Implantable language education VR device capable of generating artificial intelligence enabling

Abstract

The invention discloses a generative artificial intelligence enabled implantable language education VR device, and belongs to the crossing field of artificial intelligence and implantable devices, the device adopts a three-layer composite biocompatible structure such as a bionic phospholipid double-layer membrane, and long-term stable operation is ensured when the device is located in an eyeball. Multi-mode sensing modules such as iris tracking are integrated to collect data in real time, synchronous interaction of 50 persons is supported by combining terahertz MU-MIMO communication and a photon interconnection technology, a dynamic cognitive evaluation model (DCT) is provided by relying on a 3D stacked chip to quantify knowledge mastery and ideological and political expressions, AI is driven to optimize teaching content in real time, and the teaching efficiency is improved. And in combination with a fixation point rendering technology, an immersive and personalized ocean education scene with low delay and high resolution is provided. The method is remarkably innovated in the aspects of artificial intelligence algorithm and VR equipment miniaturization design, and has a very wide application prospect.

Description

Technical Field

[0001] The present invention belongs to the intersection of artificial intelligence and implantable devices, and specifically relates to an implantable language education VR device enabled by generative artificial intelligence. Background Art

[0002] Currently, the application of virtual reality (VR) technology in the field of education is becoming increasingly widespread, but traditional VR educational equipment still has significant limitations. Mainstream head-mounted VR devices are heavy, causing discomfort when worn for a long time. Not only are their multi-user concurrent capabilities insufficient, usually not exceeding 12 people, and have high latency, but the teaching content is rigid and lacks real-time analysis of cognition and values, resulting in low knowledge retention and weak ideological and political education effects. Existing educational AI technologies still rely on single-dimensional evaluation, do not deeply integrate multimodal data, cannot capture spatiotemporal correlation behaviors such as gesture trajectories and iris micro-movements, and ignore value cognition analysis, resulting in mechanical and rigid teaching strategies, low ideological and political penetration, high response delay, and difficulty in achieving real-time dynamic optimization. Marine education has the problem that traditional means cannot intuitively present three-dimensional dynamic scenes and quantify ideological and political cognition, and the teaching effect is shallow. Therefore, it is very necessary to design an ultra-miniaturized and intelligent VR marine education device that meets the needs of the times. In this invention, an implantable language education VR device enabled by generative artificial intelligence is proposed.

[0003] Advances in ocular implant technology and optical display technology provide technical support for this invention. In recent years, significant progress has been made in ocular implant technology. Building on the proven experience of ICL lens surgery and incorporating flexible electronic processes, ultra-thin devices are possible. Continuous innovations in biomaterials have enabled long-term implant safety to meet medical-grade standards. Optical display technology, through triple breakthroughs in ultra-high resolution, dynamic bioadaptation, and energy efficiency optimization, not only addresses the bulk and health risks of traditional VR but also redefines the performance boundaries of implantable devices.

[0004] In this paper, considering the lack of new VR devices that meet the needs of the times, a generative AI-powered implantable language education VR device is proposed, which can be applied to marine intelligent education and other related fields. Through the deep interdisciplinary coupling of biology, artificial intelligence, electronics, and optics, this invention overcomes the technical barriers of miniaturization, intelligence, real-time interaction, energy self-sufficiency, and educational depth of implantable devices. It redefines the evaluation dimensions and implementation methods of intelligent education, and provides a disruptive solution for other fields such as marine science education, medical rehabilitation, and industrial design. Summary of the Invention

[0005] In response to the current problems in the field of VR equipment education, the present invention provides an implantable language education VR device enabled by generative artificial intelligence. It analyzes the user's multimodal data through AI models, provides a teaching optimization solution for the control end, realizes synchronous interaction of 50 people, and optimizes real-time dynamic courses, providing users with high-quality immersive marine education scenarios.

[0006] The object of the present invention is achieved through the following technical solutions: an implantable language education VR device empowered by generative artificial intelligence, the device comprising a biocompatible module, a sensing and optical display module, an energy module, a communication positioning and computing module, and a fixing and supporting module;

[0007] The biocompatible module is used to ensure that the device is in the eyeball for a long time without rejection and without interfering with the physiological activities of the eye, maintain the aqueous humor circulation and provide a biological interface support for the glucose input of the energy module, while providing a mechanical buffer for the fixation module;

[0008] The sensing and optical display module is used to collect multimodal data such as eye movement, voice, gesture and environment, and transmit these data to the communication positioning and computing module, respond to computing instructions, and render the virtual scene in real time;

[0009] The energy module is used to receive the radio frequency energy absorbed by the communication positioning and computing module, and to power all other modules based on the aqueous humor power generation of glucose combined with the biofuel cell;

[0010] The communication positioning and computing module receives multimodal data transmitted by the sensor and optical display module, analyzes the data through the AI ​​model to optimize the teaching content, and feeds back the relevant content to the sensor and optical display module; at the same time, it realizes multi-person synchronous interaction and sends the user's location and behavior analysis report to the control terminal and synchronizes the virtual scene data with the control terminal;

[0011] The fixing and supporting module is used to calibrate the device implantation angle and ensure that the device stably fits the intraocular structure. It is designed in coordination with the biocompatible module to avoid mechanical damage.

