Artificial intelligence (AI) has been developing rapidly in recent years in terms of software
algorithms, hardware implementation, and applications in a vast number of areas. In this …

Fall risk assessment and fall detection are crucial for the prevention of adverse and long-
term health outcomes. Wearable sensor systems have been used to assess fall risk and …

Sharing of the frequency bands between radar and communication systems has attracted
substantial attention, as it can avoid under-utilization of otherwise permanently allocated …

Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

随着无线通信技术的发展, 全球通信产业对于无线频谱的需求日益增加. 在此背景下,
雷达与通信的频谱共享(RCSS) 引起了工业界和学术界的极大关注. 其内涵不仅包括促成雷达与 …

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 …

Radar is considered an important technology for health monitoring and fall detection in
elderly assisted living due to a number of attributes not shared by other sensing modalities …

Falling or tripping among elderly people living on their own is recognized as a major public
health worry that can even lead to death. Fall detection systems that alert caregivers, family …

In this paper, we propose an approach that uses deep learning to detect a human fall. The
proposed approach automatically captures the intricate properties of the radar returns. In …

We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …