Project publication · Sensors
Summary
The article estimates occupancy in a university library using anonymized WiFi data and machine-learning techniques.
Main contribution
The proposal shows that connectivity traces can become a useful signal for estimating people presence while preserving privacy. The approach combines low cost, already available data and models able to capture patterns in how spaces are used.
Resultados y alcance
Los modelos entrenados con datos WiFi anónimos reproducen la ocupación de la biblioteca con precisión suficiente para apoyar la gestión de espacios. El estudio muestra que la calidad depende de la calibración con aforos reales, de los patrones de uso y de cambios tecnológicos que alteren la visibilidad de los dispositivos.
Link with BoND1
BoND1 studies IoT connectivity as a source of operational information, not only as a communication channel. This publication connects with that vision by using network data to obtain contextual knowledge in smart environments.
Project publication · Sensors
Summary
The article estimates the occupancy of a university library using anonymized WiFi data and machine learning techniques.
Bibliometric indicators
- JCR area
- Instruments & Instrumentation
- JCR year
- 2025
- Scholar query
- 26 October 2026
Main contribution
The proposal demonstrates that connectivity traces can become a useful signal to estimate the presence of people while preserving privacy. The approach combines low cost, already available data and models capable of capturing space use patterns.
Results and scope
Models trained with anonymized WiFi data reproduce library occupancy with sufficient accuracy to support space management. The study shows that quality depends on calibration with real capacities, usage patterns and technological changes that alter the visibility of the devices.
Link with BoND1
BoND1 studies IoT connectivity as a source of operational information, not only as a communication channel. This post connects with that vision by using network data to gain contextual knowledge in smart environments.