A kinematic and EMG dataset of online adjustment of reach-to-grasp movements to visual perturbations

This dataset aims to advance modeling efforts of reach-to-grasp
movements by making publicly available a large kinematic and EMG dataset of
online adjustment of reach-to-grasp movements to instantaneous perturbations of
object size and distance performed in immersive haptic-free virtual environment
(hf-VE). The dataset's novelty lies in a large number of perturbation types (10
for both object size and distance) applied at three different latencies after
the start of the movement