Mental health assessment system based on emotional interaction

Through the synergy between the quantum predicted haptic module and the spatiotemporal data disassembly module, the emotional potential energy equation is dynamically corrected to generate a virtual and real fusion scenario, and the problems of EEG signals being susceptible to noise interference, high false recognition rate of facial expression recognition and insufficient data security in the prior art are solved, and high-precision emotional evaluation and safety feedback are achieved.

CN120432095AInactive Publication Date: 2025-08-05SHIHEZI UNIVERSITY
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Patent Information

Application Number
CN202510594332.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-09
Publication Date
2025-08-05
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In the existing mental health assessment technology, EEG signals are susceptible to environmental noise and insufficient spatial resolution. Facial expression recognition is affected by lighting conditions and individual differences, and the misjudgment rate is high; traditional tactile feedback lacks dynamic adaptability in time dimensions and cannot predict user emotional change trends; data storage and processing are insufficient, and there is a risk of reverse engineering.

Method used

The quantum prediction haptic module, the spatiotemporal data disassembly module, the counterfactual entropy value reconstruction module, the quantum situation engine module, the time anchor point fusion module and the self-destructive evolution module are used to generate virtual tactile scenes through quantum tunneling sensors, disassemble user facial muscle group signals, dynamically correct emotional potential energy equations, generate virtual and real fusion scenarios, and lock the causal chain through topological analysis to achieve irreversible evolution of system logic and data security.

Benefits of technology

It realizes high-precision emotional subtle differences recognition, improves the sensitivity and accuracy of depression tendency detection, ensures data security, prevents reverse engineering cracking, and provides quantifiable, traceable, safe and reliable emotional interaction support.

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Abstract

The invention provides a psychological health assessment system based on emotional interaction, and relates to the field of psychological assessment. Comprising a quantum pre-judgment touch module, a spatio-temporal data disassembly module, an anti-fact entropy reconstruction module, a quantum situation engine module, a time anchor point welding module, a quantum time sequence identifier generation module and a self-destruction evolution module. The method comprises the following steps: measuring an electron spin state transition probability through a quantum tunneling sensor to generate a virtual touch scene and trigger a pre-reaction electric signal, disassembling user response data into space-time orthogonal subspace slices by using a non-exchangeable geometric converter, dynamically correcting an emotion potential energy equation and generating a virtual-real fusion scene; realizing data security evolution in combination with a quantum Chicnol effect and a Margarner-Fermi weaving technology; the system is integrated in a wearable head-mounted device, and high-sensitivity emotional interaction and anti-interference evaluation are realized through a superconducting quantum chip and a topological insulator array.
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Description

Technical Field

[0001] The present invention relates to the field of psychological assessment, and in particular to a psychological health assessment system based on emotional interaction. Background Art

[0002] Mental health assessment technology has developed rapidly in recent years, and its importance has become increasingly prominent in the fields of clinical diagnosis, emotion management, and human-computer interaction. With the advancement of quantum computing and biosensor technology, emotional interaction systems are developing towards high precision, real-time, and personalization. However, traditional assessment methods rely on subjective questionnaires and limited physiological indicators, making it difficult to capture the microscopic mechanisms of dynamic emotional changes. New technological breakthroughs that integrate multimodal data are urgently needed.

[0003] Existing technical solutions mainly include electroencephalogram (EEG)-based emotion recognition systems and multimodal physiological signal fusion analysis; the EEG system collects brain wave frequency band characteristics through scalp electrodes and combines machine learning to classify emotional states; another type of solution uses facial expression recognition and heart rate variability joint analysis to extract the user's overt physiological reactions through cameras and photoplethysmographs (PPGs); in addition, some studies attempt to introduce tactile feedback to enhance interactive immersion, such as simulating emotional transmission through vibration motors.

