Attention training methods and equipment based on children's temperament

Abstract

This application provides a method and device for attention training based on children's temperament, comprising: acquiring children's temperament assessment results; acquiring training principles, training modes, interaction methods, and training content based on the children's temperament assessment results; generating differentiated training strategies based on the training principles, training modes, interaction methods, and training content; conducting attention training according to the differentiated training strategies and collecting EEG data in real time; calculating the current training state based on the EEG data; if the current training state does not meet the requirements for a focused state, acquiring a training intervention strategy based on the current training state and intervening in the training according to the training intervention strategy until the current training state meets the requirements for a focused state. This method can generate different training strategies for different children's temperaments to conduct attention training and intervene in the training process based on the current training state, thereby improving the training effect.

Description

Technical Field

[0001] This invention relates to the field of attention training technology, and in particular to attention training methods and equipment based on children's temperament. Background Technology

[0002] Existing attention training equipment mostly adopts a standardized training process, based on the same universal program. However, universal programs are difficult to apply to different individuals, especially when used for attention training in children. This can easily lead to training resistance and extremely low compliance, thus greatly reducing the training effect. Summary of the Invention

[0003] The technical problem to be solved by this invention is: how to generate a concentration training method suitable for different individuals.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A concentration training method based on children's temperament includes: Obtain the results of a children's temperament assessment, and based on the results, determine the training principles, training models, interaction methods, and training content. Generate differentiated training strategies based on the training principles, training modes, interaction methods, and training content; Focus training is conducted based on the differentiated training strategy described above, and EEG data is collected in real time. The current training state is calculated based on the EEG data. If the current training state does not meet the requirements of the focused state, a training intervention strategy is obtained based on the current training state, and the training is intervened according to the training intervention strategy until the current training state meets the requirements of the focused state.

[0005] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows: A child-based attention training device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the child-based attention training method described above.

[0006] The beneficial effects of this invention are as follows: it obtains training principles, training modes, interaction methods, and training content based on children's temperament assessment results and generates differentiated training strategies, that is, it can generate different training strategies for different children's temperaments to conduct focus training; and, during focus training, it collects EEG data in real time, judges the current training state based on the EEG data, and obtains training intervention strategies based on the current training state to intervene in the training process, thereby improving the training effect. Attached Figure Description

[0007] Figure 1 This is a flowchart illustrating the steps of a concentration training method based on children's temperament according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a concentration training device based on children's temperament according to an embodiment of the present invention. Detailed Implementation

[0008] Definitions:

[0009] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0010] Existing technologies typically employ a single, universal approach to focus training, failing to address the individual differences between individuals. Using a single EEG ratio to assess focus fails to identify the specific reasons for focus disturbances, thus lacking targeted intervention methods.

[0011] To address at least some of the aforementioned issues, this invention generates differentiated training strategies based on children's varying temperaments. During focus training, it collects EEG data in real time, analyzes the current training state using this data, and intervenes in the training process by acquiring intervention strategies when abnormalities are detected. In this way, both the generation of training strategies and the training process are optimized, making the training strategies more aligned with the individual child's temperament, leading to greater engagement during training, and ultimately improving the overall effectiveness of focus training.

[0012] The following details a concentration training method based on children's temperament, as described in this invention. Please refer to [link / reference]. Figure 1 The method 100 includes steps 101 to 104: Step 101: Obtain the child's temperament assessment results, and based on these results, obtain the training principles, training models, interaction methods, and training content. Specifically: The child's temperament assessment results can be obtained through a questionnaire, for example, by guiding the child to complete the questionnaire with parental guidance. The system assesses the child's temperament type based on the questionnaire results. The temperament types include: easy to raise, difficult to raise, slow to warm up, and intermediate. Then, training-related content is obtained based on the child's temperament type, as shown in Table 1.

[0013] Table 1. Training Flowchart for Differentiated Temperament Training

[0014] Among them, the "Difficult to Raise" model adopts a dedicated, screen-free, pure auditory mode, completely eliminating the need for screens and balancing eye protection with concentration training, thus addressing the pain point of screen dependence on existing devices. Simultaneously, it uses blinking for non-contact interaction, requiring no language or touchscreen, making it more suitable for introverted children who are less expressive. The interactive game + story dual-mode prevents training from becoming tedious.

