Active and Assisted Living Environments for Ageing Well


Casaccia Sara Casaccia

Sara Casaccia

Università Politecnica delle Marche, Italy

Revel Gian Marco Revel

Gian Marco Revel

Università Politecnica delle Marche, Italy

Morresi Nicole Morresi

Nicole Morresi

Università Politecnica delle Marche, Italy


Living environments must be the place that help aging people to be independent, active and healthy. For this reason, living environments need to be age-friendly to guarantee an healthy life-style to all citizens, social interactions and capacity to participate to community life. In this context, Active and Assisted Living (AAL) technologies have a huge impact in providing age-friendly environments that support independent living and improve life-quality of aging people. This special session is focused on technologies, methodologies and future perspective of AAL environments with a strong focus on new sensors and applications, including robotics, wearables, m-health systems, Artificial Intelligence, etc. Contributes that describe the development of AAL systems including metrology aspects, e.g. measurement uncertainty, sensors’ accuracy, etc., are well appreciated in order to provide examples of systems that implement different functionalities, for different target users, and in different possible environments.


Topics of interest include but are not restricted to:

  • Non-invasive sensors for ageing people;
  • Innovative sensor network for living environments;
  • Sensor network optimization;
  • New services to improve life of ageing people and their caregivers;
  • Social robotics and virtual coaches;
  • Data analysis techniques, e.g. AI learning methods, to measure well-being, activity, health status, etc. of ageing people;
  • Measurement of activity in indoor and outdoor environments;
  • Measurement of uncertainty in the field of AAL.


Sara Casaccia, is Assistant Professor in Mechanical and Thermal Measurement at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Università Politecnica delle Marche (UNIVPM). Her research is focused on measurement techniques and sensing systems for supporting people in living environments (e.g. comfort, wellbeing), data processing to extract complex information (e.g. using AI), sensors for health and Active and Assisted Living applications, buildings, industrial applications and non-destructive techniques.

Gian Marco Revel, is Full Professor in Mechanical and Thermal Measurement at Università Politecnica delle Marche, where he is Rector Delegate for European Research. He received the Ph.D. degree in mechanical measurements from Università degli Studi di Padova in 1998. His research focuses on sensors and measurement technologies for buildings, health and industrial applications, with a particular focus on comfort and human behaviour and diagnostics.

Nicole Morresi, PhD in Mechanical and Thermal Measurements from Università Politecnica delle Marche, is Research Fellow at Università Politecnica delle Marche. Her research focuses on the development of sensor networks and measurement techniques for supporting people in the built environment (e.g. IEQ, comfort and wellbeing), data analysis of heterogeneous datasets using AI-based techniques, and sensors for buildings and infrastructures, health and industrial application.