ArticleSensors (Basel, Switzerland)2020
Detecting and Correcting for Human Obstacles in BLE Trilateration Using Artificial Intelligence.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- From Fingerprinting to Advanced Machine Learning: A Systematic Review of Wi-Fi and BLE-Based Indoor Positioning Systems.Sensors (Basel, Switzerland) · 2025Review
- Evolution of Bluetooth Technology: BLE in the IoT Ecosystem.Sensors (Basel, Switzerland) · 2025Review
- On Indoor Localization Using WiFi, BLE, UWB, and IMU Technologies.Sensors (Basel, Switzerland) · 2023Article
- Indoor Human Detection from a Building's Exterior Using 433 MHz Wireless Transceivers.Sensors (Basel, Switzerland) · 2023Article
- Personal VOCs Exposure with a Sensor Network Based on Low-Cost Gas Sensor, and Machine Learning Enabled Indoor Localization.Sensors (Basel, Switzerland) · 2023Article
- Combining Multichannel RSSI and Vision with Artificial Neural Networks to Improve BLE Trilateration.Sensors (Basel, Switzerland) · 2022Article
- A Perspective on Passive Human Sensing with Bluetooth.Sensors (Basel, Switzerland) · 2022Article
- An Automated Indoor Localization System for Online Bluetooth Signal Strength Modeling Using Visual-Inertial SLAM.Sensors (Basel, Switzerland) · 2021Article
- Do we need a contact tracing app?Computer communications · 2021Article
- Sensors and Sensing Technologies for Indoor Positioning and Indoor Navigation.Sensors (Basel, Switzerland) · 2020Article
- Monitoring of Cow Location in a Barn by an Open-Source, Low-Cost, Low-Energy Bluetooth Tag System.Sensors (Basel, Switzerland) · 2020Article
- A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing-Part I: Fundamentals and Enabling Technologies.IEEE access : practical innovations, open solutions · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
One of the popular candidates in wireless technology for indoor positioning is Bluetooth Low Energy (BLE). However, this technology faces challenges related to Received Signal Strength Indicator (RSSI) fluctuations due to the behavior of the different advertising channels and the effect of human body shadowing among other effects. In order to mitigate these effects, the paper proposes and implements a dynamic Artificial Intelligence (AI) model that uses the three different BLE advertising channels to detect human body shadowing and compensate the RSSI values accordingly. An experiment in an indoor office environment is conducted. 70% of the observations are randomly selected and used for training and the remaining 30% are used to evaluate the algorithm. The results show that the AI model can properly detect and significantly compensate RSSI values for a dynamic blockage caused by a human body. This can significantly improve the RSSI-based ranges and the corresponding positioning accuracies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.