Emotion catharsis device control method and system based on brain-computer interface

Abstract

The application relates to the technical field of brain-computer interface and emotion regulation control, in particular to an emotion release device control method and system based on a brain-computer interface. The method comprises the following steps: constructing an emotion release cycle, collecting multiple types of emotion signals in the emotion release cycle, the emotion signals comprising electroencephalogram signals, target hitting stress signals and sound pressure signals when a user shouts; for any emotion signal, extracting an emotion characteristic value, performing fusion operation on the multiple emotion characteristic values to obtain a fusion result; comparing the fusion result with a preset emotion threshold value, and matching different release strategies according to the comparison result. The technical scheme has the effects of improving the efficiency of negative emotion consumption of a user and improving the user experience.

Description

Technical Field

[0001] This application relates to the fields of brain-computer interface and emotion regulation and control technology, and in particular to a control method and system for emotion catharsis devices based on brain-computer interface. Background Technology

[0002] Emotion regulation systems are important auxiliary tools for psychological intervention, emotion management, and stress release. These devices are typically installed in psychological counseling rooms, stress relief chambers in enterprises and institutions, or related medical facilities to provide a safe channel for people under high pressure or suffering from specific psychological problems to release their emotions. They usually include: a punching bag: for users to hit and vent their frustrations; the punching bag is movable and connected to a damper that provides resistance to the movement of the punching bag; and a shouting tube: for users to shout loudly. By actively applying physical impact or shouting, users release stress hormones, thereby achieving the purpose of relaxing the mind and body and relieving emotions.

[0003] In the process of releasing psychological stress, users often need to engage in high-intensity physical venting based on their real-time emotional fluctuations. In such specific application scenarios, an ideal venting process not only requires users to actively output energy, but also requires the external environment or equipment to provide dynamic counter-support and guidance based on the user's immediate psychological state, in order to improve the efficiency of negative emotion dissipation.

[0004] However, existing conventional catharsis devices usually only set fixed physical impedance or single passive sound and light feedback, lacking the perception and linkage response to the user's real emotional stage. During use, it is very easy to have an abnormal experience where the actual physical feedback is seriously out of sync with the user's psychological needs.

[0005] For example, when a user is anxious and urgently needs strong resistance to vent their emotions, the fixed resistance of the device often seems too light, failing to provide sufficient muscle-wearing feedback, causing the cathartic behavior to become superficial. Conversely, when the user has gradually vented their emotions, their physical strength has decreased, and they need to enter a relaxation phase, the original fixed resistance will become a heavy physical burden, and may even trigger new irritability in the user, hindering their transition to a calm state, ultimately resulting in the device being less efficient at regulating the user's emotions. Summary of the Invention

[0006] To improve the efficiency of emotional calming during the user's emotional regulation process, this application provides a control method and system for an emotion catharsis device based on a brain-computer interface.

[0007] Firstly, this application provides a method for controlling an emotion-expressing device based on a brain-computer interface, employing the following technical solution: A brain-computer interface-based method for controlling emotional catharsis devices involves constructing an emotional catharsis cycle and collecting various emotional signals during this cycle. These signals include electroencephalogram (EEG) signals, pressure signals from the target, and sound pressure signals from the user's shouts. The target is a component that the user can strike to vent their emotions, and it can move after being struck. For any emotional signal, emotional feature values ​​are extracted, and multiple emotional feature values ​​are fused to obtain a fusion result; among them, the emotional feature values ​​include EEG feature values ​​representing the power level of the β band extracted from the EEG signal, hitting feature values ​​representing the hitting force level of the target, and shouting feature values ​​representing the shouting sound pressure level. By comparing the fusion result with a preset emotion threshold, the electromagnetic damper of the target is controlled to generate different damping forces based on the comparison result; wherein, the damping force refers to the resistance that the user must overcome to make the target move when striking it.

