AI Tool as a Fitness Trainer Using Human Pose Estimation

The COVID-19 pandemic situation where trainers are not accessible, has forced many people to work out at home, resulting in difficulties in accessing professional trainers to validate exercise postures. Therefore, there is a need for an automated training facility. To address this challenge, a deep learning model is developed in this research work which uses Mediapipe, a machine learning and computer vision solution, and BlazePose, a real-time pose estimation model, to analyze exercise movements and provide real-time feedback to users. Our model enables safer and more effective home workout routines by validating posture and offering corrective suggestions, while increasing accessibility and reducing costs associated with professional physical trainers. This paper presents our proposed model, which has the potential to revolutionize the way people exercise at home. The model has been evaluated on an exercise video dataset and its performance is satisfactory.