Жарияланымдар / Публикации

Постоянный URI для этого сообществаhttps://cris.qyzpu.kz/handle/123456789/2

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2022 - 20232

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Автор: search.filters.author.Bakһytzһan OmarovТема: search.filters.subject.physical education

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    Integrating augmented reality technology to enhance student's learning in physical education
    (2022-09-23)
    Bakһytzһan Omarov
    ;
    Baurzhan Meldibekovish Doskaraev
    ;
    Nurlan Omarov
    ;
    Balnur Kendzhaeva
    ;
    Almas Anarbayev
    In practically every professional sport, the usage of linked computerized performances and monitoring components, data analysis, augmented and virtual reality are standard things. Augmented reality in sporting is being shaped by the interaction of devices and information and communication technology advances. Nevertheless, without analysis, the data collected are useless. In the sporting industry, scientists and researchers are becoming more and more essential to human operations. Even if a variety of data, technology, new measurements, and analytics are readily available on our life, most participants in professional sports do not yet show a strong interest in sports analysis. In this study, we explore augmented reality tools in sport activities and consider augmented reality tools to improve health conditions of students at the universities.
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    A Novel Deep Neural Network to Analyze and Monitoring the Physical Training Relation to Sports Activities
    (Science and Information Organization, 2023-01-01)
    Bakһytzһan Omarov
    ;
    N.K. Nurmash
    ;
    Bauyrzhan Doskarayev
    ;
    Nagashbek Zhilisbaev
    ;
    Maxat Dairabayev
    In the research paper, authors meticulously detail the development, testing, and application of an innovative deep learning model aimed at monitoring physical activities of students in real-time. Drawing upon the advanced capabilities of convolutional neural networks (CNNs), the proposed system exhibits an exceptional ability to track, analyze, and evaluate the physical exercises performed by students, thereby providing an unprecedented scope for customization in physical education strategies. This piece of scholarly work bridges the gap between physical education and cutting-edge technology, highlighting the burgeoning role of artificial intelligence in health and fitness sector. With an expansive study spanning various cohorts of physical culture students, the paper provides compelling empirical evidence that underlines the superiority of the deep learning system over conventional methods in aspects of accuracy, speed, and efficiency of monitoring. The authors demonstrate the transformative potential of their system, capable of facilitating personalized and optimized physical training strategies based on real-time feedback. Moreover, the potential implications of the study extend beyond the realm of education and into wider public health applications, with the possibility of fostering improved health outcomes on a larger scale. This research paper makes a significant contribution to the burgeoning field of AI in physical education, embodying a paradigm shift in the approach towards physical fitness and health monitoring. It underscores the potential of AI-driven technology to revolutionize traditional methods in physical education, paving the way for more personalized and effective teaching and training regimes, and ultimately contributing to enhanced health and fitness outcomes among students.
    Цитирования (OpenAlex) 24Цитирования (OpenCitations) 16