Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

Assisted living facilities cater to the demands of the elderly population, providing assistance
and support with day-to-day activities. Fall detection is fundamental to ensuring their well …

Gait recognition is a significant biometric technique for person identification, particularly in
scenarios where other physiological biometrics are impractical or ineffective. In this paper …

Objective To explore a comprehensive overview of digital technologies used for fall
detection in older adults, categorizing the types, functions, and usability of these systems …

Fall detection systems are vital for identifying falls and ensuring prompt assistance, reducing
the risk of severe injuries. As society progresses and health concerns gain more attention …

Falls are a major risk factor for older adults, increasing morbidity and healthcare costs. Video-
based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their …

The integration of the Internet of Things (IoT) and artificial intelligence (AI) is critical to the
advancement of ambient intelligence (AmI), as it enables systems to understand contextual …

Robust wireless communication using relaying system and Non-Orthogonal Multiple Access
(NOMA) will be extensively used for future IoT applications. In this paper, we consider a fall …

Elderly individuals and patients with neurodegenerative diseases often face problems with
balance, making them susceptible to falls. Monitoring postural sway is crucial to prevent falls …

The trend of creating and deploying intelligent transportation systems within the context of
the Internet of Vehicles (IoV) concept is gaining traction and attracting interest from both …