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IMU Dataset For Motion and Device Mode Classification
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1971-4295
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Ericsson Research, Linkoping, Sweden.
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2017 (English)In: 2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Classification of motion mode (walking, running, standing still) and device mode (hand-held, in pocket, in back-pack) is an enabler in personal navigation systems for the purpose of saving energy and design parameter settings and also for its own sake. Our main contribution is to publish one of the most extensive datasets for this problem, including inertial data from eight users, each one performing three pre-defined trajectories carrying four smartphones and seventeen inertial measurement units on the body. All kind of metadata is available such as the ground truth of all modes and position. A second contribution is the first study on a joint classifier of motion and device mode, respectively, where preliminary but promising results are presented.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
International Conference on Indoor Positioning and Indoor Navigation, ISSN 2162-7347
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-143958DOI: 10.1109/IPIN.2017.8115956ISI: 000417415600095ISBN: 978-1-5090-6299-7 (electronic)ISBN: 978-1-5090-6300-0 (print)ISBN: 978-1-5090-6298-0 OAI: oai:DiVA.org:liu-143958DiVA, id: diva2:1169710
Conference
8th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Note

Funding Agencies|European Union FP7 Marie Curie training program on Tracking in Complex Sensor Systems (TRAX) [607400]

Available from: 2017-12-29 Created: 2017-12-29 Last updated: 2017-12-29

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Kasebzadeh, ParinazHendeby, GustafFritsche, CarstenGustafsson, Fredrik
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