The Training System of Athletes With Disabilities in Strength Sports

Roztorhui, Mariia; Perederiy, Alina; Briskin, Yuriy; Tovstonoh, Olexandr

doi:10.5550/sgia.181401.en.rpy

Cited by 6 publications

(5 citation statements)

References 10 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Human-centered technology [16][17][18] and product design have always been the focus of scientific research personnel and scientific research institutions. e application of computer vision technology in sports training has just started.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Cui

2021

Mobile Information Systems

View full text Add to dashboard Cite

All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.

show abstract

Section: Introductionmentioning

confidence: 99%

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Cui

2021

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Рівень спортивних результатів, що демонструють спортсмени на міжнародній арені у класичному пауерліфтингу висуває високі вимоги до фізичної підготовленості та фактично перебуває на межі фізичних можливостей спортсменів [6,10,11]. Наукові дослідження ряду фахівців яскраво демонструють, що резерви до удосконалення фізичної підготовленості спортсменів у пауерліфтингу є обмежені [1,3,5]. Один з найбільш популярних шляхів, який полягає у систематичному збільшенні обсягу та інтенсивності навантаження, на сьогодні дозволяє покращувати фізичну підготовленість виключно кваліфікованих пауерліфтерів [7,10,11].…”

Section: Roztorhui Mariia S Tovstonoh O F Hladkyi V Zubrytskyi Ya Ya...unclassified

“…Виклад основного матеріалу дослідження. Впродовж останнього десятиліття науковці активно проводять дослідження у напрямку пошуку нових шляхів покращення фізичної підготовленості спортсменів високої кваліфікації у класичному пауерліфтингу [3,4,6,8,11]. Одним із таких шляхів покращення фізичної підготовленості, на думку фахівців, є застосування у підготовці спортсменів нестандартних засобів підготовки, зокрема засобів зі змінною величиною опору [1,3,6,8].…”

Section: Roztorhui Mariia S Tovstonoh O F Hladkyi V Zubrytskyi Ya Ya...unclassified

“…Судді оцінюють розвиток м'язових груп, гнучкість, темп виконання змагальних вправ, технічну досконалість, елегантність і грацію [3]. Учасники можуть використовувати невеликі реквізити, пов'язані з їхніми костюмами.…”

Section: Simchenko Andriy Dovgych Oleksandr the Use Of Polyenaturated...unclassified

See 1 more Smart Citation

Justification of the Main Ways to Improve the Physical Training of Athletes for Classic Powerlifting

Roztorhui,

Tovstonoh,

Hladkyi

et al. 2023

PCS

View full text Add to dashboard Cite

The analysis of available scientific knowledge shows that the practice of sports requires finding ways to improve the physical fitness of athletes in classical powerlifting at the stage of maximum realization of individual capabilities. Scientific research by a number of specialists clearly demonstrates that the reserves for improving the physical fitness of athletes in powerlifting are limited. One of the most popular ways, which consists in systematically increasing the volume and intensity of the load, currently allows improving the physical fit ness of only qualified powerlifters.The aim of research is to reveal the problematic field of physical training of athletes in powerlifting and ways of its improvement. In order to solve the set goal, we used the following research methods: analogy, analysis, synthesis, abstraction, induction, extrapolation, generalization of practical experience, pedagogical methods (observation). As a result of the study, it was established that the physical training of athletes in powerlifting is one of the most important factors influencing the effectiveness of the competitive activity of athletes, which justifies the need to find new effective ways to improve it. One of these ways, according to scientists, can be the use of training effects with a variable amount of resistance in classic powerlifting. In the scientific and methodological literature, the effectiveness of using tools with a variable amount of resistance is substantiated on the example of one competitive exercise. It remains relevant to determine the effectiveness and features of the use of means with a variable amount of resistance on the strength indicators of athletes in other competitive exercises of classical powerlifting. Physical training of athletes in powerlifting as a factor of the highest effective significance today requires improvement by substantiating the structure and content of the program of physical training of highly qualified athletes using training effects with a variable amount of resistance in classical powerlifting and identifying the degree of influence of the author's program on the physical preparedness of athletes in classical powerlifting on stage of maximum realization of individual capabilities.

show abstract

“…Athletes must be able to compete in order to participate. Only in this manner will they be able to convey the concept of greater, faster, and more intense sports competition [17]. Athletes must, as a result, link their training to competition and adapt and resolve when their level of competition fluctuates.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Physical Training of Athletes Based on Parametric Bayesian Estimation in the Context of Big Data

Xia³

2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Athletes must maintain their physical fitness in order to compete in any sport. The event can be organized for a single person or multiple people. Irrespective of the number of people or team participation in a sport, the people should have perfect training. The performance and physical fitness of the candidate will be measured under various categories, and the data will be stored in the database. The data to be collected about each event, player, coach, and others will result in the creation of big data with the aid of artificial intelligence and wireless networking. Wireless networking aids in the collection of data around the globe in a shorter period with the aid of intelligent servers. In this study, a recursive Bayesian estimation algorithm is implemented to perform the analysis of training and testing of the athlete’s performance with physical training. The proposed algorithm achieved an accuracy of 99%, which is a minimum increase in nine (09) percentage points over the neural network and an 18% growth over the fuzzy set model. The proposed models are able to analyze players’ success at a higher level based on their scores at each factor level. The experimental results show that the proposed model outperforms well in enhancing player performance.

show abstract

The Training System of Athletes With Disabilities in Strength Sports

Cited by 6 publications

References 10 publications

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Intelligent Sports Training System Based on Artificial Intelligence and Big Data

Justification of the Main Ways to Improve the Physical Training of Athletes for Classic Powerlifting

The Effect of Physical Training of Athletes Based on Parametric Bayesian Estimation in the Context of Big Data

Contact Info

Product

Resources

About