Published June 11, 2024 | Version v2
Dataset Open

Data and Sourcecode from: Neural Network-based Occupancy Detection on the Edge

Authors/Creators

  • 1. DiLT Analytics
  • 2. ROR icon Graz University of Technology

Description

Environmental Data Collected for Data-Driven Occupancy Detection

Version Information

v1.0: Holds repository alongside the dataset inside
v2.0: Holds dataset in a seperate zip folder

Dataset Information

The following data is collected from LoRa sensors of two rooms for a period of three months in an office building on the ground floor in Graz, Austria:
  • Open status of windows/doors
  • Relative humidity
  • CO2 concentration
  • Ambient temperature
  • PIR-based motion counter
  • Light level
  • IR-based occupancy (only room A)
  • Average/peak sound level
  • Radar-based people counter (left-to-right and right-to-left; only room A; no trustworthy ground truth!)
 
Folder Organization in occupancy-detection-dataset.zip

    ├── data
    │   ├── interim       <- Intermediate data of room A and B that has been transformed.
    │   └── raw            <- The original, immutable sensor data dump of room A and B.


Raw Data
Raw sensor data of room A and B consisting of six and two work places respectively. Data is gathered in an interval of five minutes.

Note:
  • Timezone ist UTC+00:00.
  • Column "occupancy" in df_features.csv refers to IR based occupancy sensor from Elsys ERS Eye (Possible values 0-2).
  • Column "motion" in df_features.csv refers to a PIR based motion counter.
  • IR-based occupancy is not measured in room B.

Intermediate Data
Event-based (door and window sensors) and interval based (humidity, CO2, temperature, ....) data is synchronized to retrieve a homogenous data set.
Window columns are merged to represent the number of open windows. Nothing else was applied to the data.

Ground Truth
Image-based occupancy ground truth data is separated in a file (df_occ.csv).
It describes the number of occupants at a certain time stamp provided from images (manually labelled).

References

Coming soon.

Files

occupancy-detection-dataset.zip

Files (787.3 kB)

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md5:58c8fc3cac8723c7fa1a7e1e61e86a40
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Additional details

Dates

Collected
2023
September until December

Software

Programming language
Python