Fujitsu North America Inc. Senior Solutions Architect (For Emerging Solutions), United States of America.
International Journal of Science and Research Archive, 2022, 06(02), 137-149.
Article DOI: 10.30574/ijsra.2022.6.2.0241
DOI url: https://doi.org/10.30574/ijsra.2022.6.2.0241
Received on 09 July 2022; revised on 20 August 2022; accepted on 24 August 2022
Markerless motion analysis transforms sports technologies because it can deliver precise real-time monitoring without disrupting athletes in their natural movements. The article demonstrates how modern camera systems, artificial intelligence technology, and computer vision algorithms enable the tracking of player movements without actual markers or physical equipment. The study investigates how next-generation motion analysis operates through theoretical explanations, technical design approaches, and applied applications. The paper performs methodological research by analyzing published studies, examples from practical applications, cond, acting system comparison methods, and conventional systems. The research demonstrated better data precision combined with cost improvements and greater athletic convenience that strengthened injury prevention measures along with performance enhancements. The study identifies transformative features in this developing technology yet acknowledges complications stemming from demanding computations while highlighting data security requirements. The article demonstrates that markerless motion analytics is leading the way toward changing how sports training affects athlete development.
Markerless tracking; Motion analytics; Player performance; Injury prevention; AI integration; Sports technology
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Dippu Kumar Singh. Revolutionizing sports: Unleashing the power of next-gen markerless motion analytics. International Journal of Science and Research Archive, 2022, 06(02), 137-149. Article DOI: https://doi.org/10.30574/ijsra.2022.6.2.0241






