Indoor localization without infrastructure using the acoustic background spectrum

Stephen Tarzia*, Peter A Dinda, Robert P. Dick, Gokhan Memik

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

165 Scopus citations

Abstract

We introduce a new technique for determining a mobile phone's indoor location even when Wi-Fi infrastructure is unavailable or sparse. Our technique is based on a new ambient sound fingerprint called the Acoustic Background Spectrum (ABS). An ABS serves well as a room fingerprint because it is compact, easily computed, robust to transient sounds, and surprisingly distinctive. As with other fingerprint-based localization techniques, location is determined by measuring the current fingerprint and then choosing the "closest" fingerprint from a database. An experiment involving 33 rooms yielded 69% correct fingerprint matches meaning that, in the majority of observations, the fingerprint was closer to a previous visit's fingerprint than to any fingerprints from the other 32 rooms. An implementation of ABS-localization called Batphone is publicly available for Apple iPhones. We used Batphone to show the benefit of using ABS-localization together with a commercial Wi-Fi-based localization method. In this second experiment, adding ABS improved room-level localization accuracy from 30% (Wi-Fi only) to 69% (Wi-Fi and ABS). While Wi-Fi-based localization has difficulty distinguishing nearby rooms, Batphone performs just as well with nearby rooms; it can distinguish pairs of adjacent rooms with 92% accuracy.

Original languageEnglish (US)
Title of host publicationMobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services and Co-located Workshops
Pages155-168
Number of pages14
DOIs
StatePublished - Aug 8 2011
Event9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops - Bethesda, MD, United States
Duration: Jun 28 2011Jul 1 2011

Publication series

NameMobiSys'11 - Compilation Proceedings of the 9th International Conference on Mobile Systems, Applications and Services and Co-located Workshops

Other

Other9th International Conference on Mobile Systems, Applications, and Services, MobiSys'11 and Co-located Workshops
CountryUnited States
CityBethesda, MD
Period6/28/117/1/11

Keywords

  • fingerprinting
  • localization
  • mobile systems
  • sound

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Communication

Fingerprint Dive into the research topics of 'Indoor localization without infrastructure using the acoustic background spectrum'. Together they form a unique fingerprint.

Cite this