[0012] Furthermore, the biocompatible module includes a biomimetic phospholipid bilayer membrane, a nanodiamond coating and a heparinized hydrogel layer. These three closely adjacent membranes are located at the junction with the anterior chamber of the eyeball, that is, the outermost layer of the device; the three work together to ensure the long-term biocompatibility and functional stability of the implanted device. The central area of ​​the heparinized hydrogel layer is provided with three central holes for maintaining the normal aqueous humor metabolic pathway and supplying glucose and oxygen to the aqueous humor power generation device of the energy module; two axial alignment marks are provided between the central holes to determine the axial direction of the device when the device is implanted into the eye.

[0013] Furthermore, the sensing and optical display module includes a nano-scale camera, a micro-microphone, a holographic grating device, a ring-shaped Micro-LED array, a piezoelectric ceramic deformer and an iris tracking module; the nano-scale camera is located in the center of the module and is used to monitor user gestures and the environment in real time. Its outer wall is connected to the piezoelectric ceramic deformer. The outer ring of the piezoelectric ceramic deformer is provided with a micro-microphone and a holographic grating device. The holographic grating device is surrounded by a ring-shaped Micro-LED array; the micro-microphone is used for voice interaction, and the iris tracking module has 8 detection electrodes to capture iris micro-movement signals in real time; these monitored multimodal signal data are transmitted to the communication positioning and computing module, and after data analysis, the piezoelectric ceramic deformer is driven to complete the curvature adjustment. At the same time, the holographic grating device synchronously updates the projection angle. The holographic grating device, the ring-shaped Micro-LED array and the piezoelectric ceramic deformer jointly respond to the computing instructions to realize "point of gaze rendering" and combine with the ring-shaped Micro-LED array to achieve high resolution and low latency.

[0014] Furthermore, the energy module includes an aqueous humor power generation device, a biofuel cell and a hybrid power supply device, which are respectively distributed around the iris tracking module and connected by micro-wires, and finally the ends of the micro-wires are led out from the guide holes; the aqueous humor power generation device generates electricity through the glucose oxidation reaction and transmits the generated electricity to the biofuel cell through the micro-wires; the biofuel cell receives the original bioelectricity transmitted by the aqueous humor power generation device as a secondary energy processing unit, and realizes voltage increase through multi-substrate efficient conversion; specifically, its substrates include gluconolactone CHO, the residual product of glucose oxidation in the aqueous humor, the metabolic intermediate lactic acid CHO, dissolved oxygen O and sodium and potassium ions Na + / K + ; Lactate oxidase catalyzes the conversion of lactate into pyruvate to supplement the electron flow; laccase on the cathode side is responsible for catalyzing the reduction of dissolved oxygen to form a complete circuit; and sodium and potassium ions establish a transmembrane electrochemical gradient through the Nafion ion exchange membrane, accelerating proton migration and reducing internal resistance, thereby increasing the output voltage from 0.5V to 3.3V; the increased voltage is transmitted to the hybrid power supply device through microwires; the hybrid power supply device integrates the energy provided by the biofuel cell and the radio frequency energy absorbed by the communication positioning and computing module, and supplies power to other modules through microwires and guide holes; the guide holes are used to connect biocompatible modules to complete material-energy exchange, receive energy absorbed by the terahertz antenna array, and provide a path for powering other modules.

[0015] Furthermore, the communication positioning and computing module includes a photonic interconnection device, a 3D stacked computing chip and a terahertz antenna array; the photonic interconnection device is located at the bottom layer and serves as the hub of optical-electrical hybrid signals, used to realize optical-electrical signal conversion and anti-interference protection; a 3D stacked computing chip is arranged on the upper layer of the photonic interconnection device, which cooperates with the 128k neuron neuromorphic processor through the MRAM storage and computing integrated architecture and the miniaturized design of bioglass packaging to realize real-time reasoning of ocean knowledge graphs, DCT spatiotemporal attention calculations and 8K holographic light field rendering, supports dynamic power consumption domain switching, and provides the teacher control end with precise teaching optimization solutions for each student; the terahertz antenna array is arranged on the top and around the 3D stacked computing chip, realizes wireless communication and energy capture through 64-unit resonators, supports high-speed data transmission of 10Gbps / channel, combines terahertz MU-MIMO communication and photonic interconnection technology support, realizes multi-user interaction and submillimeter positioning, and receives 2.45GHz energy waves emitted by external base stations through micro-wires and guide holes to replenish burst energy for the energy module.