[0004] Existing technologies have the following shortcomings: EEG signals are easily affected by environmental noise and have limited spatial resolution, making it difficult to distinguish subtle differences in emotions; facial expression recognition is affected by lighting conditions and individual differences, resulting in a high misjudgment rate; traditional tactile feedback lacks the ability to dynamically adapt to the time dimension and cannot predict the changing trends of users' emotions; in addition, data storage and processing do not take privacy protection into consideration, posing a risk of reverse engineering; these defects limit the accuracy and security of mental health assessments. Summary of the Invention

[0005] (1) Technical problems solved In response to the shortcomings of the existing technology, the present invention provides a mental health assessment system based on emotional interaction to solve the problems raised in the above background technology, such as the EEG signal is easily interfered by environmental noise and has insufficient spatial resolution, which makes it difficult to distinguish subtle differences in emotions; facial expression recognition is affected by lighting conditions and individual differences, and has a high misjudgment rate; traditional tactile feedback lacks the ability to dynamically adapt to the time dimension and cannot predict the trend of user emotional changes; and data storage and processing are not secure enough, posing a risk of reverse engineering.

[0006] (2) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a mental health assessment system based on emotional interaction, including a quantum prejudgment tactile module, a spatiotemporal data decomposition module, a counterfactual entropy reconstruction module, a quantum context engine module, a time anchor point welding module, a quantum time sequence identifier generation module and a self-destructive evolution module. The quantum pre-judgment tactile module includes a quantum tunneling sensor, which measures the probability of electron spin state transitions under a pressure gradient based on the direction of electron spin polarization. When a user touches the tactile interface, it generates multiple sets of future virtual tactile scenes and injects microcurrent stimulation through reverse acoustic waves to trigger pre-reaction electrical signals in the user's subcutaneous nerve endings. The tactile interface is a piezoelectric film surface acoustic wave interactive interface integrated into a wearable head-mounted device. The future virtual tactile scene is a simulated tactile signal sequence generated based on the user's historical data and the quantum tunneling probability distribution. The spatiotemporal data decomposition module captures the asynchronous response of the user's facial muscles to the prediction signal through a non-commutative geometric converter and decomposes it into data slices of three orthogonal subspaces: past, present, and future; The counterfactual entropy reconstruction module calculates the Riemann curvature of the current emotional entropy through the forward channel, and injects the future evaluation results into the current tactile interface history buffer through the reverse channel, and compares the phase difference between the two channels to dynamically correct the emotional potential energy equation. The quantum scenario engine module generates a virtual-reality fusion scenario containing a self-referential instruction set based on the corrected entropy value, and forms a causal closed loop through topological analysis of the user's physiological response; The time anchor welding module converts the quantum state measurement results into a spatiotemporal phase stamp and writes it into the tactile interface lattice defect, so that the historical data reversely modulates the current sensor tunneling probability; The self-destructive evolution module includes Majorana fermion weaving technology, which erases the original data and reconstructs the hardware layer electronic transmission path after a preset period, realizing the irreversible evolution of system logic; The quantum time sequence identifier generation module generates a time-space phase stamp through a superconducting quantum interferometer, and adds a quantum superposition state identifier of the past and future time to the data packets between modules; The quantum pre-judgment tactile module and the micro-expression field sensor array are integrated into a wearable head-mounted device, which has a built-in superconducting quantum chip, a superconducting quantum interference device and a topological insulator array.

[0007] Preferably, the quantum pre-judgment tactile module measures the electron spin polarization direction of the user when touching the tactile interface through the quantum tunneling sensor. When the user's fingertips touch the tactile interface, the quantum tunneling sensor generates multiple groups of future virtual tactile scenes based on the electron spin state transition probability under the pressure gradient. The generation of the scenes depends on the coherence time of the superconducting quantum bit, and the duration of each group of scenes is set to the range of 1 / 3 to 2 / 3 of the quantum bit decoherence time; then, the piezoelectric film generates reverse-traveling surface acoustic waves, and injects microcurrent stimulation into the user's subcutaneous nerve endings. The amplitude of the microcurrent stimulation is nonlinearly proportional to the square root of the emotional tendency intensity of the virtual scene, thereby triggering the user's pre-trigger electromyographic signal; the quantum tunneling sensor and the micro-expression field sensor array are integrated in the wearable head-mounted device, and the device has the superconducting quantum chip and the topological insulator array built in to ensure high-precision capture and processing of signals.

