Lullaby is a system designed to help users improve the quality of their sleep by monitoring environmental factors that disrupt sleep (currently light, sound, temperature, and motion) along with sleep quality itself (using commercial sleep trackers like the Fitbit) and providing feedback. To be practical for deployment into bedrooms, it is designed to be unobtrusive and inexpensive. It aims to respect users’ privacy in this sensitive context by providing them with the ability to selectively disable data collection and to review and delete collected data. Lullaby helps users identify relationships between sleep disruptions and environmental factors; in the future, we plan for Lullaby to give concrete recommendations for addressing identified sleep disruptors.

Lullaby consists of four components: the sensor suite, the data collection computer, a sleep tracking device, and a tablet interface for control and feedback. We are currently conducting evaluations of this study. Lullaby was funded by the UW Royalty Research Fund, Intel Labs Seattle, and an NSERC PhD fellowship.

Clockwise from top left: Closeup of a lullaby setup; the main screen, showing current sensor state; the history screen, showing the previous night's data (sleep and sensor data); the lullaby setup in context.


Lullaby: A Capture & Access System for Understanding the Sleep Environment
Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Ben Greenstein, Sunny Consolvo, Nathaniel F. Watson and Julie A. Kientz
International Conference on Ubiquitous Computing, 2012. Full Paper (PDF)
    Best Paper Award