[0016] Furthermore, the fixing and supporting module includes a fixed edge, porous silicone, a degradable anchoring claw and a direction mark; the fixed edge located at the edge of the device provides support for the entire device, disperses mechanical stress together with the porous silicone, and calibrates the implantation angle in combination with the direction mark; the direction mark is arranged around the fixed edge to assist in positioning during the implantation process, and together with the axis alignment mark ensures the axial accuracy of the device; the porous silicone is arranged at the junction with the posterior chamber of the eyeball, for mechanical buffering and absorption of periodic pressure fluctuations of the lens capsule, and cooperates with the degradable anchoring claw to achieve progressive fixation; a degradable anchoring claw is provided in the central area of ​​the porous silicone, that is, at the contact point with the surface of the eyeball lens, for temporary fixation of the device, the degradable anchoring claw provides mechanical anchoring force, and after degradation, the porous silicone takes over to support the device.

[0017] Beneficial effects of the present invention: The present invention proposes an implantable language education VR device empowered by generative artificial intelligence. The device adopts a three-layer composite biocompatible structure such as a bionic phospholipid bilayer membrane to ensure long-term stable operation when inside the eyeball. The present invention integrates multi-modal sensing modules such as iris tracking to collect data in real time, and combines terahertz MU-MIMO communication and photonic interconnection technology to support 50 people to interact simultaneously. Relying on 3D stacked chips, the present invention proposes a dynamic cognitive assessment model (DCT) to quantify users' knowledge mastery and ideological and political performance, drives AI to optimize teaching content in real time, and combines foveation rendering technology to provide low-latency, high-resolution immersive and personalized marine education scenes. The present invention has made innovations in many aspects such as hardware design, multi-user interaction and artificial intelligence teaching optimization. It not only expands the in-depth application of VR equipment in marine language education, but also provides technical references for many fields such as smart medical care and immersive games. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0019] Figure 2 The position of the present invention in the eyeball and its explosion diagram;

[0020] Figure 3 This is a perspective schematic diagram of the outermost layer and the innermost layer of the present invention;

[0021] Figure 4 It is a schematic diagram of the internal structure and cross-section of the present invention;

[0022] Figure 5 Schematic diagram of the distribution of the sensor and optical display modules of the present invention;

[0023] Figure 6 This is a schematic diagram of the energy module distribution of the present invention;

[0024] Figure 7 Schematic diagram of the working principle of the closed-loop dynamic focusing system of the present invention;

[0025] Figure 8 This is a schematic diagram of the distribution of communication sensing and computing modules of the present invention;

[0026] Figure 9 Schematic diagram of the construction of the cognitive map of the present invention;

[0027] Figure 10 Schematic diagram of the working principle of the system based on the dynamic cognitive evaluation model of the present invention;

[0028] In the figure: biocompatible module 1; sensing and optical display module 2; energy module 3; communication positioning and computing module 4; fixing and support module 5; center hole 101; axis alignment mark 102; biomimetic phospholipid bilayer membrane 103; nanodiamond coating 104; heparinized hydrogel layer 105; nanoscale camera 201; micro microphone 202; holographic grating device 203; annular Micro-LED array 204; piezoelectric ceramic deformer 205; iris tracking module 206; aqueous humor power generation device 301; biofuel cell 302; hybrid power supply device 303; micro wire 304; guide hole 305; photonic interconnect device 401; 3D stacked computing chip 402; terahertz antenna array 403; fixing edge 501; porous silicone 502; degradable anchoring claw 503; direction mark 504. DETAILED DESCRIPTION

[0029] The present invention will be further described below with reference to the accompanying drawings.

[0030] by Figure 1The figure illustrates the overall appearance and structure of a generative AI-powered implantable language education VR device provided by the present invention. The VR device primarily comprises a biocompatible module 1, a sensing and optical display module 2, an energy module 3, a communication, positioning, and computing module 4, and a fixing and support module 5.

[0031] by Figure 2 The figure below is used as an example to explain the position of the VR device implanted in the eye and the relative hierarchical relationship between the various components of each module. It can be seen that after implantation, the device is placed in the posterior chamber between the iris and the lens. The design of the positional relationship of the different modules of the device is inspired by the stacking design of the PCB circuit board, so as to achieve the placement of as many modules as possible in a small space. Figure 2 It can be clearly seen that the biocompatible module 1 is located adjacent to the anterior chamber of the eyeball, that is, the outermost layer of the device, followed by the sensing and optical display module 2, the energy module 3, the communication positioning and computing module 4 and the fixing and supporting module 5.

[0032] The biocompatible module 1 is used to ensure that the device is in the eyeball for a long time without rejection and without interfering with the physiological activities of the eye. It provides a biological interface support for the central hole 101 to maintain the aqueous humor circulation and the glucose input of the energy module 3, and at the same time provides compatibility guarantee for the mechanical buffer of the fixing module 5.

[0033] The sensing and optical display module 2 is used to collect multimodal data such as eye movement, voice, gesture and environment, and transmit this data to the communication positioning and calculation module 4. The holographic grating device 203, the annular Micro-LED array 204 and the piezoelectric ceramic deformer 205 cooperate to respond to the calculation instructions and render the virtual scene in real time.

