Electromyography measures muscle responses of a nerve’s simulation of the muscle. EMG is generally measured or recorded through surface, needle or wired electrodes. The surface electromyography is a commonly used technique for measuring the muscle exhilaration. The purpose of this project is to evaluate the use of sEMG in the practical context and to translate the given context to the appropriate analysis. The sEMG are used on the athletes while they are running and respective results are being noted. By using this technique our project wishes to implement an android/iOS application to calculate the corresponding values which are being noted by the particular device which we have been made. The signals which are being given by the device is converted into the appropriate percentage values or graphs which can be determined into giving a complete overview about the person whom he is checking and can suggest the diets and exercises to make that person fit to the expectations. This software is mainly look forward for the development of the future athletes which can win the prizes. This platform provides immense forms of diets which are based on the values or results which have been depicted. Performance analysis in sports is considered to be an integral component of understanding the requirements of the optimal performance. Several measurement techniques have been used to inspect the performance of the best athletes today. it is mostly commonly done in laboratory where physiology and bio-mechanics can be analyzed. in this system first, the coaches conduct a study about the agility, strength and nutrition of the excellent players of the country. Then the coaches of the respective clubs or the schools check each and every student’s physical condition and compare with the stored data in order to train them. The project has got direct advantage to the aspiring future athletes of the country and also to the health-conscious society by providing them a device to calculate on their body metrics and work around to improve on it.
Electromyography, Surface Electromyography, Sports, Muscle analysis
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