[0015] Step 102: Generate differentiated training strategies based on the training principles, training modes, interaction methods, and training content. The focus training includes a unified component (unified eye care) and a differentiated component (focus training); for example: 2-minute zoom vision training → 4-minute eye exercises → focus training; the focus training component generates corresponding differentiated training strategies based on the content of Table 1.

[0016] Step 103: Conduct focus training according to the differentiated training strategy and collect EEG data in real time. Five different types of EEG signals can be obtained from the EEG data: , , , as well as .

[0017] Step 104: Calculate the current training state based on the EEG data. If the current training state does not meet the requirements for a focused state, obtain a training intervention strategy based on the current training state and intervene in the training according to the intervention strategy until the current training state meets the requirements for a focused state. That is, based on the data obtained in step 103... , , , as well as The signal is used to calculate the current training state, and the system determines in real time whether the training is in a focused state. If the training is not in a focused state, the system obtains and implements training intervention strategies until the training returns to a focused state.

[0018] As described above, the beneficial effects of this invention are as follows: Based on children's temperament assessment results, training principles, training modes, interaction methods, and training content are obtained, and differentiated training strategies are generated. The four major child temperaments are deeply integrated with concentration training. Different training strategies are generated for concentration training, specifically addressing the differentiated needs of difficult-to-manage resistant children, slow-to-warm-up introverted children, and easy-to-manage children with strong adaptability. During concentration training, brainwave data is collected in real time. Based on the brainwave data, the current training state is determined, and training intervention strategies are obtained based on the current training state to intervene in the training process, thereby improving the training effect. Furthermore, it integrates automatic zoom vision training and eye exercises, protecting children's vision throughout the process and meeting the needs of children's healthy growth.

[0019] In one embodiment of the present invention, step 104, calculating the current training state based on the EEG data, includes: calculating a focus index based on the EEG data, and determining whether the focus index is greater than a focus threshold. If so, the current training state is determined to satisfy the focus state; otherwise, the current training state is determined not to satisfy the focus state. The focus index is calculated based on the data obtained in step 103. , , , as well as The signal is used for calculation; when obtaining the attention threshold, 30 seconds of EEG data from the child at rest is collected as the initial attention baseline value (i.e., attention threshold). At the same time, this value is only used as a reference point, and the baseline data will be continuously adjusted in subsequent training, and the effectiveness of training will be determined by a chain comparison method.

[0020] As described above, by calculating the focus index and comparing it with the focus threshold, it is possible to effectively determine whether the person is currently in a focused state.

[0021] In one embodiment of the present invention, determining whether the focus index is greater than the focus threshold further includes: If the focus index is less than or equal to the focus threshold, then the excitement index and fatigue index are calculated; if the excitement index is greater than the excitement threshold, then the current training state is determined to be an excited state; if the fatigue index is greater than the fatigue threshold, then the current training state is determined to be a fatigued state. Step 104 involves intervening in the training according to the training intervention strategy until the current training state is a focused state. This includes: if the current training state is the excited state, triggering a binaural difference frequency audio with a first frequency difference until the current training state is a focused state; for example, if the first frequency is 10Hz, generating a binaural difference frequency audio with the right ear at 300Hz and the left ear at 310Hz based on 300Hz, playing it continuously for 30-60 seconds until the child re-enters a focused state and then resumes normal training audio, helping the child calm down and quickly enter a focused state. If the current training state is the fatigued state, triggering a binaural difference frequency audio with a second frequency difference until the current training state is a focused state; for example, if the second frequency is 30Hz, generating a binaural difference frequency audio with the right ear at 300Hz and the left ear at 330Hz based on 300Hz, playing it continuously for 20-40 seconds until the child re-enters a focused state and then resumes normal training audio, helping the child boost their spirits and restore their focus. The first frequency of 10Hz and the second frequency of 30Hz are the optimal values ​​obtained through experiments.

[0022] As described above, by constructing a multi-dimensional EEG assessment system, the three core states of children's focus, excitement, and fatigue during training can be accurately determined in real time, avoiding misjudgment based on a single indicator. At the same time, binaural differential frequency audio intervention is used for different states, which can quickly adjust children's state to a suitable focus range without drugs or stimulation, thereby improving training efficiency.

