Occupancy Detection

Donated on 2/28/2016

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.

Dataset Characteristics

Multivariate, Time-Series

Subject Area

Computer Science

Associated Tasks

Classification

Feature Type

Real

# Instances

20560

# Features

6

Dataset Information

Additional Information

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

Has Missing Values?

No

Introductory Paper

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
idIDIntegerno
dateFeatureDateno
TemperatureFeatureIntegerCno
HumidityFeatureContinuous%no
LightFeatureIntegerLuxno
CO2FeatureContinuousppmno
HumidityRatioFeatureContinuouskgwater-vapor/kg-airno
OccupancyTargetBinary0 for not occupied, 1 for occupied statusno

0 to 8 of 8

Additional Variable Information

date time year-month-day hour:minute:second Temperature, in Celsius Relative Humidity, % Light, in Lux CO2, in ppm Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status

Dataset Files

FileSize
datatest2.txt683.3 KB
datatraining.txt582.7 KB
datatest.txt196.1 KB

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1 citations
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Creators

Luis Candanedo

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