The University of Southampton
University of Southampton Institutional Repository

Dataset in support of the journal article 'Evaluation of hand action classification accuracies using machine learning based on two electrode sEMG signals'

Dataset in support of the journal article 'Evaluation of hand action classification accuracies using machine learning based on two electrode sEMG signals'
Dataset in support of the journal article 'Evaluation of hand action classification accuracies using machine learning based on two electrode sEMG signals'
This dataset is supporting the article to be published in Sensors, The dataset contains the results presented in the article in .xlsx( format: data_Shaw_Devin_Tang_Jiang_2024.xls The excel file contains all experimental data used for generating Figures 5a, 5b, 5c, 5d, 7, 8, 9, 10, 11 and 12. Sheets are named accordingly. The data is available 'on request', please complete the request form and return it to researchdata@soton.ac.uk
University of Southampton
Shaw, Hope Octavia
b98622aa-8c92-4912-9bf7-78f88d30bed6
Devin, Kirstie
a8f23fa0-db53-44a4-abd8-03a72800f88d
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Tang, Jinghua
b4b9a22c-fd6d-427a-9ab1-51184c1d2a2c
Shaw, Hope Octavia
b98622aa-8c92-4912-9bf7-78f88d30bed6
Devin, Kirstie
a8f23fa0-db53-44a4-abd8-03a72800f88d
Jiang, Liudi
374f2414-51f0-418f-a316-e7db0d6dc4d1
Tang, Jinghua
b4b9a22c-fd6d-427a-9ab1-51184c1d2a2c

Shaw, Hope Octavia (2024) Dataset in support of the journal article 'Evaluation of hand action classification accuracies using machine learning based on two electrode sEMG signals'. University of Southampton doi:10.5258/SOTON/D2941 [Dataset]

Record type: Dataset

Abstract

This dataset is supporting the article to be published in Sensors, The dataset contains the results presented in the article in .xlsx( format: data_Shaw_Devin_Tang_Jiang_2024.xls The excel file contains all experimental data used for generating Figures 5a, 5b, 5c, 5d, 7, 8, 9, 10, 11 and 12. Sheets are named accordingly. The data is available 'on request', please complete the request form and return it to researchdata@soton.ac.uk

Text
READ_ME_File_For_D2941.txt - Text
Download (2kB)
Text
Request-Form-D2941.docx - Dataset
Download (94kB)

More information

Published date: 30 April 2024

Identifiers

Local EPrints ID: 488820
URI: http://eprints.soton.ac.uk/id/eprint/488820
PURE UUID: 253496c2-2ba9-4ede-a669-b0a7afaf9f34
ORCID for Kirstie Devin: ORCID iD orcid.org/0000-0001-6794-2375
ORCID for Liudi Jiang: ORCID iD orcid.org/0000-0002-3400-825X
ORCID for Jinghua Tang: ORCID iD orcid.org/0000-0003-3359-5891

Catalogue record

Date deposited: 05 Apr 2024 16:45
Last modified: 12 Jul 2024 01:43

Export record

Altmetrics

Contributors

Creator: Hope Octavia Shaw
Contributor: Kirstie Devin ORCID iD
Research team head: Liudi Jiang ORCID iD
Contributor: Jinghua Tang ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×