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
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
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:
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 TEACHING@UNICAM SPIN OFF@UNICAM EXTERNAL COLLABORATIONS
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