C Chen, G Zhou, Y Lin - ACM Computing Surveys, 2023 - dl.acm.org
The past years have witnessed the rapid conceptualization and development of wireless sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …
Y Zheng, Y Zhang, K Qian, G Zhang, Y Liu… - Proceedings of the 17th …, 2019 - dl.acm.org
Wi-Fi based sensing systems, although sound as being deployed almost everywhere there is Wi-Fi, are still practically difficult to be used without explicit adaptation efforts to new data …
Y Li, D Zhang, J Chen, J Wan, D Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive applications including smart home and in-car interfaces. While existing works achieve …
Y Hu, F Zhang, C Wu, B Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fall is recognized as one of the most frequent accidents among elderly people. Many solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
MZ Ozturk, C Wu, B Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Monitoring and identifying gait has recently emerged as a promising solution candidate for unobtrusive human recognition. In order to enable ubiquitous and reliable application, a gait …
Despite extensive research effort on contactless WiFi sensing over the past few years, there are still significant barriers hindering its wide application. One key issue is the limited …
Human has an unique gait and prior works show increasing potentials in using WiFi signals to capture the unique signature of individuals' gait. However, existing WiFi-based human …
Z Yang, Y Zhang, K Qian, C Wu - 20th USENIX Symposium on …, 2023 - usenix.org
Advances in wireless technologies have transformed wireless networks from a pure communication medium to a pervasive sensing platform, enabling many sensorless and …
J Zhang, B Wei, F Wu, L Dong, W Hu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Research has shown the potential of device-free WiFi sensing for human identification. Each and every human has a unique gait and prior works suggest WiFi devices are able to …