Dataset for Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning

The dataset titled "Real-Time Indoor Localization System Based on Wearable Device, Bluetooth Low Energy (BLE) Beacons, and Machine Learning" 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.

本数据集标题为《基于可穿戴设备、低功耗蓝牙（Bluetooth Low Energy, BLE）信标与机器学习的实时室内定位系统》，采集该数据集旨在支撑面向房间级精度的室内定位系统研发。数据集包含由ESP32设备采集的低功耗蓝牙（BLE）信标（具体型号为iBKS105）的接收信号强度指示（Received Signal Strength Indication, RSSI）测量数据。上述接收信号强度指示值在多个房间场景中采集完成，可用于实现室内环境下的精确定位。该数据集尤其适用于室内定位系统相关研究，包括基于机器学习的定位算法研究。