Virtual skeleton: Constructive Criticism

Training without professional guidance would easily cause injuries. There are many ways to enhance training performance in the world of sports/athletics. Hiring a professional coach is a very common way that many people conform to. However, not everyone can afford professional athletic coaches. I am hoping to develop a system that can be accessed by a wide range of people who love sports and make professional athletics tutoring affordable to more people. In this proposed research project I will be taking a closer look at track and field, and leverage the power of AI to assist athletics training. Through combining my after class athletics training with my major study of information technology, I propose to develop an intelligent athletics digital assistant for sprinting and longer distances of running. Such a system that will optimize and redefine common training practices. To an untrained eye, minimal flaws are not corrected or even observed. This is especially the case when it comes to running. Using computer vision and machine learning, the visual information collected from an individual’s body will be used to identify any weaknesses or potential complications to a user's movements in real-time. If these movements are not meeting up to requirements and are out of the range of expected optimal performance, feedback will be issued back to the user in order to reinforce optimal performance.