[0008] Preferably, the spatiotemporal data decomposition module captures the contradictory responses of the user's facial muscles to the prediction signal through the non-commutative geometric converter, records the lead amount of zygomatic major muscle contraction and the orbicularis oculi muscle tremor frequency at a preset sampling frequency, and encodes these data into a spatiotemporal dislocation tensor; the non-commutative geometric converter splits the continuous time series into data slices of three orthogonal subspaces: past, present, and future, wherein the past subspace retains the quantum tunneling probability distribution of the historical tactile interface, the present subspace maps the Riemann curvature gradient of the current micro-expression field, and the future subspace stores the pre-generated instruction set of the quantum context engine; the decomposition process ensures the precise separation and reconstruction of data in the spatiotemporal dimension, providing structured input for subsequent modules.

[0009] Preferably, the counterfactual entropy reconstruction module calculates the Riemann curvature of the current emotional entropy through the forward channel, and measures the geometric characteristics of the user's emotional state in real time in the physical time flow; at the same time, in the reverse channel, the future evaluation results are injected into the current tactile interface history buffer area through quantum teleportation; and then the two channels are compared in S 1 The phase difference on the topological ring dynamically adjusts the imaginary coefficient of the emotional potential energy equation; the adjustment process triggers an increase in the sensitivity of depressive tendency detection, the increase is proportional to the square of the phase difference, and the phase difference threshold is set to 1.7 times the statistical peak value of the background noise of the quantum tunneling sensor; the module realizes dynamic correction of emotional potential energy through bidirectional data flow.

[0010] Preferably, the quantum context engine module inputs the corrected entropy value into the superconducting quantum interferometer to generate a virtual-reality fusion scene containing a self-referential instruction set, generates a non-diagonalized correlation matrix based on the covariance matrix of the user's historical interaction data through unitary transformation, and the matrix is used to define the behavior pattern of the virtual character; the Betti number differential equation of the emotional manifold is encoded through the object motion trajectory in the AR environment; after the user's physiological response to the scene is analyzed by the Čech complex, if it is detected that the current evaluation result is non-commutative geometrically associated with the historical injection data, the homology group splitting protocol is triggered to lock the causal chain; the Betti number differential equation is a differential constraint relationship between the first Betti number in algebraic topology and the curvature change rate of the object motion trajectory.

[0011] Preferably, the time anchor point welding module converts the quantum state measurement result into a space-time phase stamp, and writes the phase stamp into the lattice defect of the tactile interface through a two-dimensional electron gas device. The defect forms a potential barrier to constrain the transmission path of the new tactile signal; the historical evaluation data reversely modulates the tunneling probability of the quantum tunneling sensor through the quantum Hall effect, so that the data packet generated by each interaction must pass through the potential barriers of at least three different time anchor points; if any anchor point is missing, the data packet loss rate caused by quantum decoherence will exceed the critical threshold; the time anchor point welding module ensures the stable transmission and storage of data in the space-time dimension.

[0012] Preferably, after completing the evaluation closed loop of a preset period, the self-destructive evolution module erases the original data of the earliest two rounds of interaction but retains their spatiotemporal phase stamps, and compiles the current quantum circuit parameters into a topological insulator topological structure; reconstructs the feature space basis of the emotion classifier through the Majorana fermion weaving technology; the reconstruction process changes the topological structure of the electronic transmission path of the hardware layer, and after each evolution, the quantum bit decoherence time forms a dynamic coupling relationship with the topological insulator phase transition temperature; the Majorana fermion weaving technology reconstructs the feature space basis through the topological weaving operation of Majorana zero-energy mode, ensuring that reverse engineering cannot restore the initial logic.

[0013] Preferably, the quantum timing identifier generation module generates a space-time phase stamp through the superconducting quantum interferometer, specifically by adding a quantum superposition state identifier of the past and future time to the data packets between each module; the non-quantum data processing system cannot resolve the time dimension of the superposition state, and triggers the quantum Zeno effect in the data parsing stage, causing the information to collapse into a random noise signal; the module ensures the secure transmission and identification of data in the quantum system.

[0014] Preferably, the hardware layer of the tactile interface and the micro-expression field reconstruction device are integrated into the wearable head-mounted device, and the device has the superconducting quantum chip and the topological insulator array built in; the shell of the device adopts a two-dimensional material heterojunction with a quantum confinement effect, and the crystal orientation arrangement of the heterojunction forms a 45° angle with the electron spin polarization direction of the quantum tunneling sensor to enhance the potential barrier confinement effect of the time anchor point; the integrated design ensures the efficient operation of the system and the comfort of the user.

