Falls have long been one of the most serious threats to elderly people's health. Detecting
falls in real-time can reduce the time the elderly remains on the floor after a fall, hence …

Falls are a leading cause of unintentional trauma-related deaths worldwide, and a
significant contributor to elderly dependence. To address this, the goal of this project was to …

In an aging global society, a few complex problems have been occurring due to falls among
the increasing elderly population. Therefore, falls are detected using a pendant-type sensor …

The statistical data from the National Council on Aging indicates that a senior adult dies in
the US from a fall every 19 minutes. The care of elderly people can be improved by enabling …

In this article, we presented a multimodal approach to monitor older adults' activities of daily
living (ADLs) using the combination of a wearable device and a companion robot. A …

A fall detection module is an important component of community-based care for the elderly
to reduce their health risk. It requires the accuracy of detections as well as maintains energy …

The pace of society development is faster than ever before, and the smart city paradigm has
also emerged, which aims to enable citizens to live in more sustainable cities that guarantee …

Health telemonitoring systems are constrained by the computational and data transmission
load resulting from the large volumes of various measured signals, eg in the fall detection …

There is a broad consensus that stroke rehabilitation interventions within the first 3–6
months after stroke can result in maximizing post-stroke recovery. However, in middle-and …

Falling is a major challenge faced by elderly and disabled people who live alone. They
therefore need reliable surveillance so they can be assisted in the event of a fall. An effective …