| Title |
Training system for elite athletes / |
| Authors |
Butkevičiūtė, Eglė ; Bikulčienė, Liepa ; Blažauskas, Tomas ; Paulauskas, Andrius |
| DOI |
10.15388/DAMSS.13.2022 |
| ISBN |
9786090707944 |
| eISBN |
9786090707951 |
| Full Text |
|
| Is Part of |
DAMSS 2022: 13th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 1–3, 2022 / Lithuanian computer society, Vilnius university Institute of data science and digital technologies, Lithuanian academy of sciences.. Vilnius : Vilnius University press, 2022. p. 14.. ISBN 9786090707944. eISBN 9786090707951 |
| Abstract [eng] |
Smart coaching systems rely on decision-making and machine-learning methods and could be applied in various fields, including professional sports. From practical experience, it is known that elite athletes can have deficiencies in certain cognitive factors that may influence their performance. The aim of this research is to create a training and testing WebVR platform adjusted to professional athletes’ cognitive-mental abilities improvement. The designed system consists of two platforms: a testing environment that includes sensors, an oculus quest, two virtual reality glasses and a specialist client device; a training environment that is designed for daily use in front of a personal computer or tablet. Both platforms include three cognitive exercises: attention transfer task, anticipation task, and concentration task. In the initial phase, all athletes perform all three tasks in the testing environment and get an individualised training plan based on memory, concentration, reaction time, attention peculiarities, decision-making, focus, anticipation results and heart rate variability (HRV) results (obtained using Polar belt V10). The testing process is repeated in a month. The results have shown that, on average, participants made some improvement in all three tasks. For example, attention transfer abilities improved a few times, and for most participants, attention transfer results reached 100%. However, the analysis has shown that there was no significant difference in reaction time. |
| Published |
Vilnius : Vilnius University press, 2022 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2022 |
| CC license |
|
