This paper used micro-Doppler radar (MDR) measurements to investigate the significance
of associations between cognitive functions and gait features of elderly persons. The aim of …

This chapter presents Kalman filters for tracking moving objects and their efficient design
strategy based on steady-state performance analysis. First, a dynamic/measurement model is …

This paper describes the application of micro-Doppler radar (MDR) to gait classification based
on fall risk-related differences using deep learning and gait parameter-based approaches…

This study presents a radar-based remote measurement system for classification of human
behaviors and falls in restrooms without privacy invasion. Our system uses a dual Doppler …

We present an automatic parameter setting method to achieve an accurate second-order
Kalman filter tracker based on a steady-state performance index. First, we propose an efficient …

This paper examines the performance of two position-velocity-measured (PVM) α- β- γ
tracking filters. The first estimates the target acceleration using the measured velocity, and the …

… (Kenshi Saho and Keitaro Shioiri contributed equally to this work.) (Corresponding author:
Kenshi Saho.) The authors are with the Faculty of Engineering, Toyama Prefectural University, …

This letter presents a gait classification technique for the identification of individuals with
different gait patterns using simulated micro-Doppler radar remote sensing data. Proposed …

In a previous study, we developed a classification model to detect fall risk for elderly adults
with a history of falls (fallers) using micro-Doppler radar (MDR) gait measurements via …

This study proposes a novel method to estimate biomechanical gait parameters using the
monostatic continuous wave Doppler radar data corresponding to trunk movement; the use of …