TECHFIT AR: DESENVOLVIMENTO DE PROTÓTIPOS PARA ACOMPANHAMENTO NA EXECUÇÃO DE MOVIMENTOS RELACIONADOS A ATIVIDADES FÍSICAS

Abstract

With the accelerated evolution of technology, numerous tools have emerged to enhance the practice of physical exercises. In this context, TechFit AR is introduced as a tool developed with augmented reality to assist individuals in performing physical exercises correctly, preventing injuries and improving training efficiency. The system offers users various functionalities, such as workout configuration through hand gestures, motion detection, and real-time feedback to adjust posture and execution. To achieve this, computer vision techniques were employed using MediaPipe and OpenCV, libraries for motion detection, as well as NumPy, Tkinter, and Pygame, libraries focused on interface and processing. The tests conducted demonstrate that the system operates correctly, ensuring user satisfaction regarding the executed commands and providing appropriate feedback. However, there is room for improvement, such as expanding the range of exercises and involving a specialized physical education professional. TechFit AR should not be overlooked as a useful tool when it comes to monitoring and optimizing physical exercise routines. KEYWORDS: Augmented Reality; Physical Exercises; Motion Detection; Real- Time Feedback; Computer Vision.