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Subject:
From:
Hristijan Gjoreski <[log in to unmask]>
Reply To:
Hristijan Gjoreski <[log in to unmask]>
Date:
Fri, 1 Jun 2018 11:02:54 +0200
Content-Type:
text/plain
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Dear Colleagues,

The Wearable Technologies Lab at the University of Sussex is glad to 
inform you about the *SHL Activity Recognition Challenge* 
(http://www.shl-dataset.org/activity-recognition-challenge/).

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.
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!

The participants should also write a technical paper explaining their 
methods and development process, which will be presented at a special 
session at the HASCA Workshop <http://hasca2018.hasc.jp/> at Ubicomp 
2018 <http://ubicomp.org/ubicomp2018/>.
*
**The timeline of the challenge:*
- Registration via email: as soon as possible, but not later than 20.06.2018
- Challenge duration: 01.06.2018 - 15.07.2018
- Submission deadline: 15.07.2018
- HASCA paper submission: TBA (tentative: 31.07.2018)
- HASCA Workshop presentation: TBA (tentative: 08.10.2018)

Organizers:
- Dr. Hristijan Gjoreski, University of Sussex (UK) & Ss. Cyril and 
Methodius University (MK)
- Dr. Lin Wang, University of Sussex (UK)
- Dr. Daniel Roggen, University of Sussex (UK)
- Dr. Kazuya Murao, Ritsumeikan University (JP)

Contact:
All inquiries should be directed to: *[log in to unmask]*

-- 
Hristijan Gjoreski
Assistant Professor

Ss. Cyril and Methodius, MK
University of Sussex, UK
Web:http://dis.ijs.si/hristijan


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