Resource Efficient Machine Learning Techniques for Monitoring Repetitive Activities through Wearable Devices in Real-time

Abstract

Weight training activities have become an inseparable part of an athlete's training to reach their maximum performance. However, at the same time, weight training is considered as the fifth costliest sport in terms of injuries. Studies have shown that monitoring weight training performance is one of the most effective ways of reducing injuries caused by this type of exercise. Given the complexity of weight training exercises, it is a challenge for trainees to know whether they are performing their exercises correctly or not. Considering the fact that incorrect performance of a weight training exercise can result in life-long injuries, which may cost athletes their professional careers, it is..