WiFi sensing with channel state information: A survey

Y Ma, G Zhou, S Wang - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

Wireless sensing for human activity: A survey

J Liu, H Liu, Y Chen, Y Wang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

Zero-effort cross-domain gesture recognition with Wi-Fi

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 …

FarSense: Pushing the range limit of WiFi-based respiration sensing with CSI ratio of two antennas

Y Zeng, D Wu, J Xiong, E Yi, R Gao… - Proceedings of the ACM on …, 2019 - dl.acm.org
The past few years have witnessed the great potential of exploiting channel state information
retrieved from commodity WiFi devices for respiration monitoring. However, existing …

Two-stream convolution augmented transformer for human activity recognition

B Li, W Cui, W Wang, L Zhang, Z Chen… - Proceedings of the AAAI …, 2021 - ojs.aaai.org
Recognition of human activities is an important task due to its far-reaching applications such
as healthcare system, context-aware applications, and security monitoring. Recently, WiFi …

Integrated sensing and communication: Enabling techniques, applications, tools and data sets, standardization, and future directions

J Wang, N Varshney, C Gentile… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The design of integrated sensing and communication (ISAC) systems has drawn recent
attention for its capacity to solve a number of challenges. Indeed, ISAC can enable …

Data augmentation and dense-LSTM for human activity recognition using WiFi signal

J Zhang, F Wu, B Wei, Q Zhang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …

Pantomime: Mid-air gesture recognition with sparse millimeter-wave radar point clouds

S Palipana, D Salami, LA Leiva, S Sigg - Proceedings of the ACM on …, 2021 - dl.acm.org
We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …

Deep learning for edge computing applications: A state-of-the-art survey

F Wang, M Zhang, X Wang, X Ma, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

ASL-3DCNN: American sign language recognition technique using 3-D convolutional neural networks

S Sharma, K Kumar - Multimedia Tools and Applications, 2021 - Springer
The communication between a person from the impaired community with a person who does
not understand sign language could be a tedious task. Sign language is the art of conveying …