TY - JOUR
T1 - A Low Cost Indoor Positioning System Using Bluetooth Low Energy
AU - Bai, Lu
AU - Ciravegna, Fabio
AU - Bond, Raymond
AU - Mulvenna, Maurice
PY - 2020/7/27
Y1 - 2020/7/27
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
KW - indoor localization
KW - living patterns
KW - received signal strength indicator
UR - http://www.scopus.com/inward/record.url?scp=85089603742&partnerID=8YFLogxK
UR - https://ieeexplore.ieee.org/document/9149894/
UR - https://pure.ulster.ac.uk/en/publications/a-low-cost-indoor-positioning-system-using-bluetooth-low-energy
U2 - 10.1109/ACCESS.2020.3012342
DO - 10.1109/ACCESS.2020.3012342
M3 - Article
VL - 8
SP - 136858
EP - 136871
JO - IEEE Access
JF - IEEE Access
M1 - 9149894
ER -
