Recognizing Exercises and Counting Repetitions in Real Time
This addresses the need for automated repetition counting in fitness competitions like Weightlifting or CrossFit, but it appears incremental as it applies existing methods to a specific domain.
The paper tackles the problem of real-time exercise recognition and repetition counting by combining pose estimation and deep learning, reporting feedback on repetitions during exercises.
Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry. Human pose estimation is one of the important researches in the field of Computer Vision for the last few years. In this project, pose estimation and deep machine learning techniques are combined to analyze the performance and report feedback on the repetitions of performed exercises in real-time. Involving machine learning technology in the fitness industry could help the judges to count repetitions of any exercise during Weightlifting or CrossFit competitions.