{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T23:04:27Z","timestamp":1769900667723,"version":"3.49.0"},"reference-count":14,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Internet Technology Letters"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>With the growing demand for intelligent and precise physical education (PE) evaluation, traditional single\u2010source data or manual scoring approaches have shown clear limitations in terms of objectivity, efficiency, and scalability. This paper proposes a novel Multimodal Attention\u2010based Transformer\u2010Enhanced Deep Fusion Model (MAT\u2010DFM) for intelligent assessment in PE, leveraging wearable sensor data, video recordings, and audio signals to construct a robust, real\u2010time evaluation framework. Through temporal synchronization, deep neural feature extraction, and attention\u2010driven fusion, the model captures both physical performance and contextual behavioral cues. Extensive experiments on a custom multimodal PE dataset demonstrate that MAT\u2010DFM achieves superior accuracy (91.3%) and lower MAE (3.42) compared to multiple state\u2010of\u2010the\u2010art baselines, validating the effectiveness of transformer\u2010based multimodal fusion. Furthermore, the model supports real\u2010time feedback and fine\u2010grained skill analysis, providing a comprehensive and scalable solution for smart PE instruction. This work presents an innovative fusion strategy that advances the development of wearable multimodal assessment systems in education.<\/jats:p>","DOI":"10.1002\/itl2.70134","type":"journal-article","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T13:21:06Z","timestamp":1763472066000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Wearable Multimodal Data Fusion Methods for Intelligent Assessment in Physical Education"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8175-8329","authenticated-orcid":false,"given":"Bo","family":"Wen","sequence":"first","affiliation":[{"name":"Xi'an Fanyi University  Xi'an Shaanxi China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,11,18]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2024.3434969"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103088"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2024.1484848"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TELEPE64216.2024.00120"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e36393"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7666615"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2009.2032660"},{"key":"e_1_2_6_9_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2021.3102939","article-title":"An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari\u20108 Satellite Images","volume":"19","author":"Lin F.","year":"2021","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3509860"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.3390\/s16010115"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2025.3555663"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12115408"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-1767-9_43"},{"key":"e_1_2_6_15_1","unstructured":"C. S.Leite H.Mauranen A.Zhanabatyrova andY.Xiao \u201cTransformer\u2010Based Approaches for Sensor\u2010Based Human Activity Recognition: Opportunities and Challenges \u201d2024 arXiv preprint arXiv:2410.13605."}],"container-title":["Internet Technology Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.70134","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/itl2.70134","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.70134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T03:42:25Z","timestamp":1769139745000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/itl2.70134"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,18]]},"references-count":14,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1002\/itl2.70134"],"URL":"https:\/\/doi.org\/10.1002\/itl2.70134","archive":["Portico"],"relation":{},"ISSN":["2476-1508","2476-1508"],"issn-type":[{"value":"2476-1508","type":"print"},{"value":"2476-1508","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,18]]},"assertion":[{"value":"2025-07-11","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-19","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70134"}}