ArticleSensors (Basel, Switzerland)2019
Fuzzy Logic Type-2 Based Wireless Indoor Localization System for Navigation of Visually Impaired People in Buildings.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers' Markets.Sensors (Basel, Switzerland) · 2025Article
- Federated Learning Framework for Real-Time Activity and Context Monitoring Using Edge Devices.Sensors (Basel, Switzerland) · 2025Article
- Visible Light Communications-Based Assistance System for the Blind and Visually Impaired: Design, Implementation, and Intensive Experimental Evaluation in a Real-Life Situation.Sensors (Basel, Switzerland) · 2023Article
- Sound-Based Localization Using LSTM Networks for Visually Impaired Navigation.Sensors (Basel, Switzerland) · 2023Article
- UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision.Sensors (Basel, Switzerland) · 2022Article
- LidSonic V2.0: A LiDAR and Deep-Learning-Based Green Assistive Edge Device to Enhance Mobility for the Visually Impaired.Sensors (Basel, Switzerland) · 2022Article
- A Novel Valued Tolerance Rough Set and Decision Rules Method for Indoor Positioning Using WiFi Fingerprinting.Sensors (Basel, Switzerland) · 2022Article
- Bluetooth Low Energy Beacon Sensors to Document Handheld Magnifier Use at Home by People with Low Vision.Sensors (Basel, Switzerland) · 2021Article
- Enhanced PDR-BLE Compensation Mechanism Based on HMM and AWCLA for Improving Indoor Localization.Sensors (Basel, Switzerland) · 2021Article
- Hybrid Approach for Indoor Localization Using Received Signal Strength of Dual-Band Wi-Fi.Sensors (Basel, Switzerland) · 2021Article
- UJAmI Location: A Fuzzy Indoor Location System for the Elderly.International journal of environmental research and public health · 2021Article
- LightGBM Indoor Positioning Method Based on Merged Wi-Fi and Image Fingerprints.Sensors (Basel, Switzerland) · 2021Article
- An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM.Sensors (Basel, Switzerland) · 2021Article
- Optimized CNNs to Indoor Localization through BLE Sensors Using Improved PSO.Sensors (Basel, Switzerland) · 2021Article
- An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation.Sensors (Basel, Switzerland) · 2021Review
- CCpos: WiFi Fingerprint Indoor Positioning System Based on CDAE-CNN.Sensors (Basel, Switzerland) · 2021Article
- Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning Using Bluetooth Low Energy.Sensors (Basel, Switzerland) · 2021Article
- An Enhanced Indoor Positioning Technique Based on a Novel Received Signal Strength Indicator Distance Prediction and Correction Model.Sensors (Basel, Switzerland) · 2021Article
- Efficient Multi-Object Detection and Smart Navigation Using Artificial Intelligence for Visually Impaired People.Entropy (Basel, Switzerland) · 2020Article
- Improved Bluetooth Low Energy Sensor Detection for Indoor Localization Services.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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