Radar, as one of the sensors for human activity recognition (HAR), has unique
characteristics such as privacy protection and contactless sensing. Radar-based HAR has …

Bayesian optimization (BO) has been widely applied to several modern science and
engineering applications such as machine learning, neural networks, robotics, aerospace …

Deep learning is a field in artificial intelligence that works well in computer vision, natural
language processing and audio recognition. Deep neural network architectures has number …

We introduce a simple but effective technique in automatic hand gesture recognition using
radar. The proposed technique classifies hand gestures based on the envelopes of their …

Radar gait recognition is robust to light variations and less infringement on privacy. Previous
studies often utilize either spectrograms or cadence velocity diagrams. While the former …

Gesture recognition has been a hot research topic in human–computer interaction, since
contactless gesture recognition will provide increasing applications in many fields. Millimeter …

Although magnetic resonance imaging (MRI) has a higher sensitivity of early breast cancer
than mammography, the specificity is lower. The purpose of this study was to develop a …

With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

In considering human-machine interface (HMI) for smart environment, a simple but effective
method is proposed for automatic arm motion recognition with a Doppler radar sensor. Arms …

Deep learning techniques have attracted much attention in the radar automatic target
recognition. In this paper, we investigate an acceleration method of the convolutional neural …