Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY ND
Data sources: ZENODO
versions View all 2 versions
addClaim

Ninapro Dataset 4 (Cometa Wave Plus + Dormo)

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

Ninapro Dataset 4 (Cometa Wave Plus + Dormo)

Abstract

The 4th Ninapro database includes 10 intact subjects recorded with "Cometa" electrodes (http://www.cometasystems.com/). 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).". Please, cite this paper for any work related to the 5th Ninapro database. The dataset is part of the Ninapro database (http://ninapro.hevs.ch/). Please, look at the database for more information. Acquisition Protocol The subjects repeat several movements represented by movies that are shown on the screen of a laptop. The experiment is divided in three exercises: 1. Basic movements of the fingers 2. Isometric, isotonic hand configurations and basic wrist movements 3. Grasping and functional movements During 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. The 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. Acquisition Setup The muscular activity is gathered using 12 active single–differential wireless electrodes from Cometa. The electrodes are positioned as shown in the figure: eight electrodes are equally spaced around the forearm in correspondence to the radio humeral joint; two electrodes are placed on the main activity spots of the flexor digitorum and of the extensor digitorum; two electrodes are placed on the main activity spots of the biceps and of the triceps. The described locations have been chosen in order to combine a dense sampling approach with a precise anatomical positioning strategy. The electrodes were fixed on the forearm using their standard adhesive bands. The sEMG signals are sampled at a rate of 2 kHz. During 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. The 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. Data Sets For each exercise, for each subject, the database contains one matlab file with synchronized variables. The variables included in the matlab files are: • subject: the subject number; • sensor: the name of the sEMG sensor; • frequency: the frequency in Hertz of the recorded data • exercise: exercise number; • emg: sEMG signal. Columns 1-8 are the electrodes equally spaced around the forearm at the height of the radio humeral joint. Columns 9 and 10 contain signals from the main activity spot of the muscles flexor and extensor digitorum superficialis, while columns 11 and 12 contain signals from the main activity spot of the muscles biceps brachii and triceps brachii. • stimulus: the original label of the movement repeated by the subject; • restimulus: the corrected stimulus, processed with movement detection algorithms; • repetition: stimulus repetition index; • rerepetition: restimulus repetition index; • age: subject’s age; • gender: subject’s gender, ”m” for male ”f” for female; • weight: subject’s weight in kilograms; • height: subject’s height in centimeters; • laterality: subject’s laterality, ”r” for right-handed, ”l” for left-handed; • circumference: circumference of the subject’s forearm at the radio-humeral joint height, measured in centimeters;

{"references": ["Stefano Pizzolato, Luca Tagliapietra, Matteo Cognolato, Monica Reggiani, Henning M\u00fcller, Manfredo Atzori, Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks, Plos One, 2017 (accepted)"]}

Keywords

electromyography, prosthetics, prostheses, cometa wave, dormo, robotic hands

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 115
    download downloads 146
  • 115
    views
    146
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
115
146