Hand and eye tracking data of People with Multiple Sclerosis in Mixed reality

The present dataset reports hand- and eye-tracking data of People with Multiple Sclerosis (PwMS) recording with Microsoft HoloLens2. PwMS were requested to perform nine pick-and-place movements involving three plastic boxes. The kinematic trajectories were exploited to extract features related to hand movements and hand-eye coordination. Subsequently, such features were compared to unimpaired motor behavior (not present in this dataset) to asses whether HoloLens2 could be used as a marker-less solution to evaluate the severity of Multiple Sclerosis upper-limb impairments.