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 …
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 …
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 …
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 …
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 …
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 …
With the marvelous development of wireless techniques and ubiquitous deployment of wireless systems indoors, myriad indoor location-based services (ILBSs) have permeated …
Z Yang, Z Zhou, Y Liu - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal …
J Zhang, Z Tang, M Li, D Fang, P Nurmi… - Proceedings of the 24th …, 2018 - dl.acm.org
We present CrossSense, a novel system for scaling up WiFi sensing to new environments and larger problems. To reduce the cost of sensing model training data collection …