Conference paper Open Access

INPUT — H2020 EU project to advance hand prosthetic control

Amsuss; Schachinger; Russold


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.1198304</identifier>
  <creators>
    <creator>
      <creatorName>Amsuss</creatorName>
      <affiliation>Otto Bock Healthcare Products GmbH</affiliation>
    </creator>
    <creator>
      <creatorName>Schachinger</creatorName>
      <affiliation>Otto Bock Healthcare Products GmbH</affiliation>
    </creator>
    <creator>
      <creatorName>Russold</creatorName>
      <affiliation>Otto Bock Healthcare Products GmbH</affiliation>
    </creator>
  </creators>
  <titles>
    <title>INPUT — H2020 EU project to advance hand prosthetic control</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>upper limb</subject>
    <subject>prosthesis</subject>
    <subject>control</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-09-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1198304</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1198303</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;INPUT is a European H2020 project (02/2016-02/2020) that focuses on advancing upper limb prosthetics by&lt;br&gt;
tackling the most significant aspects of successfully fitting such a device to a user: Improved socket for more comfortable fit and wearing; Improved training to maximize the outcome with the patient; Improved recognition algorithms for better and more robust control; Improved evaluations to make sure that the devices are tested in clinically relevant scenarios.&lt;br&gt;
We will achieve this by increasing our theoretical knowledge on the control generating mechanisms, by ample end user&lt;br&gt;
testing (2 of the 4 project years are dedicated to user testing) and by implementing the project as an Innovation Action,&lt;br&gt;
meaning an increased focus on high market readiness.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/687795/">687795</awardNumber>
      <awardTitle>Intuitive Natural Prosthesis UTilization</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
44
19
views
downloads
All versions This version
Views 4444
Downloads 1919
Data volume 13.8 MB13.8 MB
Unique views 4444
Unique downloads 1919

Share

Cite as