UM
EV-Human: Human localization via visual estimation of body electronic interference
Li, Xinfeng1; Teng, Jin1; Zhai, Qiang1; Zhu, Junda2; Xuan, Dong1; Zheng, Yuan F.2; Zhao, Wei3
2013
Conference Name32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
Source PublicationProceedings - IEEE INFOCOM
Pages500-504
Conference Date4 14, 2013 - 4 19, 2013
Conference PlaceTurin, Italy
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
AbstractHuman 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. © 2013 IEEE.
DOI10.1109/INFCOM.2013.6566823
Language英语
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Dept. of Computer Science and Engineering, Ohio State University, United States;
2.Dept. of Electrical and Computer Engineering, Ohio State University, United States;
3.University of Macau, China
Recommended Citation
GB/T 7714
Li, Xinfeng,Teng, Jin,Zhai, Qiang,et al. EV-Human: Human localization via visual estimation of body electronic interference[C]//Institute of Electrical and Electronics Engineers Inc.,2013:500-504.
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