IMU Strength Exercise Tracking System

Current wearable exercise trackers lack the capability to monitor strength training exercises-many activity trackers on the market focus on GPS and Electrocardiogram accuracy. Additionally, research projects aimed to monitor strength training exercises either do not include women or include a disproportionate amount of women in their study. The goal of my project is to design a system that is tailored to women to track strength training exercises. The system uses three inertial measurement units placed on the wrist, opposite leg, and lower back to collect angular and acceleration data while a series of exercises are performed. The data is analyzed using signal processing techniques and machine learning in MATLAB. The main metrics that the system outputs are the automatic classification of the type of exercise being performed, the number of repetitions performed of an exercise, and the amount of time between sets.