Giorgio Bianchi
Development of a gym exergame using a low-cost RGB camera for digital health in telerehabilitation.
Rel. Gabriella Olmo, Gianluca Amprimo, Claudia Ferraris. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione, 2024
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Abstract
The focus of this thesis is the development of an exergame prototype designed for the rehabilitation and telerehabilitation of the upper limbs. Development focused on creating a game set in a gym environment, using Google's Mediapipe library to detect the user's movements and spatial positioning. The exergame was built using the Unity game engine, based on an existing open source solution that integrates Mediapipe's pose detection via a Python script with a Unity sample scene. From this, the solution was further developed by incorporating a server-side component, consisting of a NodeJS server and a MongoDB database, to store all data collected during the exercises.
Real-time data is transmitted via websocket from both the Python code and Unity game engine, while CRUD operations, such as user login and registration, recording successful repetitions and errors, are managed through REST APIs
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