Design and development of AI cloud-based video recording system for athlete movements

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dc.citation.epage20
dc.citation.issue2
dc.citation.journalTitleВимірювальна техніка та метрологія
dc.citation.spage13
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorBershchankyi, Yevhen
dc.contributor.authorKlym, Halyna
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2025-03-13T08:43:19Z
dc.date.created2024-02-27
dc.date.issued2024-02-27
dc.description.abstractThis paper presents the design and development of an AI cloud-based video recording system for athlete move- ment analysis. The proposed system utilizes the Wemos D1 Mini microcontroller as the core hardware platform and a GoPro ca- mera for high-quality video capture. By leveraging the capabilities of these components, the system enables real-time video recor- ding of athlete movements, facilitating detailed performance analysis and feedback. Furthermore, the system seamlessly integrates with Amazon Web Services (AWS) IoT Core, enabling efficient data transmission and storage in the cloud. Through research and development, both the hardware and software components of the system were designed and implemented, ensuring robust per- formance and scalability. Experiments demonstrate the efficacy of the proposed solution in capturing high-fidelity video footage of athlete movements and securely transmitting it to the cloud for further analysis. This research lays the foundation for advanced athlete monitoring systems, offering valuable insights for coaches, trainers, and sports scientists to enhance training regimens and optimize performance.
dc.format.extent13-20
dc.format.pages8
dc.identifier.citationBershchankyi Y. Design and development of AI cloud-based video recording system for athlete movements / Bershchankyi Yevhen, Klym Halyna // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 85. — No 2. — P. 13–20.
dc.identifier.citationenBershchankyi Y. Design and development of AI cloud-based video recording system for athlete movements / Bershchankyi Yevhen, Klym Halyna // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2024. — Vol 85. — No 2. — P. 13–20.
dc.identifier.doidoi.org/10.23939/istcmtm2024.02.013
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/64143
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofВимірювальна техніка та метрологія, 2 (85), 2024
dc.relation.ispartofMeasuring Equipment and Metrology, 2 (85), 2024
dc.relation.references[1] Chase, C. (2020). The Data Revolution: Cloud Computing, Artificial Intelligence, and Machine Learning in the Future of Sports. In: Schmidt, S. L. (eds) 21st Century Sports. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-50801-2_10
dc.relation.references[2] Chaudhary, S., Bhargave, V., Kulkarni, S., Puranik, P., & Shinde, A. (2018). Home Automation System Using WeMos D1 Mini. Int. Res. Journ. Engineering and Technology (IRJET) Vol. 5, 4238–4241. [Online]. Available: https://www.academia.edu/download/58283614/IRJET-V5I5944.pdf
dc.relation.references[3] Crandall A. S., Mamolo S., Morgan M. SkiMon: A Wireless Body Area Network for Monitoring Ski Flex and Motion during Skiing Sports. Sensors. 2022; 22(18):6882. https://doi.org/10.3390/s22186882
dc.relation.references[4] Bershchanskyi, Y. and Klym, H. (2023, October). Information System for Administration of Medical Institution. In 2023 13th Int. Conf. on Depend. Systems, Services and Techn. (DESSERT) (pp. 1–4). IEEE. https://doi.org/10.1109/DESSERT61349.2023.10416537
dc.relation.references[5] B. C. Kavitha, R. Vallikannu, IoT based intelligent industry monitoring system, in 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, 2019, pp. 63–65. https://doi.org/10.1109/SPIN.2019.8711597
dc.relation.references[6] Jaya, N. I. and Hossain, M. F. (2018, October). A prototype air flow control system for home automation using mqtt over websocket in aws iot core. In 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) (pp. 111–1116). IEEE. https://doi.org/10.1109/CyberC.2018.00032
dc.relation.references[7] Dineva, Kristina, and Tatiana Atanasova. “Design of scalable IoT architecture based on AWS for smart livestock”. Animals 11, no. 9 (2021): 2697. https://doi.org/10.3390/ani11092697
dc.relation.references[8] Dineva, K.; Atanasova, T. Security in IoT Systems. In Proceedings of the XIX International Multidisciplinary Scientific GeoConference SGEM, Vienna, Austria, 9–12 December 2019; Vol. 19, pp. 576–577. https://doi.org/10.3390/ani11092697
dc.relation.references[9] Jangid, N. K. and Gupta, M. K. (2022, June). Protecting software design in the cloud using AWS IoT. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applic. and Services, pp. 561–562. https://doi.org/10.1145/3498361.3538784
