsequently, the electro mechanical peak impact forces coefficients of determination and calibration functions were determined for the same 10 specimens. Rmat1 –vinyl was found to be the most suitable material for peak impact forces measurements. Once we developed the sensor array system and algorithms for pressure data, we designed three prototypes to trial the methodology using Rmat1. We successfully tested the system through different prototypes with differing feedback signals and proved the concept’s functionality. The final sensory system aimed to measure pressure distribution between the foot and ball and to calculate advanced parameters. The COP was tested for curve kicks and the COP data were displayed on a 4D colour-coded vector diagram model of a soccer boot. The COP data was constructed from four phases of the foot to ball impact. This data reveals new information about foot to ball dynamic parameters. A unique low cost instrumented system for soccer kicking in soccer was successfully incorporated into a soccer boot, calibrated, validated and tested during a full kicking motion. The smart soccer boot is useful for counting the number of kicks, assessing the magnitude of the kick force and displaying the COP. The sensor has high resolution, is thin and flexible, wearable and light weight. The results assist to illustrate the movement of the COP during the short impact phase between the foot and the ball.
机译:概述和目标足球中的踢腿表现是一项重要技能,可以极大地影响团队的成功。现有的用于在不同类型的踢球过程中实际脚对球撞击阶段进行性能和活动监视的方法有其局限性。根据文献,踢球时的基本性能标准是踢球的准确性和脚对球撞击阶段的特征。这项研究旨在鉴定和表征压阻导电聚合物,该聚合物可用作踢脚动作期间以电子形式测量冲击力的压力传感器。聚合物将被开发成高分辨率的压力网格,它将原始压力数据从脚到球撞击阶段转换成高级的踢球参数。此处研究的高级参数是压力中心(COPx,COPy)的运动,COP速度(v),法向力(FN),摩擦力(FF),冲击持续时间和峰值力位置。该研究的主要目标产品是用于高级踢球性能分析和训练目的的智能足球鞋。方法和发展为了选择最佳的压阻材料,进行了材料表征测试,以选择模型功能和电粘度常数。材料表征实验包括广泛使用的测试,例如:蠕变,应力松弛和应变速率相关性,以及此处开发的新电气方法-电气蠕变和发现两个新的电气参数:电气粘度常数(ɳ)和导电刚度。接下来,测量具有校准功能的峰值冲击力时的确定系数。接下来是传感器阵列系统的开发,校准和验证,包括其主要原型传感器和智能鞋类。该仪器由用作新型压力阵列的压阻材料和可编程微控制器组成,相对于足球靴坐标系,测量了踢力和压力中心(COP)的大小。结果初步实验证明,现成的导电聚氨酯具有压阻性能,可用作压力传感器。确定了10个导电聚合物样品的电粘度模型函数和常数(ɳ)。的范围在0.003-0.351或0.3%-35.1%之间,并且发现所有样本都遵循幂律函数。电粘度是代表在恒定机械负载下电变化随时间减少的特性。随后,对相同的10个样品测量峰值冲击力,并找到其校准功能。发现最合适的样品是Rmat1,测定系数为0.989,电气粘度常数为18.6%。然后开发了独特的传感器阵列系统技术并申请了专利。使用Rmat1标本创建了三个原型,以测试将该系统用于不同压力绘图应用程序的功能和可行性。基于这些原型,开发了智能踢踏靴。为了进行系统验证,针对奇石乐力板数据的计算系统力为FK; n = 58,残余标准偏差σR= 125.6N(r2 = 0.91252)。 σR是与力有关的(σR = 0.437 FK + 70.4),即在1-2kN的范围内,FK为7.5%至9%。由于Kistler测力板在冲击力计算中的系统限制,因此无法验证COP。绘制了两个弯曲踢的球靴和球之间的COP路径。结果显示了COP的运动方式和位置,并且两个脚都表现出相似的曲线。然后针对一踢时间计算其他高级参数(COPx,COPy,COP速度,法向力和摩擦力),并用于生成彩色编码的4D矢量图。讨论与结论压电电阻传感器被确定为我们进一步研究的首选类型。在确定潜在材料(RmatFb)后,对机电式现成的导电聚氨酯泡沫进行了机电测试,以应用于智能传感系统中,并证明有可能用作压阻式压力传感器。接下来,我们测试了第二个样本(Rmat1x5层)。结果表明,Rmat1x5中的机械粘度遵循对数律函数,而其电气粘度遵循幂律函数,因此仅比较幂函数粘度并显示较高的电气粘度值。发现该样品比机械更粘电。这个新参数,导电刚度,将来可能会成为材料表征的金标准基准。然后,我们研究了10种导电聚合物的电粘度常数。机械粘度是专业文献中先前已经描述的参数,而电粘度是此处描述的新参数。根据电气粘度特性,发现Rmat2a是最适合进一步开发的样品。随后,针对相同的10个样品确定了确定和校准函数的电动机械峰值冲击力系数。发现Rmat1-乙烯基是最适合峰值冲击力测量的材料。一旦我们开发了用于压力数据的传感器阵列系统和算法,我们就设计了三个原型来使用Rmat1进行方法论试验。我们通过具有不同反馈信号的不同原型成功地测试了该系统,并证明了该概念的功能。最终的传感系统旨在测量脚与球之间的压力分布并计算高级参数。对COP进行了弯头踢测试,并将COP数据显示在足球靴的4D颜色编码矢量图模型上。 COP数据是从脚到球撞击的四个阶段构建的。该数据揭示了有关脚到球动力学参数的新信息。一种独特的低成本足球踢球仪表系统已成功整合到足球靴中,并在全踢球过程中进行了校准,验证和测试。智能足球靴可用于计算踢脚次数,评估踢脚力量的大小并显示COP。该传感器具有高分辨率,薄而灵活,可穿戴且重量轻的特点。结果有助于说明COP在脚和球之间的短暂撞击阶段的运动。

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    Weizman Y;

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