EMG Data for Gestures
Donated on 1/6/2019
These are files of raw EMG data recorded by MYO Thalmic bracelet
Dataset Characteristics
Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Real
# Instances
30000
# Features
-
Dataset Information
Additional 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)
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 6 of 6
Additional Variable 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).
Dataset Files
| File | Size |
|---|---|
| EMG_data_for_gestures-master/30/1_raw_data_09-49_21.03.16.txt | 4.7 MB |
| EMG_data_for_gestures-master/13/2_raw_data_13-29_21.03.16.txt | 4.6 MB |
| EMG_data_for_gestures-master/13/1_raw_data_13-26_21.03.16.txt | 4.6 MB |
| EMG_data_for_gestures-master/34/1_raw_data_10-51_07.04.16.txt | 4.5 MB |
| EMG_data_for_gestures-master/11/1_raw_data_13-11_18.03.16.txt | 4.4 MB |
0 to 5 of 73
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset emg_data_for_gestures = fetch_ucirepo(id=481) # data (as pandas dataframes) X = emg_data_for_gestures.data.features y = emg_data_for_gestures.data.targets # metadata print(emg_data_for_gestures.metadata) # variable information print(emg_data_for_gestures.variables)
Krilova, N., Kastalskiy, I., Kazantsev, V., Makarov, V., & Lobov, S. (2018). EMG Data for Gestures [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5ZP5C.
Creators
N. Krilova
I. Kastalskiy
V. Kazantsev
V.A. Makarov
S. Lobov
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.