ByouTrain is an interdisciplinary research project aimed at distinguishing correct and incorrect executions of strength training exercises. The project combines biomechanical insights with modern machine learning techniques.

At its core, ByouTrain investigates variations in exercise performance and seeks to identify and evaluate them using only a single-camera video recording. By integrating biomechanical models, we aim to enhance machine learning methods not just with data, but with scientifically grounded knowledge of human movement.

In the long term, ByouTrain strives to develop a system that provides real-time feedback on exercise quality – without the need for complex sensors or professional supervision. This approach could benefit users of fitness apps and home training programs by promoting safer and more effective workouts