OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach

Fahad Alhomayani; Mohammad H. Mahoor

doi:10.1038/s41597-021-00832-y

Scientific Data (Feb 2021)

OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach

Fahad Alhomayani,
Mohammad H. Mahoor

Affiliations

Fahad Alhomayani: Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver
Mohammad H. Mahoor: Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver

DOI: https://doi.org/10.1038/s41597-021-00832-y
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 14

Abstract

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Measurement(s) outdoor location fingerprints • WiFi data • Bluetooth data • cellular signal strengths • Coordinate Technology Type(s) smartphone • magnetometer • Accelerometer • gyroscope • barometer • ambient light sensor Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13370291

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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