Residential Wearable RSSI and Accelerometer Measurements with Detailed Annotations

<b>Context</b><b></b><br>This repository offers smart-home wearable accelerometer and Radio Signal Strength (RSS) data acquired : 1) with low-cost hardware 2) with high-resolution location annotations 3) from four lived-in premises.<br><b>Instructions</b><br><br>1. Download and unzip the dataset.<br><br>2. Navigate to:<br><i>ble-accelerometer-indoor-localisation-measurements/codes/load_dataset_py</i><br><br><br>3. Install prerequisites: <br><i>pip -r install requirements.txt</i><br><br>4.Run the sample module to load and view the measurements : <br><i>python3 src/load_data.py</i><i><br></i><i><br></i><b>Further Information</b><i><br></i><i><br></i>Please cite: Byrne, D., Kozlowski, M., Santos-Rodriguez, R.,
Piechocki, R. &amp; Craddock, I. Residential wearable RSSI and
accelerometer measurements with detailed location annotations. Sci. Data
5, 180168 (2018).
https://www.nature.com/articles/sdata2018168<br>

Thanks to: Raul Santos-Rodriguez, Robert Piechocki, Ian Craddock,
SPHERE IRC team, Beatriz Monsalve-Carcalen and Raimon Fransoy.

<b>上下文</b>
本仓库提供智能家居可穿戴加速度计与无线信号强度（Radio Signal Strength, RSS）数据集，该数据集的采集具备以下三项特征：1）采用低成本硬件；2）附带高分辨率位置标注；3）采集自四处真实居住场景。

<b>使用指南</b>
1. 下载并解压该数据集。
2. 跳转至以下路径：<i>ble-accelerometer-indoor-localisation-measurements/codes/load_dataset_py</i>
3. 安装依赖环境：<i>pip -r install requirements.txt</i>
4. 运行示例模块以加载并查看测量数据：<i>python3 src/load_data.py</i>

<b>补充信息</b>
请引用以下文献：Byrne, D., Kozlowski, M., Santos-Rodriguez, R., Piechocki, R. 与 Craddock, I. 带详细位置标注的居家可穿戴接收信号强度指示（Received Signal Strength Indicator, RSSI）与加速度计测量数据集. 《科学数据》5, 180168 (2018). https://www.nature.com/articles/sdata2018168

致谢：Raul Santos-Rodriguez、Robert Piechocki、Ian Craddock、SPHERE IRC团队、Beatriz Monsalve-Carcalen及Raimon Fransoy。