KR-102962397-B1 - NEURO-BIOFEEDBACK TRAINING METHOD USING BIOLOGICAL RESPONSE DATA IN SPORTS GAME AND TRAINING DEVICE USING SAME

KR102962397B1KR 102962397 B1KR102962397 B1KR 102962397B1KR-102962397-B1

Abstract

A neuro-biofeedback training method according to one embodiment may include: a step of determining a type of training; a step of providing information indicating the start of training and presenting a plurality of mind control tasks at designated time intervals; a step of acquiring bio-response data including a user's brainwaves when each of the plurality of mind control tasks is performed; a step of identifying whether the bio-response data corresponds to an arousal state or a relaxation state required by each of the plurality of mind control tasks; a step of calculating a score based on the identification result; and a step of summing the acquired scores in response to performing all of the plurality of mind control tasks.

Inventors

황병훈

Assignees

주식회사 노이랩

Dates

Publication Date: 20260512
Application Date: 20221228

Claims (11)

A neuro-biofeedback training method based on a training device comprising a display configured to provide a training screen, a plurality of sensors attached to a part of a user's body, and a processor configured to acquire bio-response data from the plurality of sensors, The above processor determines the type of training among a plurality of trainings presented through the display according to user input; The above processor provides information indicating the start of training through the display and presents a plurality of mind control tasks at intervals of a specified time; The processor acquires bioresponse data including at least one of the user's brainwave, cerebral blood flow, heart rate, body temperature, blood pressure, respiratory state, and muscle tone when the user performs each of the plurality of mind control tasks; The above processor identifies whether the bio-response data corresponds to an arousal state or a relaxation state required for each of the plurality of mind control tasks; The above processor calculates a score based on the identification result; and The above processor includes a step of summing up the acquired scores in response to performing all of the plurality of mind control tasks, and The step of presenting each of the above multiple mind control tasks at intervals of a specified time is If the number of the aforementioned multiple mind control tasks remains, the processor identifies whether the time between the end time of the immediately preceding mind control task and the start time of the next mind control task to be presented has elapsed the specified time, and If the time between the above end time and the above start time does not exceed the above specified time, it is configured to wait until the above specified time has elapsed, and if the time between the above end time and the above start time has elapsed the above specified time, it is configured to present the next mind control task to be presented, Based on the above identification result, the step of calculating the score is: The processor calculates a score in response to the acquired bio-response data corresponding to the arousal state or the relaxation state required in each of the plurality of mind control tasks. Neuro-biofeedback training method.
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In paragraph 1, Based on the above identification result, the step of calculating the score is: The processor identifies, respectively, a first score obtained from a first mind control task corresponding to the awakened state and a second score obtained from a second mind control task corresponding to the relaxed state. Neuro-biological feedback training method.
In paragraph 3, The above processor further includes the step of repeatedly presenting the mind control task that obtained a lower score among the first mind control task and the second mind control task in response to identifying that the difference between the first score and the second score exceeds a threshold value. Neuro-biofeedback training method.
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In paragraph 1, The step of acquiring the above biological response data is, A first value for cerebral blood flow is obtained during the user's rest period, and While performing the above-mentioned plurality of mind control tasks, a second value for the user's brain blood flow is obtained, and In response to identifying that the difference between the first value and the second value is greater than 0, the user's state is identified as the relaxed state; in response to identifying that the difference between the first value and the second value is less than 0, the user's state is identified as the awake state; and in response to identifying that the difference between the first value and the second value is 0, the user's state is identified as the resting state. Neuro-biofeedback training method.
In paragraph 1, The above processor further includes the step of quantifying and presenting a mind control value as a score based on the summed score, and evaluating the user's motor ability through the quantified score. Neuro-biofeedback training method.
In paragraph 1, The step of identifying whether the above bio-response data corresponds to the arousal state or relaxation state required for each of the plurality of mind control tasks is: The processor constructs an arousal model and a relaxation model through deep learning, compares the bio-response data with the arousal model and the relaxation model, and identifies whether the bio-response data corresponds to the arousal model and the relaxation model. Neuro-biofeedback training method.
In paragraph 1, The above processor, Based on the determined type of training, determine the training time and the total number of multiple mind control tasks, and Counting time from the time the training started, and in response to the said counted time corresponding to the said training time, the training ends, Neuro-biofeedback training method.
In paragraph 1, Based on the above identification result, the step of calculating the score is: The above processor includes the step of calculating a score based on the time taken when each of the plurality of mind control tasks is performed. Neuro-biofeedback training method.
In a training device using a neuro-biofeedback training method, A display configured to provide a training screen; Multiple sensors attached to a part of the user's body; and The apparatus includes a processor configured to acquire bioresponse data from the plurality of sensors, including at least one of brainwaves, cerebral blood flow, heart rate, body temperature, blood pressure, respiratory status, and muscle tone of the user performing the training. The above processor is, Presents multiple training exercises to the user through the above display, determines the type of training according to the user's input, and Based on the determined type of training mentioned above, information indicating the start of the training is provided, and multiple mind control tasks are presented at intervals of a specified time, and If the number of the aforementioned multiple mind control tasks remains, it is determined whether the time between the end time of the immediately preceding mind control task and the start time of the next mind control task to be presented has elapsed the aforementioned specified time, and If the time between the above end time and the above start time does not exceed the above specified time, it is configured to wait until the above specified time has elapsed, and if the time between the above end time and the above start time has elapsed the above specified time, it is configured to present the next mind control task to be presented, When performing each of the above multiple mind control tasks, the user's bio-response data is obtained, and Identifying whether the above bio-response data corresponds to the arousal state or relaxation state required for each of the plurality of mind control tasks, and A score is calculated in response to the acquired bio-response data corresponding to the arousal state or the relaxation state required in each of the plurality of mind control tasks, and Based on the above identification results, calculate the score, and Configured to sum the scores obtained in response to performing all of the above multiple mind control tasks, Training device using a neuro-biofeedback training method.

