A Spatio-Temporal Attention-Based Model for Infant Movement Assessment from Videos

The absence or abnormality of fidgety movements of joints or limbs is strongly indicative of cerebral palsy in infants. Developing computer-based methods for assessing infant movements in videos is pivotal for improved cerebral palsy screening. Most existing methods use appearance-based features and...

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Bibliographic Details
Main Authors:	Badawi, N. (Author), Le, V. (Author), Morgan, C. (Author), Nguyen-Thai, B. (Author), Tran, T. (Author), Venkatesh, S. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	Appearance based area under the curve Article artifact attention attention mechanism, human pose Attention mechanisms Australia Background clutter body movement cerebral palsy Cerebral Palsy Computer-based methods controlled study Convolutional networks convolutional neural network Convolutional neural networks cross-sectional study deep learning diagnostic test accuracy study Diseases Electronic assessment fidgety movement general movements assessment human Humans infant Infant Interpretability joint function Joints (anatomy) limb major clinical study Movement movement (physiology) neck receiver operating characteristic sensitivity and specificity shoulder sigmoid Spatio temporal spatiotemporal analysis spatio-temporal graph convolutional network Spatio-temporal graphs training trunk videorecording
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A Spatio-Temporal Attention-Based Model for Infant Movement Assessment from Videos

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