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IMU Dataset For Motion and Device Mode Classification

Authors :
Kasebzadeh, Parinaz
Hendeby, Gustaf
Fritsche, Carsten
Gunnarsson, Fredrik
Gustafsson, Fredrik
Kasebzadeh, Parinaz
Hendeby, Gustaf
Fritsche, Carsten
Gunnarsson, Fredrik
Gustafsson, Fredrik
Publication Year :
2017

Abstract

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

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1233401092
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1109.IPIN.2017.8115956