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
RESEARCH@UNICAM PROJECTS@UNICAM TEACHING@UNICAM SPIN-OFF@UNICAM EXTERNAL COLLABORATIONS
RESEARCH@UNICAM
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).
PROJECTS@UNICAM
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.
TEACHING@UNICAM
SPIN OFF@UNICAM
EXTERNAL COLLABORATIONS
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