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 …

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 …

Precise power delay profiling with commodity WiFi

Y Xie, Z Li, M Li - Proceedings of the 21st Annual international …, 2015 - dl.acm.org
Power delay profiles characterize multipath channel features, which are widely used in
motion-or localization-based applications. Recent studies show that the power delay profile …

Towards 3D human pose construction using WiFi

W Jiang, H Xue, C Miao, S Wang, S Lin, C Tian… - Proceedings of the 26th …, 2020 - dl.acm.org
This paper presents WiPose, the first 3D human pose construction framework using
commercial WiFi devices. From the pervasive WiFi signals, WiPose can reconstruct 3D …

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 …

Deep learning based wireless localization for indoor navigation

R Ayyalasomayajula, A Arun, C Wu, S Sharma… - Proceedings of the 26th …, 2020 - dl.acm.org
Location services, fundamentally, rely on two components: a mapping system and a
positioning system. The mapping system provides the physical map of the space, and the …

On-demand deep model compression for mobile devices: A usage-driven model selection framework

S Liu, Y Lin, Z Zhou, K Nan, H Liu, J Du - Proceedings of the 16th annual …, 2018 - dl.acm.org
Recent research has demonstrated the potential of deploying deep neural networks (DNNs)
on resource-constrained mobile platforms by trimming down the network complexity using …

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 …

Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities

Y Ge, A Taha, SA Shah, K Dashtipour… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …

DifFormer: Multi-resolutional differencing transformer with dynamic ranging for time series analysis

B Li, W Cui, L Zhang, C Zhu, W Wang… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Time series analysis is essential to many far-reaching applications of data science and
statistics including economic and financial forecasting, surveillance, and automated …