Automated Monitoring of Gym Exercises through Human Pose Analysis
Ajitkumar Sureshrao Shitole, Mahesh Gaikwad, Prathamesh Bhise, Yash Dusane, Pranav Gaikwad · International Journal of Electrical and Electronics Engineering · 2024
This study offers a game-changing approach that combines techniques and exercises to ensure accuracy and injuryfree performance in all activities, including squats and push-ups. The main goal is to teach proper structure and body posture to reduce injuries while keeping the body strong and having fun. The preparation process has an easy-to-use interface that makes repetitions and exercise preparation tangible. This is much newer than fitness tracking. Consider a system that tracks reps and provides quick feedback as you perform the exercise. Teach users to maintain good posture and reduce the risk of injury by receiving real-time alerts. This work explores the complexities of self-tracking, push alerts and reports, turning every activity into an efficient and mindful one. With 20 different exercises targeting different muscle areas and representative groups, the system will get even better with future mode notifications. To improve performance and safety, the module will give an alert on the screen if the user’s body is faulty. The device uses powerful machine learning algorithms and powerful camera-based prediction technology to provide users with instant feedback on poses and techniques. The proposed platform has the potential to transform the energy industry by changing behavior and improving the safety and effectiveness of exercise. It is a useful tool for anyone who wants to improve their body and health.