Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the
target other than gross translation. The small micro‐motions of a subject, and even just parts …

This review analyses the different gesture recognition systems through a timeline, showing
the different types of technology, and specifying which are the most important features and …

Objective: In this paper, we demonstrate the applicability of radar for gait classification with
application to home security, medical diagnosis, rehabilitation, and assisted living. Aiming at …

We develop a novel radar-based human motion recognition technique that exploits the
temporal sequentiality of human motions. The stacked recurrent neural network (RNN) with …

Finger-vein recognition, which is one of the conventional biometrics, hinders fake attacks, is
cheaper, and it features a higher level of user-convenience than other biometrics because it …

In this letter, we present the use of experimental human micro-Doppler signature data
gathered by a multistatic radar system to discriminate between unarmed and potentially …

Falls are a major public health concern and main causes of accidental death in the senior
US population. Timely and accurate detection permit immediate assistance after a fall and …

This paper addresses the problem of radar-based human gait recognition based on the dual-
channel deep convolutional neural network (DC-DCNN). To enrich the limited radar data set …

Person identification plays a critical role in a large range of applications. Recently, RF based
person identification becomes a hot research topic due to the contact-free nature of RF …

This paper presents the use of a deep convolutional neural network (DCNN) in
distinguishing between absence of human gait and the presence of single or multiple …