[0008] During the emotional catharsis cycle, EEG signals, target impact pressure signals, and shouting sound pressure signals are collected simultaneously from multiple dimensions. The three are then fused to calculate an accurate fusion result that represents the user's current psychological stress, and then dynamically matched with differentiated catharsis strategies.

[0009] In actual psychological intervention and stress release scenarios, this mechanism can sense the user's real emotional fluctuations and provide dynamic resistance to the target based on the user's different cathartic stages, thereby quickly consuming the user's negative emotions and gently guiding them back to calm, improving the efficiency of emotion regulation and the user's immersive experience.

[0010] Optionally, a fusion operation is performed on multiple emotional feature values ​​to obtain a fusion result, including: for each type of emotional signal, normalizing the emotional feature value and the corresponding reference value to obtain multiple normalization results, and performing a fusion operation on the multiple normalization results to obtain the fusion result.

[0011] To address the issue of inconsistent physical dimensions and fluctuation ranges of emotional signals across different modalities, the dimensional differences between indicators are effectively eliminated by normalizing the various emotional feature values ​​and then performing a weighted summation.

[0012] Optionally, the fusion result can be obtained by weighted summation of multiple normalization results.

[0013] This fusion algorithm can reasonably allocate the contribution weights of the brain's state of consciousness and the intensity of external behavior to the overall emotion assessment, making the final fusion result more scientific and objective, and further improving the accuracy of emotion state quantification.

[0014] Optionally, controlling the electromagnetic damper of the target to generate different damping forces based on the comparison results includes: an emotion threshold including a first emotion threshold; in response to the fusion result being greater than or equal to a preset first emotion threshold, calculating a positively correlated basic damping force based on the fusion result, and controlling the electromagnetic damper to output the corresponding basic damping force.

[0015] To address the issue that conventional resistance is insufficient to meet users' demands for high-intensity resistance under anxious conditions, a first emotional threshold is set to trigger a strong feedback strategy. In practical application, when the user's fusion result exceeds the first emotional threshold, a stronger basic damping force is provided to ensure sufficient and appropriate hard resistance support during the stage when the user's emotions are most intense and they urgently need high-intensity muscle release.

[0016] Optionally, the fusion result is compared with a preset reinforcement threshold. If the fusion result is greater than the reinforcement threshold, the basic damping force is modified a second time by using the power value of the β band of the EEG signal in this cathartic cycle.

[0017] Because beta waves can more quickly and intuitively reflect the brain's stress and tension, this method can achieve advanced perception of extreme emotional fluctuations and fine-tuning of physical feedback in practical applications, making the device's resistance closely match the user's subconscious psychological fluctuations.

[0018] Optionally, the basic damping force can be further modified, including: if the power value of the β band of the EEG signal in response to the cathartic cycle is greater than or equal to a preset enhancement threshold, the damping force can be further increased on the basis of the basic damping force.

[0019] When the power of the beta band, which reflects the level of brain tension, exceeds the enhancement threshold, the damping force is further increased on top of the base damping force. This means that when the user's brain is detected to be tense, the resistance to the target can be quickly increased, forcing the user to output maximum force to strike, thereby rapidly depleting the user's physical strength and anxiety in a very short time.

[0020] Optionally, controlling the electromagnetic damper of the target to generate different damping forces based on the comparison results includes: in response to the fusion result being less than or equal to a second emotional threshold, controlling the sound wave generator to emit sound waves corresponding to the theta brainwave frequency band.

[0021] It synchronously transmits theta-band sound waves, which can effectively guide the brain's nerve rhythm to be in sync and promote parasympathetic nerve activity, helping users smoothly transition from a state of irritability and catharsis to a state of mental and physical tranquility.

[0022] Optionally, the peak value of the pressure signal is extracted as the impact feature value; the peak value of the sound pressure signal is extracted as the shouting feature value.

[0023] Peak data most directly reflects the explosive power and emotional intensity of a user at the moment of impact. This extraction method not only ensures the sensitivity to capture intense emotions, but also reduces the computational latency of the underlying control system, ensuring the high real-time performance of the dynamic feedback from the cathartic device.