[0034] The energy module 3 is used to collect and generate energy and to supply power to all other modules through micro-wires 304 and guide holes 305, with priority given to the high load requirements of the communication computing 4 and the optical display 2. The biocompatible module 1 is connected through the guide holes 305 to complete the material-energy exchange.

[0035] The communication positioning and calculation module 4 receives the multimodal data transmitted by the sensor and optical display module 2, analyzes the data through the AI ​​model to optimize the teaching content, and feeds back to the sensor and optical display module 2 to display relevant content; at the same time, it realizes 50 people's synchronous interaction and sends the user's location and behavior analysis report to the control terminal to synchronize virtual scene data with the control terminal;

[0036] The fixing and supporting module 5 is used to calibrate the device implantation angle and ensure that the device stably fits the intraocular structure. It is designed in coordination with the biocompatible module 1 to avoid mechanical damage.

[0037] by Figure 3The figure shows an example to explain the composition of the surface of the VR device, namely the biocompatible module 1 and the fixing and supporting module 5. Among them, the biocompatible module 1 includes a biomimetic phospholipid bilayer membrane 103, a nanodiamond coating 104 and a heparinized hydrogel layer 105. These three closely adjacent membranes are located at the junction with the anterior chamber of the eyeball. The biomimetic phospholipid bilayer membrane 103 simulates the cell membrane structure, achieving immune camouflage and allowing small molecules (glucose, oxygen) to pass through the transmembrane channel (CN 119114040A: A preparation method and application of a biomimetic phospholipid membrane monolith for screening and separation of antimicrobial peptides); the nanodiamond coating 104 is responsible for corrosion resistance and heat conduction; the heparinized hydrogel layer 105 is responsible for anti-protein adsorption and mechanical buffering (Fan Yang. et al. Inflammation-triggered dual release of nitroxide radical and growth factor from heparin mimicking hydrogel-tissue composite as cardiovascular implants for anti-coagulation, endothelialization, anti-inflammation, and The three elements work together to ensure the long-term biocompatibility and functional stability of the implanted device. Three central holes 101 are provided in the central region of the heparinized hydrogel layer 105 to maintain normal aqueous humor metabolism and supply glucose and oxygen to the aqueous humor power generation device 301 of the energy module 3. Two axis alignment markers 102, located between the central holes 101, determine the axial direction of the device during implantation.

[0038] The fixing and supporting module 5 of the present invention includes a fixing edge 501, a porous silica gel 502, a degradable anchoring claw 503, and a direction mark 504; the fixing edge 501 located at the edge of the device provides support for the entire device, and together with the porous silica gel 502, disperses mechanical stress, and is combined with four direction marks 504 to calibrate the implantation angle; the four direction marks 504 are set at the four corners of the fixing edge 501 to assist in the positioning of the implantation surgery, and together with the axis alignment mark 102, ensure the axial accuracy of the device; the porous silica gel 502 is set at the junction with the posterior chamber of the eyeball, A total of 8 circular holes of the same size are dug in the outer circle of the porous silicone gel 502, which are used to mechanically buffer and absorb the periodic pressure fluctuations of the lens capsule, and cooperate with the degradable anchoring claws 503 to achieve progressive fixation; in the central area of ​​the porous silicone gel 502, that is, in contact with the surface of the eye lens, 4 degradable anchoring claws 503 are provided. These 4 degradable anchoring claws 503 are symmetrical about the center of the circle and are used to achieve temporary fixation of the device. In the early stage of the implantation operation, the degradable anchoring claws 503 provide mechanical anchoring force, and after degradation, the porous silicone gel 502 takes over to support the device.

[0039] by Figure 4 The figure shows the internal module layout of the VR device as an example (except for the device's external surface biocompatible module 1 and the fixing and supporting module 5), showing in detail the specific locations of the components of the sensing and optical display module 2, the energy module 3, and the communication positioning and computing module 4. Figure 4 It can be seen that the equipment fully considers space limitations in the design of the position of modules and components, optimizes the utilization efficiency of narrow space through a compact layout, and ensures the coordination and functional realization between modules.

