Next Article in Journal
Relaxation-Related Piezoelectric and Dielectric Behavior of Bi(Mg,Ti)O3–PbTiO3 Ceramic
Previous Article in Journal
Estimation of Heart Rate Recovery after Stair Climbing Using a Wrist-Worn Device
Open AccessArticle

Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings

1
Computer Engineering Department, College of Computer Science and Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
2
Faculty of Informatics, Kaunas University of Technology, Kaunas 51386, Lithuania
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(9), 2114; https://doi.org/10.3390/s19092114
Received: 26 February 2019 / Revised: 4 April 2019 / Accepted: 4 April 2019 / Published: 7 May 2019
(This article belongs to the Section Sensor Networks)
The ability to precisely locate and navigate a partially impaired or a blind person within a building is increasingly important for a wide variety of public safety and localization services. In this paper, we explore indoor localization algorithms using Bluetooth Low Energy (BLE) beacons. We propose using the BLE beacon’s received signal strength indication (RSSI) and the geometric distance from the current beacon to the fingerprint point in the framework of fuzzy logic for calculating the Euclidean distance for the subsequent determination of location. According to our results, the fingerprinting algorithm with fuzzy logic type-2 (hesitant fuzzy sets) is fit for use as an indoor localization method with BLE beacons. The average error of localization is only 0.43 m, and the algorithm obtains a navigation precision of 98.2 ± 1%. This precision confirms that the algorithms provide great aid to a visually impaired person in unknown spaces, especially those designed without physical tactile guides, as confirmed by low Fréchet and Hausdorff distance values and high navigation efficiency index (NEI) scores. View Full-Text
Keywords: indoor positioning; indoor localization sensors; indoor navigation; fuzzy logic; signal fingerprinting; Bluetooth beacons; assisted living indoor positioning; indoor localization sensors; indoor navigation; fuzzy logic; signal fingerprinting; Bluetooth beacons; assisted living
Show Figures

Figure 1

MDPI and ACS Style

AL-Madani, B.; Orujov, F.; Maskeliūnas, R.; Damaševičius, R.; Venčkauskas, A. Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings. Sensors 2019, 19, 2114.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop