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A 3D virtual mouse generates synthetic training data for behavioral analysis

We develop a 3D synthetic animated mouse based on CT scans that is actuated using animation and semi-random, joint-constrained movements to generate synthetic behavioural data with ground-truth label locations. Image-domain translation produced realistic synthetic videos used to train 2D and 3D pose...

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Detalles Bibliográficos
Autores principales: Bolaños, Luis A., Xiao, Dongsheng, Ford, Nancy L., LeDue, Jeff M., Gupta, Pankaj K., Doebeli, Carlos, Hu, Hao, Rhodin, Helge, Murphy, Timothy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034498/
https://www.ncbi.nlm.nih.gov/pubmed/33820989
http://dx.doi.org/10.1038/s41592-021-01103-9
Descripción
Sumario:We develop a 3D synthetic animated mouse based on CT scans that is actuated using animation and semi-random, joint-constrained movements to generate synthetic behavioural data with ground-truth label locations. Image-domain translation produced realistic synthetic videos used to train 2D and 3D pose estimation models with accuracy similar to typical manual training datasets. The outputs from the 3D model-based pose estimation yielded better definition of behavioral clusters than 2D videos and may facilitate automated ethological classification.