Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Providing accurate and opportune information on people's activities and behaviors is one of
the most important tasks in pervasive computing. Innumerable applications can be …

Abstract The Internet of Things (IoT) provides smart solutions for future urban communities to
address key benefits with the least human intercession. A smart home offers the necessary …

Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …

Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …

Smart phones have become a powerful platform for wearable context recognition. We
present a service-based recognition architecture which creates an evolving classification …

The incessant diffusion of smart wearable devices and Body Area Networks (BANs) systems
is pushing more and more researches on human activity recognition. Previous studies …

Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …

Abstract Autism Spectrum Disorders are associated with atypical movements, of which
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …

Recognition of the mode of motion or mode of transit of the user or platform carrying a device
is needed in portable navigation, as well as other technological domains. An extensive …