Concentration improvement training method based on brain waves

Abstract

The invention discloses a concentration improvement training method based on brain waves, which comprises the following steps: S1, a user wears brain wave monitoring equipment on the head, and the brain wave monitoring equipment collects brain wave data of the user in real time; s2, a brain wave monitoring module in the brain wave monitoring equipment preprocesses the brain wave data collected in the S1; the brain wave data of the user is monitored in real time, the concentration level of the user is analyzed through the AI algorithm, the training content and difficulty are automatically adjusted, immersive concentration training experience is provided in combination with the VR / AR technology, personalized training can be carried out according to the actual situation of the user, and the training method is scientific, systematic and high in practicability. The concentration level of the user can be effectively improved, and the training effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of concentration improvement training, and particularly relates to a concentration improvement training method based on brain waves. Background Art

[0002] With the accelerating pace of modern society, people are facing more and more cognitive pressures. Concentration has become a key factor affecting work and learning efficiency. Traditional concentration training methods often rely on psychological counseling or self-adjustment, lacking scientific and systematic evaluation and training means, resulting in unsatisfactory training effects. Therefore, we propose a concentration improvement training method based on brain waves. Summary of the Invention

[0003] Based on the technical problems existing in the background art, the present invention proposes a concentration improvement training method based on brain waves.

[0004] A concentration improvement training method based on brain waves proposed by the present invention includes the following steps:

[0005] S1: The user wears a brain wave monitoring device on the head, and the brain wave monitoring device collects the user's brain wave data in real time;

[0006] S2: The brain wave monitoring module in the brain wave monitoring device preprocesses the brain wave data collected in S1;

[0007] S3: The AI analysis module uses AI algorithms to analyze the brain wave data output by the brain wave monitoring module in S2, identify the patterns of the user's decreased concentration, evaluate the current concentration level, and generate adjustment suggestion parameters;

[0008] S4: The training content adjustment module automatically adjusts the training content and difficulty according to the parameters generated by the AI analysis module and the current scene environment, ensures that the training process conforms to the user's cognitive state, and integrates all parameters to output VR / AR control instructions;

[0009] S5: After receiving the control instructions, the VR / AR training module provides an immersive training scene for the user according to the adjusted training content and difficulty, and records the data of the current user training record;

[0010] S6: The user can provide feedback at any time during the training process through the user feedback module. According to the feedback content, it is judged whether the training parameters need to be adjusted. When the training parameters need to be adjusted, they are fed back to the AI analysis module for analysis and the parameter adjustment is carried out through the training content adjustment module. When the training parameters do not need to be adjusted, the process ends.

[0011] Preferably, in S5, the VR / AR training module uses VR / AR technology to provide an immersive concentration training scenario for users. Users can perform various concentration training tasks in a virtual environment, including finding targets and memory tests, etc.

[0012] Preferably, in S2, the operations of the electroencephalogram monitoring module for data preprocessing include signal filtering and signal integration, etc.

[0013] Preferably, in S3, when it is evaluated that the user's concentration has decreased, the training difficulty can be increased or the training content can be changed to stimulate the user's attention.

[0014] Preferably, in S6, the user feedback module is used to record user feedback data and the record data generated by the system.

[0015] Compared with the existing technology, the beneficial effects of the present invention are:

[0016] By real-time monitoring of the user's electroencephalogram data, the present invention uses an AI algorithm to analyze the user's concentration level, automatically adjusts the training content and difficulty, combines VR / AR technology to provide an immersive concentration training experience, and can perform personalized training according to the actual situation of the user. This training method is scientific and systematic, can effectively improve the user's concentration level, and improve the training effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flowchart of a concentration improvement training method based on electroencephalogram proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following further explains the present invention with reference to specific embodiments.

