[HTML][HTML] A multi-channel hybrid deep learning framework for multi-sensor fusion enabled human activity recognition

L Zhang, J Yu, Z Gao, Q Ni - Alexandria Engineering Journal, 2024 - Elsevier
Smart and connected health (SCH) accelerates the development and integration of
information science and engineering approaches to support the digital transformation of …

Human Activity Recognition Method Based on FMCW Radar Sensor with Multi-Domain Feature Attention Fusion Network

L Cao, S Liang, Z Zhao, D Wang, C Fu, K Du - Sensors, 2023 - mdpi.com
This paper proposes a human activity recognition (HAR) method for frequency-modulated
continuous wave (FMCW) radar sensors. The method utilizes a multi-domain feature …

Experimental comparison of IR-UWB radar and FMCW radar for vital signs

D Wang, S Yoo, SH Cho - Sensors, 2020 - mdpi.com
In this paper, we compare the performances of impulse radio ultra-wideband (IR-UWB) and
frequency modulation continuous wave (FMCW) radars in measuring noncontact vital signs …

Radar-based human activity recognition using hybrid neural network model with multidomain fusion

W Ding, X Guo, G Wang - IEEE Transactions on Aerospace and …, 2021 - ieeexplore.ieee.org
This article concerns the issue of how to combine the multidomainradar information,
including range–Doppler, time–Doppler, and time–range, for human activity recognition …

Human activity signatures captured under different directions using SISO and MIMO radar systems

S Waqar, M Muaaz, M Pätzold - Applied Sciences, 2022 - mdpi.com
In this paper, we highlight and resolve the shortcomings of single-input single-output (SISO)
millimeter wave (mm-Wave) radar systems for human activity recognition (HAR). A 2× 2 …

CapsFall: Fall detection using ultra-wideband radar and capsule network

H Sadreazami, M Bolic, S Rajan - IEEE Access, 2019 - ieeexplore.ieee.org
Radar technology for at home health-care has many advantages such as safety, reliability,
privacy-preserving, and contact-less sensing nature. Detecting falls using radar has recently …

Joint motion classification and person identification via multitask learning for smart homes

Y Lang, Q Wang, Y Yang, C Hou… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
In a smart home environment, assisted living has been a topic of great research over the
past decade. Human motion analysis is considered as a key technology for living states …

Multimodal human activity recognition for smart healthcare applications

MM Islam, S Nooruddin, F Karray - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Human Activity Recognition (HAR) has emerged as a potential research topic for smart
healthcare owing to the fast growth of wearable and smart devices in recent years. The …

Complex sincnet for more interpretable radar based activity recognition

S Biswas, CO Ayna, SZ Gurbuz… - 2023 IEEE Radar …, 2023 - ieeexplore.ieee.org
Radio frequency (RF) sensing has been increasingly used in many applications such as fall-
motion recognition, human-machine interfacing, gesture controlled home appliances, and …

Multi-target vital signs detection using SIMO continuous-wave radar with DBF technique

J Xiong, H Zhang, H Hong, H Zhao… - 2020 IEEE Radio and …, 2020 - ieeexplore.ieee.org
In this paper, a single-input multiple-output (SIMO) CW radar with digital beam forming
(DBF) technique is presented to achieve multi-target vital signs detection. The developed …