[0024] Optionally, the step of obtaining the EEG feature value representing the power level of the β band extracted from the EEG signal includes: acquiring the EEG signal in the user's calm state, extracting the power of the β band as the resting reference power, and using the ratio of the power of the β band in the current cathartic cycle to the resting reference power as the EEG feature value.

[0025] Secondly, this application provides a brain-computer interface-based control system for an emotion-expressing device, employing the following technical solution: The brain-computer interface-based emotional catharsis device control system includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the brain-computer interface-based emotional catharsis device control method described above is implemented.

[0026] The aforementioned brain-computer interface-based emotional catharsis device control method generates a computer program and stores it in a memory for loading and execution by a processor. Thus, a system is created based on the memory and processor for convenient use.

[0027] This application has the following technical effects: The system simultaneously collects the user's EEG signals, pressure signals corresponding to the striking force, and sound pressure from shouting. It then integrates multi-dimensional emotional signals to calculate the fusion result, quantifying the user's emotional state. This is combined with an electromagnetic damper and a sound wave generator to achieve dynamic resistance and synchronized brainwave guidance. It precisely matches the user's emotional needs throughout their entire life cycle, from intense outbursts to a smooth transition to relaxation, thus improving the efficiency of stress reduction and emotional calming. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the method for controlling an emotion-expressing device based on a brain-computer interface, according to an embodiment of this application.

[0029] Figure 2 This is a schematic diagram illustrating the matching of different catharsis strategies in the brain-computer interface-based emotional catharsis device control method of this application embodiment. Detailed Implementation

[0030] This application discloses a control method for an emotion catharsis device based on a brain-computer interface.

[0031] A method for controlling an emotion-expressing device based on a brain-computer interface includes steps S1-S3.

[0032] S1: Construct an emotional catharsis cycle and collect multiple emotional signals during the emotional catharsis cycle, including EEG signals, target pressure signals, and sound pressure signals when the user shouts.

[0033] When the pressure sensor (16-point piezoelectric ceramic array) inside the impact target detects a resultant force greater than or equal to a preset trigger threshold of 10N, this moment is taken as the initial moment. Three types of emotional signals are collected. When the pressure sensor detects that the resultant force decreases from ≥10N to <10N, an emotional catharsis cycle is completed. The trigger threshold is set to 10N to ensure that a slight touch by the user will not be misinterpreted as a striking event. It can be understood that this collection window is one emotional catharsis cycle. Of course, in some embodiments, a catharsis cycle can also be constructed at a fixed time when the preset trigger threshold of ≥10N is detected.

[0034] The collected emotional signals include: 1. Collect the pressure signal received by the target within the acquisition window.

[0035] 2. The EEG acquisition device (e.g., the Genius Smart Second Generation) starts continuously acquiring EEG signals from the left and right frontal loci (FP1, FP2) at a sampling rate of 256Hz. The EEG signals are communicated asynchronously via UART serial port.

[0036] 3. Capture sound pressure data when the user shouts using a directional microphone.

[0037] Subsequently, preprocessing was performed on the three types of original sequences respectively: For the EEG signal in the acquisition window: wavelet transform is used to denoise and eliminate motion artifacts generated at the moment of impact, obtaining the current alpha wave power value and beta wave power value. In this embodiment, a 5-level wavelet decomposition is performed using the db4 wavelet basis, followed by threshold shrinkage reconstruction to remove high-frequency noise. ICA blind source separation is then performed in conjunction with the triaxial accelerometer output and the EEG sequence to remove motion artifacts generated at the moment of impact, ensuring that the EEG signal signal-to-noise ratio is maintained above 15dB.

[0038] For pressure signals in the acquisition window: outlier samples outside the calibrated range in the mechanical sequence formed by the impact force in the acquisition window are removed.

