Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

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

With the development of artificial intelligence and the broad application of sensors, human
activity recognition (HAR) technologies based on noninvasive environmental sensors have …

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 …

The widespread presence of motion sensors on users' personal mobile devices has
spawned a growing research interest in human activity recognition (HAR). However, when …

The digital world is generating data at a staggering and still increasing rate. While these “big
data” have unlocked novel opportunities to understand public health, they hold still greater …

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 …

Rapid development in sensor technology, has led to fabrication of high-performance
wearable sensors with application in human health monitoring. As human health is an …