{"title":"基于多媒体图像动作实时采集算法的体育舞蹈智能训练校正系统","authors":"Lu Pan","doi":"10.1109/ICOSEC54921.2022.9952152","DOIUrl":null,"url":null,"abstract":"Sports dance intelligent training correction system based on the multimedia image action real-time acquisition algorithm is the main focus of this paper. The skeleton data is further extended by employing data enhancement technology, the diversity of samples is improved by increasing the observation angle of collected samples. This enhances the generalization ability of the model. Further, the analysis of the multimedia images can be understood from different aspects. According to the traditional method, by extracting the personalized features of multimedia images, using edge pixel information recombination and feature distributed reconstruction methods. Furthermore, the designed model is applied to the dance intelligent training correction system. Robustness and performance are then tested.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sports Dance Intelligent Training Correction System based on Multimedia Image Action Real-Time Acquisition Algorithm\",\"authors\":\"Lu Pan\",\"doi\":\"10.1109/ICOSEC54921.2022.9952152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sports dance intelligent training correction system based on the multimedia image action real-time acquisition algorithm is the main focus of this paper. The skeleton data is further extended by employing data enhancement technology, the diversity of samples is improved by increasing the observation angle of collected samples. This enhances the generalization ability of the model. Further, the analysis of the multimedia images can be understood from different aspects. According to the traditional method, by extracting the personalized features of multimedia images, using edge pixel information recombination and feature distributed reconstruction methods. Furthermore, the designed model is applied to the dance intelligent training correction system. Robustness and performance are then tested.\",\"PeriodicalId\":221953,\"journal\":{\"name\":\"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSEC54921.2022.9952152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSEC54921.2022.9952152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sports Dance Intelligent Training Correction System based on Multimedia Image Action Real-Time Acquisition Algorithm
Sports dance intelligent training correction system based on the multimedia image action real-time acquisition algorithm is the main focus of this paper. The skeleton data is further extended by employing data enhancement technology, the diversity of samples is improved by increasing the observation angle of collected samples. This enhances the generalization ability of the model. Further, the analysis of the multimedia images can be understood from different aspects. According to the traditional method, by extracting the personalized features of multimedia images, using edge pixel information recombination and feature distributed reconstruction methods. Furthermore, the designed model is applied to the dance intelligent training correction system. Robustness and performance are then tested.