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FishView project finished and fishes of Baltic Sea are perhaps a bit happier

The goal of the FishView project was to make fishes happier by making sure that their swimming pathways are suitable for them. The goal was achieved by developing a new fish-shaped sensor and signal processing methods to provide measurements that measure environment similar to fishes themselves.
The bio-inspired lateral line sensor and developed methods are used to measure real fish passages.
The bio-inspired lateral line sensor and developed methods are used to measure real fish passages.

The FishView project has ended and a public version of its final dissemination report is available at:

 

We indeed hope that our technology will make fishes a bit happier - especially if they need to swim through human made fish passages.

The project was funded by the Academy of Finland and EU Horizon 2020 BONUS program and project participants were from three Baltic Sea countries: Finland, Estonia and Germany. The project results are now further developed in several recently launched projects and technology transfer to final products for biologists is under progress.

The main scientific results can be found from the following scientific articles:

  • Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression (K. Chen, J.A. Tuhtan, J.F. Fuentes-Perez, G. Toming, M. Musall, N. Strokina, J.-K. Kamarainen and M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 66, 2017. DOI: http://dx.doi.org/10.1109/TIM.2017.2658278
  • Joint Estimation of bulk flow velocity and angle using a lateral line probe (N. Strokina, J.-K. Kämäräinen, J.A. Tuhtan, J.F. Fuentes-Pérez, M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 65, 2016. DOI: http://dx.doi.org/10.1109/TIM.2015.2499019
  • Design and application of a fish-shaped lateral line probe for flow measurement (J. Tuhtan, J.F. Fuentes-Perez, N. Strokina, G. Toming, M. Musall, M. Noack, J.-K. Kämäräinen, M. Kruusmaa), In Review of Scientific Instruments, volume 87, 2016. DOI: http://dx.doi.org/10.1063/1.4946765
  • Flow feature extraction for underwater robot localization: preliminary results (N. Muhammad, N. Strokina, G. Toming, J.A. Tuhtan, J.-K. Kamarainen and M. Kruusmaa), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2015, Seattle (WA), USA

 

Links:

For more information:

  • Maarja Kruusmaa, Centre for Biorobotics, Tallinn University of Technology, Estonia
  • Jeffrey Tuhtan, SJE Ecohydraulic Engineering GmbH, Germany
  • Joni Kämäräinen, Signaalinkäsittely, Tampere University of Technology, Finland
News submitted by: Joni Kämäräinen
Keywords: science and research, about tut, image and communications, signal processing, machine learning, artificial intelligence, robotics, underwater, baltic sea