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Date:
Tue, 14 May 2019 10:49:07 +0200
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Hristijan Gjoreski <[log in to unmask]>
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Hristijan Gjoreski <[log in to unmask]>
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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-2019/).

This follows on our very successful 2018 challenge, which saw the 
participation of 22 teams.

This year’s edition uses previously unreleased data. 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 in a mobile-phone placement independent manner.

The dataset used for this challenge comprises 59 days of training data, 
3 days of validation data, and 20 days 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.

*All teams will receive a certificate of participation, and the best 
three teams will also receive a prize!*

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 at Ubicomp 2019 
*(http://hasca2019.hasc.jp/), and included in the adjunct proceedings.

The timeline of the challenge:
- Registration via email: as soon as possible, but not later than 01.06.2019
- Challenge duration: 15.05.2019 – 30.06.2019
- Submission of predictions deadline: 30.06.2019
- HASCA paper submission: 30.06.2019
- HASCA Workshop presentation: 09. or 10.09.2019 in London @UbiComp/ISWC 
conference

Organizers:
- Dr. Daniel Roggen, University of Sussex (UK)
- Dr. Hristijan Gjoreski, Ss. Cyril and Methodius University (MK)
- Dr. Lin Wang, Queen Mary University of London (UK)
- Mathias Ciliberto, University of Sussex (UK)
- Dr. Kazuya Murao, Ritsumeikan University (JP)
- Dr. Tsuyoshi Okita, Kyushu Institute of Technology (JP)
- Paula Lago, Kyushu Institute of Technology  (JP)

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

-- 
Hristijan Gjoreski

Assistant Professor
Faculty of Electrical Engineering and Information Technologies,
Ss. Cyril and Methodius University - Skopje, N. Macedonia
Web: http://dis.ijs.si/hristijan



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