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21 results for “bluetooth”
Bluetooth indoor localization Dataset
<p><strong>Bluetooth indoor localization Dataset</strong>: Collected to perform experimentation on how bluetooth signal strengths can be used to determine one of the indoor locations. The dataset has 6 transmission power, from Tx01 to Tx06; and in each dataset have 5 features with the bluetooth RSSI because the enviroment have 5 BLE4.0 and 1 categorical target that is the sector where the person is located (15 sectors total).</p>
Synchronous transmissions on Bluetooth 5 and IEEE 802.15.4 - A replication study
<p>Archive of the following GitHub repository: <a href="https://github.com/romain-jacob/ST_data_and_viz">https://github.com/romain-jacob/ST_data_and_viz</a></p> <p>This repository contains the raw data and analysis scripts of a replication study of synchronous transmissions using the <a href="https://www.nordicsemi.com/en/Software%20and%20tools/Development%20Kits/nRF52840%20Dongle">nRF52840 Dongle</a> where we compare the success rate of synchronous transmission attempts using two transmitters while varying a number of parameters. The repository also contains the source code of a data visualization application, which you can either</p> <ul> <li>run locally or</li> <li><a href="https://github.com/romain-jacob/ST_data_and_viz/blob/master/URL">online in your web browser</a> at <a href="http://explore-st-data.ethz.ch/">http://explore-st-data.ethz.ch/</a></li> </ul> <p>The study is described in more details in the following publication.</p> <blockquote> <p><strong>Synchronous transmissions on Bluetooth 5 and IEEE 802.15.4 - A replication study</strong><br> Romain Jacob, Anna-Brit Schaper, Andreas Biri, Reto da Forno, Lothar Thiele<br> <a href="https://cpsbench20.ethz.ch/">CPS-IoTBench'20</a><br> [ <a href="https://openreview.net/forum?id=BSZPNEUHiS2">Direct link</a> ]</p> </blockquote> <p>The dataset has been collected during the <a href="https://doi.org/10.3929/ethz-b-000375332">Master thesis of Anna-Brit Schaper.</a></p>
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>
A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization
<p><strong>Overview</strong>:<br> The dataset contains measurements of Angle of Arrival (AoA) and Received Signal Strength (RSS)collected from Bluetooth 5.1 tags and a set of 4 anchor nodes deployed in an indoor environment. The data collection campaign has been conducted in a wide-open room of 110 square meters located in a wide open room.<br> The dataset includes four application scenarios covering typical use-cases for indoor localization:</p> <ol> <li>calibration: 4 anchors and 1 tag mounted on a tripod and positioned in 119 different locations;</li> <li>static: 4 anchors and 1 tag held by a person resting in 36 different locations. The tag is locked on a lanyard around the person's neck, we collect data with the person oriented toward North, South, East and West;</li> <li>mobility: 4 anchors and a person holding the tag around the neck a moving along 3 different paths;</li> <li>proximity scenario: 4 anchors and tags held by groups of people. We reproduce proximity with dyads, triplets and of groups of 4 people approach and distancing along the time.</li> </ol> <p>All the scenarios include an accurate Ground Truth (GT) annotation. The dataset is organized in four folders one for each scenario: Calibration, Static, Mobility and Proximity.</p> <p>The dataset enables the study of how AoA varies under stationary or mobility conditions, facilitating the analysis of an anchor's AoA model. In addition, the data collected can be analyzed to create a simulator of AoA values, which is useful for rapid prototyping and evaluation of indoor localization algorithms.</p> <p><strong>How to use the dataset</strong>:<br> Please, read the README.txt file detailing the dataset's format and the data collection camping. In summary, collected data include:<br> - Timestamp<br> - Tag identifier<br> - RSS on the 1<sup>st</sup> antenna's polarization<br> - AoA azimuth<br> - AoA elevation<br> - RSS on the 2<sup>nd</sup> antenna's polarization<br> - Bluetooth channel<br> - Anchor identifier</p> <p><strong>How to cite this dataset</strong>:</p> <p>- DOI number of this datsaset : 10.5281/zenodo.7759557</p> <p>- M. Girolami, F. Furfari, P. Barsocchi and F. Mavilia, "A Bluetooth 5.1 Dataset Based on Angle of Arrival and RSS for Indoor Localization," in <em>IEEE Access</em>, vol. 11, pp. 81763-81776, 2023, doi: 10.1109/ACCESS.2023.3301126.</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>
Runestones of Harald Bluetooth and Gorm
Two runestones in the churchyard at Jelling, the Viking capital of Harald Bluetooth, setup about AD965. The larger stone setup by Harald dedicated to his parents Gorm and Thyra and the smaller setup by his father dedicated to Thyra. The modelling of these two stones on a wet spring day was challenging as they are contained within protective glass, steel and cast bronze housings. further details can be gained from the Danish National Museum website https://en.natmus.dk/historical-knowledge/denmark/prehistoric-period-until-1050-ad/the-viking-age/the-monuments-at-jelling/the-jelling-stone/ The Jelling museum is not to be missed and has magnificent and innovative displays https://en.natmus.dk/museums-and-palaces/kongernes-jelling-home-of-the-viking-kings/ Source: Objaverse 1.0 / Sketchfab
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>
EWSN23: IPv6 over Bluetooth Advertisements: An alternative approach to IP over BLE - Experiment Raw Data
<p>This dataset contains the raw experiment data that was used in our paper "IPv6 over Bluetooth Advertisements: An alternative approach to IP over BLE" published at EWSN23.</p>
Do Bluetooth Noise Cancelling Headphones Improve the Quality of Care in Hearing Impaired Patients?
