The demand for wearable devices to measure respiratory activity is constantly growing,
finding applications in a wide range of scenarios (eg, clinical environments and workplaces …

The ever-growing computation and storage capability of mobile phones have given rise to
mobile-centric context recognition systems, which are able to sense and analyze the context …

Human activity recognition using mobile device sensors is an active area of research in
pervasive computing. In our work, we aim at implementing activity recognition approaches …

Sensor-based motion recognition integrates the emerging area of wearable sensors with
novel machine learning techniques to make sense of low-level sensor data and provide rich …

Reliable human activity recognition with wearable devices enables the development of
human-centric pervasive applications. We aim to develop a robust wearable-based activity …

How are social interaction dynamics associated with mental health during early stages of
adolescence? The goal of this study is to objectively measure social interactions and …

Human body motion analysis based on wearable inertial measurement units (IMUs)
receives a lot of attention from both the research community and the and industrial …

Human activity monitoring has become widely popular in recent years, and has been utilized
in a vast number of fields and applications. Most of the activity recognition algorithms …

This article explores how placement variations in user-carried electronic appliances
influence human action recognition and how such influence can be mitigated. The authors …

Activity recognition systems utilise data from sensors in mobile, environmental and wearable
devices, ubiquitously available to individuals. It is a growing research area within intelligent …