Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Falls in older adults are a major cause of morbidity and mortality and are a key class of
preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection …

Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …

An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …

Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …

Fall detection is a very important challenge that affects both elderly people and the carers.
Improvements in fall detection would reduce the aid response time. This research focuses …

The increase in elderly population especially in the developed countries and the number of
elderly people living alone can result in increased healthcare costs which can cause a huge …