[0015] Preferably, the counterfactual entropy reconstruction module dynamically adjusts the emotion potential equation by comparing the phase difference between the forward channel and the reverse channel. The specific operation is that the calculation of the phase difference is based on S 1 Data flow on the topological ring; the adjusted imaginary term coefficient directly affects the sensitivity of depressive tendency detection; the adjustment process is associated with the statistical peak value of the background noise of the quantum tunneling sensor to ensure the accuracy and stability of the correction result.

[0016] Preferably, the virtual-reality fusion scene generated by the quantum scenario engine module encodes the emotional manifold through the motion trajectory of objects in the AR environment, wherein the user's physiological response is analyzed by the Čech complex. If a non-commutative geometric correlation is detected, the homology group splitting protocol is triggered; the protocol locks the causal chain and optimizes the subsequent scene generation logic; the process ensures real-time matching and feedback of the evaluation results and user behavior.

[0017] Preferably, the time anchor welding module forms a potential barrier through lattice defects to constrain the transmission path of the new tactile signal, and the writing of the defect depends on the two-dimensional electron gas device; the historical data reversely modulates the tunneling probability through the quantum Hall effect; the constraint mechanism ensures that the data packet must pass through multiple time anchor points, otherwise quantum decoherence will be triggered, resulting in data loss; the design enhances the system's spatiotemporal data management capabilities.

[0018] Preferably, the self-destructive evolution module reconstructs the characteristic space basis through Majorana fermion weaving technology, which uses the topological weaving operation of Majorana zero-energy modes to change the braid group representation of the electron transmission path; after each evolution, the quantum bit decoherence time is dynamically coupled with the topological insulator phase transition temperature; the operation ensures the irreversible evolution of system logic and data security.

[0019] (3) Beneficial effects The present invention provides a psychological health assessment system based on emotional interaction. It has the following beneficial effects: 1. Through the synergistic effect of the quantum predictive tactile module and the spatiotemporal data decomposition module, the present invention can capture the multi-dimensional responses of the user's touch and micro-expressions in real time and decompose them into spatiotemporal orthogonal data; the counterfactual entropy reconstruction module dynamically corrects the emotional potential energy equation, significantly improving the sensitivity and accuracy of depressive tendency detection; the quantum context engine module generates a virtual-reality fusion scene and locks the causal chain through topological analysis, realizing closed-loop feedback of emotional assessment and intervention; the self-destructive evolution module ensures data security and irreversible logical evolution to prevent reverse engineering cracking; the technical solution has both high precision and high security in mental health assessment.

[0020] 2. The present invention utilizes the time anchor point welding module and the quantum timing identifier generation module to achieve efficient management and transmission of data across time and space; the lattice defect and potential barrier constraint mechanism ensures the integrity and timing consistency of data packets; the Majorana fermion weaving technology reconstructs the electronic path of the hardware layer, giving the system adaptive evolution capabilities; the quantum Zeno effect effectively protects against data theft by non-quantum systems; the wearable head-mounted device integrates superconducting quantum chips and topological insulator arrays, taking into account both portability and high performance; the solution provides quantifiable, traceable, safe and reliable technical support for the field of emotional interaction. DETAILED DESCRIPTION

