Deep Learning for Sensing Matrix Prediction in Computational Microwave Imaging With Coded-Apertures

J Zhang, R Sharma, M García-Fernández… - IEEE …, 2024 - ieeexplore.ieee.org
This work aims to simplify the characterization process of coded-apertures for computational
imaging (CI) at microwave frequencies. A major benefit of the presented technique is the …

Microwave Speech Recognizer Empowered by a Programmable Metasurface

H Zhang, H Ruan, H Zhao, Z Wang, S Hu… - Advanced …, 2024 - Wiley Online Library
Speech recognition becomes increasingly important in the modern society, especially for
human–machine interactions, but its deployment is still severely thwarted by the struggle of …

Fine-Grained Gesture Recognition by Using FMCW Millimeter-Wave Radar

C Yuan, Z Chen, P Chen, R Tian… - 2023 Cross Strait …, 2023 - ieeexplore.ieee.org
Accurate recognition of fine-grained gestures is a prerequisite for their application in
emerging scenarios, such as smart cars and smart phones. In this paper, we propose a …

Real Time Gesture Detection Using Convolutional Neural Network

R Shamalik, S Koli - 2022 IEEE 4th International Conference on …, 2022 - ieeexplore.ieee.org
Gestures make touch less connectivity and systems easier to use. In many applications,
such as Augmented Reality (AR) and Virtual Reality (VR), computer vision is crucial …

Intelligent Metasurface with Machine Learning for Non-contact Hand Gesture Recognition

G Liu, H Wang, H Li, Y Li - 2022 International Applied …, 2022 - ieeexplore.ieee.org
we propose a non-contact hand gesture recognition method based on a transmissive
metasurface combined with a machine learning technique. Compared with traditional …