Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …
people because of its ability to learn extensive high-level information about human activity …
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 …
Fruit quality and defect image classification with conditional GAN data augmentation
Abstract Contemporary Artificial Intelligence technologies allow for the employment of
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …
Vid2doppler: Synthesizing doppler radar data from videos for training privacy-preserving activity recognition
Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …
human activity recognition, offering signal richness approaching that of microphones and …
Motion classification using kinematically sifted acgan-synthesized radar micro-doppler signatures
Deep neural networks have recently received a great deal of attention in applications
requiring classification of radar returns, including radar-based human activity recognition for …
requiring classification of radar returns, including radar-based human activity recognition for …
Physics-aware generative adversarial networks for radar-based human activity recognition
Generative adversarial networks (GANs) have recently been proposed for the synthesis of
RF micro-Doppler signatures to address the issue of low sample support and enable the …
RF micro-Doppler signatures to address the issue of low sample support and enable the …
w-HAR: An activity recognition dataset and framework using low-power wearable devices
Human activity recognition (HAR) is growing in popularity due to its wide-ranging
applications in patient rehabilitation and movement disorders. HAR approaches typically …
applications in patient rehabilitation and movement disorders. HAR approaches typically …
Towards generalized mmwave-based human pose estimation through signal augmentation
The unprecedented advance of wireless human sensing is enabled by the proliferation of
the deep learning techniques, which, however, rely heavily on the completeness and …
the deep learning techniques, which, however, rely heavily on the completeness and …
Elderly fall detection with vital signs monitoring using CW Doppler radar
K Hanifi, ME Karsligil - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Falling is the main cause of disability and fatality of elderly. In this work we used a 24 GHz
continuous-wave Doppler radar to develop a low price and a highly accurate fall detection …
continuous-wave Doppler radar to develop a low price and a highly accurate fall detection …
IoT health devices: exploring security risks in the connected landscape
The concept of the Internet of Things (IoT) spans decades, and the same can be said for its
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …
inclusion in healthcare. The IoT is an attractive target in medicine; it offers considerable …