Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

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

The delivery of healthcare services has experienced tremendous changes during the last
years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution …

The study of natural and human-made processes often results in long sequences of
temporally-ordered values, aka time series (TS). Such processes often consist of multiple …

The education industry around the globe is undergoing major transformations.
Organizations, such as Coursera are advancing new business models for education. A …

Hip‐worn accelerometers are widely used to estimate physical activity (PA), but the accuracy
of acceleration threshold‐based analysis is compromised when it comes to identifying …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

Optimizations in logistics require recognition and analysis of human activities. The potential
of sensor-based human activity recognition (HAR) in logistics is not yet well explored …

Body sensor networks (BSN) have emerged as an active field of research to connect and
operate sensors within, on or at close proximity to the human body. BSN have unique roles …

In this paper, we propose a novel method for pedestrian dead reckoning (PDR) using
microelectromechanical system magnetic, angular rate, and gravity sensors, which includes …