Survey of Bluetooth Indoor Localisation

Recent research provides a detailed survey on Bluetooth indoor localisation. The paper underscores the importance of indoor localisation and the unique challenges it presents, such as the inability of GPS to function indoors. There’s an overview of the types of localisation methods, including triangulation, scene analysis and proximity, as well as the metrics used in … Continue reading “Survey of Bluetooth Indoor Localisation”

Enhancing Indoor Localisation for Ambient Assisted Living

New research Simplified Indoor Localisation Using Bluetooth Beacons and Received Signal Strength (RSSI) Fingerprinting with Smartwatch, introduces an innovative system for indoor localisation using Bluetooth Low Energy beacons and smartwatches, aimed at simplifying the process for users. This system is designed to detect a user’s location within specific areas like rooms within a house, rather … Continue reading “Enhancing Indoor Localisation for Ambient Assisted Living”

Minew’s New MWC01 and MBT02 Repeater Beacons

Minew has recently launched two new beacon models, the MWC01 and MBT02, a new type of product that is a repeater. These repeaters are designed to scan for beacons and re-transmit the strongest signal, providing a new approach to locating, and a way of extending Bluetooth communication. The intended use of these repeaters isn’t entirely … Continue reading “Minew’s New MWC01 and MBT02 Repeater Beacons”

Analysing Sensor Data From Bluetooth Beacons Using AI Machine Learning

Analysing sensor data from Bluetooth beacons using machine learning involves several steps, from data collection and preprocessing to model development and deployment. Here’s an overview of the process: Step 1: Data CollectionThe first step in analysing sensor data from Bluetooth beacons is to collect the data. Beacons continuously broadcast data such as unique identifiers, signal … Continue reading “Analysing Sensor Data From Bluetooth Beacons Using AI Machine Learning”

App-Based Indoor Mobility Detection

The new paper titled A Mobile App-based Indoor Mobility Detection Approach using Bluetooth Signal Strength (PDF) by Muztaba Fuad, Anthony Smith and Debzani Deb from Winston-Salem State University, explores the development and application of a novel system for detecting indoor mobility patterns using the Bluetooth signal strength from mobile devices. This research is significant for … Continue reading “App-Based Indoor Mobility Detection”

NFC and Beacons

Now that some manufacturers have started including NFC in beacons, our customers have started asking about the differences between Beacons and NFC and why NFC is being included. In proximity detection terms you can think of NFC as being an extension of ‘very near’ in iOS’s ‘near’, ‘far’ and ‘intermediate’ proximity classifications. The range is … Continue reading “NFC and Beacons”

Sample Bluetooth Beacon Museum Data Available

Research on Bluetooth dataset for proximity detection in indoor environments collected with smartphones by Michele Girolami, Davide La Rosa, and Paolo Barsocchi, outlines the creation and details of a dataset aimed at enhancing proximity detection between people and points of interest (POIs) within indoor environments, particularly museums. This dataset is created from Bluetooth beacon data … Continue reading “Sample Bluetooth Beacon Museum Data Available”

Anchor-based Bluetooth Low Energy (BLE) 5.0 Positioning

A recent new paper, BLE-Based Indoor Localization: Analysis of Some Solutions for Performance Improvement, focuses on improving the performance of indoor localisation using an anchor-based system based on Bluetooth Low Energy (BLE) 5.0 technology, specifically employing the Received Signal Strength Indicator (RSSI) for distance estimation. Different solutions to enhance this localisation technology’s performance are explored, … Continue reading “Anchor-based Bluetooth Low Energy (BLE) 5.0 Positioning”

Indoor Locating Using Beacons in Nursing Care

The new paper Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care Facilities by Christina Garcia and Sozo Inoue from the Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Japan, presents a study on enhancing machine learning for indoor localisation in caregiving, specifically in nursing homes, using Bluetooth Low Energy … Continue reading “Indoor Locating Using Beacons in Nursing Care”

Using Beacons with Smartphone Apps

Bluetooth beacons are a powerful tool for creating personalised experiences through mobile apps. They work by transmitting signals that can be detected by all smartphones. When a user comes within range, the app detects the beacon’s signal and identifies the user’s proximity to a specific location. This enables the delivery of contextually relevant content, such … Continue reading “Using Beacons with Smartphone Apps”