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Title:
SLEEPING ENVIRONMENT CONTROL DEVICE USING REINFORCEMENT LEARNING
Document Type and Number:
WIPO Patent Application WO/2019/172667
Kind Code:
A1
Abstract:
An embodiment of the present disclosure discloses a sleeping environment control device using reinforcement learning. The sleeping environment control device using reinforcement learning comprises: a main body where a user may be positioned; a sensor unit for measuring a biometric signal of the user so as to generate current state information and post-operation state information; an operation unit for controlling at least one from among the temperature and the humidity of the main body in order to change a sleeping state of the user on the basis of a control signal of a processor; the processor including at least one core; and a memory for storing program codes executable in the processor, wherein the processor comprises: a sleeping adequacy information generation module for generating current sleeping adequacy information of the user on the basis of the current state information and generating post-operation sleeping adequacy information of the user on the basis of the post-operation state information; an operation information determination module for determining operation information for controlling the operation of the operation unit on the basis of an operation determination algorithm on the basis of the current sleeping adequacy information; and an operation adequacy determination module for comparing the post-operation sleeping adequacy information with reference sleeping adequacy information and determining the adequacy of the operation so as to update the operation determination algorithm.

Inventors:
LEE JUNG WOO (KR)
LEE SANG JUN (KR)
LEE SANG EUN (KR)
Application Number:
PCT/KR2019/002635
Publication Date:
September 12, 2019
Filing Date:
March 07, 2019
Export Citation:
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Assignee:
LEE JUNG WOO (KR)
International Classes:
A47C31/12; A47C21/00; A47C31/00; A61B5/01; A61B5/024; A61B5/0476; A61B5/08; A61B5/11; G01W1/02; G16H20/00
Foreign References:
JP2017000211A2017-01-05
KR101813591B12017-12-29
KR20120051125A2012-05-22
KR20170114753A2017-10-16
KR101763302B12017-07-31
KR100791371B12008-01-07
Attorney, Agent or Firm:
LEE, Dae Ho et al. (KR)
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