BLE-WBAN: RF real-world dataset of BLE-devices in human-centric healthcare environments
收藏DataCite Commons2023-09-22 更新2025-04-16 收录
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https://ieee-dataport.org/documents/ble-wban-rf-real-world-dataset-ble-devices-human-centric-healthcare-environments
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资源简介：
In communication and networking research, obtaining large, real-world datasets related to the physical layer has always been challenging, especially in IoT and Health IoT. We introduce an open-source physical-layer dataset of Bluetooth Low Energy (BLE) IoT sensor devices recorded in an anechoic chamber using USRP x310. With a 100Msps sampling rate, it covers the entire BLE spectrum, featuring on-body and off-body scenarios with 13 BLE devices (ESP32s) from the same manufacturer. the goal is to study the physical layer characteristics of both on-body and off-body signals. The dataset is also available through MongoDB with a Python tool for analysis; for more details, please visit our GitHub page.
提供机构：
IEEE DataPort
创建时间：
2023-09-22
