Deep learning based Football player’s Health Analysis

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Mrs.Raziya Begum, Dr.M.R.NarasingaRao, Dr. Niranjan Polala

Abstract: Health management and big data have grown and developed in recent years with the growth of information technology. Big data are needed in order to extract relevant information from proper analysis and shape., The study assesses the state and possibilities in the health management sector of applications for big data. The results reveal that intelligent wearable devices are the most widely used big data in health management. There are also significant prospects of big data applications for football players’ surveillance systems for mental health and chronic illness management systems. , e Smart wearable device applied to several aspects of sport: education and training in the field of sport, real time monitoring of physical exercises of football players, collection of heart rate, calorie use, training steps and pathways, blood pressure, oxygen in the blood and other physical exercise data;;

We can also gain the intensity and the length of the physical exercise of the footballers in school by monitoring the cardiac rate; we can also gain an overall understanding of the situation of the physical exercise of football players at school by calculating the amount of time consumption and by measuring the number of steps and the pathway of soccer. The efficiency of the work proposed by the experimental findings of the proposed study is shown.