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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 …
[HTML][HTML] A comparative study on recent progress of machine learning-based human activity recognition with radar
The importance of radar-based human activity recognition has increased significantly over
the last two decades in safety and smart surveillance applications due to its superiority in …
the last two decades in safety and smart surveillance applications due to its superiority in …
Continuous human activity recognition with distributed radar sensor networks and CNN–RNN architectures
Unconstrained human activities recognition with a radar network is considered. A hybrid
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
classifier combining both convolutional neural networks (CNNs) and recurrent neural …
Activity classification based on feature fusion of FMCW radar human motion micro-Doppler signatures
Fall is a challenging task that poses a great danger to the elderly person's health as they
carry out their daily routines and activities and could lead to serious injuries, long …
carry out their daily routines and activities and could lead to serious injuries, long …
Patient activity recognition using radar sensors and machine learning
Indoor human activity recognition is actively studied as part of creating various intelligent
systems with applications in smart home and office, smart health, internet of things, etc …
systems with applications in smart home and office, smart health, internet of things, etc …
Angle-insensitive human motion and posture recognition based on 4D imaging radar and deep learning classifiers
The need for technologies for Human Activity Recognition (HAR) in home environments is
becoming more and more urgent because of the aging population worldwide. Radar-based …
becoming more and more urgent because of the aging population worldwide. Radar-based …
Accuracy enhancement of hand gesture recognition using CNN
Human gestures are immensely significant in human-machine interactions. Complex hand
gesture input and noise caused by the external environment must be addressed in order to …
gesture input and noise caused by the external environment must be addressed in order to …
Human activity recognition method based on FMCW radar sensor with multi-domain feature attention fusion network
This paper proposes a human activity recognition (HAR) method for frequency-modulated
continuous wave (FMCW) radar sensors. The method utilizes a multi-domain feature …
continuous wave (FMCW) radar sensors. The method utilizes a multi-domain feature …
On the generalization and reliability of single radar-based human activity recognition
Identifying human activities using short-range and low-power radars has attracted much
attention among the researchers and consumer electronics industry. This paper considers …
attention among the researchers and consumer electronics industry. This paper considers …
Activity recognition of FMCW radar human signatures using tower convolutional neural networks
Human activity recognition has become an obligatory necessity in day to day life and
possible solutions can be provided with the technological advancement of sensing field …
possible solutions can be provided with the technological advancement of sensing field …