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 …

Point clouds (PCs) are ubiquitous data representation schemas in complex tasks related to
semantic segmentation and scene understanding. Contrary to vision-based approaches …

Telemedicine has the potential to improve access and delivery of healthcare to diverse and
aging populations. Recent advances in technology allow for remote monitoring of …

Many advanced automatic target recognition (ATR) methods for synthetic aperture radar
(SAR) encounter limitations, as they heavily rely on the assumption of a closed-set …

Every year, over 30% of individuals aged 65 and above experience fall, leading to potential
physical and psychological harm. This is particularly concerning for those who live …

This study explored an indoor system for tracking multiple humans and detecting falls,
employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables …

As deep learning technology advances, human fall detection (HFD) leveraging
convolutional neural networks (CNNs) has recently garnered significant interest within the …

The global trend of increasing life expectancy introduces new challenges with far-reaching
implications. Among these, the risk of falls among older adults is particularly significant …

Monitoring patient safety in high-risk mental health environments is a challenge for clinical
staff. There has been a recent increase in the adoption of contactless sensing solutions for …

Falls are one of the most serious health risks faced by older adults worldwide, and they can
have a significant impact on their physical and mental well-being as well as their quality of …