Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

In this paper, we propose an approach that uses deep learning to detect a human fall. The
proposed approach automatically captures the intricate properties of the radar returns. In …

Becoming mature enough to be used for improving the quality of life, wireless sensor
network technologies are considered as one of the key research areas in computer science …

Biosignal-based technology has been increasingly available in our daily life, being a critical
information source. Wearable biosensors have been widely applied in, among others …

Wearable sensors are currently being used to manage fatigue in professional athletics,
transportation and mining industries. In manufacturing, physical fatigue is a challenging …

Despite extensive preventive efforts, falls continue to be a major source of morbidity and
mortality among elderly. Real-time detection of falls and their urgent communication to a …

Faced with the growing population of seniors, developed countries need to establish new
healthcare systems to ensure the safety of elderly people at home. Computer vision provides …

Monitoring the unsafe behavior of construction workers at risky elevations is essential for
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …

Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …