A High-Fidelity Residential Building Occupancy Detection Dataset: Article No. 280

Margarite Jacoby, Sin Tan, Gregor Henze, Soumik Sarkar

Research output: Contribution to journalArticlepeer-review

14 Scopus Citations


This paper describes development of a data acquisition system used to capture a range of occupancy related modalities from single-family residences, along with the dataset that was generated. The publicly available dataset includes: grayscale images at 32-by-32 pixels, captured every second; audio files, which have undergone processing to remove personally identifiable information; indoor environmental readings, captured every ten seconds; and ground truth binary occupancy status. The data acquisition system, coined the mobile human presence detection (HPDmobile) system, was deployed in six homes for a minimum duration of one month each, and captured all modalities from at least four different locations concurrently inside each home. The environmental modalities are available as captured, but to preserve the privacy and identity of the occupants, images were downsized and audio files went through a series of processing steps, as described in this paper. This dataset adds to a very small body of existing data, with applications to energy efficiency and indoor environmental quality.
Original languageAmerican English
Number of pages14
JournalScientific Data
StatePublished - 2021

NREL Publication Number

  • NREL/JA-5500-81501


  • databases
  • energy conservation
  • energy efficiency
  • energy supply and demand
  • mechanical engineering


Dive into the research topics of 'A High-Fidelity Residential Building Occupancy Detection Dataset: Article No. 280'. Together they form a unique fingerprint.

Cite this