公开(公告)号：US20200345969A1

公开(公告)日：2020-11-05

申请号：US16489903

申请日：2019-05-31

Applicant: LG Electronics Inc.

Inventor： Byunghun CHOI ,  Boemoh KIM

IPC: A61M21/02 ,  G16H40/60

Abstract: A hub of intelligent Internet of Things (IoT) for performing a light therapy using light irradiated by a light output device. The hub of intelligent IoT includes a sleep disorder reading unit determining whether a sleep disorder has occurred based on sleep pattern information; a control signal generator generating a control signal for controlling the light output device when it is determined that the sleep disorder has occurred; and a communication interface unit providing the control signal to the light output device. At least one device implementing the method of providing the intelligent voice recognition model may be associated with an artificial intelligence module, a unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.

公开(公告)号：US20200089653A1

公开(公告)日：2020-03-19

申请号：US16168415

申请日：2018-10-23

Applicant: LG ELECTRONICS INC.

Inventor： Gyuseog HONG ,  Taehwan KIM ,  Byunghun CHOI

IPC: G06F15/18 ,  G06N3/04 ,  A61B5/00

Abstract: Disclosed is a computer-implemented method for inputting sensing information to an ensemble model to obtain a final result value. The computer-implemented method includes obtaining pieces of sensing information associated with a biometric state, inputting the pieces of sensing information to an ensemble model which includes a plurality of models and combines result values output from the plurality of models to output the final result value, inputting first sensing information of the pieces of sensing information to a first model of the plurality of models, obtaining a first uncertainty of the first model by using at least one of an input value and an output value of the first model, and determining a first weight value of a first result value of the first model by using the first uncertainty, inputting second sensing information of the pieces of sensing information to a second model of the plurality of models, obtaining a second uncertainty of the second model by using at least one of an input value and an output value of the second model, and determining a second weight value of a second result value of the second model by using the second uncertainty, combining, by using the ensemble model, the first result value to which the first weight value is applied and a second result value to which the second weight value is applied to obtain the final result value, and performing an operation corresponding to the biometric state, based on the final result value.