[0039] For the shouting sound pressure signal in the acquisition window: Based on the pre-acquired environmental noise, its power spectral density (PSD) is calculated using FFT transformation as an environmental noise fingerprint; Spectral subtraction or Wiener filtering algorithm is used to dynamically subtract the pre-stored environmental noise fingerprint energy from the real-time spectrum of the shouting sound pressure signal; Endpoint detection (VAD) technology based on energy threshold is used to identify the start and end points of the shouting sound, thereby accurately separating the user's main shouting component in a complex cathartic environment and extracting the real sound pressure value.

[0040] S2: Extract emotional feature values ​​from the preprocessed emotional signal and perform fusion operations on multiple emotional feature values ​​to obtain real-time fusion results.

[0041] Combination Figure 2 In this embodiment, the emotional feature values ​​include EEG feature values ​​corresponding to EEG signals, slapping feature values ​​corresponding to pressure signals, and shouting feature values ​​corresponding to sound pressure signals.

[0042] It is understandable that the feature values ​​corresponding to various emotional signals represent the overall characteristics of the signal. In this embodiment, the β-band power of the EEG signal in the acquisition window is used as the EEG feature value; the pressure peak value of the pressure signal in the acquisition window is used as the striking feature value; and the peak sound pressure in the sound pressure signal is used as the shouting feature value.

[0043] Considering that the three types of signals differ significantly in physical meaning, dynamic range, and intensity of indication of anxiety, directly summing them would result in the fusion result losing its physical meaning due to inconsistent numerical dimensions. Therefore, it is necessary to first normalize the three types of signals according to their respective reference values, and then perform weighted summation using empirical weights.

[0044] 1. The formula for normalizing EEG feature values ​​can be expressed as: ; This represents the normalized result of EEG feature values; Indicates EEG characteristic values; This represents the resting reference power of the β band obtained in step S1.

[0045] Steps for obtaining resting baseline power: After the user correctly wears the EEG acquisition device and passes the electrode contact impedance test, the physiological signal acquisition layer starts the resting state acquisition window with a preset resting duration; within the resting state acquisition window, the user is required to maintain a natural sitting posture and not to actively strike or shout.

[0046] The power of the collected EEG signals in the alpha (8-12Hz) and beta (12-30Hz) frequency bands is used as the resting baseline power. It's important to understand that this resting baseline power can be obtained when the user is emotionally stable, not before emotional outbursts. This is because emotions are difficult to control before emotional outbursts, posing a risk of inaccurate resting baseline power.

[0047] 2. The formula for normalizing the impact characteristic value can be expressed as: ; This represents the result of normalization of the impact feature values; This indicates the peak pressure value of the pressure signal within the acquisition window; This represents a reference value for impact force, which can be measured by hitting a target when the user is in a good mood.

[0048] 3. The formula for normalizing the shout feature values ​​can be expressed as: In the formula, This represents the normalized result of the shout eigenvalues; Represents the characteristic value of the shout; The sound pressure reference value can be obtained by averaging the shouting characteristic values ​​of multiple normal people in good mood, or it can be measured in advance when the user is in a good mood.

[0049] Subsequently, the normalized results of the above three eigenvalues ​​are weighted and summed to obtain the fusion result for this period: ; In the formula, Indicates the fusion result; This represents the normalized result of EEG feature values; This represents the normalized result of the impact feature values; This represents the normalized result of the shout eigenvalues; As the first weight, As the second weight, It is the third weight.

[0050] In this embodiment, the first weight is set between 0.5 and 0.6, for example, 0.55, reflecting the dominant role of EEG signals in emotion discrimination; the second weight is set between 0.25 and 0.35, for example, 0.3, reflecting the minor contribution of user behavior intensity to anxiety expression; the third weight is set between 0.05 and 0.25, for example, 0.15, reflecting the contribution of the acoustic dimension as an auxiliary correction term; min() is a minimum value function used to limit the fusion result to a bounded range of [0, 1.0] when the user is in a multimodal and extreme state.

