Title Cognitive checkup and mental training platform for elite athletes /
Authors Butkevičiūtė, Eglė ; Bikulčienė, Liepa ; Blažauskas, Tomas ; Žemaitytė, Aistė
DOI 10.22364/bjmc.2023.11.2.03
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Is Part of Baltic journal of modern computing.. Riga : Univeristy of Latvia. 2023, vol. 11, iss. 2, p. 257-271.. ISSN 2255-8942. eISSN 2255-8950
Keywords [eng] cognitive test ; mental health ; web application ; testing platform ; personalized adaptive system
Abstract [eng] Usually, an athlete's health condition evaluation and training plan arrangement is based on physical activity. For example, it is known that training programs should include tacticalcognitive training to improve tactical knowledge. However, together with physical health condition monitoring, professional athletes should also focus on how cognitive-mental abilities like reaction times, focus, anticipation, risk taking, etc. influence their performance in competitions. The aim of this research is to create a new evaluation and testing tool to measure athlete’s cognitive abilities and prepare training that includes individualized mental exercises. This information should be provided to athletes and their coaches to improve and optimize their performance in competitions. Three different tasks were selected to evaluate cognitive abilities: concentration task, attention transfer task and anticipation task. The created testing system includes athlete’s client device, sensors, and specialist client device. All tasks can be performed using athlete’s client devices that support modern browsers. All three tasks evaluate an athlete's reaction time, concentration, memory, attention peculiarities, decision making skills, anticipation, and focus. The individualized mental abilities training plan was proposed based on the results obtained. A set of intelligent services that allow the continuous monitoring and smart coaching of athletes will be developed, focusing on the measurement of parameters related to the psychophysiological state and cognitive tests.
Published Riga : Univeristy of Latvia
Type Journal article
Language English
Publication date 2023
CC license CC license description