{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T04:50:56Z","timestamp":1771476656044,"version":"3.50.1"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Ltd","issue":"06n08","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:p> The modern Internet of Things (IoT) paradigm enables creating small devices that can provide sensor, process, and connect, facilitating sensors, embedded devices, and other \u201cthings\u201d ready for understanding the environment. Physical education and physical activity can improve both the physical and mental health of practitioners. However, there are many issues or accidents occurred to the athletes during training and tournament. In addition, lack of awareness during a match or game could lead to injuries and dropping the competition or match. This study proposes an IoT-based Wearable Intelligent Health Monitoring system (IoTW-IHMS) for the physical teaching system and athletes\u2019 health monitoring. This study intends to collect and track data on player rates, body temperature, and response time to stimulation while using compact wearable devices and microprocessors as the main device to relay them wirelessly. Multiple sensors tracked the heart rate, current body temperature, and response time of the athlete. The simulation analysis shows that the proposed IoTW-IHMS method enhances the accuracy (93.6%), response time ratio (95.4%), sensitivity ratio (97.5%), performance ratio (91.3%), and prediction ratio (96.8%) compared to other popular methods. <\/jats:p>","DOI":"10.1142\/s0218213021400169","type":"journal-article","created":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T03:19:15Z","timestamp":1640661555000},"source":"Crossref","is-referenced-by-count":16,"title":["Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring"],"prefix":"10.1142","volume":"30","author":[{"given":"Hao","family":"Zhen","sequence":"first","affiliation":[{"name":"Institute of Physical Education, Henan University of Chinese Medicine, Zhengzhou, 450046, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priyan Malarvizhi","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Kyung Hee University, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R. Dinesh Jackson","family":"Samuel","sequence":"additional","affiliation":[{"name":"Faculty of Technology, Design and Environment, Visual Artificial Intelligence Lab, Oxford Brookes University, Oxford, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,12,29]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213021400169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,28]],"date-time":"2021-12-28T03:19:28Z","timestamp":1640661568000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213021400169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":0,"journal-issue":{"issue":"06n08","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["10.1142\/S0218213021400169"],"URL":"https:\/\/doi.org\/10.1142\/s0218213021400169","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12]]},"article-number":"2140016"}}