Over the period, two significant advancements ie shrinking of the sensor size and improved
communication capability, lead the sensor-based internet-of-things (SBIoT) to mature …

Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …

In the realm of sustainable IoT and AI applications for the well-being of elderly individuals
living alone in their homes, falls can have severe consequences. These consequences …

Falling is among the most threatening event proficient by the ageing population. There is a
necessity for the development of the fall detection (FD) system with the increasing ageing …

The incidence of falls is more commonly experienced by the ageing population globally, due
to their increasing frailty. Fall detection systems are being developed combined with …

Continuous-wave doppler radar, which has the advantages of simple structure, low cost, and
low power consumption, has attracted extensive attention in the detection of human vital …

This article presents a two-stage radar-based continuous fall detection system designed for
high accuracy and low power consumption, suitable for edge device deployment. The …

Falls are critical events among the elderly living alone in their rooms and can have intense
consequences, such as the elderly person being left to lie for a long time after the fall …

Human falls occur rarely; however, they can lead to severe consequences if not addressed
immediately. With the rise of nuclear families, there has been a significant increase in the …

Dynamic monitoring of oil-water separation occupies an important position in the petroleum
industry. This study introduces a sensor detection system based on a serpentine microstrip …