The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review

•A wide variety of tracking and detection tools for computer vision-based GMA exist.•A “method-of-choice” for automated GMA does not yet exist.•Large expert-annotated valid datasets are urgently needed.•The prerequisites of classic GMA is indispensable for developing automated solutions.•A future au...

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Bibliographic Details
Published in:	Research in developmental disabilities Vol. 110; p. 103854
Main Authors:	Silva, Nelson, Zhang, Dajie, Kulvicius, Tomas, Gail, Alexander, Barreiros, Carla, Lindstaedt, Stefanie, Kraft, Marc, Bölte, Sven, Poustka, Luise, Nielsen-Saines, Karin, Wörgötter, Florentin, Einspieler, Christa, Marschik, Peter B.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.03.2021 Pergamon Press
Subjects:	Augmented general movement assessment Automation Cerebral palsy Cerebral Palsy - diagnosis Computer vision Computers Deep learning Developmental disorder Early detection General movements Humans Infancy Machine Learning Movement Neurodevelopment Neurologic Examination Pose estimation Deep learning Cerebral palsy Computer vision Automation Infancy Pose estimation Augmented general movement assessment Machine learning Neurodevelopment Developmental disorder General movements Early detection
ISSN:	0891-4222, 1873-3379, 1873-3379
Online Access:	Get full text
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