activity
20212026
most citedRF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

165 citations · 710 across the 17 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 1 cited

Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation

Tianyue Zheng, Zhe Chen, Shuya Ding +2

Whereas adversarial training can be useful against specific adversarial perturbations, they have also proven ineffective in generalizing towards attacks deviating from those used f…

cs.LG2021★ 142 cited

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar

Tianyue Zheng, Zhe Chen, Shujie Zhang +2

Crucial for healthcare and biomedical applications, respiration monitoring often employs wearable sensors in practice, causing inconvenience due to their direct contact with human…

eess.SP2021★ 165 cited

RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

Shuya Ding, Zhe Chen, Tianyue Zheng +1

Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a promising solution for many applications. However, device-free (or contactless) sensing is often…

eess.SP2021★ 64 cited

Enhancing RF Sensing with Deep Learning: A Layered Approach

Tianyue Zheng, Zhe Chen, Shuya Ding +1

In recent years, radio frequency (RF) sensing has gained increasing popularity due to its pervasiveness, low cost, non-intrusiveness, and privacy preservation. However, realizing t…

eess.SP2021★ 136 cited

V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing

Tianyue Zheng, Zhe Chen, Chao Cai +2

Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern. Such issues may vary from fatigue, asthma, stroke,…

cs.NI2021★ 105 cited

RF-Based Human Activity Recognition Using Signal Adapted Convolutional Neural Network

Zhe Chen, Chao Cai, Tianyue Zheng +3

Human Activity Recognition (HAR) plays a critical role in a wide range of real-world applications, and it is traditionally achieved via wearable sensing. Recently, to avoid the bur…

eess.SP2021★ 46 cited

SiWa: See into Walls via Deep UWB Radar

Tianyue Zheng, Zhe Chen, Jun Luo +3

Being able to see into walls is crucial for diagnostics of building health; it enables inspections of wall structure without undermining the structural integrity. However, existing…