The construction process is considered a very risky endeavor because of the high frequency
of work-related injuries and fatalities. The collection and analysis of safety data is an …

The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

Falls are a major cause of injuries and hospital admissions among elderly people. Thus, the
caregiving process and the quality of life of older adults can be improved by adopting …

The release of smart phones equipped with a rich set of sensors has enabled human activity
recognition on mobile platforms. Monitoring the daily activities and their levels helps in …

This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall
detection and prevention. Falls are considered as major health hazards for both the elderly …

This paper analyzes the performance of different classification methods for online activity
recognition on smart phones using the built-in accelerometers. First, we evaluate the …

mHealth (healthcare using mobile wireless technologies) has the potential to improve
healthcare and the quality of life for elderly and chronic patients. Many studies from all over …

Smartphone usage is increasing around the globe—in daily life and as a research device in
behavioral science. Smartphones offer the possibility to gather longitudinal data at little cost …

In the present paper, an attempt was made to achieve high-performance continuous human
activity recognition (CHAR) using deep neural networks. The present study focuses on …

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of
automatic fall detection mechanisms can noticeably reduce the response time of the medical …