The project “Medical Mapping of the Kinesiological Profile of Patients with Multiple Sclerosis (TALOS)” aims to record indicators that are associated with the effective management of patients with multiple sclerosis using artificial intelligence technologies that work with smart devices (smart activity devices). More specifically, within the framework of the TALOS project, a platform was developed that records the kinetic footprint through low-cost smart sensors (motion, speed), as well as the spatial footprint through the use of topographic data (maps). The diverse data collected can be processed by machine learning technologies in order to extract semantic indicators that are associated with the effective management of patients with Multiple Sclerosis.