Multidimensional Handwriting Data

The dataset contains multidimensional handwriting data (3D velocity, grip force, pressure, EMG signals) collected during a handwriting task (6 subjects, 7sessions). Each subject wrote the same set of 190 Chinese characters. These multidimensional handwriting data were used to establish a mapping to the neural signals recorded from a paralyzed subject during imagined writing of the same characters. Each file includes: - 3D velocity, grip force, pressure and EMG signals during handwriting - Chinese characters used in the handwriting task (target_charac) - index for strokes and pen lifts (break_ind) - trial order (trial_target) - character of each trial (trial_mask)