2nd International ICST Conference on Body Area Networks

Research Article

OsteoConduct: wireless body-area communication based on bone conduction

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  • @INPROCEEDINGS{10.4108/bodynets.2007.181,
        author={Lin Zhong and Dania El-Daye and Brett Kaufman and Nick Tobaoda and Tamer Mohamed and Michael Liebschner},
        title={OsteoConduct: wireless body-area communication based on bone conduction},
        proceedings={2nd International ICST Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2007},
        month={6},
        keywords={Bone conduction Body-area network Personal-area network.},
        doi={10.4108/bodynets.2007.181}
    }
    
  • Lin Zhong
    Dania El-Daye
    Brett Kaufman
    Nick Tobaoda
    Tamer Mohamed
    Michael Liebschner
    Year: 2007
    OsteoConduct: wireless body-area communication based on bone conduction
    BODYNETS
    ICST
    DOI: 10.4108/bodynets.2007.181
Lin Zhong1, Dania El-Daye2, Brett Kaufman1, Nick Tobaoda2, Tamer Mohamed1, Michael Liebschner2
  • 1: Dept. of Electrical & Computer Engineering Rice University 6100 Main St, Houston, TX 77005
  • 2: Dept. of Bioengineering Rice University 6100 Main St, Houston, TX 77005

Abstract

We present OsteoConduct, a novel technology that leverages the human musculoskeletal system to transmit data and interface users in a low-power, secure, non-intrusive fashion. OsteoConduct employs a mechanical stimulus in form of patterned acoustic vibration, generated by human users or external stimulators, and a low-cost receiver, as simple as an accelerometer or microphone. It is particularly suitable for low data rate communication between implantable or wearable devices, especially as a secure and low-power alternative to wireless body-area network technologies, such as Bluetooth. In support, we provide an extensive study of bone conduction characteristics and modulation schemes for digital data communication based on OsteoConduct. We present prototype designs and user studies for the applications of OsteoConduct in both body-area data communication and interfacing. Our experimental results demonstrate that mechanical stimuli can be reliably transmitted through the human musculoskeletal system with power consumption of multiple mW. We also show that excitations generated by human teeth clacks can be readily employed by users to interact with computers and body-area devices. The key components of our OsteoConduct prototypes are a low-power mechanical stimulator, sensor-based receivers, and signal processing techniques for robust data transmission.