[0023] In one embodiment of the present invention, triggering the binaural difference frequency audio with a first frequency difference includes: obtaining a target audio frequency based on the child's temperament assessment results; and generating the binaural difference frequency audio from the target audio frequency based on the first frequency. Simultaneously, the first frequency and the second frequency can be fine-tuned based on the child's temperament assessment.

[0024] As described above, by generating the optimal difference frequency scheme based on different frequency references for different children's temperaments, it is possible to adapt to different children's temperaments and play an effective intervention role.

[0025] In one embodiment of the present invention, calculating the focus index based on the electroencephalogram (EEG) data includes: ; The higher the score, the stronger the focus; normalized to 0-100 points, ≥60 points indicates effective focus, and ≤40 points indicates distraction.

[0026] The calculation of the excitement index and fatigue index includes: ; Thresholds: E≥8.0 indicates over-excitement, requiring intervention; 5.0-7.9 is the appropriate level of focused excitement; ≤4.9 indicates low level of excitement. That is, when the training is intervened according to the above-mentioned training intervention strategy, and E falls back to the appropriate range of 5.0-7.9, normal training audio is restored.

[0027] ; Thresholds: F≥12.0 indicates severe fatigue, requiring intervention; 7.0-11.9 indicates mild fatigue; ≤6.9 indicates no fatigue; that is, when the training is intervened according to the above-mentioned training intervention strategy, normal training audio is restored when F drops back to ≤7.0.

[0028] Where P represents the focus index, E represents the excitement index, and F represents the fatigue index. , , , as well as These are five different types of brainwave signals distinguished by frequency. The algorithm in this embodiment is suitable for children aged 3-12. Without changing the core formula and logic, the algorithm parameters can be fine-tuned according to age groups to adapt to different age groups.

[0029] As described above, this embodiment, by constructing a multi-dimensional EEG assessment algorithm, can accurately calculate the child's focus, excitement, and fatigue during training. Compared with single-indicator monitoring, the misjudgment rate is reduced by 60%, and it can accurately match the child's real-time state, thereby achieving the assessment of focus and intervention in the training process.

[0030] In one embodiment of the present invention, after completing the focus training, the process includes: recording and storing the training results to obtain a historical training result set; and updating the training content based on the historical training result set. That is, after each training session, the training results are recorded, including data such as average focus level, focus duration percentage, number of excitement / fatigue interventions, and interaction response accuracy. Then, an AI model updates the training content based on the historical training result set. For example, by obtaining children's preferences through simple question-and-answer sessions (between children and parents), the story content is adjusted to guide children's interest; the game mode is changed to guide children's interest, etc.

[0031] As described above, by recording the training results after each training session and updating and adjusting the training content based on the results, the subsequent training content can better meet the developmental needs of children.

[0032] In one embodiment of the present invention, the method further includes generating visualization results based on the historical training result set. For example, visualization is performed based on data such as average focus level, focus duration percentage, number of excitement / fatigue interventions, and interaction response accuracy, generating charts such as line graphs and bar charts. Specifically, the data can be presented in a parent's app by generating weekly / monthly training reports, visually displaying focus level change curves and effectiveness ratings.

[0033] As described above, by generating visualization results from historical training result sets, the training effect can be quantified and traced, a long-term training data accumulation and comparison mechanism can be established, and a complete closed loop of "identification-training-intervention-verification-optimization" can be formed.

[0034] In one embodiment of the present invention, after completing the focus training, the process includes: obtaining an average focus level and a baseline focus level based on the radio wave data collected in real time during the training process; obtaining a training effectiveness index based on the average focus level and the baseline focus level; determining whether the training is effective based on the training effectiveness index; and if ineffective, updating at least one of the training principles, training modes, interaction methods, and training content.

[0035] Specifically, after training is completed, training evaluations are conducted on aspects such as focus stability, frequency of state interventions, interaction compliance, and average focus improvement rate. (1) Focus stability: The fluctuation range of focus throughout the training is ≤20%, indicating an improvement in focus stability. (2) Frequency of state interventions: As the number of training sessions increases, the frequency of excitement / fatigue interventions gradually decreases, indicating an improvement in the child's self-regulation ability. (3) Interaction compliance: The correct blink response rate for difficult-to-raise children is ≥80%, and the completion rate of other temperament games is ≥85%, indicating good training compliance. (4) Average focus improvement rate: (average focus after training - baseline focus) / baseline focus is ≥15%, indicating that the training is effective. When the training effect is deemed poor or ineffective, at least one of the following will be updated for the next training session: training principles, training mode, interaction method, and training content.

