This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen
circumstances might occur that affect their well-being. Technologies that assist the elderly in …

We propose a supervised approach to detect falls in a home environment using an
optimized descriptor adapted to real-time tasks. We introduce a realistic dataset of 222 …

We propose an automatic approach to detect falls in home environment. A Support Vector
Machine based classifier is fed by a set of selected features extracted from human body …

Falls, which are increasing at an unprecedented rate in the global elderly population, are
associated with a multitude of needs such as healthcare, medical, caregiver, and economic …

One of the main problems in the elderly population and for people with functional disabilities
is falling when they are not supervised. Therefore, there is a need for monitoring systems …

In recent years, real-time health monitoring using wearable sensors has been an active area
of research. This paper presents an efficient and low-cost fall detection system based on a …

Human fall due to an accident can cause heavy injuries which may lead to a major medical
issue for elderly people. With the introduction of new advanced technologies in the …

Several new algorithms for camera-based fall detection have been proposed, with the aim of
reliably alerting caregivers about older persons' falls at home. These algorithms have been …

Several new algorithms for camera-based fall detection have been proposed in the literature
recently, with the aim to monitor older people at home so nurses or family members can be …