Experimental NeurobiologyNeurosciencePeer-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.
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: trajectory inference
- research focus: differential expression
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 11th percentile
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