Abstract: An apparatus and a method for providing a user interface to support a cognitive function activity according to an exemplary embodiment of the present invention are provided.

Abstract: The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

Abstract: Provided are a method and device for predicting a user state according to an embodiment of the present invention. The method for predicting a user state according to an embodiment of the present invention comprises the steps of: acquiring first biometric data for a plurality of users; fine-tuning a prediction model on the basis of the first acquired biometric data and a fixed learning parameter; outputting a predicted user state using a fine-tuned prediction model by inputting a second biometric data for predicting the user state for predicting the user state for at least one user, wherein the fixed learning parameter is extracted on the basis of a first model that is different from the prediction model and trained to predict a user state for the plurality of users by inputting the first biometric data for the plurality of users.

Abstract: The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

Abstract: The present disclosure provides a method for determining preference implemented by a processor, comprising: providing image content to a user; receiving electroencephalogram (EEG) data and gaze data including a series of gaze position data or gaze speed data which is measured while the content is provided; determining the user's region of interest with respect to the content based on the gaze data; determining a saccade onset time based on the gaze data; extracting EEG data during a time period including the saccade onset time, based on the EEG data; and determining whether the user prefers the region of interest based on the EEG data during the time period, and a device for determining preference using the same.

Abstract: The present invention relates to an emotion recognition method implemented by a processor. Provided are an emotion recognition method and a device using the same, the emotion recognition method comprising: providing content to a user, receiving biosignal data of a user while the content is being provided, recognizing an emotion of the user with respect to the content by using an emotion classification model trained to classify emotions on the basis of a plurality of biosignal data labeled with emotions.

Abstract: The present disclosure provides a method for determining preference implemented by a processor, comprising: providing image content to a user; receiving electroencephalogram (EEG) data and gaze data including a series of gaze position data or gaze speed data which is measured while the content is provided; determining the user's region of interest with respect to the content based on the gaze data; determining a saccade onset time based on the gaze data; extracting EEG data during a time period including the saccade onset time, based on the EEG data; and determining whether the user prefers the region of interest based on the EEG data during the time period, and a device for determining preference using the same.

Abstract: Methods and systems for calibrating an eye-brain interface (EBI) system controlled on the basis of eye movements and brain waves according to one embodiment of the present invention are disclosed. A method includes: providing an eye-brain calibration (EBC) interface for calibrating eye movements and brain waves simultaneously, wherein the EBC interface includes a visual object and instructs a user to gaze into the visual object in a particular cognitive state; acquiring eye movements and brain waves of the user for the visual object included in the EBC interface; mapping the visual object and eye movements of the user; and mapping the particular cognitive state instructed to the user and brain waves of the user.

Abstract: Methods and systems for calibrating an eye-brain interface (EBI) system controlled on the basis of eye movements and brain waves according to one embodiment of the present invention are disclosed. A method includes: providing an eye-brain calibration (EBC) interface for calibrating eye movements and brain waves simultaneously, wherein the EBC interface includes a visual object and instructs a user to gaze into the visual object in a particular cognitive state; acquiring eye movements and brain waves of the user for the visual object included in the EBC interface; mapping the visual object and eye movements of the user; and mapping the particular cognitive state instructed to the user and brain waves of the user.

Abstract: Methods and systems for calibrating an eye-brain interface (EBI) system controlled on the basis of eye movements and brain waves according to one embodiment of the present invention are disclosed. A method includes: providing an eye-brain calibration (EBC) interface for calibrating eye movements and brain waves simultaneously, wherein the EBC interface comprises a visual object and instructs a user to gaze into the visual object in a particular cognitive state; acquiring eye movements and brain waves of the user for the visual object included in the EBC interface; mapping the visual object and eye movements of the user; and mapping the particular cognitive state instructed to the user and brain waves of the user.