Ninapro

Ninapro is a publicly available multimodal database aimed at fostering machine learning research on human, robotic & prosthetic hands.
The 10 Ninapro datasets include a total of over 180 data acquisitions from intact subjects and transradial hand amputees (including electromyography, kinematic, inertial, clinical, neurocognitive and eye-hand coordination data).
The datasets are accessible using the links in the table below and are thoroughly described in the linked open access scientific papers.
Please, cite the corresponding article when using the datasets.

We hope that you will enjoy Ninapro.
The Ninapro team


Ninapro datasets

Name Aim # of subjects # of movements EMG setup Modalities Link
DB1 Classification or regression 27 52 10 Otto Bock sEMG, kinematic DB1
DB2 Classification or regression 40 49 12 Delsys Trigno sEMG, kinematic, inertial, force DB2
DB3 Classification or regression 11 amputees 49 12 Delsys Trigno sEMG, inertial DB3
DB4 Classification or regression 10 52 12 Cometa sEMG, kinematic DB4
DB5 Classification or regression 10 52 2 Thalmic Myo Armbands (16 electrodes) sEMG, inertial DB5
DB6 Repeatability (2 acquisitions a day for 5 days) 10 7 14 Delsys Trigno sEMG, inertial, eye tracking glasses with scene camera DB6
DB7 Classification or regression 20 intacts, 2 amputees 6 12 Delsys Trigno sEMG, inertial DB7
DB8 Finger regression 10 intacts, 2 amptuees 9 16 Delsys Trigno sEMG, kinematic DB8
DB9 Large-scale kinematics analyses 77 40 sEMG, kinematic DB9
DB10 - Megane Pro Eye-hand coordination, classification 30 intacts, 15 amputees 10 12 Delsys Trigno sEMG, inertial, eye tracking glasses with camera, behavioral, clinical DB10


Other resources




Work partially supported by the Swiss National Science Foundation (www. snf.ch) through the Sinergia projects #132700 NinaPro and #160837 MeganePro.