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    IMAGE ANALYSIS APPARATUS USING MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE INCLUDING PREPROCESSING MODULES
    2.
    发明申请
    IMAGE ANALYSIS APPARATUS USING MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE INCLUDING PREPROCESSING MODULES 有权

    公开(公告)号：US20210133572A1

    公开(公告)日：2021-05-06

    申请号：US17091143

    申请日：2020-11-06

    Applicant: Korea Institute of Science and Technology

    Inventor： Kihwan CHOI ,  Jangho KWON ,  Laehyun KIM

    IPC: G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06K9/64

    Abstract: Disclosed herein is an image preprocessing/analysis apparatus using machine learning-based artificial intelligence. The image preprocessing apparatus includes a computing system, and the computing system includes: a processor; a communication interface configured to receive an input image; and an artificial neural network configured to generate first and second preprocessing conditions through inference on the input image. The processor includes a first preprocessing module configured to generate a first preprocessed image and a second preprocessing module configured to generate a second preprocessed image. The processor is configured to control the first preprocessing module, the second preprocessing module, the artificial neural network, and the communication interface so that the first preprocessed image and the second preprocessed image are transferred to an image analysis module configured to perform image analysis on the input image based on the first preprocessed image and the second preprocessed image.

    BIOSIGNAL-BASED AVATAR CONTROL SYSTEM AND METHOD
    3.
    发明申请
    BIOSIGNAL-BASED AVATAR CONTROL SYSTEM AND METHOD 有权

    公开(公告)号：US20210055794A1

    公开(公告)日：2021-02-25

    申请号：US16698380

    申请日：2019-11-27

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Song Joo LEE ,  Hyung Min KIM ,  Laehyun KIM ,  Keun Tae KIM

    IPC: G06F3/01 ,  A61B5/0488 ,  A61B5/0482 ,  G16H40/63

    Abstract: A biosignal-based avatar control system according to an embodiment of the present disclosure includes an avatar generating unit that generates a user's avatar in a virtual reality environment, a biosignal measuring unit that measures the user's biosignal using a sensor, a command determining unit that determines the user's command based on the measured biosignal, an avatar control unit that controls the avatar to perform the command, an output unit that outputs an image of the avatar in real-time, and a protocol generating unit for generating a protocol that provides predetermined tasks, and determines if the avatar performed the predetermined tasks. According to an embodiment of the present disclosure, it is possible to provide feedback in real-time by understanding the user's intention through analysis of biosignals and controlling the user's avatar in a virtual reality environment, thereby improving the user's brain function and motor function.

    APPARATUS FOR MOTOR IMAGERY TRAINING COMBINED WITH SOMATOSENSORY STIMULI AND OPERATION METHOD THEREOF
    4.
    发明公开
    APPARATUS FOR MOTOR IMAGERY TRAINING COMBINED WITH SOMATOSENSORY STIMULI AND OPERATION METHOD THEREOF 审中-公开

    公开(公告)号：US20240138748A1

    公开(公告)日：2024-05-02

    申请号：US18326242

    申请日：2023-05-31

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Laehyun KIM ,  Jihyeon HA ,  Sangin PARK ,  Da-hye KIM

    IPC: A61B5/00 ,  A61B5/372

    CPC classification number: A61B5/4005 ,  A61B5/372 ,  A61B5/7203

    Abstract: Disclosed is an apparatus for a motor imagery training, which includes a measuring unit that measures a brain signal while a user performs a motor imagery training, a preprocessing unit that performs preprocessing with respect to the brain signal, a feature extraction unit that selects a time period including information related to a motor imagery from the preprocessed brain signal and calculates feature data corresponding to the brain signal of the selected time period, and a classification unit that classifies the brain signal into one of a plurality of classes based on the feature data, and the motor imagery training is any one of a first training in which the user imagines moving a body part and a second training in which the user imagines feeling a somatosensory stimuli of a tangible object using the body part.

