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WALRUS: wireless acoustic location with room-level resolution using ultrasound
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Source International Conference On Mobile Systems, Applications And Services archive
Proceedings of the 3rd international conference on Mobile systems, applications, and services table of contents
Seattle, Washington
SESSION: Location (here) table of contents
Pages: 191 - 203  
Year of Publication: 2005
ISBN:1-931971-31-5
Authors
Gaetano Borriello  University of Washington, Seattle, WA
Alan Liu  University of Washington, Seattle, WA
Tony Offer  University of Washington, Seattle, WA
Christopher Palistrant  University of Washington, Seattle, WA
Richard Sharp  Intel Research Cambridge, Cambridge UK
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
USENIX: USENIX Association
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we propose a system that uses the wireless networking and microphone interfaces of mobile devices to determine location to room-level accuracy. The wireless network provides a synchronizing pulse along with information about the room. This is accompanied by an ultrasound beacon that allows us to resolve locations to the confines of a physical room (since audio is mostly bounded by walls). We generate the wireless data and ultrasound pulses from the existing PCs in each room; a PDA carried by a user listens for both signals. Thus, our approach does not require special hardware. We do not use ultrasound to send data. As a result we dramatically reduce the computational burden on the mobile device while also decreasing the latency of location resolution. Our results indicate that (i) ultrasound detection is robust even in noisy environments with many reflective surfaces; and (ii) that we can determine the correct room within a couple of seconds with high probability even when the ultrasound emitting PCs are not synchronized.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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P. Bahl and V. N. Padmanabhan. RADAR: An In-Building RF-Based User Location and Tracking System, Proceedings of IEEE INFOCOM 2000, Vol. 2, pp. 775--784, March 2000.
 
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A. Madhavapeddy, D. Scott, R. Sharp. Context-aware computing with sound, 5th International Conference on Ubiquitous Computing (UbiComp 2003), September 2003.
 
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A. K. L. Miu. Design and Implementation of an Indoor Mobile Navigation System, SM Thesis, Massachusetts Institute of Technology, January 2002.
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Collaborative Colleagues:
Gaetano Borriello: colleagues
Alan Liu: colleagues
Tony Offer: colleagues
Christopher Palistrant: colleagues
Richard Sharp: colleagues