Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …

Due to the increase in the global aging population and its associated age-related
challenges, various cognitive, physical, and social problems can arise in older adults, such …

Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …

The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast
health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many …

The digitalisation of geriatric care refers to the use of emerging technologies to manage and
provide person-centered care to the elderly by collecting patients' data electronically and …

As a result of the fast spread of Coronavirus disease (COVID-19) throughout the world, it
became urgent to evolve an aided-intelligent system to help healthcare organizations to …

A" smart home" is one in which conveniences like remote monitoring and helpful services
are installed to help their residents maintain their sense of autonomy and privacy. When …

With the rise and advancement of technology, early detection and involvement in health‐
associated monitoring through home control are growing with population aging. The …

Elder neglect is one of the most prevalent yet underestimated types of elder abuse. It can be
associated with adverse health outcomes for the elders. IoT-based elder care systems have …

In this paper, we propose a unified deep learning model for monitoring elderly in execution
of daily life activities such as eating, sleeping or taking medication. The proposed approach …