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 …

The last 20 years have seen ever-increasing research activity in the field of human activity
recognition. With activity recognition having considerably matured, so has the number of …

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 …

Upon publication almost 15 years ago, the first edition almost instantly became a trusted
reference, setting the stage for the coming decade, in which the explosion in research and …

Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

Accurate activity recognition enables the development of a variety of ubiquitous computing
applications, such as context-aware systems, lifelogging, and personal health systems …

For more than two decades, capacitive sensing has played a prominent role in human-
computer interaction research. Capacitive sensing has become ubiquitous on mobile …

The sliding window technique is widely used to segment inertial sensor signals, ie,
accelerometers and gyroscopes, for activity recognition. In this technique, the sensor signals …

A correct balance of nutrient intake is very important, particularly in infants. When the body is
deprived of essential nutrients, it can lead to serious disease and organ deterioration which …

Wearable devices monitoring food intake through passive sensing is slowly emerging to
complement self-reporting of users' caloric intake and eating behaviors. Though the ultimate …