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20212026
most citedContactless Electrocardiogram Monitoring with Millimeter Wave Radar

205 citations · 392 across the 17 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021

Radio-Assisted Human Detection

Chengrun Qiu, Dongheng Zhang, Yang Hu +3

In this paper, we propose a radio-assisted human detection framework by incorporating radio information into the state-of-the-art detection methods, including anchor-based onestage…

cs.MM2021

RFGAN: RF-Based Human Synthesis

Cong Yu, Zhi Wu, Dongheng Zhang +3

This paper demonstrates human synthesis based on the Radio Frequency (RF) signals, which leverages the fact that RF signals can record human movements with the signal reflections o…

eess.SP2021★ 205 cited

Contactless Electrocardiogram Monitoring with Millimeter Wave Radar

Jinbo Chen, Dongheng Zhang, Zhi Wu +3

The electrocardiogram (ECG) has always been an important biomedical test to diagnose cardiovascular diseases. Current approaches for ECG monitoring are based on body attached elect…

cond-mat.mtrl-sci2021

Interpretable Machine Learning for Materials Design

James Dean, Matthias Scheffler, Thomas A. R. Purcell +3

Fueled by the widespread adoption of Machine Learning (ML) and the high-throughput screening of materials, the data-centric approach to materials design has asserted itself as a ro…

cs.CV2021★ 31 cited

Unsupervised Domain Adaptation for RF-based Gesture Recognition

Bin-Bin Zhang, Dongheng Zhang, Yadong Li +2

Human gesture recognition with Radio Frequency (RF) signals has attained acclaim due to the omnipresence, privacy protection, and broad coverage nature of RF signals. These gesture…

cs.CV2021★ 134 cited

Towards Domain-Independent and Real-Time Gesture Recognition Using mmWave Signal

Yadong Li, Dongheng Zhang, Jinbo Chen +5

Human gesture recognition using millimeter-wave (mmWave) signals provides attractive applications including smart home and in-car interfaces. While existing works achieve promising…

eess.IV2021★ 5 cited

Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes

Ruixu Geng, Yang Hu, Yan Chen

As an emerging technology that has attracted huge attention, non-line-of-sight (NLOS) imaging can reconstruct hidden objects by analyzing the diffuse reflection on a relay surface,…