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.

Abstract: The present disclosure relates to technology that controls a remote moving body based on collaboration between the moving body and human, and a method for controlling a moving body includes acquiring a first biosignal indicating an intention to start operation of the moving body from a user, operating the moving body, determining a surrounding situation of the moving body that autonomously controls the driving, providing the user with surrounding information of the moving body for inducing path setting, acquiring a second biosignal evoked by recognition of the surrounding information from the user, setting a driving direction of the moving body, commanding the moving body to automatically perform a driving operation to be carried out in the set driving direction, and acquiring a third biosignal responsive to recognition of a driving error from the user and correcting the driving direction of the moving body to induce driving path resetting.

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.

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.

Abstract: The present disclosure relates to technology that controls a robot based on brain-computer interface, and a robot control method acquires a first biosignal indicating an intention to start the operation of the robot from a user to operate the robot, provides the user with visual stimulation of differently set signal cycles corresponding to a plurality of objects for which the robot executes motions, acquires a second biosignal evoked by the visual stimulation from the user to identify an object selected by the user, and acquires a third biosignal corresponding to a motion for the identified object from the user to induce the robot to execute the corresponding motion.

Abstract: The present disclosure relates to technology that controls a remote moving body based on collaboration between the moving body and human, and a method for controlling a moving body includes acquiring a first biosignal indicating an intention to start operation of the moving body from a user, operating the moving body, determining a surrounding situation of the moving body that autonomously controls the driving, providing the user with surrounding information of the moving body for inducing path setting, acquiring a second biosignal evoked by recognition of the surrounding information from the user, setting a driving direction of the moving body, commanding the moving body to automatically perform a driving operation to be carried out in the set driving direction, and acquiring a third biosignal responsive to recognition of a driving error from the user and correcting the driving direction of the moving body to induce driving path resetting.

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.

Abstract: The present disclosure relates to technology that controls a robot based on brain-computer interface, and a robot control method acquires a first biosignal indicating an intention to start the operation of the robot from a user to operate the robot, provides the user with visual stimulation of differently set signal cycles corresponding to a plurality of objects for which the robot executes motions, acquires a second biosignal evoked by the visual stimulation from the user to identify an object selected by the user, and acquires a third biosignal corresponding to a motion for the identified object from the user to induce the robot to execute the corresponding motion.

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.

Abstract: An automated classification apparatus includes a 3D (three dimensional) Inception-Resnet block structure, a global average pooling structure and a fully connected layer. The 3D Inception-Resnet block structure includes a 3D Inception-Resnet structure configured to receive 3D medical image of a patient's shoulder and extract features from the 3D medical image and 3D Inception-Downsampling structure configured to downsample information of a feature map including the features. The global average pooling structure is configured to operate an average pooling for an output of the 3D Inception-Resnet block structure. The fully connected layer is disposed after the 3D global average pooling structure. The automated classification apparatus is configured to automatically classify the 3D medical image into a plurality of categories.

Abstract: A method for registering a tooth image with a tooth structure according to an embodiment includes a first registering step for registering a tooth image model obtained from a medical image taken when an object bites a bite including a marker with a bite scanning model obtained by scanning the bite, a second registering step for registering the bite scanning model with a tooth scanning model obtained by scanning a tooth shape of the object, and a third registering step for registering the tooth image model with the tooth scanning model based on the results of the first registering step and the results of the second registering step. As a result, a model including an accurate shape of tooth part difficult to obtain from a medical imaging apparatus can be easily obtained.

Abstract: A motion control system includes a first capsule robot, which includes a first housing, a first shaft configured to be movable bi-directionally, the first shaft having a first permanent magnet at an outer end, a first leg unit configured to protrude outwards from the first housing, and a first control unit; and a second capsule robot, which includes a second housing, a second shaft configured to be movable bi-directionally, the second shaft having a second permanent magnet at an outer end, a second leg unit, and a second control unit, wherein the first capsule robot is fixed with respect to an the internal organ wall by protruding the first leg unit to the internal organ, and wherein the second capsule robot is connected to the first capsule robot as the first permanent magnet comes into contact with the second permanent magnet by an attractive force.

