Roma Irawan, Ronni Yenes, Atradinal, Wilda Welis, Deby Tri Mario, Novadri Ayubi
Problem Statement and Purpose. Sensor technology plays a crucial role in enhancing sports performance assessment by providing more accurate, automated data and minimizing measurement bias for both elite and amateur athletes. However, there has been little research investigating the effectiveness of sensor-assisted hand– eye coordination tests compared with traditional methods such as the hand wall toss test. This study aims to evaluate the differences between the sensor-assisted hand–eye coordination test and the hand wall toss test, with a particular focus on variations in results by gender. Materials and Methods. The study included 113 participants aged 18–21 years enrolled in athletics courses, comprising 66 males (aged 19.45 ± 1.00 years; BMI 20.81 ± 2.44; weight 61.89 ± 8.12 kg; height 168.36 ± 6.33 cm) and 47 females (aged 19.53 ± 0.97 years; BMI 21.05 ± 2.54; weight 52.94 ± 6.80 kg; height 156.83 ± 2.60 cm). Participants first completed a sensor-assisted hand–eye coordination test, followed by a hand wall toss test three days later. These data were analyzed using multiple statistical techniques, such as descriptive statistics, correlation, regression, and independent samples t-test to examine the differences between male and female participants on both tests. Results. The findings showed that the sensor-assisted hand–eye coordination test had high coefficients (n=113; r=0.876; R2=0.767; F=365.612; t=19.121; p=0.000). High coefficients were also observed in both male participants (n=66; r=0.911; R2=0.831; F=313.685; t=17.711; p=0.000), and female participants (n=47; r=0.928; R2=0.861; F=279.225; t=16.710; p=0.000). However, no significant difference was found between male and female participants (p=0.137 and p=0.170, respectively). Conclusions. This sensor-assisted hand–eye coordination test showed consistent results and mirrored measurements from traditional assessments. The test can be recommended for collecting data on hand–eye coordination levels (such as badminton, tennis, table tennis, and other specific sports), and can be used by athletes, coaches, and related practitioners. We also suggest applying hand–eye coordination training methods that are better tailored to the characteristics of each sport, to obtain optimal performance. © JPES.
Faculty of Sport Science, Universitas Negeri Padang, Padang, Indonesia
