Center for Machine Learning and Intelligent Systems 		About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Occupancy Detection Data Set
Download: Data Folder, Data Set Description

Abstract: 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.

Data Set Characteristics:  

Multivariate, Time-Series

Number of Instances:

20560

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

7

Date Donated

2016-02-29

Associated Tasks:

Classification

Missing Values?

N/A

Number of Web Hits:

53502

Source:

Luis Candanedo, luismiguel.candanedoibarra '@' umons.ac.be, UMONS.


Data Set 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:
[Web Link]


Attribute 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


Relevant Papers:

Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, Véronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.



Citation Request:

Please cite the following publication:
Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models. Luis M. Candanedo, Véronique Feldheim. Energy and Buildings. Volume 112, 15 January 2016, Pages 28-39.

Supported By:

 In Collaboration With:
About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML