{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:14:13Z","timestamp":1778858053018,"version":"3.51.4"},"reference-count":0,"publisher":"International Association of Online Engineering (IAOE)","issue":"09","license":[{"start":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T00:00:00Z","timestamp":1778803200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Interact. Mob. Technol."],"abstract":"<jats:p>Traditional physical education (PE) instruction suffers from delayed motion feedback, homogeneous guidance strategies, and the reinforcement of incorrect movement patterns. Existing sensor-based motion recognition systems often struggle to simultaneously achieve real-time responsiveness, personalized instruction, and robust adaptation to complex instructional scenarios. To address these challenges, this study proposes an intelligent PE system that integrates wearable sensors with smartphone-based interaction, forming a full-chain technical framework from multimodal data acquisition to adaptive intervention. The proposed system introduces several key innovations: (1) a multimodal semantic fusion strategy to enhance motion recognition accuracy and contextual understanding; (2) an early event detection mechanism that enables advanced prediction of motion errors and millisecond-level real-time feedback; (3) a personalized adaptive intervention mechanism that dynamically accommodates learners with different skill levels; (4) an edge-cloud collaborative architecture that balances real-time processing on mobile devices with in-depth analytical capabilities; and (5) the construction of a multimodal sports motion dataset and evaluation benchmark for instructional scenarios. This study provides a novel technical paradigm for intelligent mobile PE, and the released dataset and benchmarks offer valuable resources for future research, promoting the digitalization and intelligent transformation of physical education.<\/jats:p>","DOI":"10.3991\/ijim.v20i09.61737","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T14:33:32Z","timestamp":1778855612000},"source":"Crossref","is-referenced-by-count":0,"title":["Intelligent Physical Education via Wearable Sensors and Smartphone Interaction"],"prefix":"10.3991","volume":"20","author":[{"given":"Liyuan","family":"Xie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinggang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongliang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2371","published-online":{"date-parts":[[2026,5,15]]},"container-title":["International Journal of Interactive Mobile Technologies (iJIM)"],"original-title":[],"link":[{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/61737\/17248","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/61737\/17248","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T14:33:32Z","timestamp":1778855612000},"score":1,"resource":{"primary":{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/view\/61737"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,15]]},"references-count":0,"journal-issue":{"issue":"09","published-online":{"date-parts":[[2026,5,15]]}},"URL":"https:\/\/doi.org\/10.3991\/ijim.v20i09.61737","relation":{},"ISSN":["1865-7923"],"issn-type":[{"value":"1865-7923","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,15]]}}}