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 …

Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elder and a significant decrease in his …

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 …

Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

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 …

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

This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Prior detection for high risk of falls in elderly people is an essential and challenging task.
Wearable sensors have already proven as beneficial resource in monitoring daily living …

This paper presents SmartFall, an Android app that uses accelerometer data collected from
a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The …