41 results about "Head model" patented technology

1. The name of the design product: headscarf (Yanyulan). 2. The use of the design product: for decorative headscarf. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view. 5. The head model in the design picture is a prop and does not belong to the content of the protected design. 6. The bottom surface is not easy to see when in use, and the top view is omitted.

This disclosure provides a network training method and a head model display method based on speech style and emotion. The specific implementation scheme is as follows: Audio features and corresponding speech style type of a first training audio are input into a parameter generation network to obtain first initial head deformation parameters and first initial head skeleton posture parameters; based on the first initial head deformation parameters, first initial head skeleton posture parameters, a benchmark head model, and head model data paired with the first training audio, the parameter generation network is trained; in response to the trained parameter generation network meeting a preset training termination condition, audio features and corresponding speech style type of a second training audio are input into the trained parameter generation network to obtain second initial head deformation parameters and second initial head skeleton posture parameters; based on the second initial head deformation parameters, second initial head skeleton posture parameters, training emotion type, and benchmark head model, a parameter correction network is trained.

This invention relates to the field of orthodontics and discloses a method for designing a combined orthognathic and orthodontic treatment plan, an electronic device, and a computer-readable storage medium. The method includes obtaining an initial head model of a user; the position of the jawbone in the initial head model is the initial position of the jawbone; obtaining the target position of the user's jawbone and the corresponding unit movement step length of the jawbone; based on the initial head model and the unit movement step length of the corresponding jawbone, calculating how the user's jawbone gradually moves from the initial position to the target position or several intermediate positions of the jawbone near the target position, and arranging teeth at each jawbone position to obtain a head model corresponding to each jawbone position after tooth arrangement; wherein the jawbone position is either the intermediate position of the jawbone or the target position of the jawbone; selecting a head model that meets preset conditions from the head models corresponding to each jawbone position; and designing a treatment plan based on the head model that meets the preset conditions.

1. Name of the product in this design: Headscarf (Gardenia in the Breeze). 2. Purpose of this design: for decoration and personal adornment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The head model in the design drawings is a supporting element and does not fall under the scope of the design for which protection is sought. 6. Other situations requiring explanation: The bottom surface of the product is not easily visible during use: bottom view omitted. The contents or linings are not among the items for which protection is sought.

The application provides a display device and a virtual image generation method. The method can determine a first playing time point of a media video in response to a first instruction for generating a virtual image, extract a first video frame corresponding to the first playing time point in the media video, extract a non-face feature of a target character image in the first video frame, obtain a face feature of a user, generate a basic head model based on the face feature, fuse the non-face feature on the basic head model to obtain the virtual image, and finally control a display to display the virtual image on an upper layer of the media video. The method can generate a virtual image according to a character image in a current media video, associate the virtual image with a specific scene in which the virtual image is applied, thereby improving user experience and immersion.

1. Name of this design product: Medical teaching head model display stand. 2. Purpose of this design: For use in teaching head model display. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application relates to the technical field of medical devices and particularly discloses a head needle precise registration and positioning system based on electrode placement positions of a 10-20 electroencephalogram system, which comprises the following modules: a first coordinate registration module, which establishes an electronic head model three-dimensional model based on physical positioning results of all anatomical reference points in a 10-20 electroencephalogram system electrode distribution map by means of an electronic head model and a positioning probe; a second coordinate registration module, which registers 10-20 electroencephalogram system electrode distribution data marked in the electronic head model three-dimensional model with traditional head needle partition data, and determines the coordinates of a target treatment area in the electronic head model three-dimensional model; and a physical positioning module, which guides an operator to position the physical position range of the target treatment area by means of the positioning probe based on the probe coordinate values of the positioning probe in the electronic head model three-dimensional model and the coordinate range of the target treatment area in the electronic head model three-dimensional model, so that the precision of head needle treatment is effectively improved.

The application provides a spectacle production method and system based on finite element analysis. First, the interaction between the spectacle model and the expected contact area in the human head model is analyzed by finite element analysis to obtain a first pressure cloud chart of the human head. Then, the interaction relationship between the spectacle and the head model is generated according to the pressure cloud chart. Finally, the spectacle is produced according to the interaction relationship. The application is based on the interaction between the spectacle and the head shape by finite element analysis, and thus the deformation of the spectacle and the head shape when worn and the pressure on each part of the head can be known during production. The fit and compression of the actual spectacle and the human head can be better understood, and the spectacle produced by using the conventional digital model has a better user experience effect.

