Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …

Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …

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 …

This paper aims to explore the most important disruptive technologies in the development of
the smart city. Every smart city is a dynamic and complex system that attracts an increasing …

Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

With the rapid growth in healthcare demand, an emergent, novel technology called wireless
body area networks (WBANs) have become promising and have been widely used in the …

The eHealth sector has witnessed significant growth due to technological advancements,
facilitating care delivery in patients' homes and moving away from traditional hospital …

In recent years, connected home healthcare, which involves multiple technologies such as
wearable sensors, audio and video technology, and pervasive computing, has drawn …