A multimodal dataset for environmental occupancy detection
Guilherme Dall’Agnol Deconto, Avelino Francisco Zorzo, Roben Castagna Lunardi, Rafael C. Cardoso, Leonardo dos Santos Teixeira · 2026
Read A multimodal dataset for environmental occupancy detection by Guilherme Dall’Agnol Deconto, Avelino Francisco Zorzo, Roben Castagna Lunardi, Rafael C. Cardoso, Leonardo dos Santos Teixeira (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13273882.txt.
Description
Guilherme Dall'Agnol Deconto and co-authors released a multimodal dataset for detecting room occupancy in a 2026 data article. Smart buildings save energy when they know how many people are present, and many sensor types might carry that signal. Their data come from a real university workspace in Brazil.
Sensors logged carbon dioxide, temperature, humidity, light, and sound every few seconds, alongside power, voltage, and current from smart sockets and switches. A custom built node and commercial devices fed one shared timeline. The key label, the true number of occupants, began as camera based counts from a detection model and was then checked by hand against every image. The public set includes raw readings, device logs, and full setup documents for energy and anomaly research.
Catalog record
| CREATOR | Guilherme Dall’Agnol Deconto, Avelino Francisco Zorzo, Roben Castagna Lunardi, Rafael C. Cardoso, Leonardo dos Santos Teixeira |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 21 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |