This paper surveys the current research directions of activity recognition using inertial
sensors, with potential application in healthcare, wellbeing and sports. The analysis of …

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 …

Abstract Cheung VH, Gray L, Karunanithi M. Review of accelerometry for determining daily
activity among elderly patients. Objectives To review studies that used accelerometers to …

Human activity recognition (HAR), using wearable sensors, is a growing area with the
potential to provide valuable information on patient mobility to rehabilitation specialists …

A robust method for identifying movement in the free-living environment is needed to
objectively measure physical activity. The purpose of this study was to validate the …

Monitoring workers' safety compliance is critical to the construction accident prevention.
However, current practices mainly rely on the safety mangers' manual observation. To …

Human activity recognition is concerned with detecting different types of human movements
and actions using data gathered from various types of sensors. Deep learning approaches …

Automatic human activity recognition systems aim to capture the state of the user and its
environment by exploiting heterogeneous sensors attached to the subject's body and permit …

This paper focuses on the development of an upper limb rehabilitation training system
designed for use by children with cerebral palsy (CP). It attempts to meet the requirements of …

The heart rate (HR) is a widely used clinical variable that provides important information on
a physical user's state. One of the most commonly used methods for ambulatory HR …