Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …

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 …

Fall causes trauma or critical injury among the geriatric population which is a second
leading accidental cause of post-injury mortality around the world. It is crucial to keep elderly …

Falls pose a significant risk to elderly people, patients with diseases such as neurological
disorders, cardiovascular diseases, and disabled children. This highlights the need for real …

Falls, which are increasing at an unprecedented rate in the global elderly population, are
associated with a multitude of needs such as healthcare, medical, caregiver, and economic …

Fallen person detection (FPD) is a new problem that aims to detect a person who lies or falls
down on driving roads. The biggest difficulty in FPD is capturing a sufficient number of …

To support the independent living of older adults in their own homes, it is essential to identify
their abnormal behaviors before triggering an automated alert system. Existing normal vision …

Falls, highly common in the constantly increasing global aging population, can have a
variety of negative effects on their health, well-being, and quality of life, including restricting …

To ensure healthy lives and promoting well-being for all in the society at all ages is one of
the goals of United Nations. Specially, health of elderly people plays an important factor in …

The human motion data collected using wearables like smartwatches can be used for
activity recognition and emergency event detection. This is especially applicable in the case …