The study was designed to test the acceptability of the SI-ROBOTICS system in a group of 20 subjects with Parkinson's Disease at an early stage during a rehabilitation treatment.
The SI-ROBOTICS system is composed of multiple technological components with the aim of facilitating a rehabilitation program based on Irish dance and encouraging the execution of dance steps. The SI-ROBOTICS system consists of:
- ROBOTIC PLATFORM: a social robot that allows the monitoring of patients during sessions, moving around patients safely and, if necessary, intervening in their support.
- LET'S DANCE GAME: a component that allows users to enjoy the game sessions (setting up of therapy sessions by the therapist, presentation of tasks to the player and execution by the latter, display of feedback on the sessions).
- ENVIRONMENTAL AND WEARABLE SENSORS: this allows data to be collected on the patient's main clinical parameters (e.g. heart rate, respiratory rate, etc.). These data allow the therapist to know the patient's state during the execution of tasks and the AI reasoner component to have an additional level of information with which to adapt the planning of steps.
- AI REASONERS: this is the back-end of the Si-Robotics system, i.e. the "intelligent" component that allows the adaptation of the game sessions, based on the users' game performance and the data collected through the sensors. In this way it will be possible to dynamically customize the session according to the user's needs and abilities.
- ARTIFICIAL VISION SETTING: a commercial camera called Inter Real Sense (https://www.intel.it/content/www/it/it/architecture-and-technology/realsense-overview.html) will be installed in the experimental setting for the extraction of kinematic parameters, saved anonymously and locally on this computer. Also the robotic platform will be equipped with a RealSense camera and will be able to acquire kinematic parameters. To extract features of interest from the signals, proprietary skeleton tracking software of the Real Sense camera will be used, together with specially developed algorithms for feature extraction.
In addition, kinematic and performance parameters will be collected, which will be used by the physiotherapist to evaluate and plan subsequent sessions, and by the system to delineate the levels of difficulty of the exercise.