Residential Wearable RSSI and Accelerometer Measurements with Detailed Annotations

dataset

posted on 2019-01-31, 08:40 authored by Dallan ByrneDallan Byrne, Michal KozlowskiMichal Kozlowski

Context

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.

Instructions

1. Download and unzip the dataset.

2. Navigate to:
ble-accelerometer-indoor-localisation-measurements/codes/load_dataset_py

3. Install prerequisites:
pip -r install requirements.txt

4.Run the sample module to load and view the measurements :

python3 src/load_data.py

Further Information

Please cite: Byrne, D., Kozlowski, M., Santos-Rodriguez, R., Piechocki, R. & Craddock, I. Residential wearable RSSI and accelerometer measurements with detailed location annotations. Sci. Data 5, 180168 (2018). https://www.nature.com/articles/sdata2018168

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

Funding

This work was performed under the Sensor Platform for HEalthcare in a Residential Environment (SPHERE) Interdisciplinary Research Collaboration (IRC) funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/K031910/1

Residential Wearable RSSI and Accelerometer Measurements with Detailed Annotations

Funding

This work was performed under the Sensor Platform for HEalthcare in a Residential Environment (SPHERE) Interdisciplinary Research Collaboration (IRC) funded by the UK Engineering and Physical Sciences Research Council (EPSRC), Grant EP/K031910/1

History

Usage metrics

Categories

Keywords

Licence

Exports