Sensor-fusion for smartphone location tracking using hybrid multimodal deep neural networks

Wei, X., Wei, Z. and Radu, V. orcid.org/0000-0003-3502-4355 (2021) Sensor-fusion for smartphone location tracking using hybrid multimodal deep neural networks. Sensors, 21 (22). 7488.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: indoor localization; sensor fusion; multimodal deep neural network; multimodal sensing; wifi fingerprinting; pedestrian dead reckoning
Dates:
  • Accepted: 14 October 2021
  • Published (online): 11 November 2021
  • Published: 11 November 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Nov 2021 13:45
Last Modified: 15 Nov 2021 13:45
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/s21227488

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