Occupancy Detection
About
Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
Three data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
For the journal publication, the processing R scripts can be found in:
https://github.com/LuisM78/Occupancy-detection-data
Subject Area
Computer Science
Instances
20,560
Features
7
Data Types
Multivariate
Tasks
Classification
Feature Types
Continuous
Features
| Name | Role | Type | Units | Missing Values | Description |
|---|---|---|---|---|---|
| id | Id | Integer | - | No | |
| date | Feature | Date | - | No | |
| Temperature | Feature | Integer | C | No | |
| Humidity | Feature | Continuous | % | No | |
| Light | Feature | Integer | Lux | No | |
| CO2 | Feature | Continuous | ppm | No | |
| HumidityRatio | Feature | Continuous | kgwater-vapor/kg-air | No | |
| Occupancy | Target | Binary | - | No |
Introductory Paper
Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models
L. Candanedo, V. Feldheim. 2016.
Energy and Buildings, Volume 112