ClinicalTrials.gov study NCT05420038. IPD Sharing: NO. Countries: 1. Publications: 7.
WiFi and Bluetooth RSSI SQI Indoor Localization
<h2><strong>Wi-Fi BLE RSSI SQI Localization dataset</strong></h2> <p>Wi-Fi BLE RSSI for positioning / Indoor Localization in <strong>4 different locations</strong> and using <strong>18 different APs</strong></p> <p>Data is only measured at the <strong>Router Side</strong></p> <p>Data is not measured at client side</p> <p>Has <strong>12 datasets</strong> inside the zip folder with over <strong>1,000,000 data points</strong></p> <p>Contains processed Wi-Fi and BLE packets from various routers in: <br>1. University of Victoria, Engineering Office Wing (EOW) <br>2. University of Victoria, Engineering Lab Wing (ELW) <br>3. University of Victoria, Engineering and Computer Science (ECS) <br> <br>Each folder contains a training dataset and a testing dataset that is independent in time and space</p> <p>Router Time is synchronized using chrony</p> <p> </p> <h2><strong>Dataset is in CSV format</strong></h2> <p>Relative Time (seconds) | X Position (meters) | Y Position (meters) | Feature 1 | Feature 2 | Feature 3 ..... <br> <br>Time resets at every new position and position accuracy is a few centimeters using LIDAR and RGBD camera <br> <br> <br>Map is in ROS2 PGM format that can read by ROS2 programs <br> <br> <br>Data for the paper <br> <br>Wi-Fi and Bluetooth Contact Tracing Without User Intervention</p> <p><br><a href="https://ieeexplore.ieee.org/document/9866766" rel="nofollow">https://ieeexplore.ieee.org/document/9866766</a></p> <p> </p> <p>Please Cite As</p> <blockquote> <pre>@article{yuen2022wi, title={Wi-Fi and Bluetooth contact tracing without user intervention}, author={Yuen, Brosnan and Bie, Yifeng and Cairns, Duncan and Harper, Geoffrey and Xu, Jason and Chang, Charles and Dong, Xiaodai and Lu, Tao}, journal={IEEE Access}, volume={10}, pages={91027--91044}, year={2022}, publisher={IEEE} }</pre> </blockquote>
Using Bluetooth Beacon Technology to Reduce Distracted Pedestrian Behavior
ClinicalTrials.gov study NCT03604497. IPD Sharing: YES. Countries: 1. Publications: 0.
Harald Bluetooth's Runestone, Jelling, Denmark.
Created in RealityCapture by Capturing Reality from 248 images in 01h:54m:43s. This is the famous Jelling stone erected by the viking Harald Bluetooth around 965AD. An earlier stone erected by his father, Gorm the Old, stands beside it - and represents the earliest mention of Denmark. Harald's stone, known as Denmark's Birth Certificate also contains one of the earliest mentions of Denmark ('tanmuark') and tells of Harald becoming the King of the Denmark and Norway and making the conversion of the Danes to Christianity. The modern Danish Royal Family can trace its roots directly back to Gorm and Harald. The Jelling stones are not only part of a Unesco World Heritage Site, but also are so fundamental to Danish History that a picture of the Christ figure is included on the inside front cover of every modern Danish passport. For more information see: https://en.natmus.dk/historical-knowledge/denmark/prehistoric-period-until-1050-ad/the-viking-age/the-monuments-at-jelling/the-jelling-stone/ Source: Objaverse 1.0 / Sketchfab
Using Bluetooth Home Blood Pressure Monitors With Pharmacist Interventions
ClinicalTrials.gov study NCT05606783. IPD Sharing: Not stated. Countries: 1. Publications: 0.
FreeStyle Libre Plus Bluetooth Transmitter Adjunct: Can This Improve Glucose Accuracy and Reduce Burden of Hypoglycaemia
ClinicalTrials.gov study NCT04147637. IPD Sharing: NO. Countries: 1. Publications: 0.
Association Between Cardiac ARRHYTHMIAs and Glycemic Variability in Patient With Type 2 Diabetes Monitored Through FREEstyle Libre and Bluetooth Technology.
ClinicalTrials.gov study NCT05994755. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Examining Bluetooth Haptic Device Use for Pain and Anxiety Reduction in Vascular Access Procedures
ClinicalTrials.gov study NCT06234228. IPD Sharing: Not stated. Countries: 1. Publications: 0.
REal World Assessment for Patients Implanted With Implantable CardioverTer DefibrIllatOr Using Bluetooth Technology
ClinicalTrials.gov study NCT05175937. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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