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A Machine Learning Approach for Estimating Person Counts Using Anonymous WiFi Data in a University Library

2025-09-26

Abstract excerpt

Accurately estimating indoor occupancy is essential for managing building spaces and infrastructure, with applications ranging from ensuring safe distancing and adequate ventilation during health crises to optimizing energy use and resource allocation. Howev-er, no existing technology simultaneously provides accurate, low-cost, and priva-cy-preserving indoor occupancy measurement. This work explores the use of exi...

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Identifiers and source

Literature Corpus work
aef65f22-2482-5094-8a06-c6c7c866f14d
DOI
10.20944/preprints202509.2215.v1
Open publication

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A Machine Learning Approach for Estimating Person Counts Using Anonymous WiFi Data in a University LibraryDOI 10.20944/preprints202509.2215.v1
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