Reach a multimodal dataset of the whole upper-limb during simple and complex movements

This dataset was collected to identify which sources of information (e.g., low-density vs. high-density surface electromyography, kinematics, tactile) are more informative during upper limb motor production and therefore exploitable for prosthetic applications. We designed a setup and an experimental protocol to collect data exploitable for this investigation on healthy subjects. The idea is to combine the high spatial resolution of sEMG (low density – Cometa Srl and high density – OT-Bioelettronica), measuring the myoelectric activation patterns of the forearm muscles actuating the wrist and the fingers, with kinematic (Vicon) and tactile information (haptic glove). While kinematics can be useful to correct EMG-based information during the execution of movements, tactile information can be helpful in increasing the information content during object manipulation and exploration.