MeganePro dataset 1 (MDS1)
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 Christian Brugger, Manfredo Atzori, Henning Müller · Harvard Dataverse · 2019
General Information The dataset contains the data of the static and dynamic grasping tasks (Exercise 1) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project. The data were collected with the aim of improving the robustness of multi-degree of freedom prosthetic hands through the integration of surface electromyography (sEMG), accelerometer, gaze and scene camera video. Acquisition Protocol Static movement Dynamic movement Data Information Data type Surface electromyography (sEMG) Accelerometry Gaze Video in first person of the scene Data format MAT-file format containing the standard data record MAT-file format containing the auxiliary data record with original sampling MPEG-4 files for the video of the scene Detailed information about experimental setup, protocol, and data records can be found in the related publication.