Literature DB >> 35453000

Leaving flatland: Advances in 3D behavioral measurement.

Jesse D Marshall1, Tianqing Li2, Joshua H Wu3, Timothy W Dunn4.   

Abstract

Animals move in three dimensions (3D). Thus, 3D measurement is necessary to report the true kinematics of animal movement. Existing 3D measurement techniques draw on specialized hardware, such as motion capture or depth cameras, as well as deep multi-view and monocular computer vision. Continued advances at the intersection of deep learning and computer vision will facilitate 3D tracking across more anatomical features, with less training data, in additional species, and within more natural, occlusive environments. 3D behavioral measurement enables unique applications in phenotyping, investigating the neural basis of behavior, and designing artificial agents capable of imitating animal behavior.
Copyright © 2022 Elsevier Ltd. All rights reserved.

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Year:  2022        PMID: 35453000     DOI: 10.1016/j.conb.2022.02.002

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  2 in total

1.  Estimation of skeletal kinematics in freely moving rodents.

Authors:  Arne Monsees; Kay-Michael Voit; Damian J Wallace; Juergen Sawinski; Edyta Charyasz; Klaus Scheffler; Jakob H Macke; Jason N D Kerr
Journal:  Nat Methods       Date:  2022-10-17       Impact factor: 47.990

2.  Protocol for non-invasive assessment of spontaneous movements of group-housed animals using remote video monitoring.

Authors:  Alan David Marcus; Satyanarayana Achanta; Sven-Eric Jordt
Journal:  STAR Protoc       Date:  2022-04-14
  2 in total

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