Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Zhang, Dongheng"'
Recent advancements have showcased the potential of handheld millimeter-wave (mmWave) imaging, which applies synthetic aperture radar (SAR) principles in portable settings. However, existing studies addressing handheld motion errors either rely on co
Externí odkaz:
http://arxiv.org/abs/2405.02023
Millimeter-wave (mmWave) radar pointcloud offers attractive potential for 3D sensing, thanks to its robustness in challenging conditions such as smoke and low illumination. However, existing methods failed to simultaneously address the three main cha
Externí odkaz:
http://arxiv.org/abs/2309.15374
This paper introduces a novel framework, i.e., RFPose-OT, to enable the 3D human pose estimation from Radio Frequency (RF) signals. Different from existing methods that predict human poses from RF signals on the signal level directly, we consider the
Externí odkaz:
http://arxiv.org/abs/2301.13013
Human silhouette segmentation, which is originally defined in computer vision, has achieved promising results for understanding human activities. However, the physical limitation makes existing systems based on optical cameras suffer from severe perf
Externí odkaz:
http://arxiv.org/abs/2201.10175
The past years have witnessed increasing research interest in achieving passive human localization with commodity WiFi devices. However, due to the fundamental limited spatial resolution of WiFi signals, it is still very difficult to achieve accurate
Externí odkaz:
http://arxiv.org/abs/2201.01463
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 detectors and two-stage detectors. We extract the radio localization
Externí odkaz:
http://arxiv.org/abs/2112.08743
The electrocardiogram (ECG) has always been an important biomedical test to diagnose cardiovascular diseases. Current approaches for ECG monitoring are based on body attached electrodes leading to uncomfortable user experience. Therefore, contactless
Externí odkaz:
http://arxiv.org/abs/2112.06639
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 off the human body. Different from existing RF sensing works that can o
Externí odkaz:
http://arxiv.org/abs/2112.03727
WiFi-based imaging enables pervasive sensing in a privacy-preserving and cost-effective way. However, most of existing methods either require specialized hardware modification or suffer from poor imaging performance due to the fundamental limit of of
Externí odkaz:
http://arxiv.org/abs/2112.00242
Device free human gesture recognition with Radio Frequency signals has attained acclaim due to the omnipresence, privacy protection, and broad coverage nature of RF signals. However, neural network models trained for recognition with data collected f
Externí odkaz:
http://arxiv.org/abs/2111.10602