Personalized intelligent wake-up system and method based on multimodal deep neural network
US10083397B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2016 |
| Grant date | Sep 25, 2018 |
| Priority date | — |
| Expiry date | Jan 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B3/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for personalized intelligent wake-up system based on multimodal deep neural network comprises monitoring a sleeping status of a user; obtaining a current sleeping-stage of the user within a current time frame and a prediction of a next sleeping-stage of the user for a next time frame; correcting the current sleeping-stage of the user through combining the current sleeping-stage and the prediction of the next sleeping-stage; determining a wake up strategy for the current time frame; determining a relationship between each of a plurality of alarm impulses adopted to wake up the user and a corresponding reaction of the user; identifying a change in the current sleeping-stage for the current time frame; determining an alarm impulse to be triggered for waking up the user; and triggering the determined alarm impulse.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.