Zebrafish behavior feature recognition using three-dimensional tracking and machine learning

Abstract In this work, we aim to construct a new behavior analysis method by using machine learning. We used two cameras to capture three-dimensional (3D) tracking data of zebrafish, which were analyzed using fuzzy adaptive resonance theory (FuzzyART), a type of machine learning algorithm, to identi...

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Auteurs principaux: Peng Yang, Hiro Takahashi, Masataka Murase, Motoyuki Itoh
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/ea991d4753e54cbc961e4218a969ae1d
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