Tennis is a popular sport played by millions of people around the world. However, mastering the perfect serve can be a daunting and frustrating process for many amateur players. Traditionally, these players would record their serves and shots on camera and let their coach analyze and compare them to a professional serve. But what if there was a mobile app that could do this using a machine learning algorithm? This is the object of this work, which aims to create an application capable of analyzing and improving the service of amateur tennis players by examining three main aspects: • the degree of flexion of the knees and arms, • the angle of the shoulders when hitting the ball, • the speed of the ball after being hit.
Nov 01, 2022 - May 31, 2023