Radar-based activity recognition is a problem that has been of great interest due to
applications such as border control and security, pedestrian identification for automotive …

Currently, developments in wireless sensing technologies have shown that wireless signals
can be employed to transmit information between wireless communication devices and are …

Body language is a nonverbal communication process consisting of movements, postures,
gestures, and expressions of the body or body parts. Body language expresses human …

Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of
the existing gait recognition methods take silhouettes or articulated body models as gait …

Electromagnetic waves are transmitted by radars and reflected by different objects, and
radar signal processing is highly significant as its analyses can lead to the acquisition of …

In this letter, we propose two methods for personnel recognition and gait classification using
deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler …

In this work, the authors present results for classification of different classes of targets (car,
single and multiple people, bicycle) using automotive radar data and different neural …

王俊(1972–), 男, 教授. 现于北京航空航天大学电子信息工程学院从事科研教学工作. 1995
年于西北工业大学获通信工程专业工学学士学位, 1998 年, 2001 年于北京航空航天大学分别获 …

Recently, deep neural networks (DNNs) have been the subject of intense research for the
classification of radio frequency signals, such as synthetic aperture radar imagery or micro …

Deep neural networks (DNNs) require large-scale labeled data sets to prevent overfitting
while having good generalization. In radar applications, however, acquiring a measured …