[0040] by Figure 5 、 6 7 as an example to explain the composition of the VR device sensor and optical display module 2, the working principle of the closed-loop dynamic focusing system and the composition of the energy module 3. The optical display module 2 includes a meter-level camera 201, a micro-microphone 202, a holographic grating device 203, an annular Micro-LED array 204, a piezoelectric ceramic deformer 205 and an iris tracking module 206; the nano-level camera 201 is located in the center of the module, and its outer wall is connected to the piezoelectric ceramic deformer 205. The outer ring of the piezoelectric ceramic deformer 205 is provided with a micro-microphone 202 and a holographic grating device 203. The annular Micro-LED array 204 is distributed around the holographic grating device 203. Figure 7As shown, the closed-loop dynamic focusing system works as follows: The eight detection electrodes of the iris tracking module 206 capture iris micro-movement signals in real time (CN117897679A: Eye Tracking Using Embedded Electrodes in Wearable Devices) and transmit the data to the communication positioning and computing module 4. After receiving the data, the communication positioning and computing module 4 drives the piezoelectric ceramic deformer 205 to dynamically adjust the lens curvature within 1 millisecond. The holographic grating device 203, through precise grating spacing and diffraction interference, can record and reproduce complex wavefront information, achieve beam deflection and scanning, and synchronously update the projection angle, thereby achieving "foveated rendering." At the same time, combined with the ring-shaped Micro-LED array 204, a high-resolution, low-latency immersive display effect is achieved, ensuring a smooth and clear visual experience. In addition, the updated projection angle of the holographic grating device 203 is fed back to the communication positioning and computing module 4 in real time and compared with the iris signal detected by the iris tracking module 206. The system dynamically adjusts the lens curvature and projection angle based on the comparison results to ensure that the projected content always accurately matches the user's gaze point, thereby achieving a closed-loop dynamic focusing function.

[0041] The energy module 3 of the present invention includes an aqueous humor power generation device 301, a biofuel cell 302 and a hybrid power supply device 303, which are distributed around the iris tracking module 206 and are interconnected through micro-wires 304, and are finally led out through the guide hole 305. The aqueous humor power generation device 301 generates electricity by utilizing the glucose oxidation reaction, and realizes energy conversion through the synergistic reaction of releasing electrons by glucose oxidation at the anode and generating water by oxygen reduction at the cathode, and transmits the generated electrical energy to the biofuel cell 302 through the micro-wire 304. The biofuel cell 302 serves as a secondary energy processing unit to receive the raw bioelectricity transmitted by the aqueous humor power generation device 301, and increases the input low voltage of millivolt level to volt level through the "multi-substrate high-efficiency conversion" mechanism. Specifically, its substrates include gluconolactone (C6H 10 O6), metabolic intermediate lactic acid (C3H6O3), dissolved oxygen (O2) and sodium and potassium ions (Na + / K +). Lactate oxidase catalyzes the conversion of lactic acid to pyruvate, replenishing the electron flow; laccase on the cathode side is responsible for catalyzing the reduction of dissolved oxygen to form a complete circuit; and sodium and potassium ions establish a transmembrane electrochemical gradient through the Nafion ion exchange membrane, accelerating proton migration and reducing internal resistance, thereby increasing the output voltage from 0.5V to 3.3V. The boosted electrical energy is transmitted to the hybrid power supply device 303 via the micro-wire 304. The hybrid power supply device 303 integrates the energy provided by the biofuel cell 302 and the radio frequency energy absorbed by the terahertz antenna array 403, and supplies power to other modules via the micro-wire 304 and the guide hole 305. The guide hole 305 is used to connect the biocompatible layer 1 to complete the material-energy exchange, receive the energy absorbed by the terahertz antenna array 403, and provide a path for powering other modules.

[0042] by Figure 8The figure below illustrates the composition of the VR device's communication, positioning, and computing module 4, including a photonic interconnect 401, a 3D stacked computing chip 402, and a terahertz antenna array 403. Located at the bottom layer, the photonic interconnect 401 serves as the hub for hybrid optical and electrical signals. It integrates a multi-channel optical waveguide network and a silicon-germanium avalanche photodiode on a silicon-based photonic chip to achieve efficient conversion of photoelectric signals (IEEE SiPhotonics 2024 | Reconfigurable Optoelectronic Circuits on Silicon-Based Optoelectronic Chips Using Multimode Waveguides). Furthermore, a nanoporous alumina shielding layer is embedded to isolate electromagnetic interference and ensure signal transmission integrity. A 3D stacked computing chip 402 sits atop the photonic interconnect device 401. The underlying layer integrates a 1Gb spin-transfer torque magnetoresistive memory (STM), achieving a storage-computing architecture capable of directly processing ocean knowledge graphs. A 128k-neuron spiking neural network (SNN) is deployed to perform spatiotemporal attention calculations within the dynamic cognitive assessment model (DCT). The upper-layer photon tensor core (PTC) utilizes multiple optical matrix units to render 8K holographic light fields and supports dynamic power domain switching, providing the teacher's control end with a precise, optimized teaching solution for each student. Terahertz antenna arrays 403 are positioned atop and around the 3D stacked computing chip 402. Using 64 resonators, they enable multi-band wireless communication and energy capture, supporting high-speed data transmission at 10Gbps per channel, enabling multi-user interaction for 50 people, submillimeter positioning, and ultra-low end-to-end latency of 35ms. The arrays also receive 2.45GHz energy waves transmitted by an external base station, which are then used to replenish bursts of energy for the energy module 3 via microconductors 304 and vias 305. Furthermore, in biological domain networking, terahertz signals are conducted through human tissue to establish a direct connection channel with implanted devices (such as tactile feedback units), effectively circumventing the penetration loss problem of traditional Bluetooth / BLE. Based on the aforementioned hardware, the dynamic cognitive assessment model (DCT) proposed in this invention achieves a paradigm shift from "single knowledge transfer" to "co-optimization of cognition and values" through a spatiotemporal attention mechanism and a quantitative system for ideological and political education impact factors (SEIF). It dynamically analyzes user knowledge mastery and ideological and political performance, and drives AI to provide strategies for optimizing teaching content, with the teacher ultimately making decisions on the control side.

