Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Ambient Intelligence (AmI) is the application and embedding of artificial intelligence into
everyday environments to seamlessly provide assistive and predictive support in a multitude …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

With the improvement of people's living standards, the demand for health monitoring and
exercise detection is increasing. It is of great significance to study human activity recognition …

This paper presents two contributions to the field of Ontology Evaluation. First, a live
catalogue of pitfalls that extends previous works on modeling errors with new pitfalls …

This paper presents an overview of the state of the art of three different fields with the shared
characteristics of making use of a network of sensors, with the possible application of …

Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

With the development of Internet of Things (IoT), more and more sensors, actuators and
mobile devices have been deployed into our daily lives. The result is that tremendous data …

Human activity recognition (HAR) from sensor readings has proved to be an effective
approach in pervasive computing for smart healthcare. Recent approaches in ambient …

We propose a fuzzy ontology for human activity representation, which allows us to model
and reason about vague, incomplete, and uncertain knowledge. Some relevant subdomains …