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Title
Japanese: 
English:Multi-Inlet Two-Dimensional Waterflow Vector Sensor Using a Sealed Incompressible Liquid and Neural Network for Marine Biologging 
Author
Japanese: Takuto Kishimoto, Kyota Shimada, Ryusei Ando, Kenei Matsudaira, 田中 博人, Hidetoshi Takahash.  
English: Takuto Kishimoto, Kyota Shimada, Ryusei Ando, Kenei Matsudaira, Hiroto Tanaka, Hidetoshi Takahash.  
Language English 
Journal/Book name
Japanese: 
English:IEEE Sensors Journal 
Volume, Number, Page        
Published date Jan. 23, 2025 
Publisher
Japanese: 
English: 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://ieeexplore.ieee.org/document/10851807
 
DOI https://doi.org/10.1109/JSEN.2025.3530523
Abstract This study designed and demonstrated a two-dimensional multi-inlet waterflow sensor to address challenges associated with measuring the swimming speeds of marine animals owing to size limits and harsh marine environmental conditions, such as clogging by marine debris. The sensor comprises a spherical housing equipped with three pairs of inlets on opposite sides, each connected to a differential pressure sensor element through a tube filled with an incompressible liquid. Notably, a sealed film placed over each inlet prevents marine debris from intruding into the sensor. The differential pressure data collected by the three sensor elements are used to determine two-dimensional waterflow speed and angle using a neural network trained on water tunnel experiments. The results of the experiments conducted in this study demonstrated that the developed sensor can accurately detect the waterflow speed and angle within a speed range of 0.6–2.0 m/s, which is typical of green turtles. Therefore, the proposed sensor is expected to realize improved biologging of marine animal behaviors.

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