Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

This paper presents different information fusion approaches to classify human gait patterns
and falls in a radar sensors network. The human gaits classified in this work are both …

Radar is an extremely valuable sensing technology for detecting moving targets and
measuring their range, velocity, and angular positions. When people are monitored at home …

In-car activity monitoring is a key enabler of various automotive safety functions. Existing
approaches are largely based on vision systems. Radar, however, can provide a low-cost …

The paper proposes a data-driven pre-processing optimization for radar data using a
parametric convolutional neural network. The proposed method is applied on human activity …

According to the real-living environment, radar-based human activity recognition (HAR) is
dedicated to recognizing and classifying a sequence of activities rather than individual …

With the application of deep learning (DL) techniques, radar-based human activity
recognition (HAR) attracts increasing attention thanks to its high accuracy and good privacy …

BACKGROUND Yanghe Watershed has low annual rainfall, uneven spatial and temporal
distribution, extreme shortage of water resources in some areas. The contradiction between …

This research deals with the method of efficient detection of abnormal building energy
consumption and energy losses for further intelligent building energy management and …

Radar systems are a topic of great interest, especially due to their extensive range of
applications and ability to operate in all weather conditions. Modern radars have high …