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公开(公告)号：US20240169851A1
公开(公告)日：2024-05-23
申请号：US18515941
申请日：2023-11-21
Inventor： Seong Whan LEE , Gi Hwan SHIN , Young Seok KWEON , Heon Gyu KWAK , Ha Na JO
CPC classification number: G09B5/02 , A61B5/374 , A61B5/6803
Abstract: Disclosed is an apparatus for memory enhancement based on electroencephalogram according to one embodiment of the present invention. According to the present invention, it is possible to identify forgotten items during retrieval in a re-learning process based on a user's brain signals measured in an initial learning process by means of a brain signal measurement unit capable of measuring brain signals, and provide the user with repetitive learning depending on the user's electrophysiological characteristics, resulting in a more effective enhancement of memory.
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Patent Agency Ranking
公开(公告)号：US20250068925A1
公开(公告)日：2025-02-27
申请号：US18800792
申请日：2024-08-12
Inventor： Seong Whan LEE , Kang YIN , Hye Bin SHIN , Byeong Hoo LEE
Abstract: A generative inter-subject transfer learning apparatus includes: a data input unit for receiving source data and target data; a preprocessing unit for removing outliers from the source data and augmenting data; a first encoding unit for generating a feature vector of the source data received from the preprocessing unit and a feature vector of the target data; a generation unit for generating transfer data by reconfiguring the feature vector of the source data, and trained so that a domain of the source data follows a domain of the target data; a second encoding unit for generating a feature vector of the transfer data; and a classification unit for classifying the feature vector of the transfer data generated by the second encoding unit, and trained so that a classification result of the transfer data matches a classification result of the source data.
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公开(公告)号：US20240194179A1
公开(公告)日：2024-06-13
申请号：US18199670
申请日：2023-05-19
Inventor： Seong Whan LEE , Young Eun LEE , Seo Hyun LEE , Soo Won KIM , Sang Ho KIM , Byung Kwan KO , Ji Won LEE , Jung Sun LEE
IPC: G10L13/027 , G06F3/01 , G10L13/047 , G10L15/26 , G10L25/18
CPC classification number: G10L13/027 , G06F3/015 , G10L13/047 , G10L15/26 , G10L25/18
Abstract: The present invention relates to a method and an apparatus for synthesizing the voice based on brain waves during imagined speech. The method for synthesizing the voice based on brain waves during imagined speech according to an embodiment of the present invention may include the following steps: a step to obtain the user's brain waves during imagined speech; a step to convert the above-mentioned brain waves of imagined speech into embedding vectors; a step to generate the mel-spectrograms based on the above-mentioned embedding vectors; a step to generate the voice using the above-mentioned mel-spectrograms; a step to output the above-mentioned voice.
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4.发明公开公开(公告)号：US20240176421A1
公开(公告)日：2024-05-30
申请号：US18524096
申请日：2023-11-30
Inventor： Seong Whan LEE , Ji Won LEE , Seo Hyun LEE , Soowon KIM , Jung Sun LEE
IPC: G06F3/01 , G10L15/02 , G10L15/18 , G10L21/0208
CPC classification number: G06F3/015 , G10L15/02 , G10L15/18 , G10L21/0208 , G10L2015/027
Abstract: Disclosed is an apparatus for performance improvement in multimodal communication according to one embodiment of the present invention.
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5.发明公开公开(公告)号：US20240188868A1
公开(公告)日：2024-06-13
申请号：US18364575
申请日：2023-08-03
Inventor： Seong Whan LEE , Dong Young KIM , Dong-Kyun HAN , Woo Jeoung NAM
IPC: A61B5/18 , A61B5/00 , A61B5/16 , B60R16/023
CPC classification number: A61B5/18 , A61B5/165 , A61B5/7267 , B60R16/023
Abstract: A method of classifying, by an apparatus including a processor and a memory, a subject-independent driver state according to an embodiment of the present disclosure may include (a) learning a state classification model that receives one or more drivers' bio-signal data from a database to output the drivers' state classification (b) receiving a new driver's bio-signal, (c) preprocessing the received new driver's bio-signal, and (d) inputting the preprocessed new driver's bio-signal to the state classification model to output the driver's state classification result, wherein the bio-signal is at least one of an electroencephalogram (EEG), an electrooculogram (EOG), an electrocardiogram (ECG), and a photoplethysmogram (PPG).
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公开(公告)号：US20240169208A1
公开(公告)日：2024-05-23
申请号：US18515872
申请日：2023-11-21
Inventor： Seong Whan LEE , Heon Gyu KWAK , Young Seok KWEON , Gi Hwan SHIN , Ha Na JO
IPC: G06N3/0895 , G06N3/045 , G16H50/20 , G16H50/30
CPC classification number: G06N3/0895 , G06N3/045 , G16H50/20 , G16H50/30
Abstract: An automatic sleep stage classification system for reducing the variation in performance between users using a contrastive learning method according to one embodiment of the present invention includes: a user terminal that measures a user's biosignal and preprocesses the user's measured biosignal; and a classification server that receives the user's preprocessed biosignal from the user terminal, extracts the user's unique biosignal feature, extracts a similar feature by comparing the user's extracted unique biosignal feature and the user's biosignal feature for contrastive learning, and classifies sleep stages based on the extracted similar feature, wherein the user's biosignal includes at least one of the user's electroencephalography (EEG), electrooculography (EOG), electrocardiogramalectromyography (EMG), respiratory effort signals, pulse, oxygen saturation (SpO2), and blood flow.
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