Living Lab for activity and well-being monitoring

Description

The Living Lab carries out research activities focused on the non-invasive monitoring of well-being in multi-resident living environments. The laboratory is characterized by the integration of reference sensors and innovative sensors for the detection of activities, behaviors, and environmental comfort parameters.
The Living Lab serves as an experimental environment for the development, testing, and validation of new technologies. The goal is to support reliable and scalable solutions for healthy and independent aging in shared living contexts.

Publications
  • Casaccia, S., Naccarelli, R., Moccia, S., Migliorelli, L., Frontoni, E., & Revel, G. M. (2021). Development of a measurement setup to detect the level of physical activity and social distancing of ageing people in a social garden during COVID-19 pandemic. Measurement, 184, 109946. https://doi.org/10.1016/j.measurement.2021.109946
  • Naccarelli, R., Casaccia, S., & Revel, G. M. (2022). The problem of monitoring activities of older people in multi-resident scenarios: an innovative and non-invasive measurement system based on wearables and PIR sensors. Sensors, 22(9), 3472. https://doi.org/10.3390/s22093472
  • Ciuffreda, I., Battista, G., Casaccia, S., & Revel, G. M. (2023). People detection measurement setup based on a DOA approach implemented on a sensorised social robot. Measurement: Sensors, 25, 100649. https://doi.org/10.1016/j.measen.2022.100649
  • Ciuffreda, I., Casaccia, S., & Revel, G. M. (2023). A multi-sensor fusion approach based on pir and ultrasonic sensors installed on a robot to localise people in indoor environments. Sensors, 23(15), 6963. https://doi.org/10.3390/s23156963
  • Ciuffreda, I., Cosoli, G., Arnesano, M., Revel, G. M., & Casaccia, S. (2025). Development of a non-invasive ultrasonic sensor network for the measurement of human activities in indoor environment using multi-stage classification process. Acta IMEKO, 14(2), 1-11. https://doi.org/10.21014/actaimeko.v14i2.2061
Staff

Prof. Gian Marco Revel
Tel. +39 071 220 4518
email: gm.revel@staff.univpm.it

Prof.ssa Sara Casaccia
Tel. +39 071 220 4273
email: s.casaccia@staff.univpm.it