    APPARATUS AND METHOD FOR SELECTIVELY COLLECTING ELECTROENCEPHALOGRAM DATA THROUGH MOTION RECOGNITION
    5.
    发明申请
    APPARATUS AND METHOD FOR SELECTIVELY COLLECTING ELECTROENCEPHALOGRAM DATA THROUGH MOTION RECOGNITION 审中-公开
    通过运动识别选择电子数据数据的装置和方法

    公开(公告)号：US20150065907A1

    公开(公告)日：2015-03-05

    申请号：US14474486

    申请日：2014-09-02

    Applicant: Korea Institute of Science and Technology

    Inventor： Chungki LEE ,  Hoyeoul PARK ,  Jungchae KIM ,  Laehyun KIM ,  Gyu Hyun KWON ,  Byeongnam KIM

    IPC: A61B5/0478 ,  A61B5/11

    CPC classification number: A61B5/0478 ,  A61B5/1101 ,  A61B5/1124 ,  A61B5/1128 ,  A61B5/6803 ,  A61B5/6814

    Abstract: Disclosed is an apparatus for selectively collecting electroencephalogram (EEG) data through motion recognition including a motion recognition unit to recognize a motion of a user by analyzing an image taken through a camera, an EEG measurement unit installed at a head part of the user to measure an EEG of the user, and a control unit to control the EEG measurement unit to measure an EEG of the user during the recognized motion of the user and to generate an EEG data set based on the measured EEG, and a method using the apparatus.

    Abstract translation: 公开了一种用于通过运动识别来选择性地收集脑电图（EEG）数据的装置，包括运动识别单元，以通过分析通过相机拍摄的图像来识别用户的运动，安装在用户头部的EEG测量单元以测量 所述用户的脑电图，以及控制单元，用于控制所述EEG测量单元，以在所述用户的所识别的运动期间测量所述用户的EEG，并且基于所测量的EEG生成EEG数据集;以及使用所述装置的方法。

    METHOD FOR RECOGNIZING BLINK AND EYEBALL MOVEMENT BASED ON EEG AND SYSTEM THEREOF
    6.
    发明公开
    METHOD FOR RECOGNIZING BLINK AND EYEBALL MOVEMENT BASED ON EEG AND SYSTEM THEREOF 审中-公开

    公开(公告)号：US20240241581A1

    公开(公告)日：2024-07-18

    申请号：US18416665

    申请日：2024-01-18

    Applicant: AGENCY FOR DEFENSE DEVELOPMENT ,  KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Laehyun KIM ,  Yaeeun HAN ,  Jihyeon HA

    IPC: G06F3/01

    CPC classification number: G06F3/015

    Abstract: A method for recognizing blink and eye movement based on electroencephalogram (EEG) and a system thereof are disclosed. The method includes measuring a subject's EEG-based electrooculogram (EOG) signal (hereinafter referred to as “EOG signal”) using three electrodes connected to an EEG head cap. The method further includes performing potential blink detection and zero crossing detection using the EOG signal, and generating a plurality of parameters used for blink and eye movement classification using the EOG signal depending on presence or absence of the potential blink and the zero crossing. In addition, the method further includes classifying the blink and up/down/left/right eye movements of using the plurality of parameters.

    METHOD OF DETECTING ERP SIGNAL BASED ON HEART-RATE EVOKED POTENTIAL
    7.
    发明申请
    METHOD OF DETECTING ERP SIGNAL BASED ON HEART-RATE EVOKED POTENTIAL 有权

    公开(公告)号：US20230140375A1

    公开(公告)日：2023-05-04

    申请号：US17874563

    申请日：2022-07-27

    Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Sang In PARK ,  Ji Hyeon HA ,  Laehyun KIM

    IPC: A61B5/00 ,  A61B5/352 ,  A61B5/377

    Abstract: Provided are a method and apparatus for detecting an event-related potential (ERP), the method including: detecting an R-peak signal by detecting an electrocardiogram (ECG) signal of a subject via an ECG sensor; inducing an evoked potential to the subject by presenting an ERP stimulus to the subject at a certain period on basis of the R-peak signal; and detecting an electroencephalogram (EEG) signal of the subject exposed to the ERP stimulus by using an EEG sensor, and extracting an ERP signal from the EEG signal, wherein intermixture of a heart-rate evoked potential (HEP) of the subject with the ERP signal is inhibited by removing the ERP stimulus being presented to the subject during the certain period, after a latency by a certain time from a point in time the R-peak occurs.

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