[0043] by Figure 9 、 10The following is an example to explain the working principle of the VR device based on the dynamic cognitive assessment model. Taking marine education as an example, the system uses the iris tracking module 206, nano-level camera 201, micro-microphone 202 and other sensors implanted in the device to capture the user's iris micro-movement signals, gestures, gaze hotspot distribution and environmental information in real time. At the same time, it combines the concentration monitoring and semantic question-answering analysis modules to form a multi-dimensional behavior and cognitive data stream. After the data stream is input into the DCT core processor, the spatiotemporal attention mechanism analyzes the student user's gaze duration, knowledge point jump frequency and other time correlation and spatial distribution characteristics through the pulse neural network (SNN) to model; the multimodal temporal fusion module integrates heterogeneous data such as eye movement, voice, gesture, etc. to construct a dynamic cognitive map (such as Figure 9 The data after the above processing enters the cognitive entropy calculation module, and its core formula is defined as:

[0044]

[0045] (1) Where: H cog Represents the value of cognitive entropy; T i represents the duration of the student's gaze on the i-th knowledge point, N represents the number of knowledge points; T total represents the total learning time; F represents the number of knowledge point jumps per unit time; F max represents the preset threshold frequency; γ represents the penalty coefficient (default 0.5), which is used to suppress the negative impact of disordered jumps on cognitive stability; ε represents the gain coefficient (default 0.3). The higher the accuracy, the lower the cognitive entropy, reflecting the stability of knowledge retention; A represents the real-time accuracy of the semantic question answering module.

[0046] H Threshold Indicates whether the cognitive entropy threshold of thinking is divergent. When H cog >H Threshold (e.g. 2.5 bits), the system determines that the student is in a state of divergent thinking, which may lead to cognitive confusion due to information overload or lack of interest; H cog <H Threshold, it is marked as a cognitive convergence state, indicating that the student's understanding of the current knowledge chain is systematic. The cognitive entropy calculation module further estimates the stability of the student user's cognitive state and the change in information entropy, and dynamically identifies the knowledge retention rate and the trend of divergent thinking. Finally, through the ideological and political influence factor module, combined with the path guidance algorithm (CN116521997A: A personalized learning path recommendation method based on reinforcement learning), the ideological and political cognitive deviation value of the student user's cognition of national sovereignty is calculated. Specifically, in the ideological and political influence factor module, the system first pre-processes the cognitive sequence output by the path guidance algorithm, removes invalid nodes caused by other sensor delays such as blinking, and maps behaviors such as "questioning sovereignty boundaries" and "recognizing international legal principles" to discrete cognitive node numbers. Subsequently, the student's actual cognitive path is sequentially aligned with the optimal cognitive path obtained based on reinforcement learning training, and dynamic time warping is used to measure the degree of deviation between the two in the time dimension and node order to obtain the original deviation score D. raw In order to eliminate the influence of path length differences, the maximum path length is normalized to the interval [0,1], as shown in the following formula (2). After calculation, the normalized deviation value D is obtained. norm . And combined with the predefined multi-dimensional ideological and political influence factor weight W i (such as national sovereignty sensitivity, historical emotional value, etc.) and perform weighted summation to finally calculate the ideological and political cognitive bias value δ SEIF , specifically calculated as follows (3). This deviation value accurately reflects the gap between students’ national sovereignty cognition dimension and the teaching goal path, and can be directly used as the key dimension input in the multidimensional value evaluation matrix, and combined with the cognitive entropy value H calculated in the previous cognitive entropy module cog Output batched student value assessment results.

[0047]

[0048] (2) Where D norm represents the normalized deviation value; P user represents the node sequence that the student actually walked through; P opt represents the optimal sequence; D raw It represents the original deviation score, reflecting the cumulative distance between the student's actual cognitive path and the optimal path.

[0049]

[0050] (3) In the formula, δ SEIF It refers to the ideological and political cognitive deviation value, which reflects the overall distance between students’ national sovereignty cognition dimension and the teaching goal path; W i It represents pre-set multi-dimensional ideological and political priorities, such as national sovereignty sensitivity, historical emotional value and legal recognition.

[0051] The DCT model is based on the dual-dimensional evaluation of cognitive entropy and SEIF, and reconstructs teaching content through the course DNA reconstruction algorithm (Adaptive Learning Using Artificial Intelligence in e-Learning: A Literature Review). If it detects "weak knowledge of ocean acidification", the system automatically inserts South China Sea scientific expedition cases to strengthen scientific cognition; to address "national sovereignty cognitive bias", it loads maritime legal and political debate scenarios to correct value biases through immersive interaction; and for users with "high interest in ecological restoration", it dynamically strengthens mangrove planting tasks to increase practical participation.

