Real-time Web Monitoring of Shoulder Rehabilitation Exercises Using Artificial Vision Techniques

The implementation of rehabilitation exercises to support recovery from shoulder pain through software development is a promising solution in the area of health. It begins with the identification of user requirements necessary to continue with the design and construction of the software, later technological tools such as the Python programming language,the Django framework used for the creation and administration of the web system are selected. Computer vision libraries such as OpenCV and MediaPipe were integrated into the software architecture. The registration and authentication of users was carried out thanks to the established models of Django,it was customized according to the identified needs of the system. Regarding the abduction exercise, it was carried out in four steps, which were validated by calculating the angle of elevation of the arm through image processing with the implemented tool, these angles are registered in a database and later presented in graphs for the analysis and follow-up of the physiotherapist in charge of the rehabilitation.