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Hydromast: A Bioinspired Flow Sensor with Accelerometers

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Biomimetic and Biohybrid Systems (Living Machines 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9793))

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Abstract

Fish have developed advanced hydrodynamic sensing capabilities using neuromasts, a series of collocated inertial sensors distributed over their body. We have developed the hydromast, an upscaled version of this sensing modality in order to facilitate near bed sensing for aquatic systems. Here we introduce the concept behind this bioinspired flow sensing device as well as the first results from laboratory investigations.

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References

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Author information

Authors and Affiliations

  1. Centre for Biorobotics, Tallinn University of Technology, Akadeemia tee 15a-111, 12618, Tallinn, Estonia

    Asko Ristolainen, Jeffrey Andrew Tuhtan & Maarja Kruusmaa

  2. Eliko Competence Centre, Mäealuse 2/1, 12618, Tallinn, Estonia

    Alar Kuusik

Authors
  1. Asko Ristolainen
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  2. Jeffrey Andrew Tuhtan
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  3. Alar Kuusik
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  4. Maarja Kruusmaa
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Corresponding author

Correspondence to Asko Ristolainen .

Editor information

Editors and Affiliations

  1. University of Bristol , Bristol, United Kingdom

    Nathan F. Lepora

  2. Universitat Pompeu Fabra , Barcelona, Spain

    Anna Mura

  3. University of Lincoln , London, United Kingdom

    Michael Mangan

  4. Universitat Pompeu Fabra , Barcelona, Spain

    Paul F.M.J. Verschure

  5. Heriot-Watt University , Edinburgh, United Kingdom

    Marc Desmulliez

  6. University of Sheffield , Sheffield, United Kingdom

    Tony J. Prescott

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© 2016 Springer International Publishing Switzerland

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Ristolainen, A., Tuhtan, J.A., Kuusik, A., Kruusmaa, M. (2016). Hydromast: A Bioinspired Flow Sensor with Accelerometers. In: Lepora, N., Mura, A., Mangan, M., Verschure, P., Desmulliez, M., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2016. Lecture Notes in Computer Science(), vol 9793. Springer, Cham. https://doi.org/10.1007/978-3-319-42417-0_55

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  • DOI: https://doi.org/10.1007/978-3-319-42417-0_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42416-3

  • Online ISBN: 978-3-319-42417-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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