DB10 - Megane Pro

MeganePro is the first multimodal database from intact and hand amputated subjects including sEMG, intertial, gaze tracking, visual, behavioral and clinical data for prosthetics and phantom limb sensation analyses.

MeganePro data bring researchers in the field to the next level, i.e. to better understand the neurologic and neurocognitive effects of amputation on the persons and to improve robotic prosthesis control with eye-hand coordination.

MeganePro Data are described in detail in the following papers:

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)..

MeganePro Data are available at the following links:
MeganePro dataset 1 (MDS1). Harvard Dataverse. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN...
MeganePro dataset 2 (MDS2). Harvard Dataverse. https://doi.org/10.7910/DVN/78QFZH (2020).
MeganePro dataset 4 (MDS4). Harvard Dataverse. https://doi.org/10.7910/DVN/F9R33N (2020).
MeganePro dataset “Clinical Interview and Neurocognitive Tests in Amputees” (MDSInfo). Harvard Dataverse. https://doi.org/10.7910/DVN/EJJ91H (2020).