Room-level occupant counts and environmental quality from heterogeneous sensing modalities in a smart building

Jens Hjort Schwee*, Aslak Johansen, Bo Nørregaard Jørgensen, Mikkel Baun Kjærgaard, Claudio Giovanni Mattera, Fisayo Caleb Sangogboye, Christian Veje

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

The research areas of occupant sensing and occupant behavior modeling are lacking comprehensive public datasets for providing baseline results and fostering data-driven approaches. This data descriptor covers a dataset collected via sensors on room-level occupant counts together with related data on indoor environmental quality. The dataset comprises 44 full days, collated in the period March 2018 to April 2019, and was collected in a public building in Northern Europe. Sensor readings cover three rooms, including one lecture room and two study zones. The data release contains two versions of the dataset, one which has the raw readings and one which has been upsampled to a one-minute resolution. The dataset can be used for developing and evaluating data-driven applications, occupant sensing, and building analytics. This dataset can be an impetus for the researchers and designers to conduct experiments and pilot studies, hence used for benchmarking.
Original languageEnglish
Article number287
JournalScientific Data
Volume6
Number of pages11
ISSN2052-4463
DOIs
Publication statusPublished - 2019

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