[0019] Embodiment

[0020] Refer to Figure 1 , this embodiment proposes a concentration improvement training method based on electroencephalogram, including the following steps:

[0021] S1: The user wears an electroencephalogram monitoring device on the head, and the electroencephalogram monitoring device collects the user's electroencephalogram data in real time;

[0022] S2: The electroencephalogram monitoring module in the electroencephalogram monitoring device preprocesses the electroencephalogram data collected in S1, and its preprocessing operations include signal filtering and signal integration, etc.;

[0023] S3: The AI analysis module uses AI algorithms to analyze the brain wave data output by the brain wave monitoring module in S2, identify the patterns of the user's decreased concentration, evaluate the current concentration level, and generate adjustment suggestion parameters. When it is evaluated that the user's concentration has decreased, the training difficulty can be increased or the training content can be changed to stimulate the user's attention;

[0024] S4: The training content adjustment module automatically adjusts the training content and difficulty according to the parameters generated by the AI analysis module and the current scene environment, ensures that the training process conforms to the user's cognitive state, and integrates all parameters to output VR / AR control instructions;

[0025] S5: After receiving the control instructions, the VR / AR training module provides an immersive training scenario for the user according to the adjusted training content and difficulty, and records the data of the current user training record. The VR / AR training module uses VR / AR technology to provide an immersive concentration training scenario for the user. The user can perform various concentration training tasks in the virtual environment, including finding targets and memory tests, etc.;

[0026] S6: During the training process, the user can provide feedback at any time through the user feedback module. According to the feedback content, it is judged whether the training parameters need to be adjusted. When the training parameters need to be adjusted, the feedback is sent to the AI analysis module for analysis and the parameter adjustment is performed through the training content adjustment module. When the training parameters do not need to be adjusted, the process ends;

[0027] The user feedback module is used to record the user feedback data and the record data generated by the system;

[0028] This embodiment monitors the user's brain wave data in real time, uses AI algorithms to analyze the user's concentration level, automatically adjusts the training content and difficulty, combines VR / AR technology to provide an immersive concentration training experience, and can perform personalized training according to the actual situation of the user. This training method is scientific and systematic, and can effectively improve the user's concentration level and training effect.

[0029] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution of the present invention and its inventive concept, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

Claims

1. A method for improving concentration based on brain waves, characterized in that: The following steps are involved: S1: The user wears the EEG monitoring device on the head, and the EEG monitoring device collects the user's brain wave data in real time; S2: The brain wave monitoring module in the brain wave monitoring device pre-processes the brain wave data collected in S1; S3: The AI ​​analysis module uses AI algorithms to analyze the brain wave data output by the brain wave monitoring module in S2, identify the user's concentration decline pattern, evaluate the current concentration level, and generate adjustment suggestion parameters; S4: The training content adjustment module automatically adjusts the training content and difficulty according to the parameters generated by the AI ​​analysis module and the current scene environment to ensure that the training process is consistent with the user's cognitive state, integrates all parameters, and outputs VR / AR control instructions; S5: After receiving the control command, the VR / AR training module provides the user with an immersive training scene according to the adjusted training content and difficulty, and records the data of the current user's training record; S6: During the training process, the user can provide feedback at any time through the user feedback module, and determine whether the training parameters need to be adjusted based on the feedback content. If the training parameters need to be adjusted, the feedback is fed back to the AI ​​analysis module for analysis and the parameters are adjusted through the training content adjustment module. If the training parameters do not need to be adjusted, the training ends.

2. The method for improving concentration based on brain waves according to claim 1, characterized in that: In S5, the VR / AR training module uses VR / AR technology to provide users with an immersive concentration training scene, and users can perform various concentration training tasks in a virtual environment, including target finding and memory testing.

3. The method for improving concentration based on brain waves according to claim 1, characterized in that: In S2, the data preprocessing operations of the EEG monitoring module include signal filtering and signal integration.

4. The method for improving concentration based on brain waves according to claim 1, characterized in that: In S3, when it is assessed that the user's concentration is reduced, the training difficulty may be increased or the training content may be changed to stimulate the user's attention.

5. The method for improving concentration based on brain waves according to claim 1, characterized in that: In S6, the user feedback module is used to record user feedback data and recorded data generated by the system.

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