The experience described in this article demonstrated that AAL technologies are feasible and effective nowadays and can be actively used in assisting patients with AD in their homes. The extensive involvement of caregivers in the experimentation allowed to assess that there is, through the use of the technological system, a proven improvement in care performance and efficiency of care provision by both formal and informal caregivers and consequently an increase in the quality of life of patients, their relatives, and their caregivers.

This paper shows the general concept and the primary implementation of a pervasive intelligent system for rehabilitation. The scope of this work is to highlight the possibility to join two important research fields, i.e. rehabilitation and ambient assisted living, to enhance the capabilities and independence of disable and aged people. The described system was composed of a ZigBee network, with coordinator, sensor and actuator nodes, able to identify and control patient's activities and send warning to caregiver if requests in warning functionality, and of a software interface to manage the whole network and to monitor patient in outdoor environment

Toward a smart home solution for domiciliary assistance in Alzheimer's diseases Abstract body (350 word limit) should include: Background: The number of people with Alzheimer in the European Union is estimated to be 5.8 million and is expected to double or treble by 2050. Alzheimer's patients should be constantly assisted or at home by caregivers or in nursing home by skilled workers. Some studies showed that a specific domiciliary care of Alzheimer's patients in initial stages of the syndrome can slow down the course of the illness. However, because of the complexity of this disease, these persons are early institutionalized in nursing home with negative consequences for patients themselves and welfare costs (nursing home costs three time the domiciliary one). In order to increase quality and time of domiciliary cares, innovative technologies, integrated in patients' domestic environments, and assistance to caregivers are crucial to perform a sterling service. The present study shows a smart domestic sensors network to help caregivers in patient monitoring and avoiding unsafe events.