Abstract: A method for registering a tooth image with a tooth structure according to an embodiment includes a first registering step for registering a tooth image model obtained from a medical image taken when an object bites a bite including a marker with a bite scanning model obtained by scanning the bite, a second registering step for registering the bite scanning model with a tooth scanning model obtained by scanning a tooth shape of the object, and a third registering step for registering the tooth image model with the tooth scanning model based on the results of the first registering step and the results of the second registering step. As a result, a model including an accurate shape of tooth part difficult to obtain from a medical imaging apparatus can be easily obtained.

Abstract: Exemplary embodiments relate to a system for customized addiction therapy based on a bio signal, including a sensor configured to measure a bio signal from a user, a state determining unit configured to determine a user state based on the measured bio signal, a cognitive behavioral therapy image determining unit configured to determine a cognitive behavioral therapy image based on the determined user state, and an image providing unit configured to provide the determined cognitive behavioral therapy image to the user, and its method.

Abstract: A motion control system includes a first capsule robot, which includes a first housing, a first shaft configured to be movable bi-directionally, the first shaft having a first permanent magnet at an outer end, a first leg unit configured to protrude outwards from the first housing, and a first control unit; and a second capsule robot, which includes a second housing, a second shaft configured to be movable bi-directionally, the second shaft having a second permanent magnet at an outer end, a second leg unit, and a second control unit, wherein the first capsule robot is fixed with respect to an the internal organ wall by protruding the first leg unit to the internal organ, and wherein the second capsule robot is connected to the first capsule robot as the first permanent magnet comes into contact with the second permanent magnet by an attractive force.

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: A remote control apparatus that provides haptic sensations. The remote control apparatus includes a dial, a motor, a rotary encoder, an encoder counter, a control unit and a motor controller. The remote control apparatus further includes a storage unit, a movement detection unit and a display unit. When a user selects an icon displayed on the display unit by rotating the dial, the control unit interprets the user instruction through the rotary encoder and the encoder counter to control the motor to generate torque for causing a haptic sensation corresponding to the interpreted instruction via the motor controller. While the haptic sensation is conveyed to the user through the dial, the control unit controls an appliance to perform the interpreted instruction thereon.

Abstract: A method and system for assessing a user reputation and/or a content reliability on contents sharing web sites is provided. In one embodiment, the method includes defining a networked association between users based on social activity information related to the users' social activities on a contents sharing web site, the users' social activities including social activities between the users and/or social activities of the users on the contents sharing web site; obtaining a link relation for at least one of the users based on the networked association; and computing a user reputation for the at least one of the users based on the link relation. The method may further include computing a content reliability of the at least one user-created contents based on the computed user reputation.

Abstract: A remote control apparatus that provides haptic sensations. The remote control apparatus includes a dial, a motor, a rotary encoder, an encoder counter, a control unit and a motor controller. The remote control apparatus further includes a storage unit, a movement detection unit and a display unit. When a user selects an icon displayed on the display unit by rotating the dial, the control unit interprets the user instruction through the rotary encoder and the encoder counter to control the motor to generate torque for causing a haptic sensation corresponding to the interpreted instruction via the motor controller. While the haptic sensation is conveyed to the user through the dial, the control unit controls an appliance to perform the interpreted instruction thereon.

Abstract: A method and system for assessing a user reputation and/or a content reliability on contents sharing web sites is provided. In one embodiment, the method includes defining a networked association between users based on social activity information related to the users' social activities on a contents sharing web site, the users' social activities including social activities between the users and/or social activities of the users on the contents sharing web site; obtaining a link relation for at least one of the users based on the networked association; and computing a user reputation for the at least one of the users based on the link relation. The method may further include computing a content reliability of the at least one user-created contents based on the computed user reputation.