<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>3015</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>164</pageFirst>
    <pageLast>171</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>SCITEPRESS - Science and Technology Publications</publisherName>
    <publisherPlace>Valletta, Malta</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-12-20</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Public Dataset of Overground and Treadmill Walking in Healthy Individuals Captured by Wearable IMU and sEMG Sensors</title>
    <abstract language="eng">The paper presents our public Gait Analysis Data Base (http://gaitanalysis.th-brandenburg.de), which contains 3D walking kinematics and muscle activity data from healthy adults walking at normal, slow or fast pace on the flat ground or at an incremental speeds on treadmill. The acceleration, angular velocity and magnetic rate vectors are measured using XSens MTw sensors attached to both feet, shanks, thighs and the pelvis. EMG recordings are acquired using PLUX sEMG sensors applied at various leg muscles. The paper gives not only a detailed description of the data base, its webpage and the used terms (scenario, proband, experiment and trial), but also an overview about the experimental setup, the acquisition of data and the procedure of the experiments, the data processing and evaluation. Results of exemplary applications are described in the second part of the paper.</abstract>
    <parentTitle language="eng">Konferenz: 13th International Conference on Bio-inspired Systems and Signal Processing,Valletta, Malta, 2020/ Konferenzband: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies</parentTitle>
    <identifier type="isbn">978-989-758-398-8</identifier>
    <identifier type="url">https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0008879501640171</identifier>
    <identifier type="doi">10.5220/0008879501640171</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Harald Loose</author>
    <author>Laura Tetzlaff</author>
    <author>Jon Bolmgren</author>
    <collection role="institutes" number="">Fachbereich Informatik und Medien</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
  </doc>
</export-example>
