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Authors: Iuliana Marin ; Maria Bocicor and Arthur-Jozsef Molnar

Affiliation: SC Info World SRL, Bucharest and Romania

ISBN: 978-989-758-375-9

Keyword(s): Indoor Localization, Received Signal Strength, Trilateration, Kalman Filtering, Neural Network.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Cloud Computing ; Data Engineering ; Databases and Data Security

Abstract: This paper presents the initial results of our experiments regarding accurate indoor localisation. The research was carried out in the context of a European Union funded project targeting the development of a configurable, cost-effective cyber-physical system for monitoring older adults in their homes. The system comprises a number of hardware nodes deployed as intelligent luminaires that replace light bulbs present in the monitored location. By measuring the strength of a Bluetooth Low Energy signal generated by a device on the monitored person, a rough estimation of the person’s location is obtained. We show that the presence of walls, furniture and other objects in typical indoor settings precludes accurate localisation. In order to improve accuracy, we employ several software-based approaches, including Kalman filtering and neural networks. We carry out an initial experiment showing that additional software processing significantly improves localisation accuracy.

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Paper citation in several formats:
Marin, I.; Bocicor, M. and Molnar, A. (2019). Indoor Localisation with Intelligent Luminaires for Home Monitoring.In Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-375-9, pages 464-471. DOI: 10.5220/0007751304640471

@conference{enase19,
author={Iuliana Marin. and Maria Iuliana Bocicor. and Arthur{-}Jozsef Molnar.},
title={Indoor Localisation with Intelligent Luminaires for Home Monitoring},
booktitle={Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2019},
pages={464-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007751304640471},
isbn={978-989-758-375-9},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Indoor Localisation with Intelligent Luminaires for Home Monitoring
SN - 978-989-758-375-9
AU - Marin, I.
AU - Bocicor, M.
AU - Molnar, A.
PY - 2019
SP - 464
EP - 471
DO - 10.5220/0007751304640471

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