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 …

Background Innovations in mobile and electronic healthcare are revolutionizing the
involvement of both doctors and patients in the modern healthcare system by extending the …

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

Signal segmentation is a crucial stage in the activity recognition process; however, this has
been rarely and vaguely characterized so far. Windowing approaches are normally used for …

Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

Characteristics of physical activity are indicative of one's mobility level, latent chronic
diseases and aging process. Accelerometers have been widely accepted as useful and …

Introduction: The present review aims to provide an overview of the most common uses of
wearable inertial sensors in the field of clinical human movement analysis. Areas covered …

This article describes an investigation to determine the optimal placement of accelerometers
for the purpose of detecting a range of everyday activities. The paper investigates the effect …