dc.relation.references[10] Hakkı, S. O. Y., 2021. ESP8266 and ESP32 series of SoC microcontrollers. Programmable Smart Microcontroller Cards, 110 [Online]. Available: https://www.isres.org/books/Programlanabilir Akıllı Mikrodenetleyici Kartlar_01_16-12-2021.pdf#page=110
dc.relation.references[11] Chakrabarti, A., Sadhu, P. K. & Pal, P. AWS IoT Core and Amazon DeepAR based predictive real-time monitoring framework for industrial induction heating systems. Microsyst. Technol., 29, 441–456 (2023). https://doi.org/10.1007/s00542-022-05311-x
dc.relation.references[12] Sharma, V. (2022, April). Object detection and recognition using Amazon Rekognition with Boto3. In 2022 6th Int. Conf. on Trends in Electronics and Informatics (pp. 727–732). IEEE. https://doi.org/10.1109/ICOEI53556.2022.9776884
dc.relation.referencesen[1] Chase, C. (2020). The Data Revolution: Cloud Computing, Artificial Intelligence, and Machine Learning in the Future of Sports. In: Schmidt, S. L. (eds) 21st Century Sports. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-50801-2_10
dc.relation.referencesen[2] Chaudhary, S., Bhargave, V., Kulkarni, S., Puranik, P., & Shinde, A. (2018). Home Automation System Using WeMos D1 Mini. Int. Res. Journ. Engineering and Technology (IRJET) Vol. 5, 4238–4241. [Online]. Available: https://www.academia.edu/download/58283614/IRJET-V5I5944.pdf
dc.relation.referencesen[3] Crandall A. S., Mamolo S., Morgan M. SkiMon: A Wireless Body Area Network for Monitoring Ski Flex and Motion during Skiing Sports. Sensors. 2022; 22(18):6882. https://doi.org/10.3390/s22186882
dc.relation.referencesen[4] Bershchanskyi, Y. and Klym, H. (2023, October). Information System for Administration of Medical Institution. In 2023 13th Int. Conf. on Depend. Systems, Services and Techn. (DESSERT) (pp. 1–4). IEEE. https://doi.org/10.1109/DESSERT61349.2023.10416537
dc.relation.referencesen[5] B. C. Kavitha, R. Vallikannu, IoT based intelligent industry monitoring system, in 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), IEEE, 2019, pp. 63–65. https://doi.org/10.1109/SPIN.2019.8711597
dc.relation.referencesen[6] Jaya, N. I. and Hossain, M. F. (2018, October). A prototype air flow control system for home automation using mqtt over websocket in aws iot core. In 2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) (pp. 111–1116). IEEE. https://doi.org/10.1109/CyberC.2018.00032
dc.relation.referencesen[7] Dineva, Kristina, and Tatiana Atanasova. "Design of scalable IoT architecture based on AWS for smart livestock". Animals 11, no. 9 (2021): 2697. https://doi.org/10.3390/ani11092697
dc.relation.referencesen[8] Dineva, K.; Atanasova, T. Security in IoT Systems. In Proceedings of the XIX International Multidisciplinary Scientific GeoConference SGEM, Vienna, Austria, 9–12 December 2019; Vol. 19, pp. 576–577. https://doi.org/10.3390/ani11092697
dc.relation.referencesen[9] Jangid, N. K. and Gupta, M. K. (2022, June). Protecting software design in the cloud using AWS IoT. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applic. and Services, pp. 561–562. https://doi.org/10.1145/3498361.3538784
dc.relation.referencesen[10] Hakkı, S. O. Y., 2021. ESP8266 and ESP32 series of SoC microcontrollers. Programmable Smart Microcontroller Cards, 110 [Online]. Available: https://www.isres.org/books/Programlanabilir Akıllı Mikrodenetleyici Kartlar_01_16-12-2021.pdf#page=110
dc.relation.referencesen[11] Chakrabarti, A., Sadhu, P. K. & Pal, P. AWS IoT Core and Amazon DeepAR based predictive real-time monitoring framework for industrial induction heating systems. Microsyst. Technol., 29, 441–456 (2023). https://doi.org/10.1007/s00542-022-05311-x
dc.relation.referencesen[12] Sharma, V. (2022, April). Object detection and recognition using Amazon Rekognition with Boto3. In 2022 6th Int. Conf. on Trends in Electronics and Informatics (pp. 727–732). IEEE. https://doi.org/10.1109/ICOEI53556.2022.9776884
dc.relation.urihttps://doi.org/10.1007/978-3-030-50801-2_10
dc.relation.urihttps://www.academia.edu/download/58283614/IRJET-V5I5944.pdf
dc.relation.urihttps://doi.org/10.3390/s22186882
dc.relation.urihttps://doi.org/10.1109/DESSERT61349.2023.10416537
dc.relation.urihttps://doi.org/10.1109/SPIN.2019.8711597
dc.relation.urihttps://doi.org/10.1109/CyberC.2018.00032
dc.relation.urihttps://doi.org/10.3390/ani11092697
dc.relation.urihttps://doi.org/10.1145/3498361.3538784
dc.relation.urihttps://www.isres.org/books/Programlanabilir
dc.relation.urihttps://doi.org/10.1007/s00542-022-05311-x
dc.relation.urihttps://doi.org/10.1109/ICOEI53556.2022.9776884
dc.rights.holder© Національний університет “Львівська політехніка”, 2024
dc.subjectSports engineering
dc.subjectVideo recording system
dc.subjectAI movement analysis
dc.subjectWemos D1 Mini
dc.subjectInternet of Things
dc.titleDesign and development of AI cloud-based video recording system for athlete movements
dc.typeArticle

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Вимірювальна техніка та метрологія. – 2024. – Випуск 85, №2