[0052] The system then pushes the optimized plan to the teacher's console, where AI generates three teaching paths: 1. Cognitive Enhancement Path: Targeting knowledge weaknesses with specialized training; 2. Value Guidance Path: simulating ideological and political conflicts and decision-making through virtual scenarios; and 3. Interdisciplinary Connection Path: Dynamically linking marine science with disciplines such as history and law. The teacher's console can then manually review the AI ​​recommendations. The final decision is then synchronized to all student devices via a terahertz antenna array, ensuring that the teaching content adheres to the syllabus and ideological and political requirements.

[0053] The optimized teaching content is converted into 8K retinal imaging through the holographic grating device 203 and the annular Micro-LED array 204 projection system. At the same time, the system continuously monitors user feedback data (such as iris micro-movement frequency, question-answering accuracy, etc.), forming a closed loop of "data acquisition → cognitive assessment → dynamic optimization → scene rendering". The energy module 3 achieves self-sustaining power supply through aqueous humor power generation and terahertz energy capture, and the communication positioning and computing module 4 supports 50 people's simultaneous interaction and sub-millimeter positioning. All teaching effect data (such as knowledge retention rate and ideological and political scores) are uploaded to the cloud knowledge base to drive the continuous iteration of the DCT model, realizing the full-cycle quantification and intelligent upgrade of educational effects. Through the deep coupling of artificial intelligence algorithms and implantable hardware, the system breaks through the limitations of one-way knowledge transfer in traditional education, realizes the innovation of the education paradigm from knowledge transfer to the joint shaping of cognition and values, and provides a high-precision, low-latency closed-loop solution for intelligent education. In addition to providing a great boost to the development of education, the invention of this device also provides an innovative solution for the development of gaming, medical care, military and other fields. In addition, with the continuous advancement and development of science and technology, the ultra-miniaturization and intelligence of this device make it possible to gradually replace smartphones and become a necessity in people's daily lives.

[0054] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A generative artificial intelligence-enabled implantable language education VR device, characterized by: The device comprises a biocompatible module (1), a sensing and optical display module (2), an energy module (3), a communication positioning and computing module (4), and a fixing and supporting module (5); The biocompatible module (1) is used to ensure that the device is in the eyeball for a long time without rejection and without interfering with the physiological activities in the eye, maintains the aqueous humor circulation and provides a biological interface support for the glucose input of the energy module (3), while providing a mechanical buffer for the fixing module (5); The sensing and optical display module (2) is used to collect eye movement, voice, gesture and environmental multimodal data, and transmit these data to the communication positioning and calculation module (4), respond to calculation instructions, and render the virtual scene in real time; The energy module (3) is used to receive radio frequency energy absorbed by the communication positioning and calculation module (4), and to power all other modules based on glucose aqueous humor power generation combined with a biofuel cell; The communication positioning and calculation module (4) receives the multimodal data transmitted by the sensor and optical display module (2), optimizes the teaching content through AI model analysis of the data, and feeds back the relevant content to the sensor and optical display module (2); at the same time, it realizes multi-person synchronous interaction and sends the user's position and behavior analysis report to the control terminal and synchronizes the virtual scene data with the control terminal; The fixing and supporting module (5) is used to calibrate the device implantation angle and ensure that the device stably fits the intraocular structure, and is designed in coordination with the biocompatible module (1) to avoid mechanical damage.

2. The generative artificial intelligence-enabled implantable language education VR device according to claim 1, characterized in that: The biocompatible module (1) includes a biomimetic phospholipid bilayer membrane (103), a nano-diamond coating (104) and a heparinized hydrogel layer (105). These three closely adjacent membranes are located at the junction with the anterior chamber of the eyeball, i.e., the outermost layer of the device. The three layers work together to ensure the long-term biocompatibility and functional stability of the implanted device. The central area of ​​the heparinized hydrogel layer (105) is provided with three central holes (101) for maintaining the normal aqueous humor metabolic pathway and supplying glucose and oxygen to the aqueous humor power generation device (301) of the energy module (3). Two axis alignment marks (102) are provided between the central holes (101) for determining the axial direction of the device when the device is implanted into the eye.

