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<p>Dear Colleagues,<br>
<br>
The Wearable Technologies Lab at the University of Sussex is glad
to inform you about the SHL Activity Recognition Challenge (<a
moz-do-not-send="true"
href="http://www.shl-dataset.org/activity-recognition-challenge/">http://www.shl-dataset.org/activity-recognition-challenge/</a>).<br>
<br>
The goal of this machine learning/data science challenge is to
recognize 8 modes of locomotion and transportation (activities)
from the inertial sensor data of a smartphone. The dataset used
for this challenge comprises 271 hours of training data and 95
hours of test data.<br>
The participants will have to develop an algorithm pipeline that
will process the sensor data, create models and output the
recognized activities. The best three teams will also receive
prizes!<br>
<br>
The participants should also write a technical paper explaining
their methods and development process, which will be presented at
a special session at the <a moz-do-not-send="true"
href="http://hasca2018.hasc.jp/">HASCA Workshop</a> at <a
moz-do-not-send="true" href="http://ubicomp.org/ubicomp2018/">Ubicomp
2018</a>. <br>
<br>
The timeline of the challenge:<br>
- Registration via email: as soon as possible, but not later than
20.06.2018<br>
- Challenge duration: 01.06.2018 - 15.07.2018<br>
- Submission deadline: 15.07.2018<br>
- HASCA paper submission: TBA (tentative: 31.07.2018)<br>
- HASCA Workshop presentation: TBA (tentative: 08.10.2018)<br>
<br>
Organizers:<br>
- Dr. Hristijan Gjoreski, University of Sussex (UK) & Ss.
Cyril and Methodius University (MK)<br>
- Dr. Lin Wang, University of Sussex (UK)<br>
- Dr. Daniel Roggen, University of Sussex (UK)<br>
- Dr. Kazuya Murao, Ritsumeikan University (JP)<br>
<br>
Contact:<br>
All inquiries should be directed to: <a moz-do-not-send="true"
href="shldataset.challenge@gmail.com">shldataset.challenge@gmail.com</a><br>
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<pre class="moz-signature" cols="72">--
Hristijan Gjoreski
PhD, Research Fellow
University of Sussex, UK
Web: <a class="moz-txt-link-freetext" href="http://dis.ijs.si/hristijan">http://dis.ijs.si/hristijan</a></pre>
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