Development of Deep Learning Enabled Augmented Reality Framework for Monitoring the Physical Quality Training of Future Trainers-Teachers
Tileubay S. Yerekeshova M. Baiganova A. Janyssova D. Omarov N. Omarov B. Baiekeyeva Z.
2024Science and Information Organization
International Journal of Advanced Computer Science and Applications
2024#15Issue 3329 - 339 pp.
The fusion of augmented reality (AR) and deep learning technologies has ushered in a transformative era in the realm of real-time physical activity monitoring. This research paper introduces a system that harnesses the capabilities of PoseNet-based skeletal keypoint extraction and deep neural networks to achieve unparalleled accuracy and real-time functionality in the identification and classification of a wide spectrum of physical activities. With an impressive accuracy rate of 98% within 100 training epochs, the system proves its mettle in precise activity recognition, making it invaluable in domains such as fitness training, physical education, sports coaching, and home-based fitness. The systems real-time feedback mechanism, bolstered by AR technology, not only enhances user engagement but also motivates users to optimize their exercise routines. This paper not only elucidates the systems architecture and functionality but also highlights its potential applications across diverse fields. Furthermore, it delineates the trajectory of future research avenues, including the development of advanced feedback mechanisms, exploration of multi-modal sensing techniques, personalization for users, assessment of long-term impacts, and endeavors to ensure accessibility, inclusivity, and data privacy. In essence, this research sets the stage for the evolution of real-time physical activity monitoring, offering a compelling framework to improve fitness, physical education, and athletic training while promoting healthier lifestyles and the overall well-being of individuals worldwide.
computer vision , deep learning , exercise , MoveNET , PoseNET
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Korkyt Ata Kyzylorda University, Kyzylorda, Kazakhstan
K. Zhubanov Aktobe Regional University, Aktobe, Kazakhstan
Al-Farabi Kazakh National Unviersity, Almaty, Kazakhstan
International University of Tourism and Hospitality, Turkistan, Kazakhstan
Korkyt Ata Kyzylorda University
K. Zhubanov Aktobe Regional University
Al-Farabi Kazakh National Unviersity
International University of Tourism and Hospitality
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