MeganePro is the last Ninapro dataset. It is the first multimodal dataset from intact and hand amputated subjects including electromyography, intertial, gaze tracking, visual, behavioral and clinical data for prosthetics and phantom limb sensation analyses.
MeganePro brings researchers in the field to the next level, i.e. to improve robotic prosthesis control with eye-hand coordination and to better understand the neurologic and neurocognitive effects of amputation on the persons.

Journal articles:

Matteo Cognolato, Arjan Gijsberts, Valentina Gregori, Gianluca Saetta, Katia Giacomino, Anne-Gabrielle Mittaz Hager, Andrea Gigli, Diego Faccio, Cesare Tiengo, Franco Bassetto, Barbara Caputo, Peter Brugger, Manfredo Atzori & Henning Müller. Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics. Sci Data 7, 43 (2020)

Gianluca Saetta, Matteo Cognolato, Manfredo Atzori, Diego Faccio, Katia Giacomino, Anne-Gabrielle Mittaz Hager, Cesare Tiengo, Franco Bassetto, Henning Müller & Peter Brugger. Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls. Sci Data 7, 60 (2020)..

Data links:
MeganePro dataset 1 (MDS1). Harvard Dataverse.
MeganePro dataset 2 (MDS2). Harvard Dataverse. (2020).
MeganePro dataset 4 (MDS4). Harvard Dataverse. (2020).
MeganePro dataset “Clinical Interview and Neurocognitive Tests in Amputees” (MDSInfo). Harvard Dataverse. (2020).