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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 …
Sensing technology for human activity recognition: A comprehensive survey
Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …
important to gain knowledge about human activities. Human Activity recognition plays an …
Continuous human motion recognition with a dynamic range-Doppler trajectory method based on FMCW radar
C Ding, H Hong, Y Zou, H Chu, X Zhu… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
Radar-based human motion recognition is crucial for many applications, such as
surveillance, search and rescue operations, smart homes, and assisted living. Continuous …
surveillance, search and rescue operations, smart homes, and assisted living. Continuous …
Radar signal processing for sensing in assisted living: The challenges associated with real-time implementation of emerging algorithms
This article covers radar signal processing for sensing in the context of assisted living (AL).
This is presented through three example applications: human activity recognition (HAR) for …
This is presented through three example applications: human activity recognition (HAR) for …
A comprehensive overview on uwb radar: Applications, standards, signal processing techniques, datasets, radio chips, trends and future research directions
Due to their large bandwidth, relatively low cost, and robust performance, uwb radio chips
can be used for a wide variety of applications, including localization, communication, and …
can be used for a wide variety of applications, including localization, communication, and …
Contactless fall detection using time-frequency analysis and convolutional neural networks
Automatic detection of a falling person based on noncontact sensing is a challenging
problem with applications in smart homes for elderly care. In this article, we propose a radar …
problem with applications in smart homes for elderly care. In this article, we propose a radar …
A compact tri-notched flexible UWB antenna based on an inkjet-printable and plasma-activated silver nano ink
W Yang, X Zhao, Z Guo, H Sun, EJW List-Kratochvil - Scientific Reports, 2024 - nature.com
The rapid development of ultrawideband (UWB) communication systems has resulted in
increasing performance requirements for the antenna system. In addition to a wide …
increasing performance requirements for the antenna system. In addition to a wide …
SleepPoseNet: Multi-view learning for sleep postural transition recognition using UWB
Recognizing movements during sleep is crucial for the monitoring of patients with sleep
disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human …
disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human …
Sleep posture recognition based on machine learning: A systematic review
X Li, Y Gong, X **, P Shang - Pervasive and Mobile Computing, 2023 - Elsevier
Background: In recent years, the application of artificial intelligence in the field of sleep
medicine has rapidly emerged. One of the main concerns of many researchers is the …
medicine has rapidly emerged. One of the main concerns of many researchers is the …
Millimeter-wave frequency modulated continuous wave radar-based soft fall detection using pattern contour-confined Doppler-time maps
Fall accidents are one of the leading causes of non-natural death of older people. It is
necessary to design and implement fall detection systems in older people's homes. Among …
necessary to design and implement fall detection systems in older people's homes. Among …