[0051] As can be seen from the formula, when the user's brain activity increases, the hitting becomes more violent, or the shouting becomes more intense, the three types of feature values ​​increase simultaneously, and the fusion result increases monotonically until it saturates at 1.0; conversely, when the above three types of signals fall back, the AI ​​decreases monotonically, reflecting the entire process of the user transitioning from intense venting to calm.

[0052] If the EEG signal acquisition channel experiences a continuous signal loss exceeding 200ms or the electrode contact impedance exceeds the effective range during this step, it automatically switches to a temporary verification mode based on both impact mechanics and shouting acoustics. The human-computer interaction terminal then prompts the user on the screen to readjust the EEG acquisition device position. For the temporary verification mode, the corresponding fusion result calculation formula can be expressed as: ; In the formula, Indicates the fusion result; This represents the normalized result of EEG feature values; This represents the result of normalization of the impact feature values; This represents the normalized result of the shout eigenvalues; As the second weight, As the third weight, it can be understood that this formula is only missing the EEG feature value compared with the above fusion result calculation formula. The second and third weights are redistributed. For example, the second weight can be set to 0.6 and the third weight to 0.4. The specifics can be adjusted according to the actual situation, and no further restrictions are imposed here.

[0053] S3: Compare the fusion result with the preset emotion threshold, and control the electromagnetic damper of the target to generate different damping forces according to the comparison result.

[0054] It should be noted that the control of the cathartic device in this embodiment mainly includes three aspects: First, controlling the damping force generated by the electromagnetic damper, which is located on the rear side of the target and is mainly used to change the resistance felt by the user when hitting it; this can also be understood as the resistance that the user needs to overcome to make the target move when hitting it. Second, the sound wave generating device (such as a piezoelectric resonator) is mainly used to emit sound waves; the sound waves are used to guide the brain's frequency generation from a stressed state to a calm state. Third, the bone conduction unit releases 3-5Hz theta waves, which reach the inner ear directly through the temporal bone to promote relaxation. Of course, other embodiments are not limited to these three methods; any method that can relax the user can be applied.

[0055] The electromagnetic damper controlling the target generates different damping forces. In this embodiment, multiple catharsis strategies are matched. The user's emotional state is judged based on the fusion result, and different catharsis strategies are applied.

[0056] In this embodiment, a first emotion threshold and a second emotion threshold are set, and the first emotion threshold is greater than the second emotion threshold.

[0057] When the fusion result is greater than or equal to the first emotional threshold, it indicates that the user is in a state of strong anxiety. They need to accelerate the consumption of stress hormones through higher intensity muscle resistance. Therefore, greater resistance should be provided on the target to control the cathartic device to implement a strong feedback strategy.

[0058] The strong feedback strategy is: First, the foundation damping force is calculated based on the fusion results. The foundation damping force is positively correlated with the fusion results. Specifically, the formula for calculating the foundation damping force can be expressed as: In the formula, Indicates the basic damping force; Indicates the preset basic resistance; This represents the first sensitivity coefficient, which is mainly used to adjust the degree of influence of the fusion result on the basic damping force; Indicates the fusion result; Indicates the magnification factor; This is the first emotional threshold.

[0059] Subsequently, the fusion result is compared with a preset reinforcement threshold. If the fusion result is greater than or equal to the reinforcement threshold, a second correction is made; otherwise, the electromagnetic damper is controlled to generate a basic damping force. In this embodiment, the preset reinforcement threshold is 0.85.

[0060] The secondary correction process is as follows: When the fusion result is greater than the enhancement threshold, the enhancement reference force is calculated. The formula for calculating the enhancement reference force can be expressed as: ; In the formula, After the catharsis cycle The enhanced reference power calculated from the EEG characteristic values; This indicates a preset enhanced resistance, which is set to 50 in this embodiment; Indicates the catharsis cycle The power value of the beta band of the EEG signal, i.e., the EEG characteristic value; This indicates a preset resistance enhancement threshold, meaning that the basic damping will only be amplified when the EEG characteristic value is greater than this value; This represents the resistance sensitivity coefficient, primarily used to adjust the sensitivity of EEG characteristic values ​​to the resistance adjustment of the electromagnetic damper; in this embodiment, Set to 40, Setting it to 0.8 is understandable. and These parameters are all set by those skilled in the art based on experience, and can be adjusted according to the actual situation during implementation.

