Due to the serious problem of the world's aging population and the harm caused by
unintentional falls to elderly individuals, the question of how to precisely identify falls has …

Requests for caring for and monitoring the health and safety of older adults are increasing
nowadays and form a topic of great social interest. One of the issues that lead to serious …

Abstract Background and Objective: Fall detection is an important problem for vulnerable
sectors of the population such as elderly people, who frequently live alone. Note that a fall …

Human falls, especially for elderly people, can cause serious injuries that might lead to
permanent disability. Approximately 20–30% of the aged people in the United States who …

Human activity monitoring and recognition systems assist experts in evaluating various
health problems including obesity, cardiac diseases and, sports injury detection. However …

Context: There has been a delay in the exploration of the benefits of deep learning for
human action and activity recognition applications. Within these fields, the detection of falls …

A fall of an elderly person often leads to serious injuries or even death. Many falls occur in
the home environment and remain unrecognized. Therefore, a reliable fall detection is …

Fall detection and physical activity (PA) classification are important health maintenance
issues for the elderly and people with mobility dysfunctions. The literature review showed …

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Falls are a major cause of unintended injuries and death worldwide. Fall detection has
received considerable attention in wrist-wearable devices such as smartwatches and bands …