A Bluetooth Dataset for Proximity Detection in Indoor Environments Collected with Smartphones
2024
- 479Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage479
- Downloads276
- Views203
Dataset Description
How to cite this work: Michele Girolami, Davide La Rosa, Paolo Barsocchi, "A CrowdSensing-based approach for proximity detection in indoor museums with Bluetooth tags", Ad Hoc Networks, Volume 154, 2024, 103367, ISSN 1570-8705, https://doi.org/10.1016/j.adhoc.2023.103367. The dataset contains 32 folders, named R, corresponds to the test number (R1 to R32). Each folder contains 2 files: - -beacons.csv: the file with the raw data - timestamp: Unix timestamps in millis - name: name of the artwork - address: MAC address of the artwork's tag - major: ID of the artwork -rssi: RSSI value expressed in dBm estimated by the receiving device --groundtruth.csv: the with the ground truth - timestamp: Unix timestamps in millis - event: the type of event associated with the entry. IN: visit check-in, OUT: visit check-out - artwork: ID of the artwork
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know