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 …

Ten questions concerning occupant behavior in buildings: The big picture

T Hong, D Yan, S D'Oca, C Chen - Building and Environment, 2017 - Elsevier
Occupant behavior has significant impacts on building energy performance and occupant
comfort. However, occupant behavior is not well understood and is often oversimplified in …

Understanding and modeling of wifi signal based human activity recognition

W Wang, AX Liu, M Shahzad, K Ling, S Lu - Proceedings of the 21st …, 2015 - dl.acm.org
Some pioneer WiFi signal based human activity recognition systems have been proposed.
Their key limitation lies in the lack of a model that can quantitatively correlate CSI dynamics …

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 …

RT-Fall: A real-time and contactless fall detection system with commodity WiFi devices

H Wang, D Zhang, Y Wang, J Ma… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents the design and implementation of RT-Fall, a real-time, contactless, low-
cost yet accurate indoor fall detection system using the commodity WiFi devices. RT-Fall …

Device-free human activity recognition using commercial WiFi devices

W Wang, AX Liu, M Shahzad, K Ling… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Since human bodies are good reflectors of wireless signals, human activities can be
recognized by monitoring changes in WiFi signals. However, existing WiFi-based human …

E-eyes: Device-free location-oriented activity identification using fine-grained WiFi signatures

Y Wang, J Liu, Y Chen, M Gruteser, J Yang… - Proceedings of the 20th …, 2014 - dl.acm.org
Activity monitoring in home environments has become increasingly important and has the
potential to support a broad array of applications including elder care, well-being …

Keystroke recognition using wifi signals

K Ali, AX Liu, W Wang, M Shahzad - Proceedings of the 21st annual …, 2015 - dl.acm.org
Keystroke privacy is critical for ensuring the security of computer systems and the privacy of
human users as what being typed could be passwords or privacy sensitive information. In …

A survey on wireless indoor localization from the device perspective

J Xiao, Z Zhou, Y Yi, LM Ni - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
With the marvelous development of wireless techniques and ubiquitous deployment of
wireless systems indoors, myriad indoor location-based services (ILBSs) have permeated …