Data Set Characteristics: |
Time-Series |
Number of Instances: |
30000 |
Area: |
Life |
Attribute Characteristics: |
Real |
Number of Attributes: |
6 |
Date Donated |
2019-01-07 |
Associated Tasks: |
Classification |
Missing Values? |
N/A |
Number of Web Hits: |
6531 |
Source:
Creators:
Lobov S.(1), Krilova N.(2), Kastalskiy I.(3), Kazantsev V.(4), Makarov V.A.(5, 6)
1 Lobachevsky State University of Nizhny Novgorod, Gagarin Ave. 23, 603950 Nizhny Novgorod, Russia. lobov '@' neuro.nnov.ru.
2 Lobachevsky State University of Nizhny Novgorod, Gagarin Ave. 23, 603950 Nizhny Novgorod, Russia. k-nadezhda-k '@' yandex.ru.
3 Lobachevsky State University of Nizhny Novgorod, Gagarin Ave. 23, 603950 Nizhny Novgorod, Russia. kastalskiy '@' neuro.nnov.ru.
4 Lobachevsky State University of Nizhny Novgorod, Gagarin Ave. 23, 603950 Nizhny Novgorod, Russia. kazantsev '@' neuro.nnov.ru.
5 Lobachevsky State University of Nizhny Novgorod, Gagarin Ave. 23, 603950 Nizhny Novgorod, Russia. vmakarov '@' ucm.es.
6 Department of Applied Mathematics, Instituto de Matemática Interdisciplinar, Universidad Complutense de Madrid, 28040 Madrid, Spain. vmakarov '@' ucm.es.
Data Set Information:
For recording patterns, we used a MYO Thalmic bracelet worn on a user’s forearm, and a PC with a Bluetooth receiver. The bracelet is equipped with eight sensors equally spaced around the forearm that simultaneously acquire myographic signals. The signals are sent through a Bluetooth interface to a PC.
We present raw EMG data for 36 subjects while they performed series of static hand gestures.The subject performs two series, each of which consists of six (seven) basic gestures. Each gesture was performed for 3 seconds with a pause of 3 seconds between gestures.
Number of Instances is about 40000-50000 recordings in each column (30000 listed as guaranteed)
Attribute Information:
Description of raw_data _*** file
Each file consist of 10 columns:
1) Time - time in ms;
2-9) Channel - eightEMG channels of MYO Thalmic bracelet;
10) Class –thelabel of gestures:
0 - unmarked data,
1 - hand at rest,
2 - hand clenched in a fist,
3 - wrist flexion,
4 – wrist extension,
5 – radial deviations,
6 - ulnar deviations,
7 - extended palm (the gesture was not performed by all subjects).
Relevant Papers:
Relevant Paper:
Lobov S., Krilova N., Kastalskiy I., Kazantsev V., Makarov V.A. Latent Factors Limiting the Performance of sEMG-Interfaces. Sensors. 2018;18(4):1122. doi: 10.3390/s18041122
Citation Request:
Supported by the Ministry of Education and Science of the Russian Federation in the framework of megagrant allocation in accordance with the decree of the government of the Russian Federation â„–220, project â„– 14.Y26.31.0022
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