{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T04:29:26Z","timestamp":1773116966875,"version":"3.50.1"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T00:00:00Z","timestamp":1627257600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,7,26]]},"abstract":"<jats:p>In sports or fitness training, nonstandard movements will affect the training effect and even lead to sports injuries. However, the standard movements of various sports activities need professional guidance, so it is difficult to find out whether the movements are standard or not. In recent years, body pose estimation has become a hot topic in computer vision research. A deep learning model can effectively identify the human nodes and movement trajectory in pictures or videos and evaluate the movements of the target human body. However, the movement process is generally covered by others or the situation of nearby personnel, which leads to the deviation of the movement recognition of the human body and affects the evaluation of the movement. Thus, it is unable to effectively correct the wrong movement, but will mislead the training personnel. Therefore, this paper proposes a novel decision support model for sports training based on association rules. We use posterior probability settings to reveal the weights of the discriminative ability of attribute items and set the classification performance to reflect the weights of three measures to evaluate credit contribution. Thus, the learning threshold setting reflects the weight of the decision-making ability of sports training. Furthermore, compared with traditional association rules, attribute items, frequent item sets, and classification rules that can improve the decision-making performance of sports training are discovered, which complement the deficiencies of different measures. Finally, using the weighted voting strategy to fuse the decision-making information of the classification rules, we can effectively assist in sports training so that the coach can work out corresponding countermeasures and realize scientific management.<\/jats:p>","DOI":"10.1155\/2021\/7233800","type":"journal-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T22:35:08Z","timestamp":1627425308000},"page":"1-8","source":"Crossref","is-referenced-by-count":9,"title":["Auxiliary Decision Support Model of Sports Training Based on Association Rules"],"prefix":"10.1155","volume":"2021","author":[{"given":"Changnian","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Dance and Martial Arts, Capital University of Physical Education and Sports, Beijing 100191, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8846-0439","authenticated-orcid":true,"given":"MeiJie","family":"Li","sequence":"additional","affiliation":[{"name":"Humour Division, Huanghe University of Science and Technology, Zhengzhou 450063, China"},{"name":"Sports Institute, Korea Gangneung-Wonju National University, Gangneung 25457, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0729-1432","authenticated-orcid":true,"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk 80-336, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Physical Culture, Gdansk University of Physical Education and Sport, Gdansk 80-336, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2020.010110"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1249\/jsr.0000000000000576"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1080\/1750984x.2016.1266376"},{"issue":"7","key":"4","doi-asserted-by":"crossref","first-page":"395","DOI":"10.5897\/ERR2020.4007","article-title":"The relationship between perceived manager support and work commitments of sports instructors","volume":"15","author":"N. 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