Vittorio Miori

Remote Control of Home Automation Systems with Mobile Devices

Remote control based on mobile devices as mobile phones or PDAs, is considered more and more useful in many computerised applications. This paper deals with the implementation of functions, based on mobile devices, for the remote control of commercial home automation systems. Different solutions are considered and some problems concerning their implementation are discussed. A preliminary development of the interface used to control X10 modules or to interrogate a home database of the device state is here described. Some guide-lines for the interface design are also reported.

Improving life quality for the elderly through the Social Internet of Things (SIoT)

The average age of the worlds population is increasing, and life expectancy will increase by an extra 10 years by the year 2050. The growing number of older adults increases the demands on public health systems and the related care costs. The use of information and communication technologies (ICT) to support integrated healthcare services in elderly homecare can make an important contribution to reducing such costs. The SOCIALIZE AAL project aims to create a new reference platform for the elderly by applying technological solutions to simplify their daily activities and the means by which they access dedicated services in order to improve their quality of life. This paper describes the Elderly Monitoring service — an IoT module of the SOCIALIZE platform, whose aim is to collect environmental and physical user data so that they can be supervised by medical and caregiver staffs.). The system has been designed to enable easy addition and/or substitution of new services and devices within the environment. To this end, the service implements a framework that enables heterogeneous devices belonging to different domotic systems and protocols to directly share data, thereby implementing an infrastructure suitable for the fulfillment of a real Social IoT (SIoT)

Preventing Health Emergencies in An Unobtrusive Way

The Ambient Intelligence (AmI) paradigm represents the vision of the next wave of computing. By relying on various computing and networking techniques, AmI systems have the potential to enhance our everyday lives in many different aspects. One area in which widespread application of this innovative paradigm promises particularly significant benefits is health care. The work presented here contributes to realizing such promise by proposing a functioning software application able to learn the behaviors and habits, and thereby anticipate the needs, of inhabitants living in a technological environment, such as a smart house or city. The result is a health care system that can actively contribute to anticipating, and thereby preventing, emergency situations to provide greater autonomy and safety to disabled or elderly occupants, especially in cases of critical illness.