Demonstrating SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability

Abstract

Widely-accepted sleep guidelines advise people about regular bedtimes and sleep hygiene. However, these standard guidelines are often little applicable to our real-life full of duty and responsibility. We propose SleepGuru, an individually actionable sleep planning system featuring one’s real-life compatibility and extended forecast. Leveraging wearable activity trackers and commercial mobile calendars, SleepGuru computes individually actionable multi-day sleep schedules that optimize the sleep timings and the user’s alertness levels subject to one’s real-life constraints. SleepGuru provides individual predictions and adjustability through a mobile-friendly user interface backed by a cloud-side optimization engine.