Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …

Collecting and analyzing data from sensors embedded in the context of daily life has been
widely employed for the monitoring of mental health. Variations in parameters such as …

Our aging society claims for innovative tools to early detect symptoms of cognitive decline.
Several research efforts are being made to exploit sensorized smart-homes and artificial …

The increasing interconnections of city services, the explosion of available urban data, and
the need for multidisciplinary analysis and decision making for city sustainability require new …

Recognition of activities of daily living (ADLs) is an enabling technology for several
ubiquitous computing applications. In this field, most activity recognition systems rely on …

The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home
environments is an active research area, with relevant applications in healthcare and …

Activity Prediction is foreseeing the following activity people are going to execute. This is a
crucial task in smart home environments, ie, in order to facilitate the daily routines of elderly …

As the population in the Western world is rapidly aging, the remote monitoring solutions
integrated into the living environment of seniors have the potential to reduce the care burden …

IN 2007, US VICE PRESIDENT Dick Cheney ordered his doctors to disable all wireless
signals to and from his Internet-connected pacemaker. Cheney later said that the decision …

The unprecedented rise in the population of older adults and the number of seniors living
with and managing chronic conditions are straining our institutional health care systems …