Abstract
Coupled with sensors, robotic devices for Stroke rehabilitation describe the motor behavior of patients as kinematic and dynamic data, which are underexplored in the machine learning context, due to the time-consuming task of pursuing enough data volume. Moreover, the establishment of means for a quantitative assessment of patient progress, as well as whether data volume is large enough f…