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 …

Background The phenomenon of the increasing number of ageing people in the world is
arguably the most significant economic, health and social challenge that we face today …

Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

Human activity recognition has attracted the attention of researchers around the world. This
is an interesting problem that can be addressed in different ways. Many approaches have …

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 …

The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

This review aims to present current advancements in wearable technologies and IoT-based
applications to support independent living. The secondary aim was to investigate the …

The automatic recognition of human falls is currently an important topic of research for the
computer vision and artificial intelligence communities. In image analysis, it is common to …

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 …