Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries
among the elderly people. Fall detection and rescue systems with the advancement of …

To ensure healthy lives and promoting well-being for all in the society at all ages is one of
the goals of United Nations. Specially, health of elderly people plays an important factor in …

The existing deep learning methods for human fall detection have difficulties to distinguish
falls from similar daily activities such as lying down because of not using the 3D network …

This paper defines two major data sets 1) from wearable inertial measurement sensors and
2) wearable ECG SHIMMER™ sensors. The first dataset is devised to benchmark …

Fall detection is a vital task in health monitoring, as it allows the system to trigger an alert
and therefore enable faster interventions when a person experiences a fall. Although most …

Human fall detection is a research area that aims to develop methods and systems that can
automatically detect and recognize falls, especially among elderly people or people with …

Ensuring the safety of residents and visitors is one of the major priorities of the Kingdom of
Saudi Arabia (KSA). There are some residents in Madinah who are vulnerable or prone to …

Researchers from all across the world are interested in human fall detection and activity
recognition. Fall detection is an exciting topic that may be tackled in several ways. Several …

Privacy and false fall detection pose a significant challenge within the current camera-based
human activity monitoring research. In response, we propose a solution that leverages the …

With the rapid growth and commercialization of wearable sensor technology, the research
community foresees great potential of Body Area Sensor Network (BASN) applications in the …