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Synchronizing Connection-Oriented Distributed Sensor Network Using Bluetooth Low Energy with Unmodified Android Device

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

Neuromotor training program are recommended as part of essential activity programs for older adults. With the growth of wearable sensor technology, wearable sensor provides a low-cost monitoring method for objective exercise assessment. Customized remote sensors combination with off-the-shelf smart phone provides a high performance and low-cost monitoring platform. A connection-oriented sensor network with Bluetooth Low Energy (BLE) provides high bandwidth encrypted communication. With multiple remotes sensors, synchronization between sensors is fundamental. However, the accuracy with the generic BLE time service is limited. In this paper, we present a novel method that can potentially synchronize multiple sensors with an unmodified Android Device. The method is based on timestamping the Connection Event (Anchor Point) on the Slave side. The results show an absolute error is below 1 ms across two sensors, which is ideal for motion sensing.

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Author information

Authors and Affiliations

  1. Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK

    Jianjia Ma & Massimiliano Zecca

  2. School of Science and Technology, Nottingham Trent University, Nottingham, UK

    Daniele Magistro

  3. National Centre for Sport and Exercise Medicine, East Midlands, Loughborough, Leicestershire, LE11 3TU, UK

    Massimiliano Zecca

Authors
  1. Jianjia Ma
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  2. Daniele Magistro
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  3. Massimiliano Zecca
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Corresponding author

Correspondence to Massimiliano Zecca .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Lorenzo Masia

  2. Scuola Superiore Sant’Anna, Translational Neural Engineering Area, The BioRobotics Institute, Pisa, Italy

    Silvestro Micera

  3. Department of Biomedical Engineering, University of Houston, Cullen College of Engineering, Houston, TX, USA

    Metin Akay

  4. Spanish National Research Council (CSIC), Cajal Institute, Madrid, Spain

    José L. Pons

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Ma, J., Magistro, D., Zecca, M. (2019). Synchronizing Connection-Oriented Distributed Sensor Network Using Bluetooth Low Energy with Unmodified Android Device. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_65

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_65

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

  • eBook Packages: EngineeringEngineering (R0)

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