{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:19:24Z","timestamp":1767169164032,"version":"build-2238731810"},"reference-count":25,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T00:00:00Z","timestamp":1646784000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2022,3,9]]},"abstract":"<jats:p>For athletes who are eager for success, it is difficult to obtain their own movement data due to field equipment, artificial errors, and other factors, which means that they cannot get professional movement guidance and posture correction from sports coaches, which is a disastrous problem. To solve this big problem, combined with the latest research results of deep learning in the field of computer technology, based on the related technology of human posture recognition, this paper uses convolution neural network and video processing technology to create an auxiliary evaluation system of sports movements, which can obtain accurate data and help people interact with each other, so as to help athletes better understand their body posture and movement data. The research results show that: (1) using OpenPose open-source library for pose recognition, joint angle data can be obtained through joint coordinates, and the key points of video human posture can be identified and calculated for easy analysis. (2) The movements of the human body in the video are evaluated. In this way, it is judged whether the action amplitude of the detected target conforms to the standard action data. (3) According to the standard motion database created in this paper, a formal motion auxiliary evaluation system is established; compared with the standard action, the smaller the Euclidean distance is, the more standard it is. The action with an Euclidean distance of 4.79583 is the best action of the tested person. (4) The efficiency of traditional methods is very low, and the correct recognition rate of the method based on BP neural network can be as high as 96.4%; the correct recognition rate of the attitude recognition method based on this paper can be as high as 98.7%, which is 2.3% higher than the previous method. Therefore, the method in this paper has great advantages. The research results of the sports action assistant evaluation system in this paper are good, which effectively solves the difficult problems that plague athletes and can be considered to have achieved certain success; the follow-up system test and operation work need further optimization and research by researchers.<\/jats:p>","DOI":"10.1155\/2022\/8388325","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T17:50:10Z","timestamp":1646848210000},"page":"1-13","source":"Crossref","is-referenced-by-count":2,"title":["Aided Evaluation of Motion Action Based on Attitude Recognition"],"prefix":"10.1155","volume":"2022","author":[{"given":"Qi","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Mechanical and Dynamic Engineering, East China University of Science and Technology, Shanghai 200237, China"},{"name":"School of Design and Art, Shanghai Dianji University, Shanghai 200240, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0417-0483","authenticated-orcid":true,"given":"Qing-Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Mechanical and Dynamic Engineering, East China University of Science and Technology, Shanghai 200237, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"9","key":"1","first-page":"7","article-title":"Continue to write","volume":"29","author":"W. Ding","year":"2019","journal-title":"High Level Exchange"},{"issue":"16","key":"2","first-page":"5","article-title":"Game equipment is helpful to analyze the process generated from big data and motion recognition system design [J]","volume":"27","author":"M. Lu","year":"2019","journal-title":"Electronic Design Project"},{"issue":"5","key":"3","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1108\/09685220210446588","article-title":"Security of personal data across national borders","volume":"10","author":"E. Tran","year":"2002","journal-title":"Information Management & Computer Security"},{"issue":"11","key":"4","first-page":"26","article-title":"Human action recognition method based on key frame and skeleton information","volume":"38","author":"S. Li","year":"2019","journal-title":"Sensors and Microsystems"},{"issue":"09","key":"5","first-page":"143","article-title":"In a complex environment, human science uses artificial synthesis","volume":"19","author":"L. Shi","year":"2019","journal-title":"Science Technology and Engineering"},{"issue":"1","key":"6","doi-asserted-by":"crossref","first-page":"603","DOI":"10.32604\/cmc.2020.012515","article-title":"Fogmed: a fog-based framework for disease prognosis based medical sensor data streams","volume":"66","author":"L. Sun","year":"2021","journal-title":"Computers, Materials & Continua"},{"issue":"10","key":"7","first-page":"4","article-title":"The motion video of automatic scoring technology is based on Fisher vector coding [J]","volume":"35","author":"N. Shi","year":"2018","journal-title":"Computer Applied Research"},{"issue":"7","key":"8","first-page":"43","article-title":"3D CNN human behavior recognition based on video motion information in time and space [J]","volume":"41","author":"J. Liu","year":"2018","journal-title":"Electronic Measurement Technology"},{"issue":"2","key":"9","first-page":"23","article-title":"Optimization algorithm of human posture estimation combined with deformation model [J]","volume":"47","author":"Li Jian","year":"2020","journal-title":"Journal of Xidian University"},{"issue":"005","key":"10","first-page":"95","article-title":"Embedded GPU parallel accelerated computing of gradient direction histogram [J]","volume":"026","author":"X. Chen","year":"2019","journal-title":"CATV Technology"},{"issue":"002","key":"11","first-page":"19","article-title":"Feature point extraction and camera estimation based on cnn convolution neural network [J]","volume":"000","author":"Y. Liu","year":"2018","journal-title":"Electronic Quality"},{"issue":"06","key":"12","first-page":"52","article-title":"Pedestrian detection based on machine learning [J]","volume":"46","author":"Z. Tao","year":"2017","journal-title":"Electronic Technology"},{"issue":"10","key":"13","first-page":"120","article-title":"Action recognition of badminton players in sports videos [J]","volume":"37","author":"J. Yang","year":"2018","journal-title":"Automation Technology and Application"},{"issue":"7","key":"14","doi-asserted-by":"crossref","first-page":"1320","DOI":"10.1109\/TPAMI.2016.2587642","article-title":"DeepID-net: deformable deep convolutional neural networks for object detection[J]","volume":"39","author":"W. Ouyang","year":"2016","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"03","key":"15","first-page":"306","article-title":"Human motion posture recognition algorithm based on Hu moment invariant feature optimization [J]","volume":"41","author":"Y. Zhang","year":"2014","journal-title":"Computer Science"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.115783"},{"issue":"3","key":"17","first-page":"49","article-title":"Research on spatial multi-object recognition based on deep learning","volume":"2","author":"L. Wang","year":"2019","journal-title":"Unmanned System Technology"},{"key":"18","first-page":"1799","article-title":"Lecun Y and other collective networks jointly trained, and the graphic model of human cosmic environment","volume":"21","author":"T. Bianjian","year":"2014","journal-title":"Sprint Asiev"},{"key":"19","doi-asserted-by":"crossref","DOI":"10.1155\/2020\/6180317","article-title":"Image Recognition Based on Multiscale Pooling Deep Convolution Neural Networks","volume":"2020","author":"H. Sang","year":"2020","journal-title":"Complexity"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04624-9"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.3390\/sym13030523"},{"issue":"11","key":"23","first-page":"52 57","article-title":"High-speed video moving objects correspond to algorithm recognition [J]","volume":"37","author":"R. Tang","year":"2018","journal-title":"Overseas Electronic Measurement Technology"},{"issue":"4","key":"24","first-page":"646","article-title":"The videos of come from the suspected","volume":"44","author":"Q. X. Shi","year":"2018","journal-title":"Automation Journal"},{"issue":"791","key":"25","first-page":"794","article-title":"The application and research of data mapping in spatial-relational database","author":"O. Ye","year":"2011","journal-title":"International Conference on Computer Science and Service System (CSSS), Nanjing, China"}],"updated-by":[{"DOI":"10.1155\/2023\/9801367","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000},"record-id":"60389"},{"DOI":"10.1155\/2023\/9801367","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,11,29]],"date-time":"2023-11-29T00:00:00Z","timestamp":1701216000000}}],"container-title":["Journal of Healthcare Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2022\/8388325.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2022\/8388325.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jhe\/2022\/8388325.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T17:50:37Z","timestamp":1646848237000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jhe\/2022\/8388325\/"}},"subtitle":[],"editor":[{"given":"Le","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,3,9]]},"references-count":25,"alternative-id":["8388325","8388325"],"URL":"https:\/\/doi.org\/10.1155\/2022\/8388325","relation":{},"ISSN":["2040-2309","2040-2295"],"issn-type":[{"value":"2040-2309","type":"electronic"},{"value":"2040-2295","type":"print"}],"subject":[],"published":{"date-parts":[[2022,3,9]]}}}