Method and system for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks
US10636524B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2016 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Dec 2, 2038 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61M2230/63
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method for optimized wake-up strategy via sleeping stage prediction with recurrent neural networks is provided. The method comprises receiving a set of raw sensory data of a user's sleeping status; translating the set of raw sensory data into a plurality of sleeping stages; saving the plurality of sleeping stages as a history of sleeping stages; determining a current sleeping stage; predicting a plurality of future sleeping stages of the user in an upcoming interval; calculating a wakeup score of the current sleeping stage and a wakeup score of each future sleeping stage; determining an optimized sleeping stage for wake up based on the wakeup score through comparing the wakeup score of the current sleeping stage and the wakeup scores of the future sleeping stages; and triggering an alarm impulse to wake up the user at the optimized sleeping stage for wake up.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.