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NeuroscienceExperimental Neurobiology
Peer-reviewed journal article

AVATAR: AI Vision Analysis for Three-dimensional Action in Real-time

Dae-Gun Kim, Anna ShiniD, Yong-Cheol Jeong, Changbum Ko, Junesu Lee, Seahyung Park, Daesoo KimiD

Abstract

Artificial intelligence (AI) is an emerging tool for high-resolution behavioural analysis and conduction of human-free behavioural experiments. Here, we applied an AI-based system, AVATAR, which automatically virtualises 3D motions from the detection of 9 body parts. This allows quantification, classification and detection of specific action sequences in real-time and facilitates closed-loop manipulation, triggered by the onset of specific behaviours, in freely moving mice.

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02 /Specification & Classification

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