Tracking and Evaluating the performance of Human Exercising By Computer Vision Approach

Abstract

The fitness sector has experienced strong growth in recent years, with a good portion of the population never giving up their weekly training sessions. The development of this market has been accompanied by an increase in the services offered by gyms and sports associations, with systems to plan and manage increasingly tech-based sports activities built around users. The combination of fitness and technology was already a phenomenon that was being consolidated, but due to COVID-19, it has undergone further growth. However, during the quarantine, we can only workout at home. Using Deep Learning and Signal Processing, this project serves as a personal trainer for your at-home workouts, guiding you through exercises such as push-ups and squats with the correct form.