A Bluetooth low energy dataset for proximity detection based on commercial smartphones
Published: 18 November 2022| Version 2 | DOI: 10.17632/v7nc4zypgy.2
Contributors:
, , Description
This paper describes a data collection campaign and a dataset of BLE beacons for detecting and analyzing human social interactions. The dataset has been collected by involving 15 volunteers that interacted in indoor environments for a total of 11 hours of activity. The dataset is released as a collection of CSV files with a timestamp, RSSI (Received Signal Strength Indicator) and a unique identifier of the emitting and of the receiving devices. Volunteers wear a wristband equipped with BLE tags emitting beacons at a fixed rate, and a mobile application able to collect and to store beacons.
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Categories
Social Interaction, Contact Tracing