Spontaneous device association using inaudible audio signatures

Hannu Kukka, Pauli Marjakangas, Vili Kellokumpu, Timo Ojala

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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 languageEnglish
Title of host publicationProceedings of Audio Mostly 2016
Subtitle of host publicationA Conference on Interaction with Sound, AM 2016
PublisherAssociation for Computing Machinery ACM
Pages91-96
Number of pages6
ISBN (Electronic)978-1-4503-4822-5
DOIs
Publication statusPublished - 4 Oct 2016
MoE publication typeA4 Article in a conference publication
EventAudio Mostly 2016, AM 2016 - Norrkoping, Sweden
Duration: 4 Oct 20166 Oct 2016

Conference

ConferenceAudio Mostly 2016, AM 2016
CountrySweden
CityNorrkoping
Period4/10/166/10/16

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Keywords

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

Cite this

Kukka, H., Marjakangas, P., Kellokumpu, V., & Ojala, T. (2016). Spontaneous device association using inaudible audio signatures. In Proceedings of Audio Mostly 2016: A Conference on Interaction with Sound, AM 2016 (pp. 91-96). [2986420] Association for Computing Machinery ACM. https://doi.org/10.1145/2986416.2986420