Literature DB >> 23594816

Imaging dipole flow sources using an artificial lateral-line system made of biomimetic hair flow sensors.

Ahmad Dagamseh1, Remco Wiegerink, Theo Lammerink, Gijs Krijnen.   

Abstract

In Nature, fish have the ability to localize prey, school, navigate, etc., using the lateral-line organ. Artificial hair flow sensors arranged in a linear array shape (inspired by the lateral-line system (LSS) in fish) have been applied to measure airflow patterns at the sensor positions. Here, we take advantage of both biomimetic artificial hair-based flow sensors arranged as LSS and beamforming techniques to demonstrate dipole-source localization in air. Modelling and measurement results show the artificial lateral-line ability to image the position of dipole sources accurately with estimation error of less than 0.14 times the array length. This opens up possibilities for flow-based, near-field environment mapping that can be beneficial to, for example, biologists and robot guidance applications.

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Year:  2013        PMID: 23594816      PMCID: PMC3645425          DOI: 10.1098/rsif.2013.0162

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  11 in total

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Authors:  W Stürzl; R Kempter; J L van Hemmen
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Review 3.  How the ear's works work: mechanoelectrical transduction and amplification by hair cells.

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5.  Object localization through the lateral line system of fish: theory and experiment.

Authors:  Julie Goulet; Jacob Engelmann; Boris P Chagnaud; Jan-Moritz P Franosch; Maria D Suttner; J Leo van Hemmen
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2007-12-04       Impact factor: 1.836

6.  MEMS based hair flow-sensors as model systems for acoustic perception studies.

Authors:  Gijs J M Krijnen; Marcel Dijkstra; John J van Baar; Siripurapu S Shankar; Winfred J Kuipers; Rik J H de Boer; Dominique Altpeter; Theo S J Lammerink; Remco Wiegerink
Journal:  Nanotechnology       Date:  2006-01-25       Impact factor: 3.874

7.  Arthropod touch reception: spider hair sensilla as rapid touch detectors.

Authors:  J T Albert; O C Friedrich; H E Dechant; F G Barth
Journal:  J Comp Physiol A       Date:  2001-05       Impact factor: 1.836

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Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

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Authors:  S Coombs; J J Finneran; R A Conley
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-09-29       Impact factor: 6.237

10.  Source level discrimination by the lateral line system of the mottled sculpin, Cottus bairdi.

Authors:  S Coombs; R R Fay
Journal:  J Acoust Soc Am       Date:  1993-04       Impact factor: 1.840

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  6 in total

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Authors:  Mohsen Asadnia; Ajay Giri Prakash Kottapalli; Jianmin Miao; Majid Ebrahimi Warkiani; Michael S Triantafyllou
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

Review 2.  A Review of Artificial Lateral Line in Sensor Fabrication and Bionic Applications for Robot Fish.

Authors:  Guijie Liu; Anyi Wang; Xinbao Wang; Peng Liu
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3.  Using fish lateral line sensing to improve seismic acquisition and processing.

Authors:  Franscisco Wilton de Freitas Silva; Sérgio Luiz Eduardo Ferreira da Silva; Marcos Vinícius Cândido Henriques; Gilberto Corso
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4.  Nanofibril scaffold assisted MEMS artificial hydrogel neuromasts for enhanced sensitivity flow sensing.

Authors:  Ajay Giri Prakash Kottapalli; Meghali Bora; Mohsen Asadnia; Jianmin Miao; Subbu S Venkatraman; Michael Triantafyllou
Journal:  Sci Rep       Date:  2016-01-14       Impact factor: 4.379

5.  Three-dimensional multi-source localization of underwater objects using convolutional neural networks for artificial lateral lines.

Authors:  Ben J Wolf; Jos van de Wolfshaar; Sietse M van Netten
Journal:  J R Soc Interface       Date:  2020-01-22       Impact factor: 4.118

6.  Research on an Artificial Lateral Line System Based on a Bionic Hair Sensor with Resonant Readout.

Authors:  Bo Yang; Ting Zhang; Zhuoyue Liang; Chengfu Lu
Journal:  Micromachines (Basel)       Date:  2019-10-29       Impact factor: 2.891

  6 in total

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