K Papadopoulos, M Jelali - Applied Sciences, 2023 - mdpi.com
The importance of radar-based human activity recognition has increased significantly over the last two decades in safety and smart surveillance applications due to its superiority in …
Identifying human activities using short-range and low-power radars has attracted much attention among the researchers and consumer electronics industry. This paper considers …
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 …
Linked to the increasing availability of datasets for radar-based human activity recognition (HAR), in this Student Highlights contribution, we report on a classification project that a …
M Jia, S Li, J Le Kernec, S Yang… - … conference on UK …, 2020 - ieeexplore.ieee.org
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based …
Human activity characterization based on gait signatures is important in several applications including medical, elderly care, police, biometric identification, etc. Cameras and on-body …
S Zhu, J Xu, H Guo, Q Liu, S Wu… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Indoor human activity recognition has been extensively investigated. However, most of the solutions require sensors eg 9-axis IMU be equipped on human body or use image …
A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
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 …
We perform classification of Activities of Daily Living (ADL) using a Frequency-Modulated Continuous Waveform (FMCW) radar. In particular, we consider contiguous motions that are …