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Ze Gu

dblp:182/2229 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-5459-1008ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 77% Cellular and mobile networks · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
dual-band communication
0.212024
A dual-band wireless communication of spoof plasmonic meta-waveguide · Sci. China Inf. Sci. 2024

Methods — techniques the papers use, named apart from their topics

spoof plasmonic metamaterials · 0.8
YearPublicationVenuePosition
2024 A dual-band wireless communication of spoof plasmonic meta-waveguide
Xinxin Gao, Geng-Bo Wu, Ze Gu, Qian Ma 0013, Wenyi Cui, Tiejun Cui, Chi Hou Chan
Sci. China Inf. Sci.3
2024 Multiperson Detection and Vital-Sign Sensing Empowered by Space-Time-Coding Reconfigurable Intelligent Surfaces
abstract
Passive wireless human sensing has attracted increasing attention due to its non-contact nature and robustness under different lighting conditions. This paper proposes a system for multiperson detection and vital-sign (i.e., respiration and heartbeat) monitoring using space-time-coding (STC) reconfigurable intelligent surfaces (RISs). Specifically, the proposed system scans the area of interest (AoI) for human detection by using the STC RIS-generated harmonic beams. Simultaneously, specific beams are assigned to the detected persons for vital-sign sensing. Furthermore, we propose an improved variational mode decomposition (VMD) algorithm to process the reflected echo signal and estimate respiration and heartbeat rates of the detected persons. We build a prototype to validate the proposed system. Experimental results demonstrate that the system can simultaneously monitor respiration and heartbeat of up to four persons, with average errors below 1 RPM (respiration per minute) and 5 BPM (beats per minute). Further analysis reveals that the flexible beam control enabled by the STC RIS can reduce the noise reflected by irrelative objects, thus improving the signal-to-noise ratio of echoes from the human chest. This work offers a contact-free care to round-the-clock monitor vital signs of multiple persons, which are critical indicators for assessing general health state and identifying various diseases.
Jian Wei You, Ze Gu, Qian Ma 0013, Tiejun Cui
IEEE Internet Things J.3