Abstract: The present invention relates to a method for analyzing stress and managing individual mental health, using a HMD device. The method includes a calibration step for generating standard stress information by calibrating biosignals received from a plurality of biosignal sensors; a stress measurement content performance step for generating a stress guiding screen, measuring biometric data of user via generated stress guiding screen, and calculating stress measurement information of user by comparing the measured biometric data with at least one among the standard stress information and biosignals; and a stress analysis content performance step for extracting characteristics from the biometric data, and predicting a stress index of the user on the basis of the extracted characteristics, in which the standard stress information includes an initial stress index, and reference value for specific emotions.

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.

Abstract: A method 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 may comprise the steps of: 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.

Abstract: An apparatus for more accurately stimulating a living body comprises: a stimulation unit configured to apply a bio-stimulation signal in vicinity to a living body, the bio-stimulation signal being composed of pieces of time-series data having a specific frequency; and a control unit configured to derive bio-stimulation information required to achieve targeted bio-information using time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal, and derive a relation between the bio-stimulation signal and the bio-responses, and control the stimulation unit to apply the bio-stimulation signal in response to the derived bio-stimulation information. The relation is configured to set the bio-stimulation information as variables in an X matrix (m, t), set the bio-response information as variables in a Y matrix (n, t), and derive an A matrix (n, m) satisfying Y=AX.

Abstract: An apparatus for more accurately stimulating a living body comprises: a stimulation unit configured to apply a bio-stimulation signal in vicinity to a living body, the bio-stimulation signal being composed of pieces of time-series data having a specific frequency; and a control unit configured to derive bio-stimulation information required to achieve targeted bio-information using time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal, and derive a relation between the bio-stimulation signal and the bio-responses, and control the stimulation unit to apply the bio-stimulation signal in response to the derived bio-stimulation information. The relation is configured to set the bio-stimulation information as variables in an X matrix (m, t), set the bio-response information as variables in a Y matrix (n, t), and derive an A matrix (n, m) satisfying Y=AX.

Abstract: Disclosed is a method of more accurately stimulating a living body and an apparatus using the method. The method includes determining targeted bio-information, deriving bio-stimulation information required to achieve the targeted bio-information using complicated time space data indicative of bio-responses interacting at a plurality of different positions in response to bio-stimulation composed of pieces of time-series data having a specific frequency, and applying a stimulation signal to the living body in response to the derived bio-stimulation information. The method is advantageous in that it can derive a systematic algorithm between bio-related information and stimulation information so that more accurate and safely stimulation is made upon applying bio-stimulation based on acquired bio-related information, can minimize a process of trial and error using a systematic algorithm, and can more accurately stimulate a living body by exactly determining a specific target stimulation position.

Abstract: A brain stimulating system is provided. In some embodiments, the system includes a first electrode configured to supply a minute electric current to stimulate a brain, and a second electrode configured to detect at least one brain signal received from a brain, wherein the second electrode includes a blocking filter configured to block the minute electric current.

Abstract: Disclosed is a method of more accurately stimulating a living body and an apparatus using the method. The method includes determining targeted bio-information, deriving bio-stimulation information required to achieve the targeted bio-information using complicated time space data indicative of bio-responses interacting at a plurality of different positions in response to bio-stimulation composed of pieces of time-series data having a specific frequency, and applying a stimulation signal to the living body in response to the derived bio-stimulation information. The method is advantageous in that it can derive a systematic algorithm between bio-related information and stimulation information so that more accurate and safely stimulation is made upon applying bio-stimulation based on acquired bio-related information, can minimize a process of trial and error using a systematic algorithm, and can more accurately stimulate a living body by exactly determining a specific target stimulation position.

Abstract: A system and method for brain signal management are provided. In some embodiments, a brain signal management system includes a detecting module configured to measure a first signal which indicates a state of a brain, and a controlling module configured to generate the second signal by transforming the first signal into the second signal in a time reversal order.