2017
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
ICML 2017poster
We focus on predicting sleep stages from radio measurements without any attached sensors on subjects. We introduce a new predictive model that combines convolutional and recurrent neural networks to extract sleep-specific subject-invariant features from RF signals and capture the temporal progressio…