Perceptions against the use of alarming devices persist in long-term care environments as
they are seen as annoying, costly, and a waste of time to the staff involved. Ascertaining …

In this study, it is aimed to improve the maximum range and range resolution while detecting
multiple targets' respiration rates. An original algorithm has been proposed for this purpose …

A methodology for acquisition and preprocessing of measurement data from infrared depth
sensors, when applied for fall detection, combined with several approaches to the …

This study presents a Zero-IF structured Stepped Frequency Continuous Wave (SFCW)
radar system for range, respiration rate, and DOA estimation of the targets behind the walls …

In this paper, the useability of feedforward and recurrent neural networks for fusion of data
from impulse-radar sensors and depth sensors, in the context of healthcare-oriented …

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 paper is devoted to the comparison of sixteen methods for fusion of measurement data
from impulse-radar sensors and infrared depth sensors, ie two sensor technologies that may …

Autonomous driving generates several low‐cost technologies, such as light detection and
ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive …

The research reported in this paper is related to the depth-sensor technology when applied
in care services for the elderly and disabled persons. It is focused on a system for non …

A proposed measurement protocol for the lower limbs movement analysis during walking is
presented, with the use of a measurement system based on inertial-magnetic motion …