Work

A Study of Fish Bite Data Collection System Using Acceleration Sensor for Sabiki Fishing

Year: 2025

Type: article

Abstract: In this letter, we conduct an initial verification to see if it is possible to detect a fish bite and estimate the water depth of a fishing rig using acceleration data obtained from a device attached to a fishing rod in the case of Sabiki fishing. We developed a prototype of a fish bite data collection system using an off‐the‐shelf and low‐performance device. Through experimental evaluations, we showed the possibility of detecting fish bites using acceleration data. In addition, we confirmed that the smallest mean absolute error of water depth estimation of our proposed system is 0.131 m. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Source: IEEJ Transactions on Electrical and Electronic Engineering

DOI: 10.1002/tee.70035

Authors: Yoshiaki Taniguchi, Takuto Harada, Shun Kawahara

Institution: Kindai University

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Life below water

Open Access status: hybrid

Estimated APC paid: $2,900