Description

Neuro-biofeedback training method using bio-response data in sports games and training device using the same Various embodiments of the present disclosure relate to a neuro-biofeedback training method using bio-response data within a sports game and a training device using the same. Neurofeedback training is a method that analyzes brainwaves and/or cerebral blood flow resulting from measuring human brain function, and enables individuals to create a specific state through self-mind control. The psychological or cognitive activity state of the brain is observed through brainwaves and/or blood flow, allowing the trainee (user) to control the brain by shaping it into a desired state. Biofeedback is a method that utilizes biological data representing the function of the autonomic nervous system. The human autonomic nervous system can be divided into the sympathetic and parasympathetic nervous systems. The sympathetic and parasympathetic nervous systems can maintain a balance through mutual complementarity. The neuro-biofeedback method presents training that allows for the regulation of biological response data, such as brainwaves and/or cerebral blood flow. Through neuro-biofeedback, which provides information on physiological conditions such as brainwaves, blood flow, and muscle tension, an evaluation of a person's motor abilities can be performed. The neuro-biofeedback method can provide training that enhances the ability to mind-control biological response data, such as brainwaves and blood flow, in specific states. FIG. 1 illustrates a user performing a neuro-biofeedback training method according to one embodiment. FIG. 2 is a flowchart showing a system in which a neuro-bio feedback training method according to one embodiment is performed. FIG. 3 is a flowchart of a neuro-biofeedback training method according to one embodiment. FIG. 4 is a flowchart of the process of presenting a mind control task in a neuro-biofeedback training method according to one embodiment. FIG. 5 illustrates an example of a mind control task requiring an arousal state of a neuro-biofeedback training method according to one embodiment. FIG. 6 illustrates an example of a mind control task requiring a relaxed state of a neuro-biofeedback training method according to one embodiment. FIG. 7 is a flowchart of a method for identifying a user's state in a neuro-biofeedback training method according to one embodiment. Figure 8 is a graph showing the motor learning stages. FIG. 9a is a block diagram of a system for processing data acquired through a bio-response collection device. FIG. 9b is a diagram illustrating the operation of a training device analyzing an actual athlete. FIG. 9c is a diagram illustrating the operation of a training device analyzing a user. FIG. 10 is a diagram illustrating the process of selecting evaluation criteria for a biological response in a neuro-biofeedback training method according to one embodiment. FIG. 1 illustrates a user (U) performing a neuro-biofeedback training method according to one embodiment. Referring to FIG. 1, a neuro-biofeedback training method according to one embodiment can be performed using a bio-response collection device (10) configured to acquire bio-response data of a user (U) and a processor (25) that presents a mind control task. According to one embodiment, the bio-response collection device (10) may be configured to acquire bio-response data corresponding to the state of the user (U). For example, the user (U) may wear the bio-response collection device (10) on a part of the body (e.g., head) and perform training. The bio-response collection device (10) may acquire bio-responses including brain waves, electromyography, electrocardiography/pulse waves, cerebral blood flow, heart rate, skin resistance, body temperature, blood pressure, respiratory status, and/or muscle tension of the user (U) performing training. According to one embodiment, the bio-response collection device (10) may include a plurality of sensors (11) attached to a part of the user (U)'s body to acquire bio-response data of the user (U). For example, the plurality of sensors (11) may acquire bio-response data regarding the user (U)'s brain waves by detecting brain potentials generated in the user (U)'s brain. For example, the plurality of sensors (11) may include a device capable of using functional Near Infrared Spectroscopy (fNIRS) to non-invasively measure changes in blood flow in the brain. The plurality of sensors (11) may include electrodes attached to various parts of the user's (U) scalp and may measure spontaneous electrical activity generated in conjunction with the activity of neurons in the brain. For example, the plurality of sensors (11) may detect electrical signals of the user's (U) heart to obtain bio-response data regarding the user's (U) respiration, pulse, and stress state. The processor (25) may be configured to obtain bio-response data obtained through the plurality of sensors (11) and to evalua