[0021] The following is a clear and complete description of the technical solutions in the embodiments of the present invention. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0022] Example 1: An embodiment of the present invention provides a psychological health assessment system based on emotional interaction, including: this embodiment describes in detail the comprehensive implementation process of the psychological health assessment system based on emotional interaction in a user interaction scenario; first, the user wears the wearable head-mounted device, which has the superconducting quantum chip, topological insulator array and micro-expression field sensor array built in; when the user's fingertips touch the tactile interface, the quantum pre-judgment tactile module is activated, and the quantum tunneling sensor measures the transition probability of the electron spin polarization direction based on the pressure gradient to generate multiple groups of future virtual tactile scenes, and the duration of each group of scenes is set to be between 1 / 3 and 2 / 3 of the decoherence time of the superconducting quantum bit; at the same time, the piezoelectric film generates reverse-traveling surface acoustic waves, injecting microcurrent stimulation into the user's subcutaneous nerve endings, and the amplitude of the stimulation is nonlinearly proportional to the square root of the emotional tendency intensity of the virtual scene, thereby triggering a pre-trigger electromyographic signal; The spatiotemporal data decomposition module captures the contraction lead of the zygomatic major muscle and the tremor frequency of the orbicularis oculi muscle of the user's face at a preset sampling frequency, encodes them into a spatiotemporal dislocation tensor, and splits them into data slices of three orthogonal subspaces of the past, present, and future through the non-commutative geometric converter, wherein the past subspace stores the quantum tunneling probability distribution of the historical tactile interface, the present subspace maps the Riemann curvature gradient of the current micro-expression field, and the future subspace stores the pre-generated instruction set of the quantum context engine; the counterfactual entropy value reconstruction module calculates the Riemann curvature of the current emotional entropy in the forward channel, and at the same time injects the future evaluation results into the historical buffer area through quantum teleportation in the reverse channel, and compares the two channels in S 1 The phase difference on the topological ring dynamically adjusts the imaginary coefficient of the emotional potential energy equation. The adjustment process improves the sensitivity of depression tendency detection, and the improvement is proportional to the square of the phase difference. The phase difference threshold is set to 1.7 times the statistical peak value of the background noise of the quantum tunneling sensor; The quantum context engine module inputs the corrected entropy value into the superconducting quantum interferometer to generate a virtual-reality fusion scene containing a self-referential instruction set. The virtual character behavior pattern is based on the covariance matrix of the user's historical interaction data and is transformed into a non-diagonalized correlation matrix. The object motion trajectory in the AR environment encodes the Betty number differential equation of the emotional manifold. After the user's physiological response is analyzed by the Čech complex, if a non-commutative geometric correlation is detected, the homology group splitting protocol is triggered to lock the causal chain; the time anchor point welding module converts the quantum state measurement result into a spatiotemporal phase stamp, which is written into the tactile interface lattice defect through a two-dimensional electron gas device. The defect forms a potential barrier to constrain the transmission path of the new tactile signal. At the same time, the historical data reversely modulates the quantum tunneling probability through the quantum Hall effect to ensure that the data packet must pass through the potential barrier of at least three time anchor points, otherwise the quantum decoherence will cause the data loss rate to exceed the critical threshold. After completing a preset cycle, the self-destructive evolution module erases the original data of the earliest two rounds of interactions but retains the space-time phase stamp, compiles the current quantum circuit parameters into a topological insulator structure, reconstructs the feature space basis of the emotion classifier through the Majorana fermion braiding technology, changes the braid group representation of the electronic transmission path at the hardware layer, and ensures that reverse engineering cannot restore the original logic; the quantum timing identifier generation module attaches quantum superposition state identifiers of past and future time to the data packet through the superconducting quantum interferometer, triggering the quantum Zeno effect when the non-quantum system is analyzed, causing the information to collapse into a noise signal; the shell of the wearable head-mounted device uses a two-dimensional material heterojunction, whose crystal orientation forms a 45° angle with the electron spin polarization direction of the quantum tunneling sensor to enhance the potential barrier constraint effect of the time anchor point; the entire system realizes dynamic evaluation and adaptive evolution of emotional state in closed-loop operation.

