Dataset Open Access

# Ninapro dataset 5 (double Myo armband)

Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo

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{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.1000116",
"title": "Ninapro dataset 5 (double Myo armband)",
"issued": {
"date-parts": [
[
2017,
10,
1
]
]
},
"abstract": "<p>The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo.com/) armbands.<br>\nThe database can be used to test the Myo armbands separately as well.</p>\n\n<p>The database is thoroughly described in the paper: \"Pizzolato et al., Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks, Plos One 2017 (accepted).\".<br>\nPlease, cite this paper for any work related to the 5th Ninapro database.</p>\n\n<p>The dataset is part of the Ninapro database (http://ninapro.hevs.ch/). Please, look at the database for more information.</p>\n\n<p><strong>Acquisition Protocol</strong><br>\nThe subjects have to repeat several movements represented by movies that are shown on the screen of a laptop.<br>\nThe experiment is divided in three exercises:<br>\n1. Basic movements of the fingers<br>\n2. Isometric, isotonic hand configurations and basic wrist movements<br>\n3. Grasping and functional movements<br>\nDuring the acquisition, the subjects were asked to repeat the movements with the right hand. Each movement repetition lasted 5 seconds and was followed by 3 seconds of rest.<br>\nThe protocol includes 6 repetitions of 52 different movements (plus rest) performed by 10 intact subjects. The movements were selected from the hand taxonomy as well as from hand robotics literature.</p>\n\n<p><strong>Acquisition Setup</strong><br>\nThe muscular activity is gathered using 2 Thalmic Myo armbands. The database can be used to test the Myo armbands separately as well.<br>\nThe subjects in this database wore two Myo armbands one next to the other, including 16 active single\u2013differential wireless electrodes. The top Myo armband is placed closed to the elbow with the first sensor placed on the radio humeral joint, as in the standard Ninapro configuration for the equally spaced electrodes; the second Myo armband is placed just after the first, nearer to the hand, tilted of 22.5 degrees. This configuration provides an extended uniform muscle mapping at an extremely affordable cost. The Myo sensors do not require the arm to be shaved and after few minutes the armband tighten very firmly to the arm of the subject.<br>\nThe sEMG signals are sampled at a rate of 200 Hz.</p>\n\n<p>\u00a0</p>\n\n<p>The kinematic information is recorded with a dataglove (22 sensors Cyberglove 2). The cyberglove signal corresponds to raw data from the cyberglove sensors located as shown in the following pictures.<br>\nThe raw data are declared to be proportional to the angles at the joints in the CyberGlove manual.</p>\n\n<p>\u00a0</p>\n\n<p><strong>Data Sets</strong><br>\nFor each exercise, for each subject, the database contains one matlab file with synchronized variables.<br>\nThe variables included in the matlab files are:<br>\n\u2022 subject: the subject number;<br>\n\u2022 sensor: the name of the sEMG sensor;<br>\n\u2022 frequency: the frequency in Hertz of the recorded data<br>\n\u2022 exercise: exercise number;<br>\n\u2022 emg: sEMG signal. Columns 1-8 are the electrodes equally spaced around the forearm at the height of the radio humeral joint. Columns 9-16 represent the second Myo, tilted by 22.5 degrees clockwise.<br>\n\u2022 acc (3 columns): raw signals from the three axis accelerometer of the first Myo, found in the Myo DB<br>\n\u2022 glove (22 columns): uncalibrated signal from the 22 sensors of the CyberGlove. The raw data are declared to be proportional to the angles of the joints in the CyberGlove manual.<br>\n\u2022 stimulus: the original label of the movement repeated by the subject;<br>\n\u2022 restimulus: the corrected stimulus, processed with movement detection algorithms;<br>\n\u2022 repetition: stimulus repetition index;<br>\n\u2022 rerepetition: restimulus repetition index;<br>\n\u2022 age: subject\u2019s age;<br>\n\u2022 gender: subject\u2019s gender, \u201dm\u201d for male \u201df\u201d for female;<br>\n\u2022 weight: subject\u2019s weight in kilograms;<br>\n\u2022 height: subject\u2019s height in centimeters;<br>\n\u2022 laterality: subject\u2019s laterality, \u201dr\u201d for right-handed, \u201dl\u201d for left-handed;<br>\n\u2022 circumference: circumference of the subject\u2019s forearm at the radio-humeral joint height, measured in centimeters;</p>\n\n<p>\u00a0</p>",
"author": [
{
"family": "Pizzolato, Stefano"
},
{
"family": "Tagliapietra, Luca"
},
{
"family": "Cognolato, Matteo"
},
{
"family": "Reggiani, Monica"
},
{
"family": "M\u00fcller, Henning"
},
{
"family": "Atzori, Manfredo"
}
],
"type": "dataset",
"id": "1000116"
}
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