Body gesture recognition can be applied not only to social security but also to rescue
operations. In reality, body gesture can produce unique micro-Doppler signatures (MDSs) …

In this Letter, the authors propose a method for personnel recognition using deep
convolutional neural networks (DCNNs) based on human micro‐Doppler (m‐D) signal …

In this paper, we investigate the feasibility of recognizing human hand gestures using micro-
Doppler signatures measured by Doppler radar with a deep convolutional neural network …

Detecting humans and classifying their activities on the water has significant applications for
surveillance, border patrols, and rescue operations. When humans are illuminated by radar …

Human identification is crucial in various applications, including terrorist attack preventing,
criminal seeking, defence and so on. Traditional human identification methods are usually …

Human target is a kind of widely concerned target, this paper aims at walk, run and jump
three kinds of human activities to identify. In the simulation experiment, first of all, using the …

The work presented in this paper aims to distinguish between armed or unarmed personnel
using multi-static radar data and advanced Doppler processing. We propose two modified …

In this paper, we investigate the use of human gait micro-Doppler features for personnel
recognition with a deep learning approach. Compared with conventional methods for radar …

With the increasing demand of security defense., anti-terrorism investigation and disaster
rescue., human activity classification and recognition have become a hot research topic …

Gestures can be gradually used to achieve natural and direct communication between
people and machines, not limited to people. However, micro gesture motion sensing using …