JH Choi, JE Kim, KT Kim - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
With the development of deep learning (DL) frameworks in the field of pattern recognition, DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various …
X Yang, X Zhang, Y Ding, L Zhang - Remote Sensing, 2021 - mdpi.com
The monitoring of human activity and vital signs plays a significant role in remote health- care. Radar provides a non-contact monitoring approach without privacy and illumination …
Management of crowd information in public transportation (PT) systems is crucial, both to foster sustainable mobility, by increasing the user's comfort and satisfaction during normal …
S Li, Y Xiong, X Shen, Z Peng - Mechanical Systems and Signal Processing, 2022 - Elsevier
Vibration measurement is of great significance for structural health monitoring (SHM). The emerging microwave vibration measurement technology has distinct advantages over the …
X Yang, Y Ding, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In-vehicle people sensing has received considerable attention for preventing overloading and forgotten children. Impulse radio ultrawideband (IR-UWB) radar is widely applied in …
JH Choi, KB Kang, KT Kim - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Remote physiology, which involves monitoring vital signs without the need for physical contact, has great potential for various applications. Current remote physiology methods rely …
Due to its high delay resolution, the ultrawideband (UWB) technique has been widely adopted for fine-grained indoor localization. Instead of active positioning, UWB radar-based …
This article aims to propose new techniques to detect and distinguish humans from moving machines in indoor environments. Although many research efforts have been already …