Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar

H Du, T Jin, Y He, Y Song, Y Dai - Neurocomputing, 2020 - Elsevier
The automatic detection and recognition of human activities are valuable for physical
security, gaming, and intelligent interface. Compared to an optical recognition system, radar …

Passive radar for opportunistic monitoring in e-health applications

W Li, B Tan, R Piechocki - IEEE journal of translational …, 2018 - ieeexplore.ieee.org
This paper proposes a passive Doppler radar as a non-contact sensing method to capture
human body movements, recognize respiration, and physical activities in e-Health …

A Contactless Health Monitoring System for Vital Signs Monitoring, Human Activity Recognition and Tracking

A Li, E Bodanese, S Poslad, P Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Integrated sensing and communication technologies provide essential sensing capabilities
that address pressing challenges in remote health monitoring systems. However, most of …

Non-visual and contactless wellness monitoring for long term care facilities using mm-wave radar sensors

H Abedi, A Ansariyan, C Lehman, PP Morita… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
We propose a radar-based system for wellness monitoring for long-term care (LTC) facilities.
Three standalone systems are used to monitor a resident in the washroom, living room and …

Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions

HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi - Information Fusion, 2019 - Elsevier
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

Learning-refined integral null space pursuit algorithm for noncontact multisubjects vital signs measurements using SFCW-UWB and IR-UWB radar

L Qiao, X Li, B Xiao, M He, X Bi, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Under low signal-to-noise-and-clutter ratio circumstances, noncontact multisubjects vital
sign assessment based on ultrawideband (UWB) radar is extremely difficult. It is challenging …

Single 24-GHz FMCW radar-based indoor device-free human localization and posture sensing with CNN

S Yang, Y Kim - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The position information and posture information of a device-free human in a confined
indoor environment have multiple uses in health monitoring and other areas. In this study …

Using RF transmissions from IoT devices for occupancy detection and activity recognition

W Li, S Vishwakarma, C Tang… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
IoT ecosystems consist of a range of smart devices that generated a plethora of Radio
Frequency (RF) transmissions. This provides an attractive opportunity to exploit already …

A hybrid radar-camera respiratory monitoring system based on an impulse-radio ultrawideband radar

C Yang, B Bruce, X Liu, B Gholami… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
This paper reports a pilot study of a hybrid radar-camera system that simultaneously
monitors the respiration of two subjects. A prototype system was built involving a low-cost …

Lightweight deep learning model in mobile-edge computing for radar-based human activity recognition

J Zhu, X Lou, W Ye - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Radar-based human activity recognition (HAR) has great potential in many fields, such as
surveillance, smart homes, and human-computer interaction. Complex deep neural …