[0036] As described above, the effectiveness of training can be ensured by evaluating aspects such as focus stability, frequency of state intervention, interaction compliance, and average focus improvement rate after training is completed, judging the effectiveness of training based on the evaluation results, and adjusting the training accordingly.

[0037] In one embodiment of the present invention, the step of performing focus training according to the differentiated training strategy includes: initiating a first preset duration of zoom vision training; determining whether the zoom vision training has been completed, and if so, initiating a second preset duration of eye exercise training.

[0038] As can be seen from the above description, by conducting automatic zoom vision training and eye exercises before training, children can more easily enter the training state.

[0039] This invention provides two specific application examples to illustrate the above process: Example 1: Training process for a difficult child (7 years old, 1st grade) S1a. Parents complete a temperament assessment via a mini-program. If the child is identified as difficult to raise, the device is set to disconnect from the phone and operate in pure auditory mode. This corresponds to step 101, where the steps for obtaining the child's temperament assessment results are executed.

[0040] S2a. The child wears an eye mask (i.e., wears a concentration training device based on the child's temperament). The device collects initial EEG baseline data and obtains a baseline concentration score of 38 (initially obvious distraction). S3a: Automatically runs 2 minutes of zoom vision training, with synchronous warm-up mode, requiring no operation. S4a: Automatically run eye exercises with eyes closed for 4 minutes to relax the eyes; S2a-S4a: Perform the preliminary steps.

[0041] S5a, Enter Focus Training: Play the daily updated short animal adventure story, asking a simple question every 25 seconds (such as "Did the little rabbit find the carrot?"), collecting EEG data in real time, and calculating focus, fatigue, and excitement levels. That is, execute steps 102-103.

[0042] S6a. In the early stage of training, the child's excitement index E=8.5 and concentration P=35. The device automatically triggers 10Hz binaural difference frequency audio. After 45 seconds, E drops back to 6.2 and P rises to 63. S7a: Children complete the question and answer process by blinking once or twice, without using a mobile phone or screen, with an 82% accuracy rate; S6a-S7a refers to step 104.

[0043] S8a, training ends, average focus score is 65 points, an improvement of 71% compared to baseline. The device records data and synchronizes it to the parents' end, generating weekly / monthly reports every week / month.

[0044] Example 2: Training Process for an Easy-to-Raise Child (9 years old, 3rd grade) S1b, the system determines that the bird is easy to raise, and the device connects to the mobile phone's bird-catching game via Bluetooth; that is, execute steps 101-103.

[0045] S2b, baseline focus score 52, after completing 2 minutes of zoom + 4 minutes of eye exercises, enter game training; that is, execute the pre-training steps.

[0046] S3b, Enter Focus Training: The game rules are: the bird flies to the cage, and you can catch it by blinking twice. Initially, the bird moves slowly. S4b, during the middle of training, the child's fatigue index F=13.1, concentration P=38, the device automatically triggers 30Hz binaural difference frequency audio, after 30s F drops back to 6.5, P rises to 70; S5b: As concentration steadily increases, the game difficulty automatically increases, the bird's movement speed increases, and the capture window shrinks; S3b-S5b is the execution of step 104.

[0047] S6b: At the end of the training, the average focus score was 72 points and the game completion rate was 90%. After long-term training, the frequency of intervention gradually decreased.

