中国水产科学2026，Vol.33Issue(5)：1-12,12.DOI:10.12264/JFSC2025-0332
基于柔性传感器的鱼类摆尾行为识别量化
Quantification of fish wagging behavior recognition based on flexible sensor
摘要
Abstract
Traditional non-contact methods for monitoring fish behavior,including acoustic and optical approaches,have limitations in scenarios involving dense targets,obstructions,or concealment.To address this,this study proposes a fish behavior analysis and monitoring method utilizing a wearable flexible sensor.Based on fish behavioral characteristics and signal occurrence frequencies,a flexible strain sensor was designed and developed.It integrates thermoplastic polyurethane resistive strain-sensitive units,non-invasive adhesion,wireless signal transmission,and flexible circuitry.Visual synchronous acquisition was employed to analyze the time-frequency domain features of tail-flapping strain signals under different movement speeds.Data preprocessing methods,including smoothing and baseline correction,were investigated and determined.A data sampling strategy with a window size of 4 and a stride of 1 was adopted.To extract effective features,16 typical waveform signal characteristics,such as frequency center and waveform factor,were initially selected.To extract effective features,16 typical waveform characteristics,including frequency center and waveform factor,were initially selected.Based on random forest feature importance analysis,six core features were ultimately retained.Six analysis methods,including linear regression,random forest,XGBoost,LSTM,LightGBM,and SVM,were compared.Experimental results demonstrate that the wearable flexible strain sensor can effectively collect swimming data signals from crucian carp.Among the regression models evaluated,the random forest regression model demonstrated optimal performance,achieving a test set root mean square error(RMSE)of 0.0039 m/s and a coefficient of determination(R2)of 0.998,with excellent generalization stability(ΔRMSE=0.0010).The proposed method effectively overcomes the limitations of non-contact approaches,providing robust technical support for fish behavior research.关键词
柔性传感器/鱼类行为/机器学习Key words
flexible sensors/fish behavior/machine learning分类
农业科技引用本文复制引用
王振,刘世晶,刘晃..基于柔性传感器的鱼类摆尾行为识别量化[J].中国水产科学,2026,33(5):1-12,12.基金项目
农业农村部科技项目 （）
中国水产科学研究院中央级公益性科研院所基本科研业务费专项资金项目(2024XT0901). （2024XT0901）
