Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

Wearable Inertial sensors have revolutionised the way kinematics analysis is performed in
sports. This paper aims to present a comprehensive review of the literature related to the use …

Context The mental health benefits of physical activity are well established. However, less is
known about whether the relationship between physical activity and mental health is …

Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

The links between increased participation in Physical Activity (PA) and improvements in
health are well established. As this body of evidence has grown, so too has the search for …

As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a
new research topic in many academic and industrial disciplines, especially in healthcare …

This paper presents a review of different classification techniques used to recognize human
activities from wearable inertial sensor data. Three inertial sensor units were used in this …

An increase in world population along with a significant aging portion is forcing rapid rises in
healthcare costs. The healthcare system is going through a transformation in which …

The increasing popularity of wearable devices in recent years means that a diverse range of
physiological and functional data can now be captured continuously for applications in …