Marković Stefan, Dopsaj Milivoj, Tomažič Sašo, Umek Anton
Faculty of Sport and Physical Education, University of Belgrade, Belgrade 11000, Serbia.
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana 1000, Slovenia.
Appl Bionics Biomech. 2020 Jun 30;2020:7919514. doi: 10.1155/2020/7919514. eCollection 2020.
The aim of this paper is to determine the discriminative potential of the IMU-based system for the measurement of rapid hand movement properties, i.e., relevant kinematic variables in relation to different groups of participants. The measurement of the kinematics of the rapid hand movement was performed using a standard hand tapping test. The sample in this research included a total of 70 female participants and was divided into 3 subsamples. The discriminant analysis has identified two functions, DF and DF, that explain 91.1 and 8.1% of the variance, respectively. The differences between the examined subsamples originate from the variables grouped in DF, which were statistically significant ( ≤ 0.000). In relation to this function, the national volleyball team centroid position was shifted with -1.108 and -1.968 standard deviation values from the control group and youth volleyball team, respectively. The difference between control and Voll_Youth groups was -0.860 standard deviation value. The factors with the greatest discriminative potential among the groups represent the temporal characteristics of the rapid hand movement, i.e., the time elapsed between the onset of the movement and the first and second tap, as defined by the variables and , respectively. The established findings clearly indicate that IMU sensors are practically applicable in relation to the sensitive measurement of rapid arm movement capability of female athletes.
本文旨在确定基于惯性测量单元(IMU)的系统在测量快速手部运动特性方面的判别潜力,即与不同参与者群体相关的运动学变量。快速手部运动的运动学测量通过标准的手部敲击测试进行。本研究的样本共有70名女性参与者,分为3个子样本。判别分析确定了两个函数,DF1和DF2,它们分别解释了91.1%和8.1%的方差。所检查子样本之间的差异源于DF1中分组的变量,这些变量具有统计学意义(p≤0.000)。相对于该函数,国家排球队的质心位置分别比对照组和青年排球队偏移了-1.108和-1.968个标准差。对照组和青年排球队之间的差异为-0.860个标准差。各群体中具有最大判别潜力的因素代表快速手部运动的时间特征,即分别由变量T1和T2定义的运动开始与第一次和第二次敲击之间经过的时间。既定的研究结果清楚地表明,IMU传感器在女性运动员快速手臂运动能力的灵敏测量方面具有实际应用价值。