Towards Improved Indoor Location with Unmodified RFID Systems

Rui Santos, Ricardo Alexandre, Pedro Marques, Mário Antunes, Mário Antunes, João Paulo Barraca, João Paulo Barraca, João Silva, Nuno Ferreira

2023

Abstract

The management of health systems has been one of the main challenges in several European countries, especially where the aging population is increasing. This led to the adoption of smarter technologies as a means to automate the processes within hospitals. One of the technologies adopted is active location solutions, which allows the staff within the hospital to quickly find any sort of entity, from key persons to equipment. In this work, we focus on developing a reliable method for active location based on RSSI antennas, passive tags, and ML models. Since the tags are passive, the usage of RSSI is discouraged, since it does not vary sufficiently based on our experiments. We explored the usage of alternative features, such as the number of activations per tag within a time slot. Throughout our evaluation, we were able to reach an average error of 0.275 m which is similar to existing RSSI IPS.

Paper Citation

in Harvard Style

Santos R., Alexandre R., Marques P., Antunes M., Paulo Barraca J., Silva J. and Ferreira N. (2023). Towards Improved Indoor Location with Unmodified RFID Systems. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 156-163. DOI: 10.5220/0011793700003411

in Bibtex Style

@conference{icpram23,
author={Rui Santos and Ricardo Alexandre and Pedro Marques and Mário Antunes and João Paulo Barraca and João Silva and Nuno Ferreira},
title={Towards Improved Indoor Location with Unmodified RFID Systems},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={156-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011793700003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Towards Improved Indoor Location with Unmodified RFID Systems
SN - 978-989-758-626-2
AU - Santos R.
AU - Alexandre R.
AU - Marques P.
AU - Antunes M.
AU - Paulo Barraca J.
AU - Silva J.
AU - Ferreira N.
PY - 2023
SP - 156
EP - 163
DO - 10.5220/0011793700003411