most citedClassification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.MM2023★ 2 cited

Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data

Kai Chieh Chang, Mark Hasegawa-Johnson, Nancy L. McElwain +1

Infant sleep is critical to brain and behavioral development. Prior studies on infant sleep/wake classification have been largely limited to reliance on expensive and burdensome po…