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Room Occupancy Estimation with Seven Wireless Sensor Nodes

Smart Home & Buildings Smart Home & Buildings
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10,129 rows · 19 columns
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Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"10,129 observations with 19 columns, including four sound channels and an occupancy target, from a seven-node indoor sensing installation."

Catalog Notes

Overview

The dataset uses seven wireless sensor nodes to estimate room occupancy from temperature, light, sound, CO₂ and PIR signals. The target Room_Occupancy_Count ranges from zero to three.

Measured structure

The CSV has 10,129 data rows and 19 columns: Date, Time, four temperature channels, four light channels, four sound channels, CO₂, CO₂ slope, two PIR channels and the occupancy target. Thus 18 input fields include the two date/time fields; they are not 18 separate physical sensor channels. No empty cells were found.

Timing

The source describes approximately 30-second sampling. Although its collection narrative refers to four days, the released CSV contains seven distinct calendar dates: 22–26 December 2017 and 10–11 January 2018. Do not describe this file as four consecutive days. The citation uses the publisher’s 2018 citation year; the later UCI donation date is 2023.

Source and provenance

Dataset DOI: https://doi.org/10.24432/C5P605.

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on UCI Machine Learning Repository.

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Cite This Dataset

Singh, A. P., & Chaudhari, S. (2018). Room Occupancy Estimation [Data set]. UCI Machine Learning Repository. https://doi.org/10.24432/C5P605

Source metadata: UCI Machine Learning Repository (2018) · DOI: 10.24432/C5P605

Indexed by IoTDataset.com on Sep 14, 2026

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