Design And Implementation Of Contactless Intelligent Sports Platform

Adolescent physical health test has become an important measure of national concern for the growth of young people.It is a common way to improve young people’s physical health by carrying out daily large-scale group sports training in primary and secondary schools and colleges and universities.However,there are many problems in the process of large-scale group sports training,mainly including the following two points: long-term supervision is difficult to implement,the cost of human and material resources is high;the damage rate of sports equipment is high,and the long-term maintenance cost is high.Therefore,an intelligent system solution integrating scientific sports guidance,intelligent management,low loss sports equipment and other functions is urgently needed.In this paper,combined with the practical application scenarios of public sports in Colleges and universities,a smart sports platform is designed and implemented,which integrates unmanned management,monitoring of various sports events,automatic statistics of sports data and contactless sports equipment.In order to solve the problem of high-frequency fast face recognition,a face recognition method based on SVGA and cascade coordinate system(CCS)is proposed.In the aspect of strength training(pull-up,rope skipping,etc.),in order to solve the problem of high loss rate of monitoring equipment,a non-contact motion monitoring equipment is developed by using3 D intelligent camera,and a non-contact motion behavior recognition system based on machine vision is proposed,which can automatically identify the movement behavior,judge the completion quality and count the times.By automatically collecting the above motion sensing data and uploading them to the cloud in real time,a smart sports platform based on Internet of things is designed and implemented.The development of terminal equipment of this platform is based on WPF framework and socket programming.Face recognition algorithm based on serial feature gradient vector architecture(SVGA)is developed by using C + + language,and motion recognition algorithm of key frame target model is developed by C.At present,through the transformation of scientific research achievements,the platform has been deployed and put into use in many colleges and universities,greatly reducing the workload of College Students’ Extracurricular group sports supervision and monitoring,and the application effect has been unanimously affirmed by users.