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 …

During last decade, smart homes in which the activities of the residents are monitored
automatically have been developed and demonstrated. However, smart homes with multiple …

Usually, approaches driven by data proposed in literature for sensor-based activity
recognition use the begin label and the end label of each activity in the dataset, fixing a …

Multiresident activity recognition (AR), which has become a popular research field in smart
environments, aims to recognize the activities of multiple residents based on data collected …

Feature construction and selection are two key factors in the field of machine learning (ML).
Usually, these are very time-consuming and complex tasks because the features have to be …

In this paper, we propose a new recommendation system that considers the changing
human mental state, behavior and environmental contexts to provide guidance to persons …

Continuous authentication was introduced to propose novel mechanisms to validate users'
identity and address the problems and limitations exposed by traditional techniques …

Older adults with early‐stage dementia (ED) can experience confusion or lack clarity when
performing routine activities of daily living (ADLs). These circumstances predispose the …

In this paper issues surrounding the collection, annotation, management and sharing of data
gathered from pervasive health systems are presented. The overarching motivation for this …

The miniaturization and price reduction of sensors have encouraged the proliferation of
smart environments, in which multitudinous sensors detect and describe the activities …