{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:01:04Z","timestamp":1772823664487,"version":"3.50.1"},"reference-count":20,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,5,30]]},"abstract":"<jats:p>With the increasingly rich recreational activities of college students, diversified learning needs and complex physical education resources bring challenges to college physical education. In order to optimize the teaching effect of calisthenics in colleges and universities, this paper proposes a matching method of posture features based on dynamic time warping. Firstly, the dynamic time warping algorithm is introduced, and then the matching model of posture features of calisthenics is constructed on this basis. Finally, the application effect of the model is tested and analyzed. The results show that the model can capture the video frame accurately, and its matching accuracy reaches 94.8%, which greatly improves the accuracy of aerobics action recognition. Good posture matching effect is conducive to teachers to obtain a clear learning situation of students, and provide a reference for adjusting the teaching progress and teaching methods of calisthenics. Under the teaching mode of this model, the average professional score of the students in calisthenics reaches 85 points, which is 25 points higher than that under the convolutional neural network model. It also proves the validity and feasibility of this method in the course of calisthenics in colleges and universities, which is beneficial to enhance the physical quality of college students and enrich the content of calisthenics teaching.<\/jats:p>","DOI":"10.3233\/jcm-226709","type":"journal-article","created":{"date-parts":[[2023,2,7]],"date-time":"2023-02-07T11:22:08Z","timestamp":1675768928000},"page":"1335-1347","source":"Crossref","is-referenced-by-count":2,"title":["Application of action and posture feature information matching algorithm in college aerobics"],"prefix":"10.1177","volume":"23","author":[{"given":"Hui","family":"Wang","sequence":"first","affiliation":[]}],"member":"179","reference":[{"issue":"6","key":"10.3233\/JCM-226709_ref1","doi-asserted-by":"crossref","first-page":"3007","DOI":"10.1177\/1475921720978622","article-title":"Fault state recognition of wind turbine gearbox based on generalized multi-scale dynamic time warping","volume":"20","author":"Pang","year":"2021","journal-title":"Struct Health Monit."},{"issue":"3","key":"10.3233\/JCM-226709_ref2","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s10844-020-00609-6","article-title":"Efficient segmentation-based methods for anomaly detection in static and streaming time series under dynamic time warping","volume":"56","author":"Thuy","year":"2021","journal-title":"J Intell Inf Syst."},{"issue":"2","key":"10.3233\/JCM-226709_ref3","doi-asserted-by":"crossref","first-page":"2929","DOI":"10.1007\/s10694-020-01062-1","article-title":"Real-time fire detection algorithm based on support vector machine with dynamic time warping kernel function","volume":"57","author":"Baek","year":"2021","journal-title":"Fire Technol."},{"issue":"7","key":"10.3233\/JCM-226709_ref4","doi-asserted-by":"crossref","first-page":"9300","DOI":"10.1109\/JSEN.2021.3051497","article-title":"Dynamic time warping-based features with class-specific joint importance maps for action recognition using Kinect depth sensor","volume":"21","author":"Mohammadzade","year":"2021","journal-title":"IEEE Sens J."},{"issue":"7","key":"10.3233\/JCM-226709_ref5","doi-asserted-by":"crossref","first-page":"5351","DOI":"10.1016\/j.aej.2021.08.084","article-title":"Intelligent sports prediction analysis system based on improved Gaussian fuzzy algorithm","volume":"61","author":"Men","year":"2022","journal-title":"Alexandria Eng J."},{"key":"10.3233\/JCM-226709_ref6","doi-asserted-by":"crossref","first-page":"96065","DOI":"10.1109\/ACCESS.2020.2992283","article-title":"Application of Internet of Things and virtual reality technology in college physical education","volume":"8","author":"Ding","year":"2020","journal-title":"IEEE Access."},{"key":"10.3233\/JCM-226709_ref7","doi-asserted-by":"crossref","unstructured":"Switonski A, Josinski H, Wojciechowski K. 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