Bfp: Behavior-Free Passive Motion Detection Using PHY Information

  title={Bfp: Behavior-Free Passive Motion Detection Using PHY Information},
  author={Wenyuan Liu and Xi Gao and Lin Wang and Danyang Wang},
  journal={Wireless Personal Communications},
Device-free passive motion detection seeks to monitor whether there are people moving in an area of interest -the detected individual neither carrying any device nor actively participating in the detection process. This has a very desirable application in mobile computing, such as smart space, asset security, border protection, etc. Many recent works focus on motion detection via WLAN due to its advantages in deployment flexibility, coverage and energy efficiency. However, these don’t consider… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 21 references

FIMD: Fine-grained Device-free Motion Detection

2012 IEEE 18th International Conference on Parallel and Distributed Systems • 2012
View 11 Excerpts
Highly Influenced

RASID: A robust WLAN device-free passive motion detection system

2012 IEEE International Conference on Pervasive Computing and Communications • 2012
View 7 Excerpts
Highly Influenced

MonoPHY: Mono-stream-based device-free WLAN localization via physical layer information

2013 IEEE Wireless Communications and Networking Conference (WCNC) • 2013
View 3 Excerpts

Pilot: Passive Device-Free Indoor Localization Using Channel State Information

2013 IEEE 33rd International Conference on Distributed Computing Systems • 2013
View 2 Excerpts

A novel motion-detection and edge-detection algorithm based on motion estimation

Z. Liu, Z. Li, G. Li, X. Zhang, H. Zhang
INFOCOM , 2011 Proceedings IEEE • 2012
View 1 Excerpt

A visual hand motion detection algorithm for wheelchair motion. In Human–computer systems interaction: Backgrounds and applications 2 (pp. 433–452)

T. Luhandjula, K. Djouani, Y. Hamam, B. J. van Wyk, Q. Williams
View 1 Excerpt

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