Winect: 3d human pose tracking for free-form activity using commodity wifi

Y Ren, Z Wang, S Tan, Y Chen, J Yang - Proceedings of the ACM on …, 2021 - dl.acm.org
WiFi human sensing has become increasingly attractive in enabling emerging human-
computer interaction applications. The corresponding technique has gradually evolved from …

When CSI meets public WiFi: Inferring your mobile phone password via WiFi signals

M Li, Y Meng, J Liu, H Zhu, X Liang, Y Liu… - Proceedings of the 2016 …, 2016 - dl.acm.org
In this study, we present WindTalker, a novel and practical keystroke inference framework
that allows an attacker to infer the sensitive keystrokes on a mobile device through WiFi …

Towards robust gesture recognition by characterizing the sensing quality of WiFi signals

R Gao, W Li, Y Xie, E Yi, L Wang, D Wu… - Proceedings of the ACM …, 2022 - dl.acm.org
WiFi-based gesture recognition emerges in recent years and attracts extensive attention
from researchers. Recognizing gestures via WiFi signal is feasible because a human …

SMARS: Sleep monitoring via ambient radio signals

F Zhang, C Wu, B Wang, M Wu, D Bugos… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
We present the model, design, and implementation of SMARS, the first practical Sleep
Monitoring system that exploits Ambient Radio Signals to recognize sleep stages and …

A survey on human behavior recognition using channel state information

Z Wang, K Jiang, Y Hou, W Dou, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …

Rethinking Doppler effect for accurate velocity estimation with commodity WiFi devices

K Niu, X Wang, F Zhang, R Zheng… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Enabling pervasive WiFi devices with non-contact sensing capability is an important topic in
the field of integrated sensing and communication. Doppler effect has been widely exploited …

Deep AI enabled ubiquitous wireless sensing: A survey

C Li, Z Cao, Y Liu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
With the development of the Internet of Things (IoT), many kinds of wireless signals (eg, Wi-
Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication …

On spatial diversity in WiFi-based human activity recognition: A deep learning-based approach

F Wang, W Gong, J Liu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The deeply penetrated WiFi signals not only provide fundamental communications for the
massive Internet of Things devices but also enable cognitive sensing ability in many other …

FingerDraw: Sub-wavelength level finger motion tracking with WiFi signals

D Wu, R Gao, Y Zeng, J Liu, L Wang, T Gu… - Proceedings of the ACM …, 2020 - dl.acm.org
This paper explores the possibility of tracking finger drawings in the air leveraging WiFi
signals from commodity devices. Prior solutions typically require user to hold a wireless …

Password-Stealing without Hacking: Wi-Fi Enabled Practical Keystroke Eavesdropping

J Hu, H Wang, T Zheng, J Hu, Z Chen… - Proceedings of the 2023 …, 2023 - dl.acm.org
The contact-free sensing nature of Wi-Fi has been leveraged to achieve privacy breaches,
yet existing attacks relying on Wi-Fi CSI (channel state information) demand hacking Wi-Fi …