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RoomSense: an indoor positioning system for smartphones using active sound probing

Authors:

Seraina Buchmeier,

Gerhard TrösterAuthors Info & Claims

AH '13: Proceedings of the 4th Augmented Human International Conference

Pages 89 - 95

https://doi.org/10.1145/2459236.2459252

Published: 07 March 2013 Publication History

Abstract

We present RoomSense, a new method for indoor positioning using smartphones on two resolution levels: rooms and within-rooms positions. Our technique is based on active sound fingerprinting and needs no infrastructure. Rooms and within-rooms positions are characterized by impulse response measurements. Using acoustic features of the impulse response and pattern classification, an estimation of the position is performed. An evaluation study was conducted to analyse the localization performance of RoomSense. Impulse responses of 67 within-rooms positions from 20 rooms were recorded with the hardware of a smartphone. In total 5360 impulse response measurements were collected. Our evaluation study showed that RoomSense achieves a room-level accuracy of > 98% and a within-rooms positions accuracy of > 96%. Additionally, the implementation of RoomSense as an Android App is presented in detail. The RoomSense App enables to identify an indoor location within one second.

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Cited By

Luo WSong QYan ZTan RLin G(2024)Indoor Smartphone SLAM With Acoustic EchoesIEEE Transactions on Mobile Computing10.1109/TMC.2023.332339323:6(6634-6649)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3323393
Ren YLi SChen CLiu HYu JChen YYang HLi H(2024)Robust Indoor Location Identification for Smartphones Using Echoes From Dominant ReflectorsIEEE Transactions on Mobile Computing10.1109/TMC.2023.3307695(1-17)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3307695
Girgensohn APatel MBiehl J(2024)Radio-frequency-based indoor-localization techniques for enhancing Internet-of-Things applicationsPersonal and Ubiquitous Computing10.1007/s00779-020-01446-828:1(385-401)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s00779-020-01446-8
Show More Cited By

Index Terms

RoomSense: an indoor positioning system for smartphones using active sound probing
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Information

Published In

cover image ACM Other conferences

AH '13: Proceedings of the 4th Augmented Human International Conference

March 2013

254 pages

ISBN:9781450319041

DOI:10.1145/2459236

General Chair:
Albrecht Schmidt
University of Stuttgart, Germany
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics Saarbrücken, Germany
,
Christian Holz
Hasso Plattner Institute, Germany

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SimTech: SimTech
Universität Stuttgart: Universität Stuttgart

In-Cooperation

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2013

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Research-article

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Seventh Framework Programme

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AH'13

Sponsor:

SimTech
Universität Stuttgart

AH'13: 4th Augmented Human International Conference

March 7 - 8, 2013

Stuttgart, Germany

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AH '13 Paper Acceptance Rate 49 of 69 submissions, 71%;

Overall Acceptance Rate 121 of 306 submissions, 40%

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Cited By

Luo WSong QYan ZTan RLin G(2024)Indoor Smartphone SLAM With Acoustic EchoesIEEE Transactions on Mobile Computing10.1109/TMC.2023.332339323:6(6634-6649)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3323393
Ren YLi SChen CLiu HYu JChen YYang HLi H(2024)Robust Indoor Location Identification for Smartphones Using Echoes From Dominant ReflectorsIEEE Transactions on Mobile Computing10.1109/TMC.2023.3307695(1-17)Online publication date: 2024
https://doi.org/10.1109/TMC.2023.3307695
Girgensohn APatel MBiehl J(2024)Radio-frequency-based indoor-localization techniques for enhancing Internet-of-Things applicationsPersonal and Ubiquitous Computing10.1007/s00779-020-01446-828:1(385-401)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s00779-020-01446-8
Chhaglani BAcer UJang SKawsar FMin C(2023)CocoonProceedings of the 24th International Workshop on Mobile Computing Systems and Applications10.1145/3572864.3580340(89-95)Online publication date: 22-Feb-2023
https://dl.acm.org/doi/10.1145/3572864.3580340
Bian SLiu MZhou BLukowicz P(2022)The State-of-the-Art Sensing Techniques in Human Activity Recognition: A SurveySensors10.3390/s2212459622:12(4596)Online publication date: 17-Jun-2022
https://doi.org/10.3390/s22124596
Luo WSong QYan ZTan RLin GGummeson JLee SGao JXing G(2022)Indoor Smartphone SLAM with Learned Echoic Location FeaturesProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568510(489-503)Online publication date: 6-Nov-2022
https://dl.acm.org/doi/10.1145/3560905.3568510
Aparicio JAlvarez FHernandez AHolm S(2022)A Survey on Acoustic Positioning Systems for Location-Based ServicesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.321094371(1-36)Online publication date: 2022
https://doi.org/10.1109/TIM.2022.3210943
Yang ZWang YPan YHuan RLiang R(2022)Inaudible Sounds From Appliances as Anchors: A New Signal of Opportunity for Indoor LocalizationIEEE Sensors Journal10.1109/JSEN.2022.321109822:23(23267-23276)Online publication date: 1-Dec-2022
https://doi.org/10.1109/JSEN.2022.3211098
Dissanayake TMaekawa THara TMiyanishi TKawanabe M(2022)IndoLabel: Predicting Indoor Location Class by Discovering Location-Specific Sensor Data MotifsIEEE Sensors Journal10.1109/JSEN.2021.310291622:6(5372-5385)Online publication date: 15-Mar-2022
https://doi.org/10.1109/JSEN.2021.3102916
Roy PChowdhury C(2022)A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectivesCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-022-00089-34:3(298-318)Online publication date: 24-Jan-2022
https://doi.org/10.1007/s42486-022-00089-3
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