Special Session 10

SPECIAL SESSION #10

Measurement systems for healthy aging population

Sara Casaccia

Polytechnic University of Marche, Italy

• s.casaccia@staff.univpm.it

Gian Marco Revel

Polytechnic University of Marche, Italy

• gm.revel@staff.univpm.it

Nicole Morresi

Polytechnic University of Marche, Italy

• n.morresi@pm.univpm.it

Ilaria Ciuffreda

Polytechnic University of Marche, Italy

• i.ciuffreda@staff.univpm.it

Measurement systems play a crucial role in supporting older individuals to maintain independence, stay active, and preserve their health. As people age, the need for innovative solutions to assist with daily activities, healthcare, and social participation becomes increasingly important. Active and Assisted Living (AAL) technologies are key in addressing these needs, offering tools that help improve the quality of life for elderly individuals. This special session focuses on the latest advancements in AAL technologies, including new sensors and applications such as robotics, wearables, m-health systems, fall detection, VR/AR, Artificial Intelligence, and more. Contributions that explore the development of AAL systems, particularly those addressing metrological aspects like measurement uncertainty and sensor accuracy, are highly encouraged, as they provide valuable insights into the implementation of diverse functionalities for different users and settings.

Submissions are welcomed on (but not limited to):

• sensors and sensor network to monitor health and behavior parameters;
• technologies for aging population;
• artificial intelligence algorithms;
• age-friendly environment;
• application to improve quality of life;
• robotics;
• wearable and non-contact measurements;
• measurement systems for dementia and mild cognitive impairment;
• applications for vulnerable populations.

Sara Casaccia is an Assistant Professor at the Department of Industrial Engineering and Mathematical Sciences (DIISM) of Università Politecnica delle Marche (UNIVPM). Her research focuses on sensors and measurement techniques for supporting people in life environments (e.g. comfort, wellbeing), data processing to extract complex information (e.g. using AI), sensors for health, buildings and industrial applications.

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.

Ilaria Ciuffreda PhD in Mechanical and Thermal Measurement from Università Politecnica delle Marche, she is a Research Fellow at the same university. Her research interests focus on non-invasive (not wearables) sensor networks for supporting people in the built environment (e.g. robots), sensors for buildings, infrastructures and industrial application, characterization of building materials, and data analysis and signal processing using AI-based techniques.