AAL - Ambient Assisted Living at UNICAM

Joint Projects with

School of Science and Technology, Computer Science Division, UNICAM

School of Architecture and Design, Industrial Design, UNICAM

School Medicinal and Health Products, eHealth and Telemedicine, UNICAM

Main investigators:

Flavio Corradini, Emanuela Merelli Computer Science, University of Camerino

David Vitali, Physics, University of Camerino

Francesco Amenta, eHealth and Telemedicine, University of Camerino

Giuseppe Losco, Industrial Design, University of Camerino


UNICAM researcher efforts produced a solid cross-curricular group contributing to deliver knowledge and innovation in several complementary research lines and in sectors with higher future expansion. Consolidated competences on information and communications technologies (ICT), drug and health products, physics, architecture and design justify the current research efforts in UNICAM towards modern and innovative topics, such as Domotics, where it is preview a higher demand for advanced technologies in the years ahead. A solid theoretical knowledge enforces and complements the technological one. Ambient Assisted Living cross-curricular research in UNICAM includes the following topics:

  • Ambient Intelligent: intelligent micro/macro sensors at home, biosensors, RFIDs, wearable computing for health monitoring systems, embedded systems inside household appliance.
  • Self-adaptive systems: autonomic, aware, self-learning and self-adaptive systems able to gather knowledge and experience both from the environment and the user behaviour.
  • New materials and nanotechnologies: electro-mechanic devices and tools like nanocoatings, orthopedic footwear, implantable micro sensors, prosthesis, replacement devices, wheelchairs.
  • ICT solutions for governance, public services and policy modeling: advanced ICT tools for public services and policy modeling, prediction of impacts, development of new governance models and collaborative solving of complex societal problems. New methods of customer interaction or new types of value chains for independent living services and to improve the participation in social life.
  • Telehealth/Telecare/Remote assistance targeted to aged subjects. Telemedicine for remote diagnosis, biosensor for telemonitoring, physiological data mining for data analysis.
  • New housing units like robots: new active and reactive housing units for the disabled to improve autonomy, and mobility of blind or elderly people in their daily lives.

    The UNICAM research on Ambient Assisted Living is carried out within several laboratories located in Camerino and Ascoli Piceno, among which we mention CoSy Lab - The Laboratory of Complex Systems Modeling & Simulation and UEG -the Laboratory of eGovernment Innovative Solutions for PA.

    The eGovernment research group of UEG laboratory supports the Public Administration (PA) innovation and Government related processes. The group is involved in promoting the Information society and the application of ICT into the PAs. The research activity is carried out in collaboration with software houses, industrial companies, local PAs and private organizations having decennial experience within the PA domain.

    The formal methods research group of CoSy laboratory acquired a considerable experience in the area of modeling (analysis, design, functional and non-functional requirements verification, also formal by mathematical tools), developing and validation of software systems of high complexity (distributed, mobile, real-time, efficient, secure and embedded).

    The main objective of UNICAM is to become a national and international reference in research and development of the Ambient Intelligence Technologies, put into practice in the field of prevention, care and promotion of health and well-being of the citizens, support for the independent living and social inclusion, and in general the application of Ambient Intelligent paradigm to all services oriented to the citizens at all levels of the value chain: theoretical research, experimental research and proof of concepts, technological development, training and education at a university level, and the final technological transference to the society. Multidisciplinary projects in the above sense have been already (and successfully) proposed and coordinated by UNICAM ranging from smart home to patient care. Recently, UNICAM is taking into account the integration of smart and self-adaptive environments with the study and the development of personal health systems for remote management of diseases, treatment and rehabilitation, outside hospitals and care centres. The attention ranges from the use of self-adaptive, self-calibrating and energy-efficient modules - based on non-invasive and pervasive devices and coupled with intelligent (for instance semantics) platforms and Web Services - to automatic techniques for elaborating and analyzing the acquired data, in conjunction with established or newly created medical knowledge, for shared patient-doctor decision support systems. Also the participation of UNICAM to the Virtual Physiological Human Network of Excellence will support the study and experimentation of new computational paradigms for “Future ICT for a personalised, predictive and integrative remote control of life and health”. Also the development of patient guidance services for personalised management of health status is under consideration. This topic involves the semantic integration of patient health data into a Electronic Health Record (EHR) system, that is ubiquitously and securely accessible by patients and their physicians and includes an environment for their cooperation. Both objectives can naturally stress competences on Web Services, pervasive computing and semantic knowledge management, which have been already (and successfully) exploited in previous UNICAM projects.




    School of Computer Science, Artificial intelligent and Virtual Environment Lab., Reykjavik Universty

    Hannes Hogni Vilhjalmsson CADIA, Reykjavik University

    Faculty of Informatics, Software Engineering Lab., University of Lugano

    Mauro Pezze', Software Engineering Lab., University of Lugano

    Department of Computer Science, Stony Brook, State University of New York

    Scott Smolka, Radu Grosu, Ezio Bartoci Computer Science, Stony Brook University