Machine Learning for Enhanced Exercise Performance and Planning
摘要
This study proposes a machine learning-based approach to improve exercise evaluation and schedule planning. Key point detection via MoveNet assesses user movements, compares them to standard exercises, and analyzes body metrics. In the absence of body data, BodyPix estimates BMI through body part segmentation. The application, built on React Expo Go, provides real-time feedback to help users correct their form during workouts.