[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …
computer interaction, which shows its strength in its convenience and cost-efficiency …
Machine learning for healthcare radars: Recent progresses in human vital sign measurement and activity recognition
The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
sensors has enabled various healthcare applications, including vital sign monitoring, fall …
OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors
This paper presents a comprehensive dataset intended to evaluate passive Human Activity
Recognition (HAR) and localization techniques with measurements obtained from …
Recognition (HAR) and localization techniques with measurements obtained from …
A lightweight multi-scale neural network for indoor human activity recognition based on macro and micro-doppler features
X Yang, W Gao, X Qu, P Yin, H Meng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Through-the-wall radar (TWR) achieves indoor human activity recognition (HAR) by
extracting Doppler and micro-Doppler features. However, the conventional deep learning …
extracting Doppler and micro-Doppler features. However, the conventional deep learning …
UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset
Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as
a promising, low-cost, and scalable indoor localization solution, which is especially suited …
a promising, low-cost, and scalable indoor localization solution, which is especially suited …
[HTML][HTML] UWB-HA4D-1.0: 超宽带雷达人体动作四维成像数据集
金添, 宋永坤, 戴永鹏, 胡锡坤, 宋勇平, 周小龙… - 雷达学报, 2022 - radars.ac.cn
雷达人体行为感知系统具有穿透探测能力, 在安防, 救援, 医疗等领域具有广泛的应用前景.
近年来, 深度学习技术的出现促进了雷达传感器在人体行为感知领域的发展 …
近年来, 深度学习技术的出现促进了雷达传感器在人体行为感知领域的发展 …
Indoor human behavior recognition method based on wavelet scattering network and conditional random field model
X Qu, W Gao, H Meng, Y Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Ultrawideband (UWB) through-the-wall radar (TWR) can be used for indoor human behavior
recognition via micro-Doppler information. However, faced with weak micro-Doppler …
recognition via micro-Doppler information. However, faced with weak micro-Doppler …
A tutorial on the sequential sampling impulse radar concept and selected applications
M Vossiek, N Haberberger, L Krabbe… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The sequential sampling impulse radar is a radar concept that has been known for a very
long time. Ultrawideband (UWB) radar systems have been realized based on this concept …
long time. Ultrawideband (UWB) radar systems have been realized based on this concept …
Hybrid Indoor Positioning System Based on Acoustic Ranging and Wi-Fi Fingerprinting under NLOS Environments
An accurate indoor positioning system (IPS) for the public has become an essential function
with the fast development of smart city-related applications. The performance of the current …
with the fast development of smart city-related applications. The performance of the current …
A comprehensive ultra-wideband dataset for non-cooperative contextual sensing
MJ Bocus, R Piechocki - Scientific Data, 2022 - nature.com
Nowadays, an increasing amount of attention is being devoted towards passive and non-
intrusive sensing methods. The prime example is healthcare applications, where on-body …
intrusive sensing methods. The prime example is healthcare applications, where on-body …