Paper Info
Title
Ev-Human: Human Localization Via Visual Estimation Of Body Electronic Interference
Abstract
Human localization is an enabling technology for many mobile applications. As more and more people carry mobile phones with them, we can now localize a person by localizing his mobile phone. However, it is observed that presence of human bodies introduces heavy interference to mobile phone signals. This has been one of the major causes of inaccurate wireless localization for humans. In this paper, we propose using video cameras to help estimate human body's interference on mobile device's signals. We combine human orientation detection and human/phone/AP relative position inference estimation to better measure how a human blocks or reflects wireless signals. We have also developed a signal distortion compensation model. Based on these technologies, we have implemented a human localization system called EV-Human. Real world experiments show that our EV-system can accurately and robustly localize humans.
Year
DOI
Venue
2013
10.1109/INFCOM.2013.6566823
2013 PROCEEDINGS IEEE INFOCOM
Keywords
Field
DocType
wireless communication,interference,mobile computing,visualization,mobile communication
Mobile computing,Computer vision,Wireless,Mobile phone tracking,Computer science,Mobile device,Phone,Interference (wave propagation),Artificial intelligence,Mobile phone,Distortion
Conference
ISSN
Citations 
PageRank 
0743-166X
8
0.49
References 
Authors
8
7
Name
Order
Citations
PageRank
Xinfeng Li1625.86
Jin Teng234329.53
Qiang Zhai3132.28
Junda Zhu41038.88
Dong Xuan51877119.45
Yuan F. Zheng61073283.25
Wei Zhao73532404.01