[0061] After obtaining the enhanced reference force, the enhanced reference force is adjusted by a fixed step size based on the basic damping force. Then, the electromagnetic damper is controlled to output the corresponding adjusted damping force. For example, assuming the basic damping force is 40, the enhanced reference force is 50, and the fixed step size is 5, then the final damping force is 45.

[0062] The reason for not directly using the enhanced reference force as the resistance output of the electromagnetic damper is to reduce the large fluctuations in the damping force.

[0063] In some embodiments, the strong feedback strategy may also include acoustic feedback, which is mainly achieved by generating sound waves of a specific frequency using a sound wave transmitter. Similarly, the sound waves from the sound wave generator can be modulated based on EEG characteristics during each cathartic cycle.

[0064] The formula for calculating the frequency of the sound waves generated by the sound wave generator can be expressed as: In the formula, For the catharsis cycle The frequency of the sound waves generated by the sound wave generator; Indicates the fundamental sound wave frequency; Indicates the catharsis cycle EEG characteristic values; Indicates the sound wave amplification threshold, when Greater than This will cause the final sound wave frequency to increase; Indicates the acoustic sensitivity coefficient, used for adjustment. The degree of influence on the frequency of the final sound wave. and These values ​​are also obtained by those skilled in the art based on experience or experimentation, and will not be elaborated upon here.

[0065] As can be seen from the above formula, in this mode, the electromagnetic damper further enhances its resistance above the 50N starting baseline as brain activity increases; the piezoelectric resonator synchronously increases its output frequency to enhance the immersive acoustic feedback effect.

[0066] When the fusion result is greater than the second emotion threshold but less than the first emotion threshold, the user's state is confirmed as moderate anxiety, and the cathartic device is controlled to execute the basic feedback strategy.

[0067] The basic feedback strategy is as follows: the resistance of the electromagnetic damper is kept within a window of ±5N around the center value of 35N, and the sound wave generator is switched to white noise output to assist the user in entering a smooth transition.

[0068] When the fusion result is less than or equal to the second emotion threshold, the user's emotional state is confirmed to be relaxed, and the cathartic device is controlled to implement a relaxation feedback strategy.

[0069] In the relaxation feedback strategy, the electromagnetic damper body is maintained at a low resistance level of about 20N±5N, and the bone conduction unit in the cathartic device releases 3-5Hz theta-band sound waves to the user's temporal bone to promote parasympathetic nerve activity.

[0070] In this embodiment, the theta wave frequency band is 3-5Hz, which corresponds to the dominant brainwave rhythm in a user's deep relaxation state. In scenarios where the user has a strong tendency to be lightly sleepy, this frequency band can be adjusted within the range of 4-7Hz, and such adjustment does not change the core feature of this solution: using low-frequency sound waves to assist relaxation. In another embodiment, the bone conduction theta waves used in the relaxation mode in this step can also be replaced with low-frequency white noise played through a conventional speaker. The white noise can also achieve the technical effect of helping the user escape from a state of intense catharsis.

[0071] In some embodiments, a rapid relaxation strategy may be incorporated to provide better feedback to the user through target hitting. After each cathartic cycle, the alpha wave power collected in this cycle is compared with the value of the previous cycle. When the increase in alpha wave power in the EEG signal is greater than or equal to a preset ratio (e.g., 15%) in three consecutive comparisons, the feedback intervention is considered successful, guiding the user into the relaxation channel and triggering a convergence response: the electromagnetic damper reduces the damping to the relaxation mode baseline value in a step-by-step manner of 5N increments. According to the relaxation feedback strategy in this embodiment, the relaxation mode baseline value is a value within 20N±5N. It can be understood that when this strategy is executed, there is no need to execute other cathartic strategies in subsequent cathartic cycles.

