In-ear acoustic-based sleep activity recognition and sleep stage detection.

What is it about?

We leverage ubiquitous in-ear microphones on sleep earbuds to design a sleep monitoring system, named EarSleep, which interprets in-ear body sounds induced by various representative sleep events into sleep stages. EarSleep can recognize four-class body movements, three-class sound activities, and three-class sleep stages.

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Why is it important?

Sleep health plays an important role in people's daily lives. Compared with previous approaches, we only use a single sensing modality to achieve multiple sleep events/activities and establish a highly interpretable relationship between sleep events and sleep stages.

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