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

Photosensitivity is a neurological disorder in which a person's brain produces epileptic
discharges, known as Photoparoxysmal Responses (PPRs), when it receives certain visual …

Human activity recognition (HAR) can effectively improve the safety of the elderly at home.
However, non-contact millimeter-wave radar data on the activities of the elderly is often …

Abnormal behavior has become the leading cause of injuries among the elderly in the
modern society. Elderly anomaly is a widespread concern in both academic and industrial …

With the continuous promotion of smart substations, staff fall detection has become a key
issue in automatic detection of substations. The injuries and safety hazards caused by falls …

Inertial sensors have become increasingly popular in human activity classification due to
their ease of use and affordability. This paper proposes a novel algorithm for human activity …

The application of wearable devices for fall detection has been the focus of much research
over the past few years. One of the most common problems in established fall detection …

In order to relieve the pressure of medical resources and meet the demand of human health
real-time detection, a remote health detection algorithm based on sensor signal purification …

Nowadays, device monitoring is an activity present in various different environments.
Ranging from monitoring workers in their workplaces, city traffic, surveillance in shops, to …

Due to the increasing severity of aging populations in modern society, the accurate and
timely identification of, and responses to, sudden abnormal behaviors of the elderly have …