[0023] Example 2: This embodiment is based on the first embodiment, and its main difference lies in the optimization of the microcurrent stimulation strategy of the quantum predictive tactile module and the data slicing logic of the spatiotemporal data decomposition module. When the user touches the tactile interface, the quantum predictive tactile module no longer uses a virtual tactile scene with a fixed duration. Instead, it dynamically adjusts the scene duration based on the quantum tunneling probability distribution of the user's historical interaction data, so that it changes adaptively within the range of 1 / 3 to 2 / 3 of the decoherence time. At the same time, the amplitude of the microcurrent stimulation is no longer proportional only to the square root of the intensity of the emotional tendency, but introduces the phase difference feedback of the counterfactual entropy reconstruction module, so that the amplitude is proportional to the cube of the phase difference, thereby enhancing the accuracy of the pre-trigger signal. When capturing the response of facial muscle groups, the spatiotemporal data decomposition module adds monitoring of masseter muscle microtwitch, encodes the coordinated response of zygomatic major, orbicularis oculi and masseter muscles into a high-order spatiotemporal dislocation tensor, and expands the data slices from three orthogonal subspaces to four through the non-commutative geometric converter. The newly added subspace is used to store the quantized features of the user's voice spectrum, which are converted into spatiotemporal phase stamps through the superconducting quantum interference device and written into the future subspace. When comparing the phase difference between the two channels, the counterfactual entropy reconstruction module no longer relies solely on S 1 topological ring, but introduces S 2 Spherical topology analysis makes the coefficients of the imaginary terms in the emotion potential energy equation more consistent with the multidimensional emotion manifold; When the quantum scenario engine module generates a virtual-reality fusion scene, the virtual character behavior pattern is no longer based solely on the unitary transformation of the covariance matrix, but is combined with the historical potential barrier data of the time anchor point welding module to generate a non-diagonalized correlation matrix with time-space constraints; when erasing the original data, the self-destructive evolution module no longer retains all time-space phase stamps, but only retains the anchor point most relevant to the current emotion classifier feature space basis, and the remaining data is completely annihilated through the Majorana fermion weaving technology; the heterogeneous crystal orientation arrangement angle of the two-dimensional material of the wearable head-mounted device is adjusted from 45° to 60° to further optimize the potential barrier constraint effect; the implementation process of the remaining modules is exactly the same as that of Example 1, and the final system completes the emotion assessment with higher accuracy and stronger anti-interference ability.

[0024] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A mental health assessment system based on emotional interaction, characterized by: It includes quantum prediction tactile module, space-time data disassembly module, counterfactual entropy reconstruction module, quantum situation engine module, time anchor point welding module, quantum time sequence identifier generation module and self-destructive evolution module. The quantum pre-judgment tactile module includes a quantum tunneling sensor, which measures the probability of electron spin state transitions under a pressure gradient based on the direction of electron spin polarization. When a user touches the tactile interface, it generates multiple sets of future virtual tactile scenes and injects microcurrent stimulation through reverse acoustic waves to trigger pre-reaction electrical signals in the user's subcutaneous nerve endings. The tactile interface is a piezoelectric film surface acoustic wave interactive interface integrated into a wearable head-mounted device. The future virtual tactile scene is a simulated tactile signal sequence generated based on the user's historical data and the quantum tunneling probability distribution. The spatiotemporal data decomposition module captures the asynchronous response of the user's facial muscles to the prediction signal through a non-commutative geometric converter and decomposes it into data slices of three orthogonal subspaces: past, present, and future; The counterfactual entropy reconstruction module calculates the Riemann curvature of the current emotional entropy through the forward channel, and injects the future evaluation results into the current tactile interface history buffer through the reverse channel, and compares the phase difference between the two channels to dynamically correct the emotional potential energy equation. The quantum scenario engine module generates a virtual-reality fusion scenario containing a self-referential instruction set based on the corrected entropy value, and forms a causal closed loop through topological analysis of the user's physiological response; The time anchor welding module converts the quantum state measurement results into spatiotemporal phase stamps and writes them into the tactile interface lattice defects, so that the historical data reversely modulates the current sensor tunneling probability; The self-destructive evolution module includes Majorana fermion weaving technology, which erases the original data and reconstructs the electronic transmission path of the hardware layer after a preset period, realizing the irreversible evolution of the system logic; The quantum time sequence identifier generation module generates a time-space phase stamp through a superconducting quantum interferometer, and adds a quantum superposition state identifier of the past and future time to the data packets between modules; The quantum pre-judgment tactile module and the micro-expression field sensor array are integrated into a wearable head-mounted device, which has a built-in superconducting quantum chip, a superconducting quantum interference device and a topological insulator array.

2. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: When the user's fingertips touch the tactile interface, the quantum pre-judgment tactile module generates multiple groups of future virtual tactile scenes based on the coherence time of the superconducting quantum bits of the superconducting quantum chip, generates reverse-traveling surface acoustic waves through the piezoelectric film, and injects microcurrent stimulation into the subcutaneous nerve endings before the user perceives the actual press. The amplitude of the microcurrent stimulation is nonlinearly proportional to the square root of the emotional tendency intensity of the virtual scene, and the duration of each group of scenes is between 1 / 3 and 2 / 3 of the decoherence time of the quantum bit, triggering pre-trigger electromyographic signals of the user's subcutaneous nerve endings.

3. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The spatiotemporal data decomposition module captures the contradictory responses of the user's facial muscles to the prediction signal at a preset sampling frequency, encodes the lead amount of zygomatic major contraction and the orbicularis oculi muscle tremor frequency into a spatiotemporal dislocation tensor, and splits the continuous time series into data slices of three orthogonal subspaces through the non-commutative geometric converter. The past subspace retains the quantum tunneling probability distribution of the historical tactile interface, the present subspace maps the Riemann curvature gradient of the current micro-expression field, and the future subspace stores the pre-generated instruction set of the quantum context engine.

4. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The counterfactual entropy reconstruction module calculates the Riemann curvature of the emotional entropy according to the physical time flow in the forward channel, and at the same time injects the future evaluation results into the current tactile interface history buffer area through quantum teleportation in the reverse channel. 1 The phase difference on the topological ring dynamically adjusts the coefficient of the imaginary term of the emotional potential energy equation. The adjustment process triggers an increase in the sensitivity of depressive tendency detection, and the increase is proportional to the square of the phase difference. The phase difference threshold is set to 1.7 times the statistical peak value of the background noise of the quantum tunneling sensor; the depressive tendency detection sensitivity is defined as the functional relationship between the rate of change of the imaginary term coefficient of the emotional potential energy equation and the phase difference.

5. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The quantum context engine module inputs the corrected entropy value into a superconducting quantum interferometer to generate a virtual-reality fusion scene containing a self-referential instruction set. The behavior pattern of the virtual character in the scene is based on the covariance matrix of the user's historical interaction data, which is transformed into a non-diagonalized correlation matrix through a unitary transformation. The Betti number differential equation of the emotional manifold is encoded through the object motion trajectory in the AR environment. After the user's physiological response to the scene is analyzed by the Čech complex, if a non-commutative geometric correlation is detected between the current evaluation result and the historical injection data, the homology group splitting protocol is triggered to lock the causal chain. The Betti number differential equation is a differential constraint relationship formed by the first Betti number in algebraic topology and the curvature change rate of the object motion trajectory.

6. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The time anchor point welding module converts the quantum state measurement results into spatiotemporal phase stamps, and writes them into lattice defects of the tactile interface through a two-dimensional electron gas device. The defects form potential barriers that constrain the transmission path of new tactile signals. At the same time, historical evaluation data reversely modulates the tunneling probability of the quantum tunneling sensor through the quantum Hall effect, so that the data packet generated by each interaction must traverse the potential barriers of at least three different time anchor points, and the absence of any anchor point will cause the data packet loss rate caused by quantum decoherence to exceed a critical threshold.

7. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: After the self-destructive evolution module completes the evaluation closed loop of the preset period, it erases the original data of the earliest two rounds of interaction but retains their spatiotemporal phase stamps, compiles the current quantum circuit parameters into a topological insulator topological structure, and reconstructs the feature space basis of the emotion classifier through the Majorana fermion weaving technology. The reconstruction process changes the topological structure of the electronic transmission path of the hardware layer, and after each evolution, the quantum bit decoherence time forms a dynamic coupling relationship with the topological insulator phase transition temperature, ensuring that reverse engineering cannot restore the initial logic; the Majorana fermion weaving technology reconstructs the feature space basis through the topological weaving operation of Majorana zero-energy mode, which changes the braid group representation of the electronic transmission path.

8. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The quantum timing identifier generation module generates a space-time phase stamp through the superconducting quantum interferometer. The phase stamp attached to each data packet is a quantum superposition state of past and future time. Since the non-quantum data processing system cannot resolve the time dimension of this superposition state, the quantum Zeno effect is triggered during the data parsing stage, causing the information to collapse into random noise information.

9. The mental health assessment system based on emotional interaction according to claim 1, characterized in that: The hardware layers of the tactile interface and the micro-expression field reconstruction device are integrated into the wearable head-mounted device. The wearable head-mounted device has the superconducting quantum chip and the topological insulator array built in. The shell of the wearable head-mounted device uses a two-dimensional material heterojunction with a quantum confinement effect. The crystal orientation arrangement of the two-dimensional material heterojunction forms a 45° angle with the electron spin polarization direction of the quantum tunneling sensor to enhance the potential barrier confinement effect of the time anchor point.