Defines the notion of an activity model learned from sensor data and presents key
algorithms that form the core of the field Activity Learning: Discovering, Recognizing and …

Smart environments offer valuable technologies for activity monitoring and health
assessment. Here, we describe an integration of robots into smart environments to provide …

One of the many services that intelligent systems can provide is the ability to analyze the
impact of different medical conditions on daily behavior. In this study, we use smart home …

Activity recognition is a key component of context-aware computing to support people's
physical activity, but conventional approaches often lack in their generalizability and …

Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts
of sensing data. However, there are significant challenges in converting this large-scale …

Smart environment technology has matured to the point where it is regularly used in
everyday homes as well as research labs. With this maturation of the technology, we can …

Personalization of activity recognition has become a topic of interest recently. This paper
presents a novel concept, using a set of classifiers as general model, and retraining only the …

In recent years, an increasing number of people have become concerned about their health.
Most chronic diseases are related to lifestyle, and daily activity records can be used as an …

In the era of digital transformation, the Internet of Things (IoT) is emerging with improved
data collection methods, advanced data processing mechanisms, enhanced analytic …

While activity recognition has been shown to be valuable for pervasive computing
applications, less work has focused on techniques for forecasting the future occurrence of …