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公开(公告)号:US11227596B2
公开(公告)日:2022-01-18
申请号:US16600294
申请日:2019-10-11
Applicant: LG ELECTRONICS INC.
Inventor: Taeho Lee , Jaehong Kim , Hyoeun Kim , Hangil Jeong , Jongwoo Han , Doyoung Lee , Hyejeong Jeon , Dami Choe
Abstract: A laundry scheduling device according to an embodiment of the present invention includes an input interface that receives speech including a plurality of words respectively representing a plurality of laundry items from a use, and a processor that acquires one or more features represented by each of the plurality of words by inputting speech data corresponding to the received speech to a learning model and performing word embedding, and generates a laundry schedule of the plurality of laundry items based on the one or more features represented by each of the plurality of words.
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公开(公告)号:US11211079B2
公开(公告)日:2021-12-28
申请号:US16657137
申请日:2019-10-18
Applicant: LG ELECTRONICS INC.
Inventor: Jongwoo Han , Jaehong Kim , Hyoeun Kim , Taeho Lee , Hangil Jeong , Heeyeon Choi
IPC: G10L21/0208 , G10L17/02 , G10L17/18 , G10L17/04 , G10L15/02
Abstract: An AI device is provided. The AI device includes a memory to store data, a voice acquisition interface to acquire a voice signal, and a processor to perform preprocessing for the voice signal based on a parameter, to provide the preprocessed voice signal to a voice recognition model, to acquire a voice recognition result, to store a characteristic of the preprocessed voice signal in the memory, and to change the parameter using a distribution of characteristics of voice signals accumulated in the memory.
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公开(公告)号:US11867791B2
公开(公告)日:2024-01-09
申请号:US16605429
申请日:2019-06-14
Applicant: LG Electronics Inc.
Inventor: Jongwoo Han , Hyoeun Kim , Taeho Lee
CPC classification number: G01S11/14 , G01S5/30 , G05D1/0219 , G05D1/0221 , G06F3/165 , G06N3/08
Abstract: An embodiment of the present invention provides, comprising: a communication unit configured to communicate with a plurality of external AI apparatuses; and a processor configured to receive sound signals of the user from the plurality of external AI apparatuses, calculate a distance and a variation of the distance from each of the plurality of external AI apparatuses to the user based on the received sound signals, determine a current path of the user based on the calculated distance and the calculated variation of the distance, and determine a future path of the user based on the current path.
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公开(公告)号:US11384464B2
公开(公告)日:2022-07-12
申请号:US16600311
申请日:2019-10-11
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong Kim , Hyoeun Kim , Taeho Lee , Hangil Jeong , Jongwoo Han
IPC: D06F33/00 , D06F34/28 , D06F101/00
Abstract: Disclosed herein is a washing machine including a first data acquirer configured to collect data related to a laundry pattern of a user, a second data acquirer configured to collect data related to context information, and a processor configured to provide the laundry pattern of the user and the context information to a reinforcement learning model as an environment and to train the reinforcement learning model using feedback of the user on a recommended laundry course when the reinforcement learning model recommends the laundry course.
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公开(公告)号:US11663516B2
公开(公告)日:2023-05-30
申请号:US16653437
申请日:2019-10-15
Applicant: LG Electronics Inc.
Inventor: Jaehong Kim , Taeho Lee , Hangil Jeong , Jongwoo Han
CPC classification number: G06K9/6262 , G06K9/623 , G06K9/6256 , G06N3/08
Abstract: Disclosed herein an artificial intelligence apparatus for updating an artificial intelligence model including a memory configured to store an artificial intelligence model and training data for the artificial intelligence model and a processor configured to receive sensor data, calculate a confidence level of the received sensor data for the stored artificial intelligence model, label the received sensor data if the calculated confidence level is less than a reference value, store the labeled received sensor data in the memory as the training data or test data, and update the stored artificial intelligence model using the stored training data.
