Emergency situations associated with falls are a serious concern for an aging society. Yet
following the recent development within ICT, a significant number of solutions have been …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

The goal of a fall detection system is to automatically detect cases where a human falls and
may have been injured. We propose a statistical method based on Kinect depth cameras …

Falls are one of the major risks for seniors living alone at home. Fall detection has been
widely studied in the computer vision community, especially since the advent of affordable …

Falling is one of the main causes of trauma, disability, and death among older people.
Inertial sensors‐based devices are able to detect falls in controlled environments. Often this …

In this paper a novel multi-modal flame and smoke detector is proposed for the detection of
fire in large open spaces such as car parks. The flame detector is based on the visual and …

Humanfall detection has attracted broad attentions as sensors and mobile devices are
increasingly adopted in real-life scenarios such as smart homes. The complexity of activities …

Fall incidents among the elderly often occur in the home and can cause serious injuries
affecting their independent living. This paper presents an approach where data from …

This paper describes a novel system for detecting and classifying human activities based on
a multi-sensor approach. The aim of this research is to create a loosely structured …

As the baby boom generation ages towards retirement we are set to see a change in
population demographics, this change will put increased pressure on the healthcare system …