EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Intelligent sensing systems that integrate biological signals with machine learning open new opportunities to understand and replicate animal locomotion in natural environments. Conventional telemetry methods capture only limited variables and cannot reconstruct detailed kinematics or hydrodynamic c...

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Bibliografski detalji

Glavni autori:	Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2026-06-01
Serija:	Advanced Intelligent Systems
Teme:	biological signal processing electromyography (EMG) fish locomotion flow‐regime inference machine learning robotic fish
Online pristup:	https://doi.org/10.1002/aisy.202501085
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