Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …

Research on sensor-based activity recognition has, recently, made significant progress and
is attracting growing attention in a number of disciplines and application domains. However …

Activity models play a critical role for activity recognition and assistance in ambient assisted
living. Existing approaches to activity modeling suffer from a number of problems, eg, cold …

The application of emerging technologies of Internet of Things (IoT) and cloud computing
have increasing the popularity of smart homes, along with which, large volumes of …

Semantic Web of Things is a new field combining Semantic Web and Internet of Things
technologies to be surrounded by smart objects and applications connected to the Web. On …

Recognising human activities from sensors embedded in an environment or worn on bodies
is an important and challenging research topic in pervasive computing. Existing work on …

Abstract Knowledge-driven activity recognition is an emerging and promising research area
which has already shown very interesting features and advantages. However, there are also …

A system which represents knowledge is normally referred to as a knowledge based system
(KBS). This article focuses on surveying publications related to knowledge base modelling …

In this paper we describe MetaQ, an ontology-based hybrid framework for activity
recognition in Ambient Assisted Living (AAL) environments that combines SPARQL queries …