About|About the Index|Indexing Criteria|Open Access Policy|Submit Journal|FAQs|Contact

OPPORTUNITIES OF BIOMECHANICAL ANALYSIS OF SPORTS MOVEMENTS BASED ON ARTIFICIAL INTELLIGENCE

item.page.link.simple
dc.contributor.authorQ. Yu. Suvonov
dc.date.accessioned2025-12-29T09:32:30Z
dc.date.issued2025-12-19
dc.description.abstractThis article analyzes the theoretical foundations, practical opportunities, and prospects of using artificial intelligence (AI) technologies in sports biomechanics. The effectiveness of modern approaches developed based on machine learning, computer vision, and neural networks for biomechanical assessment of sports movements is highlighted. Furthermore, the study examines the use of AI for improving sports techniques, preventing sports injuries, and optimizing training processes. The results of the research demonstrate that the use of digital technologies in sports biomechanics has significant scientific and practical value.
dc.formatapplication/pdf
dc.identifier.urihttps://americanjournal.org/index.php/ajper/article/view/3251
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/16118
dc.language.isoeng
dc.publisherAmerican Journals
dc.relationhttps://americanjournal.org/index.php/ajper/article/view/3251/3103
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceAmerican Journal of Pedagogical and Educational Research; Vol. 43 (2025); 73-75
dc.source2832-9791
dc.subjectSports biomechanics, artificial intelligence, biomechanical analysis, machine learning, sports movement, technique, injury prevention.
dc.titleOPPORTUNITIES OF BIOMECHANICAL ANALYSIS OF SPORTS MOVEMENTS BASED ON ARTIFICIAL INTELLIGENCE
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

item.page.files

item.page.filesection.original.bundle

pagination.showing.labelpagination.showing.detail
thumbnail.default.alt
item.page.filesection.name
suvonov_2025_opportunities_of_biomechanical_analysis.pdf
item.page.filesection.size
314.57 KB
item.page.filesection.format
Adobe Portable Document Format
item.page.filesection.download

item.page.collections

Published Articles