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6 results for “Bluetooth Low Energy”
Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'
<p>Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'</p> <p>This package contains a collaborative BLE-RSS database, which considers different collaborative set-ups involving five mobile devices. The database is composed of three main subdirectories (Raw-Data, Processed-Data, and Code). The Code directory contains the Matlab script files used to process the raw data, visualize the processed data, and usage examples of the data provided. Further information is provided in the Readme file.</p>
Dataset for Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning
<p>The dataset titled <strong>"Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning</strong><strong>"</strong> was collected to support the development of an indoor localization system that operates at the room level. The dataset includes measurements of Received Signal Strength Indication (RSSI) from Bluetooth Low Energy (BLE) beacons (specifically the iBKS105 model) recorded by an ESP32 device. These RSSI values were captured across various rooms, allowing for precise localization within an indoor environment. The dataset is particularly useful for research in indoor localization system including machine learning-based localization algorithms.</p>
Bluetooth Low Energy based Dataset for Smartphone localization in moving vehicles for electronic toll collection.
<p><span>The collected Dataset presents a data collection based on Bluetooth Low Energy (BLE) technology and the use of smartphones for the purposes of vehicle localization and tracking. </span><span>The system is based on a two-dimensional 8 switched-beam directive panel antennas mounted on an electronic toll collection (ETC) gateway. The multibeam antenna topology is installed on the ETC at a height of 4.7 m and </span><span>the data collected from several experiments, together with the set-up and methodology, are reported here.</span><span> The data collection can be divided into two main sections. First, the system was calibrated in an 8 x 8 meter area below the ETC. The distance between adjacent test points is 0.5 m, with a total of 100 samples measured for each test point in every 8 switched-beam panel antenna. Secondly, the results of dynamic test with vehicles passing at different speeds carrying smartphones and using BLE are detailed. As a validation of the dataset, a benchmark analysis for data visualization and localization/tracking estimation applying MUltiple SIgnal Classification and fingerprinting algorithms is included.</span></p>
Screaming Channels on Bluetooth Low Energy
<p>Publication of 2 datasets from the <a href="https://github.com/pierreay/screaming_channels_ble">Screaming Channels on Bluetooth Low Energy</a> project for the <a href="https://github.com/pierreay/screaming_channels_ble/blob/main/docs/demo_20240828_acsac/README.org">ACSAC24 Artifact Evaluation.</a></p>
Monitoring of cow location in barn by an open source low cost low energy Bluetooth tag system
<p>Supplementary materials for: Bloch, V., Pastell, M., 2020. Monitoring of Cow Location in a Barn by an Open-Source, Low-Cost, Low-Energy Bluetooth Tag System. Sensors 20, 3841. <a href="https://doi.org/10.3390/s20143841">https://doi.org/10.3390/s20143841</a></p>
Bluetooth Low Energy Separate Channel Fingerprinting dataset with Frequency-Scanned Antennas and Monopole
<p><span>This dataset contains Bluetooth Low Energy Separate Channel (SC BLE) Fingerprinting (FP) data recorded in an indoor facility. The dataset includes Received Signal Strength Information (RSSI) data collected from two independent location systems: one created with four BLE beacons connected to four traditional monopole antennas, and the other four beacons connected to two dual-port Frequency-Scanned Leaky Wave Antennas (FS LWA). Both systems are installed covering the same 7m x 5m area located in a basement zone. </span></p> <p><span>The dataset includes a reference radiomap file for each point equidistant 50cm to generate Fingerprinting techniques. The calibrated radiomap files are included in the Calibration_21112023 folder. In the name of each file, the {x, y} position where the data were recorded is included, with a total of 130 reference points. The data labelled as P1 and P2 are the RSSI recorded from beacons connected to FS LWA1, while P3 and P4 data corresponds to RSSI obtained from beacons of FS LWA2. Finally, P5, P6, P7 and P8 data sets belong to beacons connected to individual monopole antennas. Each calibration file contains 100 samples of RSSI received from the corresponding beacons at each one of the 130 reference points forming the calibration grid. </span></p> <p><span>The dataset also includes test samples for different days. These days are labelled as day 1, 8, 15, 22, 29, 51, 86 and 94 after the calibration day 0. This way, the variation of the different SC FP BLE antenna systems’ performance over time, can be studied. This classification of the data as a function of time, is categorized in the folders with the names Test_day_XX_date. As done with the reference calibration information for day 0, a file with the RSSI collected in each reference point (within a total of 130 grid points) can be found in each folder. The name of the file indicates the reference point where the data were collected. </span></p> <p><span>Different to the reference calibration data of day 0 (where 100 RSSI samples were considered for each one of the 130 calibrated {x, y} positions), the test data obtained in different subsequent days is composed by ten samples of RSSI for each one of the 130 test point. </span></p> <p><span>Moreover, to test the performance of the systems when some modifications occur where the calibration was performed, some data tests are collected adding several offices' furniture on the days 15, 22, 29, 51 and 94 after the calibration procedure performed at day 0. These data are stored in folders with the name Test_day_XX_with_furnitures_date. Similar to the previous test data, the name of the file includes 130 reference {x,y} points, with 10 RSSI samples each, and for the corresponding eight beacons (P1..P8), which are labelled for both monopole (P5, P6, P7 and P8) and FS LWA antenna systems (P1 and P2 for FS LWA1 and P3 and P4 for FS LWA2). <span> </span></span></p>
ScienceDex guides
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