3. The generative artificial intelligence-enabled implantable language education VR device according to claim 1, characterized in that: The sensing and optical display module (2) comprises a nano-scale camera (201), a micro-microphone (202), a holographic grating device (203), an annular Micro-LED array (204), a piezoelectric ceramic deformer (205) and an iris tracking module (206); the nano-scale camera (201) is located in the center of the module and is used to monitor user gestures and the environment in real time; its outer wall is connected to the piezoelectric ceramic deformer (205); the outer ring of the piezoelectric ceramic deformer (205) is provided with a micro-microphone (202) and a holographic grating device (203); the annular Micro-LED array (204) is distributed around the holographic grating device (203); ); the micro microphone (202) is used for voice interaction, and the iris tracking module (206) has 8 detection electrodes to capture iris micro-motion signals in real time; the monitored multimodal signal data are transmitted to the communication positioning and calculation module (4), and after data analysis, the piezoelectric ceramic deformer (205) is driven to complete curvature adjustment, and at the same time, the holographic grating device (203) synchronously updates the projection angle. The holographic grating device (203), the annular Micro-LED array (204) and the piezoelectric ceramic deformer (205) cooperate to respond to the calculation instructions to realize "focal point rendering", and combine with the annular Micro-LED array (204) to achieve high resolution and low delay.

4. The generative artificial intelligence-enabled implantable language education VR device according to claim 3, characterized in that: The energy module (3) includes an aqueous humor power generation device (301), a biofuel cell (302) and a hybrid power supply device (303), which are respectively distributed around the iris tracking module (206) and connected by a micro-wire (304). Finally, the end of the micro-wire (304) is led out from the guide hole (305); the aqueous humor power generation device (301) generates electricity through the glucose oxidation reaction and transmits the generated electricity to the biofuel cell (302) through the micro-wire (304); the biofuel cell (302) receives the aqueous humor power as a secondary energy processing unit. The original bioelectricity transmitted by the electrical device (301) is converted into voltage through efficient conversion of multiple substrates; specifically, its substrates include gluconolactone CHO, the residual product after glucose oxidation in the aqueous humor, the metabolic intermediate lactic acid CHO, dissolved oxygen O, and sodium and potassium ions Na+ / K+; lactate oxidase catalyzes the conversion of lactate into pyruvate to supplement the electron flow; laccase on the cathode side is responsible for catalyzing the reduction of dissolved oxygen to form a complete circuit; and sodium and potassium ions establish a transmembrane electrochemical gradient through the Nafion ion exchange membrane, accelerating proton migration and reducing internal resistance, thereby increasing the output voltage from 0.5V to 3.3V; The increased voltage is transmitted to a hybrid power supply device (303) via a micro-conductor (304); the hybrid power supply device (303) integrates the energy provided by the biofuel cell (302) and the radio frequency energy absorbed by the communication positioning and computing module (4), and supplies power to other modules via the micro-conductor (304) and the guide hole (305); the guide hole (305) is used to connect the biocompatible module (1) to complete the material-energy exchange, receive the energy absorbed by the terahertz antenna array (403), and provide a path for powering other modules.

5. The generative artificial intelligence-enabled implantable language education VR device according to claim 1, characterized in that: The communication positioning and computing module (4) includes a photonic interconnection device (401), a 3D stacked computing chip (402) and a terahertz antenna array (403); the photonic interconnection device (401) is located at the bottom layer and serves as a hub for optical-electrical hybrid signals, for realizing photoelectric signal conversion and anti-interference protection; a 3D stacked computing chip (402) is provided on the upper layer of the photonic interconnection device (401), and realizes real-time reasoning of ocean knowledge graphs, DCT spatiotemporal attention calculation and 8K full-scale image processing through the MRAM storage and computing integrated architecture and the 128k neuron neuromorphic processor, combined with the miniaturized design of bioglass packaging. The invention adopts light field rendering and supports dynamic power consumption domain switching, providing the teacher control end with a precise teaching optimization plan for each student; the terahertz antenna array (403) is set on the top and around the 3D stacked computing chip (402), realizes wireless communication and energy capture through 64 unit resonators, supports 10Gbps / channel high-speed data transmission, combines terahertz MU-MIMO communication and photonic interconnection technology support, realizes multi-user interaction and sub-millimeter positioning, and receives 2.45GHz energy waves emitted by external base stations through micro-conductors (304) and guide holes (305) to supplement the energy module (3) with sudden energy.

6. The generative artificial intelligence-enabled implantable language education VR device according to claim 1, characterized in that: The fixing and supporting module (5) comprises a fixing edge (501), porous silica gel (502), a degradable anchoring claw (503) and a direction mark (504); the fixing edge (501) located at the edge of the device provides support for the entire device, disperses mechanical stress together with the porous silica gel (502), and calibrates the implantation angle in combination with the direction mark (504); the direction mark (504) is arranged around the fixing edge (501) to assist in positioning during the implantation process, and together with the axis alignment mark (102) At the same time, the axial accuracy of the device is ensured; the porous silica gel (502) is arranged at the junction with the posterior chamber of the eyeball, and is used to mechanically buffer and absorb the periodic pressure fluctuations of the lens capsule, and cooperates with the degradable anchoring claw (503) to achieve progressive fixation; a degradable anchoring claw (503) is arranged in the central area of ​​the porous silica gel (502), that is, at the contact point with the surface of the eyeball lens, for achieving temporary fixation of the device, and the degradable anchoring claw (503) provides mechanical anchoring force, and after degradation, the porous silica gel (502) takes over and supports the device.

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