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  <doc>
    <id>9688</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>104012</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>123</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">SHREC 2024: Recognition Of Dynamic Hand Motions Molding Clay</title>
    <abstract language="eng">Gesture recognition is a tool to enable novel interactions with different techniques and&#13;
applications, like Mixed Reality and Virtual Reality environments. With all the recent&#13;
advancements in gesture recognition from skeletal data, it is still unclear how well state-of-&#13;
the-art techniques perform in a scenario using precise motions with two hands. This&#13;
paper presents the results of the SHREC 2024 contest organized to evaluate methods&#13;
for their recognition of highly similar hand motions using the skeletal spatial coordinate&#13;
data of both hands. The task is the recognition of 7 motion classes given their spatial&#13;
coordinates in a frame-by-frame motion. The skeletal data has been captured using&#13;
a Vicon system and pre-processed into a coordinate system using Blender and Vicon&#13;
Shogun Post. We created a small, novel dataset with a high variety of durations in&#13;
frames. This paper shows the results of the contest, showing the techniques created&#13;
by the 5 research groups on this challenging task and comparing them to our baseline&#13;
method.</abstract>
    <parentTitle language="eng">Computers &amp; Graphics</parentTitle>
    <identifier type="doi">10.1016/j.cag.2024.104012</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="AcceptedDate">2024-07-10</enrichment>
    <author>Ben Veldhuijzen</author>
    <submitter>Martin Hanik</submitter>
    <author>Remco C. Veltkamp</author>
    <author>Omar Ikne</author>
    <author>Benjamin Allaert</author>
    <author>Hazem Wannous</author>
    <author>Marco Emporio</author>
    <author>Andrea Giachetti</author>
    <author>Joseph J. LaViola Jr</author>
    <author>Ruiwen He</author>
    <author>Halim Benhabiles</author>
    <author>Adnane Cabani</author>
    <author>Anthony Fleury</author>
    <author>Karim Hammoudi</author>
    <author>Konstantinos Gavalas</author>
    <author>Christoforos Vlachos</author>
    <author>Athanasios Papanikolaou</author>
    <author>Ioannis Romanelis</author>
    <author>Vlassis Fotis</author>
    <author>Gerasimos Arvanitis</author>
    <author>Konstantinos Moustakas</author>
    <author>Martin Hanik</author>
    <author>Esfandiar Nava-Yazdani</author>
    <author>Christoph von Tycowicz</author>
    <collection role="persons" number="vontycowicz">Tycowicz, Christoph von</collection>
    <collection role="persons" number="navayazdani">Navayazdani, Esfandiar</collection>
    <collection role="persons" number="hanik">Hanik, Martin</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <collection role="institutes" number="GDAP">Geometric Data Analysis and Processing</collection>
    <collection role="projects" number="DDESAMT">DDESAMT</collection>
    <collection role="projects" number="Math+EF1-18">Math+EF1-18</collection>
  </doc>
</export-example>