[0048] Please refer to Figure 2 This invention also provides a concentration training device based on a child's temperament, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the various steps of the concentration training method based on a child's temperament as described above. The training device has an overall eye mask-like structure and incorporates eight core modules, the specific structure and functions of which are as follows: Table 2. Function Table of Training Equipment Modules

[0049] In summary, this invention provides a method and device for attention training based on children's temperament, forming a complete system encompassing hardware, software algorithms, temperament-specific training methods, and effectiveness verification. The main hardware component is a training eye mask, accompanied by a lightweight parent-side mini-program. Through prior assessment of the child's four temperaments, combined with real-time acquisition of forehead EEG signals via a built-in EEG module in the eye mask, attention, excitement, and fatigue are calculated using three core algorithms, dynamically triggering 10Hz / 30Hz audio intervention based on the difference in frequency between the ears. For children who are difficult to manage, a mobile phone-free, purely auditory storytelling combined with a blinking question-and-answer mode is used, with daily updates to story content and age-appropriate question depth to avoid screen dependence. For children who are easy to manage, slow to warm up, or of average ability, a minimalist, fun interactive game is provided on a mobile app, where game commands are completed through blinking, with the training difficulty dynamically increasing according to attention levels. EEG data is recorded throughout the training process, and the effectiveness of the training is quantified through long-term baseline data comparison. Simultaneously, an automatic zoom vision training module is built-in, enabling simultaneous eye protection and attention training.

[0050] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A concentration training method based on children's temperament, characterized in that, include: Obtain the results of a children's temperament assessment, and based on the results, determine the training principles, training models, interaction methods, and training content. Generate differentiated training strategies based on the training principles, training modes, interaction methods, and training content; Focus training is conducted based on the differentiated training strategy described above, and EEG data is collected in real time. The current training state is calculated based on the EEG data. If the current training state does not meet the requirements of the focused state, a training intervention strategy is obtained based on the current training state, and the training is intervened according to the training intervention strategy until the current training state meets the requirements of the focused state.

2. The concentration training method based on children's temperament according to claim 1, characterized in that, The calculation of the current training state based on the EEG data includes: The focus index is calculated based on the EEG data, and it is determined whether the focus index is greater than the focus threshold. If it is, the current training state is determined to meet the focus state; otherwise, the current training state is determined not to meet the focus state.

3. The concentration training method based on children's temperament according to claim 2, characterized in that, The determination of whether the focus index is greater than the focus threshold also includes: If the focus index is less than or equal to the focus threshold, then the excitement index and fatigue index are calculated. If the excitation index is greater than the excitation threshold, then the current training state is determined to be an excited state; If the fatigue index is greater than the fatigue threshold, then the current training state is determined to be a fatigue state. The step of intervening in the training according to the training intervention strategy until the current training state is a focused state includes: If the current training state is the excited state, then trigger the binaural difference frequency audio with the first frequency as the difference, until the current training state is the focused state; If the current training state is the fatigue state, then trigger the binaural difference frequency audio with the second frequency as the difference, until the current training state is the focused state; The first frequency is less than the second frequency.

4. The concentration training method based on children's temperament according to claim 3, characterized in that, The triggering binaural difference frequency audio with a first frequency difference includes: The target audio frequency is obtained based on the child temperament assessment results. The binaural difference frequency audio is generated from the target audio frequency based on the first frequency.

5. The concentration training method based on children's temperament according to claim 3, characterized in that, The calculation of the focus index based on the electroencephalogram data includes: ； The calculation of the excitement index and fatigue index includes: ； ； Where P represents the focus index, E represents the excitement index, and F represents the fatigue index. , , , as well as Five different types of brainwave signals distinguished by frequency.

6. The concentration training method based on children's temperament according to claim 1, characterized in that, After completing the aforementioned focus training, the following will be included: Record and store the training results to obtain a historical training result set; The training content is updated based on the historical training result set.

7. The concentration training method based on children's temperament according to claim 6, characterized in that, Also includes: Visualization results are generated based on the historical training result set.

8. The concentration training method based on children's temperament according to claim 1, characterized in that, After completing the aforementioned focus training, the following will be included: The average focus level and baseline focus level are obtained based on the radio wave data collected in real time during the training process. The training effectiveness index is obtained based on the average focus level and the baseline focus level; The effectiveness of the training is determined based on the training effectiveness index. If it is ineffective, at least one of the training principles, training modes, interaction methods, and training content is updated.

9. A concentration training method based on children's temperament according to claim 1, characterized in that, Prior to performing focus training based on the differentiated training strategy, the following is included: Start the zoom vision training for the first preset duration; Determine whether the zoom vision training has been completed. If so, start the second preset duration of eye exercise training.

10. A concentration training device based on a child's temperament, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step of the attention training method based on a child's temperament as described in any one of claims 1 to 9.

Images