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 …
Semi-Supervised Convolutional Autoencoder With Attention Mechanism for Activity Recognition
Z Sadeghi-Adl, F Ahmad - 2023 31st European Signal …, 2023 - ieeexplore.ieee.org
In this paper, we consider human activity recognition with a semi-supervised convolutional
autoencoder (CAE), augmented by an attention mechanism, using radar micro-Doppler …
autoencoder (CAE), augmented by an attention mechanism, using radar micro-Doppler …
Radar-based Human Motion Recognition Using Semi-supervised Triple-GAN
L Liu, S Wang, C Song, H Xu, J Li… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Radar-based human motion recognition (HMR) has drawn considerable attention in many
social and military applications. Deep learning (DL) is one of the most promising methods in …
social and military applications. Deep learning (DL) is one of the most promising methods in …