{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T23:05:16Z","timestamp":1773875116145,"version":"3.50.1"},"reference-count":10,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T00:00:00Z","timestamp":1734393600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Internet Technology Letters"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>This paper introduces an AI\u2010driven multi\u2010modal information fusion system tailored for real\u2010world physical training applications, integrating state\u2010of\u2010the\u2010art computer vision, deep learning, and multi\u2010sensor technologies. The system combines high\u2010precision cameras and inertial measurement unit (IMU) sensors to capture real\u2010time motion trajectories and posture data. These data are processed through convolutional neural networks (CNNs) and long short\u2010term memory (LSTM) models for accurate movement analysis. Additionally, augmented reality (AR) provides real\u2010time visual feedback, while deep reinforcement learning algorithms deliver personalized training recommendations. In an 8\u2010week study involving 100 high school students, the system improved movement accuracy by 23% and received a 4.6\/5 user satisfaction rating. Although challenges remain in optimizing computational efficiency and user interface design, the system's modular and scalable nature makes it an adaptable solution for enhancing physical training across educational, home, and professional settings.<\/jats:p>","DOI":"10.1002\/itl2.628","type":"journal-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T22:15:38Z","timestamp":1734473738000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["<scp>AI<\/scp>\n                    \u2010Driven Multi\u2010Modal Information Fusion System for Real Applications in Physical Training"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3466-8394","authenticated-orcid":false,"given":"Yongzhi","family":"Wang","sequence":"first","affiliation":[{"name":"Zhengzhou University of Industrial Technology  Zhengzhou Henan China"}]},{"given":"Ruifang","family":"Li","sequence":"additional","affiliation":[{"name":"Zhengzhou University of Industrial Technology  Zhengzhou Henan China"}]}],"member":"311","published-online":{"date-parts":[[2024,12,17]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3649447"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/itl2.452"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02554-9"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124167"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"e_1_2_7_8_1","first-page":"1","article-title":"Inertial Sensors for Human Motion Analysis: A Comprehensive Review","volume":"72","author":"DS V. G.","year":"2023","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17051037"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bjpt.2024.101083"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.26666\/rmp.ajtve.2022.1.3"}],"container-title":["Internet Technology Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/itl2.628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T18:26:21Z","timestamp":1761071181000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/itl2.628"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,17]]},"references-count":10,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["10.1002\/itl2.628"],"URL":"https:\/\/doi.org\/10.1002\/itl2.628","archive":["Portico"],"relation":{},"ISSN":["2476-1508","2476-1508"],"issn-type":[{"value":"2476-1508","type":"print"},{"value":"2476-1508","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,17]]},"assertion":[{"value":"2024-10-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-29","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e628"}}