Description
This dataset contains domotic sensor data recorded in a flat at LACE Housing in Lincoln, UK. Data was continuously recorded in a mongo database for one month. The database contains one collection with data from zwave sensors.
Citation
If you are considering using this data, please reference the following:
Fernandez-Carmona M. and Bellotto N. (2020) “Wavelet-based Temporal Models of Human Activities for Anomaly Detection”.
Recording platform:
Recordings were made using OpenHAB 1.8.3, with the following sensors:
Sensor | Item field prefix | location |
Fibaro Wall Plug Sensor | Kitchen_Plug_ | Coffee machine |
Fibaro Multi Sensor | Kitchen_Multi_ | Kitchen |
Fibaro Door Sensor | Fridge_Door_ | Fridge door |
Fibaro Door Sensor | Entry_Door_ | Entry door |
Fibaro Multi Sensor | Livingroom_Multi_ | Livingroom |
Fibaro Multi Sensor | Bathroom_Multi_ | Bathroom |
Fibaro Multi Sensor | Bedroom_Multi_ | Bedroom |
Fibaro Wall Plug Sensor | Other_Plug_ | TV |
Download and Related Software*
Mongo database can be downloaded here. Additionally, we use this dataset to develop models of human activity. A ROS implementation is available here: Wavelet-based Temporal Forecasting Action Server
*If you consider using these, please send us an email (Manuel Fernandez-Carmona or Nicola Bellotto) telling a little more about your ideas.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Copyright (c) 2020 Manuel Fernandez-Carmona, and Nicola Bellotto.
Funding
This work was funded in part by the EU Horizon 2020 project ENRICHME, H2020-ICT-2014-1, Grant agreement no.: 643691.