Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove

Digital Twin technology in healthcare offers personalized care through advanced analytics, real-time data, and virtual models. In this paper we propose the adoption of the Digital Twin approach as a means for modeling hands, both injured and healthy, in a Double Digital Twin (DDT) using the Virtual Glove. The VG acts as a supportive rehabilitation device, capable of collecting data and reconstructing models for both the impaired and healthy hands. This study emphasizes the calibration process, which adjusts the model of the healthy hand to match the injured hand. Additionally, the transformed healthy hand model is used to guide the task with the injured system, ensuring synchronization and repeatability of exercises. Furthermore, the framework associated with DDT facilitates the analysis and quantification of the mobility of the impaired hand in comparison to the healthy one. Finally, a preliminary experiment is presented.