A low cost indoor positioning system using bluetooth low energy

Lu Bai; Fabio Ciravegna; Raymond Bond; Maurice Mulvenna

doi:10.1109/ACCESS.2020.3012342

A low cost indoor positioning system using bluetooth low energy

Lu Bai, Fabio Ciravegna^*, Raymond Bond, Maurice Mulvenna

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

118 Citations (Scopus)

51 Downloads (Pure)

Abstract

In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g. people living with dementia) or individuals with disabilities. The proposed sensing system is composed of multiple sensors that are installed in different locations in a home environment. The specific location of the user in the building has been pre-recorded into the proposed sensing system that captures the raw Received Signal Strength Indicator (RSSI) from the BLE beacon that is attached on the user. Two methods are proposed to determine the indoor location and the tracking of the users: a trilateration-based method and fingerprinting-based method. Experiments have been carried out in different home environments to verify the proposed system and methods. The results show that our system is able to accurately track the user location in home environments and can track the living patterns of the user which, in turn, may be used to infer the health status of the user. Our results also show that the positions of the BLE beacons on the user and different quality of BLE beacons do not affect the tracking accuracy.

Original language	English
Pages (from-to)	136858-136871
Number of pages	14
Journal	IEEE Access
Volume	8
DOIs	https://doi.org/10.1109/ACCESS.2020.3012342
Publication status	Published - 27 Jul 2020
Externally published	Yes

Bibliographical note

Funding Information:
This work was partially funded by SETA project which was funded by the European Commission as part of the Horizon 2020 Programme under Contract 688082.

Publisher Copyright:
© 2013 IEEE.

Keywords

Bluetooth low energy
indoor localization
living patterns
received signal strength indicator

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ACCESS.2020.3012342Licence: CC BY

A low cost indoor positioning system using bluetooth low energy
Copyright 2020 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 2.88 MBLicence: CC BY

Cite this

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title = "A low cost indoor positioning system using bluetooth low energy",

abstract = "In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g. people living with dementia) or individuals with disabilities. The proposed sensing system is composed of multiple sensors that are installed in different locations in a home environment. The specific location of the user in the building has been pre-recorded into the proposed sensing system that captures the raw Received Signal Strength Indicator (RSSI) from the BLE beacon that is attached on the user. Two methods are proposed to determine the indoor location and the tracking of the users: a trilateration-based method and fingerprinting-based method. Experiments have been carried out in different home environments to verify the proposed system and methods. The results show that our system is able to accurately track the user location in home environments and can track the living patterns of the user which, in turn, may be used to infer the health status of the user. Our results also show that the positions of the BLE beacons on the user and different quality of BLE beacons do not affect the tracking accuracy.",

keywords = "Bluetooth low energy, indoor localization, living patterns, received signal strength indicator",

author = "Lu Bai and Fabio Ciravegna and Raymond Bond and Maurice Mulvenna",

note = "Funding Information: This work was partially funded by SETA project which was funded by the European Commission as part of the Horizon 2020 Programme under Contract 688082. Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2020",

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doi = "10.1109/ACCESS.2020.3012342",

language = "English",

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AU - Bai, Lu

AU - Ciravegna, Fabio

AU - Bond, Raymond

AU - Mulvenna, Maurice

N1 - Funding Information: This work was partially funded by SETA project which was funded by the European Commission as part of the Horizon 2020 Programme under Contract 688082. Publisher Copyright: © 2013 IEEE.

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N2 - In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g. people living with dementia) or individuals with disabilities. The proposed sensing system is composed of multiple sensors that are installed in different locations in a home environment. The specific location of the user in the building has been pre-recorded into the proposed sensing system that captures the raw Received Signal Strength Indicator (RSSI) from the BLE beacon that is attached on the user. Two methods are proposed to determine the indoor location and the tracking of the users: a trilateration-based method and fingerprinting-based method. Experiments have been carried out in different home environments to verify the proposed system and methods. The results show that our system is able to accurately track the user location in home environments and can track the living patterns of the user which, in turn, may be used to infer the health status of the user. Our results also show that the positions of the BLE beacons on the user and different quality of BLE beacons do not affect the tracking accuracy.

AB - In this paper, we present a Bluetooth Low Energy (BLE) based indoor positioning system developed for monitoring the daily living pattern of old people (e.g. people living with dementia) or individuals with disabilities. The proposed sensing system is composed of multiple sensors that are installed in different locations in a home environment. The specific location of the user in the building has been pre-recorded into the proposed sensing system that captures the raw Received Signal Strength Indicator (RSSI) from the BLE beacon that is attached on the user. Two methods are proposed to determine the indoor location and the tracking of the users: a trilateration-based method and fingerprinting-based method. Experiments have been carried out in different home environments to verify the proposed system and methods. The results show that our system is able to accurately track the user location in home environments and can track the living patterns of the user which, in turn, may be used to infer the health status of the user. Our results also show that the positions of the BLE beacons on the user and different quality of BLE beacons do not affect the tracking accuracy.

KW - Bluetooth low energy

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KW - living patterns

KW - received signal strength indicator

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JO - IEEE Access

JF - IEEE Access

ER -

A low cost indoor positioning system using bluetooth low energy

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this