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公开(公告)号:US11379756B2
公开(公告)日:2022-07-05
申请号:US16388712
申请日:2019-04-18
Applicant: LG ELECTRONICS INC.
Inventor: Jongwoo Han , Jaehong Kim , Hyoeun Kim , Taeho Lee , Hangil Jeong , Beomsuk Moon , Hyejeong Jeon , Yoojin Choi
Abstract: Disclosed is a laundry scheduling apparatus. The apparatus includes a communication unit, an output unit, and a processor configured to pair with at least one washing machine via the communication unit, obtain laundry preference parameters of a user generated by learning based on at least one of a deep learning algorithm or a machine learning algorithm, using at least one of a laundry log of the user or laundry satisfaction information of the user as input data, generate laundry scheduling information by using washing machine information about the paired at least one washing machine, the laundry preference parameters, and laundry item information obtained via at least one of a user input unit, an interface unit, or a sensor, and cause the output unit to output the laundry scheduling information.
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公开(公告)号:US11126833B2
公开(公告)日:2021-09-21
申请号:US16547006
申请日:2019-08-21
Applicant: LG ELECTRONICS INC.
Inventor: Jaehong Kim , Taeho Lee , Hyejeong Jeon , Jongwoo Han
Abstract: An artificial intelligence apparatus for recognizing a user includes a camera, and a process configured to receive, via the camera, image data including a recognition target object, generate recognition information corresponding to the recognition target object from the received image data, calculate a confidence level of the generated recognition information, determine whether the calculated confidence level is greater than a reference value, if the calculated confidence level is greater than the reference value, perform a control corresponding to the generated recognition information, and if the calculated confidence level is not greater than the reference value, provide a feedback for the object recognition.
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公开(公告)号:US11578444B2
公开(公告)日:2023-02-14
申请号:US16526225
申请日:2019-07-30
Applicant: LG ELECTRONICS INC.
Inventor: Hyoeun Kim , Jaehong Kim , Taeho Lee , Hangil Jeong , Jongwoo Han
IPC: D06F33/00 , D06F35/00 , G05B13/02 , G06N3/04 , D06F103/16 , D06F101/06
Abstract: A laundry treatment device includes a washing module configured to perform operation related to washing, a camera configured to capture an image of a tag attached to a laundry, and a processor configured to acquire laundry information of a plurality of laundries, to convert the acquired laundry information into encoding data, and to acquire values of laundry control variables corresponding to the converted encoding data based on a laundry course learning model learned using a plurality of reference data through a deep learning algorithm.
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公开(公告)号:US11513478B2
公开(公告)日:2022-11-29
申请号:US16497760
申请日:2019-03-08
Applicant: LG ELECTRONICS INC.
Inventor: Hyoeun Kim , Jaehong Kim , Taeho Lee , Hangil Jeong , Jongwoo Han
Abstract: Disclosed is an artificial intelligence (AI) apparatus comprising: a short-range communication module configured for sensing a plurality of laundry treatment apparatuses positioned around the AI apparatus; and a processor configured for: acquiring laundry information about laundry and characteristic information of each of the detected laundry treatment apparatuses; determining a laundry group corresponding to the laundry, based on the acquired laundry information; comparing characteristic information of the determined laundry group and characteristic information of each of the plurality of laundry treatment apparatuses with each other; and determining a laundry treatment apparatus for washing the laundry among the plurality of laundry treatment apparatuses based on the comparison result.
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公开(公告)号:US11445265B2
公开(公告)日:2022-09-13
申请号:US16657733
申请日:2019-10-18
Applicant: LG ELECTRONICS INC.
Inventor: Taeho Lee , Boseop Kim
Abstract: An AI device is provided. The AI device includes a content output interface to output video data contained in content and voice data contained in the content, and a processor to control the content output interface to acquire a voice recognition result by providing, to a voice recognition model, content extraction information including at least one of video information acquired from the video data in the content or tag information of the content and the voice data, and control the content output interface to output the voice recognition result.
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