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Dolphin: Real-Time Hidden Acoustic Signal Capture with Smartphones

  • Man Zhou
  • , Qian Wang
  • , Kui Ren
  • , Dimitrios Koutsonikolas
  • , Lu Su
  • , Yanjiao Chen
  • Wuhan University
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

Dual-channel screen-camera communication has been proposed to enable simultaneous screen viewing and hidden screen-camera communication. However, it strictly requires a well-controlled camera-screen alignment and an obstacle-free access. In this paper, we propose Dolphin, a novel real-time acoustics-based dual-channel communication system. Leveraging masking effects of human auditory system and readily available audio signals, Dolphin enables real-time unobtrusive speaker-microphone data communication without affecting the primary audio-hearing experience of human users. Compared with screen-camera communication, Dolphin supports non-line-of-sight transmissions and more flexible speaker-microphone alignments. Dolphin can also automatically adapt the data rate to various channel conditions. We further develop a secure data broadcasting scheme on Dolphin, where only designated privileged users can recover the embedded information in the acoustic signals. Our Dolphin prototype, built using COTS (Commercial Off-The-Shelf) smartphones, realizes (potentially secure) real-time hidden information communication, supports up to 8-meter signal capture distance and ± 90° listening angle, and achieves an average goodput of 240 bps at 2 m.

Original languageEnglish
Article number8370653
Pages (from-to)560-573
Number of pages14
JournalIEEE Transactions on Mobile Computing
Volume18
Issue number3
DOIs
StatePublished - Mar 1 2019

Keywords

  • dual-mode communication
  • Speaker-microphone communication
  • unobtrusive acoustic communication

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