[0072] This application also discloses a brain-computer interface-based method for controlling an emotional catharsis device, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the brain-computer interface-based method for controlling an emotional catharsis device according to this application is implemented.

[0073] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0074] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A control method for an emotion-expression device based on a brain-computer interface, characterized in that, An emotional catharsis cycle is constructed, during which multiple emotional signals are collected, including EEG signals, impact target pressure signals, and sound pressure signals when the user shouts; the impact target is a component for the user to hit to vent their emotions, and it can move after being hit; For any emotional signal, emotional feature values ​​are extracted, and multiple emotional feature values ​​are fused to obtain a fusion result; among them, the emotional feature values ​​include EEG feature values ​​representing the power level of the β band extracted from the EEG signal, hitting feature values ​​representing the hitting force level of the target, and shouting feature values ​​representing the shouting sound pressure level. By comparing the fusion result with a preset emotion threshold, the electromagnetic damper of the target is controlled to generate different damping forces based on the comparison result; wherein, the damping force refers to the resistance that the user must overcome to make the target move when striking it.

2. The control method for the brain-computer interface-based emotion catharsis device according to claim 1, characterized in that, The process of fusing multiple emotional feature values ​​to obtain a fusion result includes: for each type of emotional signal, normalizing the emotional feature value and the corresponding reference value to obtain multiple normalization results, and fusing the multiple normalization results to obtain the fusion result.

3. The control method for the brain-computer interface-based emotion catharsis device according to claim 2, characterized in that, The fusion result is obtained by weighted summation of multiple normalization results.

4. The control method for the brain-computer interface-based emotion catharsis device according to claim 3, characterized in that, Controlling the electromagnetic damper of the target to generate different damping forces based on the comparison results includes: an emotion threshold including a first emotion threshold; in response to the fusion result being greater than or equal to the preset first emotion threshold, calculating a positively correlated basic damping force based on the fusion result, and controlling the electromagnetic damper to output the corresponding basic damping force.

5. The control method for the brain-computer interface-based emotion catharsis device according to claim 4, characterized in that, Also includes: The fusion result is compared with the preset reinforcement threshold. If the fusion result is greater than the reinforcement threshold, the basic damping force is modified a second time by the power value of the β band of the EEG signal in this cathartic cycle.

6. The control method for the brain-computer interface-based emotion catharsis device according to claim 5, characterized in that, The basic damping force is modified in a second way, including: if the power value of the β band of the EEG signal in response to the cathartic cycle is greater than or equal to a preset enhancement threshold, the damping force is further increased on the basis of the basic damping force.

7. The control method for the brain-computer interface-based emotion catharsis device according to claim 1, characterized in that, Controlling the electromagnetic damper of the target to generate different damping forces based on the comparison results includes: in response to the fusion result being less than or equal to the second emotional threshold, controlling the sound wave generator to emit sound waves corresponding to the theta brainwave frequency band.

8. The control method for the brain-computer interface-based emotion catharsis device according to claim 1, characterized in that, The peak value of the pressure signal is extracted as the impact feature value; the peak value of the sound pressure signal is extracted as the shout feature value.

9. The control method for the brain-computer interface-based emotion catharsis device according to claim 1, characterized in that, The steps for obtaining EEG feature values ​​representing the power level of the β band extracted from EEG signals include: acquiring EEG signals in a calm state, extracting the power of the β band as the resting baseline power, and using the ratio of the power of the β band in the current cathartic cycle to the resting baseline power as the EEG feature value.

10. A control system for an emotion-expression device based on a brain-computer interface, characterized in that, include: A processor and a memory, wherein the memory stores computer program instructions that, when executed by the processor, implement the brain-computer interface-based emotional catharsis device control method according to any one of claims 1-9.

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