The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …

Physical activity monitoring has recently become an important field in wearable computing
research. However, there is a lack of a commonly used, standard dataset and established …

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 …

Human activity recognition can be exploited to benefit ubiquitous applications using
sensors. Current research on sensor-based activity recognition is mainly using data-driven …

We propose a sparse-coding framework for activity recognition in ubiquitous and mobile
computing that alleviates two fundamental problems of current supervised learning …

A major challenge of ubiquitous computing resides in the acquisition and modelling of rich
and heterogeneous context data, among which, ongoing human activities at different …

Recently, the recent advancement of deep learning with the capacity to perform automatic
high-level feature extraction has achieved promising performance for sensor-based human …

Human activity recognition is a thriving research field. There are lots of studies in different
sub-areas of activity recognition proposing different methods. However, unlike other …

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 …