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Among them, the single-player atomic action is recognized by the shapelet method, and the recognition results of two-player interactive actions are obtained by weight fusion of the recognition results of single-player atomic actions. In addition, based on the algorithm model, an intelligent management system for community sports is constructed. Finally, the analysis of the test results shows that the algorithm has higher accuracy in community sports recognition than existing algorithms. It also achieves higher practical performance and enables action recognition through terminal sensors, promoting community sports management.<\/jats:p>","DOI":"10.20965\/jaciii.2026.p0372","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T15:02:06Z","timestamp":1773932526000},"page":"372-387","source":"Crossref","is-referenced-by-count":0,"title":["IoT-Driven Community Sports Management: Machine Learning for Data Processing"],"prefix":"10.20965","volume":"30","author":[{"given":"Mingkai","family":"Cheng","sequence":"first","affiliation":[{"name":"Jiaozuo Normal College, No.998 Shanyang Road, Shanyang District, Jiaozuo, Henan 454000, China"}]},{"given":"Wu","family":"Lv","sequence":"additional","affiliation":[{"name":"Jiaozuo Normal College, No.998 Shanyang Road, Shanyang District, Jiaozuo, Henan 454000, China"}]}],"member":"8550","published-online":{"date-parts":[[2026,3,20]]},"reference":[{"key":"key-10.20965\/jaciii.2026.p0372-1","doi-asserted-by":"crossref","unstructured":"C. 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