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Found 4 papers, 4 papers with code
Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue
Non-nutritive sucking (NNS), which refers to the act of sucking on a pacifier, finger, or similar object without nutrient intake, plays a crucial role in assessing healthy early development.
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public Benchmark
Respiration is a critical vital sign for infants, and continuous respiratory monitoring is particularly important for newborns.
A Video-based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
Tested on our second, independent, and public NNS in-the-wild dataset, NNS recognition classification reaches 92. 3\% accuracy, and NNS segmentation achieves 90. 8\% precision and 84. 2\% recall.
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wild
We lay the groundwork for research in the algorithmic comprehension of infant faces, in anticipation of applications from healthcare to psychology, especially in the early prediction of developmental disorders.
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