Automatic Detection of Sports Injuries Based on Multimedia Intelligent 3D Images
作者：
Liu, Chunmei;Cao, Longhui
期刊：
Advances in Multimedia,2023年2023 ISSN：1687-5680
通讯作者：
Liu, Chunmei(liuchunmei@hncu.edu.cn)
作者机构：
[Liu, Chunmei] College of Physical Education, Hunan City University, Hunan, Yiyang;413000, China;[Cao, Longhui] Academic Affairs Office, Yiyang Advanced Technical School, Hunan, Yiyang;[Liu, Chunmei; Cao, Longhui] 413000, China
关键词：
Introduction;Materials and Methods;Results;Discussion;Conclusion;Abstract;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interests;Authors’ Contributions;Funding Statement;Acknowledgements;Acknowledgments;Supplementary Materials;Reference;Dataset Description;Dataset Files;Abstract;Introduction;Introduction and Materials;Introduction and Methods;Materials;Materials and Methods;Methods;Results;Discussion;Results and Discussion;Discussion and Conclusion;Results and Conclusion;Conclusion;Conclusions;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interest;Authors’ Contributions;Funding Statement;Acknowledgements;Supplementary Materials;References;Appendix;Abbreviations;Preliminaries;Introduction and Preliminaries;Notation;Proof of Theorem;Proofs;Analysis of Results;Examples;Numerical Example;Applications;Numerical Simulation;Model;Model Formulation;Systematic Palaeontology;Nomenclatural Acts;Taxonomic Implications;Experimental;Synthesis;Overview;Characterization;Background;Experimental;Theories;Calculations;Model Verification;Model Implementation;Geographic location;Study Area;Geological setting;Data Collection;Field Testing;Data and Sampling;Dataset;Literature Review;Related Works;Related Work;System Model;Methods and Data;Experimental Results;Results and Analysis;Evaluation;Implementation;Case Presentation;Case Report;Search Terms;Case Description;Case Series;Background;Limitations;Additional Points;Case;Case 1;Case 2 etc.;Concern Details;Retraction Details;Copyright;Related Articles
摘要：
With the concept of quality education put forward, students' sports activities have received extensive attention from society. As a result, sports injuries among students during sports have also aroused widespread concern, so it is an irreversible trend to detect sports injuries. The development of multimedia intelligent 3D image technology also provides technical support for sports injury detection, which makes it possible to automatically detect sports injuries. In this paper, an automatic detection system for sports injuries was designed based on multimedia intelligent three-dimensional image technology, and the related content was evaluated. In the investigation of the parts of students' sports injuries, it was concluded that the injury rate of the students' ankle joints was the highest; in the investigation of the types of sports injuries among students, it was concluded that students were more likely to suffer from joint sprains; in the project investigation of students' sports injuries, it was concluded that students were more prone to sports injuries in ball games with a large amount of exercise; in the investigation of the causes of students' sports injuries, it was concluded that the main reasons for students' sports injuries were physical insufficiency and a bad venue environment; in terms of the performance evaluation of the sports injury detection system, it was concluded that the accuracy, effectiveness, authenticity, and efficiency of the sports injury automatic detection system based on multimedia intelligent three-dimensional image processing technology had been improved to different degrees compared with the traditional sports injury detection methods. Therefore, the detection efficiency of the sports injury automatic detection system proposed in this paper was improved by 5.7% compared with the traditional sports injury detection method. © 2023 Chunmei Liu and Longhui Cao.
语种：
英文
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Application of user-level personalized recommendation algorithm in sports websites
作者：
Gong, Yingying*
期刊：
Metallurgical and Mining Industry,2015年7(5):375-382 ISSN：2076-0507
通讯作者：
Gong, Yingying
作者机构：
[Gong, Yingying] Physical Education Institute, Hunan City University, Yiyang, Hunan, China
通讯机构：
Physical Education Institute, Hunan City University, Yiyang, Hunan, China
关键词：
Matching;Sports website;User level personalized recommendation algorithm
摘要：
The network shopping has become one of the main forms of the present shopping, the sales of sports products are also developing to the network direction. Due to the differences between different customer preferences of sports products, and many kinds of sports products, sports website according to the needs and preferences of customers of sports products make a personalized recommend the reasonable is very difficult. In view of the problems encountered by the sports website in the movement of products in the process of recommendation, take user level personalized recommendation algorithm, using different optimal recommendation algorithm for different customers, and strive to make recommendation has targeted. This paper by Li Ning Sports sites, for example, user level of personalized recommendation algorithm application analysis, pointed out that different users and recommend the best algorithm matching relationship through other recommendation algorithm and compared. The results showed that the user personalized recommendation algorithm's superiority. The results shows that there is no association of user characteristics and recommend the best algorithm is obtained, promoting user level personalized recommendation algorithms improve. ©2015. Metallurgical and Mining Industry.
语种：
英文
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