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[HTML][HTML] An intelligent non-invasive real-time human activity recognition system for next-generation healthcare
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
(AI) driven healthcare systems. Human motion can be used to provide remote healthcare …
[HTML][HTML] Discrete human activity recognition and fall detection by combining FMCW RADAR data of heterogeneous environments for independent assistive living
Human activity monitoring is essential for a variety of applications in many fields, particularly
healthcare. The goal of this research work is to develop a system that can effectively detect …
healthcare. The goal of this research work is to develop a system that can effectively detect …
Pushing the limits of remote RF sensing by reading lips under the face mask
The problem of Lip-reading has become an important research challenge in recent years.
The goal is to recognise speech from lip movements. Most of the Lip-reading technologies …
The goal is to recognise speech from lip movements. Most of the Lip-reading technologies …
Non-invasive localization using software-defined radios
Non-invasive indoor human activity detection using radio waves has attracted the interest of
researchers, contributing to a range of new applications including smart healthcare …
researchers, contributing to a range of new applications including smart healthcare …
[PDF][PDF] Human recognition using single-input-single-output channel model and support vector machines
WiFi based human motion recognition systems mainly rely on the availability of Channel
State Information (CSI). Embedded within WiFi devices, the present radio subsystems can …
State Information (CSI). Embedded within WiFi devices, the present radio subsystems can …
Wireless sensing for human activity recognition using USRP
Artificial Intelligence (AI) in tandem wireless technologies is providing state-of-the-art
techniques human motion detection for various applications including intrusion detection …
techniques human motion detection for various applications including intrusion detection …
[PDF][PDF] Cross-Dimensional Feature Fusion MLP Model for Human Behavior Recognition.
J Zhang, T Shi, W Cui, Y Tao, H Zhang - Engineering Letters, 2022 - engineeringletters.com
Aiming at the problem that human behavior is difficult to identify, a bottom-up and horizontal
connections Cross-dimensional Feature Fusion MLP model (CFF-MLP) was proposed in this …
connections Cross-dimensional Feature Fusion MLP model (CFF-MLP) was proposed in this …
基于 HHT 和改进 PNN 的 CSI 人体动作识别研究.
**新春， 张光锐， 于洪仕… - Journal of Chongqing …, 2022 - search.ebscohost.com
为了有效判别真实摔倒动作与疑似摔倒动作, 提高动作识别准确度ꎬ 提出基于希尔伯特黄变换(
Hilbert-Huang transform ꎬ HHT) 和改进概率神经网络(probabilistic neural networksꎬ PNN) …
Hilbert-Huang transform ꎬ HHT) 和改进概率神经网络(probabilistic neural networksꎬ PNN) …
Contactless artificial intelligence-enabled radio frequency sensing for healthcare applications
WA Taylor - 2023 - theses.gla.ac.uk
Human motion detection is getting considerable attention in the field of Artificial Intelligence
(AI) driven healthcare systems. Human motion detection can be used to provide remote …
(AI) driven healthcare systems. Human motion detection can be used to provide remote …
An WiFi-Based Human Activity Recognition System Under Multi-source Interference
WiFi-based human activity recognition in simple scenes has made exciting progress driven
by deep learning methods, but current applications are focused on recognition without …
by deep learning methods, but current applications are focused on recognition without …