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 …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

Human activity recognition is an important area of machine learning research as it has many
utilization in different areas such as sports training, security, entertainment, ambientassisted …

Alzheimer's is a chronic neurodegenerative disease that frequently occurs in many people
today. It has a major effect on the routine activities of affected people. Previous advancement …

Recent research have devoted significant efforts on the utilization of WiFi signals to
recognize various human activities. An individual's limb motions in the WiFi spectrum could …

The rapid growing of the population age in industrialized societies calls for advanced tools
to continuous monitor the activities of people. The goals of those tools are usually to support …

In the field of ubiquitous computing, machines need to be aware of the present context to
enable anticipatory communication with humans. This leads to human-centric applications …

Features were developed which accounted for the changing orientation of the inertial
measurement unit (IMU) relative to the body, and demonstrably improved the performance of …

Smartphones have pervasively integrated into our home and work environments managing
confidential information but their owners still rely on as explicit as inefficient and insecure …