Spontaneous device association using inaudible audio signatures

Hannu Kukka; Pauli Marjakangas; Vili Kellokumpu; Timo Ojala

doi:10.1145/2986416.2986420

Spontaneous device association using inaudible audio signatures

Hannu Kukka
, Pauli Marjakangas
, Vili Kellokumpu
, Timo Ojala

Not published at VTT

University of Oulu

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

We describe a system that uses high-frequency audio signatures for spontaneous device association between mobile devices and physical end-points in smart environments. The system utilizes a method for extracting signatures from recorded audio signals, which we evaluated in two conditions: indoor, where background noise consists of workplace sounds, and urban, where the system is tested in a noisy outdoor setting. The system performed reliably both indoors (100% at distances up to 5 m) and outdoors (97.3%-100% at distances up to 5 m), and a slight performance drop was measured when the mobile device was allowed to move freely (89.2% indoors, 84.1% outdoors). Further, we evaluated the system's performance with an occluded receiver, and measured the battery consumption on the mobile device. Our system provides a practical and reliable means for ad-hoc service and object discovery in urban computing settings.

Original language	English
Title of host publication	Proceedings of Audio Mostly 2016
Subtitle of host publication	A Conference on Interaction with Sound, AM 2016
Publisher	Association for Computing Machinery ACM
Pages	91-96
Number of pages	6
ISBN (Electronic)	978-1-4503-4822-5
DOIs	https://doi.org/10.1145/2986416.2986420
Publication status	Published - 4 Oct 2016
MoE publication type	A4 Article in a conference publication
Event	Audio Mostly 2016, AM 2016 - Norrkoping, Sweden Duration: 4 Oct 2016 → 6 Oct 2016

Conference

Conference	Audio Mostly 2016, AM 2016
Country/Territory	Sweden
City	Norrkoping
Period	4/10/16 → 6/10/16

Funding

We gratefully acknowledge the support of the Academy of Finland (grant no. 268397) in funding this research.

Keywords

Audio
Device association
Device discovery
Device pairing
Smart environments
Smart space
Ubiquitous computing

Access to Document

10.1145/2986416.2986420

Cite this

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title = "Spontaneous device association using inaudible audio signatures",

abstract = "We describe a system that uses high-frequency audio signatures for spontaneous device association between mobile devices and physical end-points in smart environments. The system utilizes a method for extracting signatures from recorded audio signals, which we evaluated in two conditions: indoor, where background noise consists of workplace sounds, and urban, where the system is tested in a noisy outdoor setting. The system performed reliably both indoors (100\% at distances up to 5 m) and outdoors (97.3\%-100\% at distances up to 5 m), and a slight performance drop was measured when the mobile device was allowed to move freely (89.2\% indoors, 84.1\% outdoors). Further, we evaluated the system's performance with an occluded receiver, and measured the battery consumption on the mobile device. Our system provides a practical and reliable means for ad-hoc service and object discovery in urban computing settings.",

keywords = "Audio, Device association, Device discovery, Device pairing, Smart environments, Smart space, Ubiquitous computing",

author = "Hannu Kukka and Pauli Marjakangas and Vili Kellokumpu and Timo Ojala",

year = "2016",

month = oct,

day = "4",

doi = "10.1145/2986416.2986420",

language = "English",

pages = "91--96",

booktitle = "Proceedings of Audio Mostly 2016",

publisher = "Association for Computing Machinery ACM",

address = "United States",

note = "Audio Mostly 2016, AM 2016 ; Conference date: 04-10-2016 Through 06-10-2016",

}

Spontaneous device association using inaudible audio signatures. / Kukka, Hannu; Marjakangas, Pauli; Kellokumpu, Vili et al.
Proceedings of Audio Mostly 2016: A Conference on Interaction with Sound, AM 2016. Association for Computing Machinery ACM, 2016. p. 91-96 2986420.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Spontaneous device association using inaudible audio signatures

AU - Kukka, Hannu

AU - Marjakangas, Pauli

AU - Kellokumpu, Vili

AU - Ojala, Timo

PY - 2016/10/4

Y1 - 2016/10/4

N2 - We describe a system that uses high-frequency audio signatures for spontaneous device association between mobile devices and physical end-points in smart environments. The system utilizes a method for extracting signatures from recorded audio signals, which we evaluated in two conditions: indoor, where background noise consists of workplace sounds, and urban, where the system is tested in a noisy outdoor setting. The system performed reliably both indoors (100% at distances up to 5 m) and outdoors (97.3%-100% at distances up to 5 m), and a slight performance drop was measured when the mobile device was allowed to move freely (89.2% indoors, 84.1% outdoors). Further, we evaluated the system's performance with an occluded receiver, and measured the battery consumption on the mobile device. Our system provides a practical and reliable means for ad-hoc service and object discovery in urban computing settings.

AB - We describe a system that uses high-frequency audio signatures for spontaneous device association between mobile devices and physical end-points in smart environments. The system utilizes a method for extracting signatures from recorded audio signals, which we evaluated in two conditions: indoor, where background noise consists of workplace sounds, and urban, where the system is tested in a noisy outdoor setting. The system performed reliably both indoors (100% at distances up to 5 m) and outdoors (97.3%-100% at distances up to 5 m), and a slight performance drop was measured when the mobile device was allowed to move freely (89.2% indoors, 84.1% outdoors). Further, we evaluated the system's performance with an occluded receiver, and measured the battery consumption on the mobile device. Our system provides a practical and reliable means for ad-hoc service and object discovery in urban computing settings.

KW - Audio

KW - Device association

KW - Device discovery

KW - Device pairing

KW - Smart environments

KW - Smart space

KW - Ubiquitous computing

UR - https://www.scopus.com/pages/publications/84999232279

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M3 - Conference article in proceedings

AN - SCOPUS:84999232279

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EP - 96

BT - Proceedings of Audio Mostly 2016

PB - Association for Computing Machinery ACM

T2 - Audio Mostly 2016, AM 2016

Y2 - 4 October 2016 through 6 October 2016

ER -

Spontaneous device association using inaudible audio signatures

Abstract

Conference

Funding

Keywords

Access to Document

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Cite this