A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit <a rel="external noopener" href="http://vlm1.uta.edu/~athitsos/publications/escalera_grw2013a.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
ChaLearn multi-modal gesture recognition 2013
<span title="">2013</span>
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7n7fy4pqdbc4xcakjv25uibz4e" style="color: black;">Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13</a>
</i>
Preserved Fulltext
We organized a Grand Challenge and Workshop on Multi-Modal Gesture Recognition. The MMGR Grand Challenge focused on the recognition of continuous natural gestures from multi-modal data (including RGB, Depth, user mask, Skeletal model, and audio). We made available a large labeled video database of 13, 858 gestures from a lexicon of 20 Italian gesture categories recorded with a Kinect T M camera. More than 54 teams participated in the challenge and a final error rate of 12% was achieved by the
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2522848.2532597">doi:10.1145/2522848.2532597</a>
<a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icmi/EscaleraGBRGAESASBS13.html">dblp:conf/icmi/EscaleraGBRGAESASBS13</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tx5jk4bdjjaohk3n4brrj62e4y">fatcat:tx5jk4bdjjaohk3n4brrj62e4y</a>
</span>
more »
... nner of the competition. Winners of the competition published their work in the workshop of the Challenge. The MMGR Workshop was held at ICMI conference 2013, Sidney. A total of 9 relevant papers with basis on multi-modal gesture recognition were accepted for presentation. This includes multi-modal descriptors, multi-class learning strategies for segmentation and classification of temporal data, as well as relevant applications in the field, including multi-modal Social Signal Processing and multimodal Human Computer Interfaces.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808183558/http://vlm1.uta.edu/~athitsos/publications/escalera_grw2013a.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/a0/c1/a0c1c165102f1a9b5f6ce260ba72e3ff76eaa2a0.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2522848.2532597">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
acm.org
</button>
</a>