The application relates to the technical field of face generation, and discloses a single-sample audio-driven speaker face generation method based on three-dimensional Gaussian splashing, which comprises the following steps: generating a complete three-dimensional Gaussian head model according to an input single face image through a visible area reconstruction branch and an occlusion area completion branch; extracting audio features of an input audio signal, inputting the audio features into a coarse-grained motion field and a fine-grained motion field respectively, predicting deformation parameters of the three-dimensional Gaussian head model, and fusing the deformation parameters predicted by the coarse-grained motion field and the fine-grained motion field to update the three-dimensional Gaussian head model; rendering the updated three-dimensional Gaussian head model into a two-dimensional image through differentiable Gaussian rasterization, and refining the two-dimensional image through a neural renderer to generate a speaker face video frame. The application can significantly improve the authenticity and stability of the generated video and realize high-efficiency rendering.

1. The name of the design product: hat. 2. The use of the design product: the product is used for head-wearing hat. 3. The design points of the design product: in shape, pattern and combination thereof. 4. The picture or photo that best shows the design points: front view. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted. 6. The head model in the design picture is a prop and does not belong to the protected design content.

The application discloses a kind of measurement threshold determination method, device, electronic equipment and medium, belong to electronic technical field.The method includes: obtaining multiple body SAR measurement data groups, each body SAR measurement data group includes the SAR measurement value of one sample at one frequency band and the SAR measurement value of body model at multiple distance values;Obtain multiple head SAR measurement data groups, each head SAR measurement data group includes the SAR measurement value of one sample at one frequency band and the SAR measurement value of head model at multiple relative position attitudes;According to multiple body SAR measurement data groups, determine first adverse factor;According to multiple head SAR measurement data groups and first body SAR value, determine second adverse factor, first body SAR value includes the SAR measurement value corresponding to zero distance in multiple body SAR measurement data groups;According to first adverse factor, second adverse factor and the system measurement uncertainty set, determine head SAR measurement exemption threshold.

The application discloses a three-dimensional face reconstruction method, device and equipment based on facial electromyographic signals, comprising the following steps: preprocessing original signals including facial electromyographic signals and video frame data collected to obtain electromyographic signal sequences and video frame sequences; based on the video frame sequences, facial key points are extracted and identity information is removed to obtain standardized facial feature point sequences; a pre-network including a convolutional neural network module and a Transformer encoder module is self-supervised pre-trained using a facial electromyographic signal dataset to obtain a facial feature extraction model; the facial feature extraction model is used as a fixed-parameter feature extractor and is connected with a Transformer decoder module to train a cross-modal mapping model from the electromyographic signal sequences to the standardized facial feature point sequences; the facial electromyographic signals to be reconstructed are input into the cross-modal mapping model to obtain facial feature point sequences, and the facial feature point sequences are input into a preset statistical three-dimensional head model to generate corresponding three-dimensional face reconstruction results.

1. Name of the product in this design: Hat (Lamb). 2. Purpose of this design: Hat. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top view is omitted as it has already been shown in the front view, rear view, left view, right view, and perspective view 1; the bottom view is omitted for parts that are not easily seen or cannot be seen during use. 6. The head model shown in each view of the design drawings is a supporting element and does not constitute the content of the design for which protection is sought.

1. Name of the product in this design: Hat (Kitten). 2. Purpose of this design: Hat. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top view is omitted as it has already been shown in the front view, rear view, left view, right view, and perspective view 1; the bottom view is omitted for parts that are not easily seen or cannot be seen during use. 6. The head model shown in each view of the design drawings is a supporting element and does not fall within the scope of the design for which protection is sought.

The present application relates to the technical field of intracranial blood vessel ultrasound training model, specifically to an intracranial blood vessel TCD simulation training model, comprising a peristaltic pump, the input end and the output end of the peristaltic pump are connected with conveying pipelines, the peristaltic pump is provided with a head model on one side, the head model comprises a head model body, the head model body has a simulated cranial cavity, the top of the simulated cranial cavity has a placing opening, the upper part of the placing opening has an openable cover; the outer side of the head model body has a temporal window, an occipital window and an eye window; the inside of the simulated cranial cavity is filled with a plurality of brain tissue simulation gels, the brain tissue simulation gels are embedded with adjustable simulation blood vessel network structures arranged according to the structure of Willis ring, the input end and the output end of the adjustable simulation blood vessel network structures are respectively connected with the output end and the input end of the peristaltic pump. The present application solves the problems that the existing clinical TCD doctor training relies on direct operation on patients, has many defects, lacks special simulation training model, cannot evaluate the accuracy of doctor operation and limits the application of TCD technology.

This invention discloses a 3D head reconstruction method and system based on neural networks, comprising the following steps: 1) Modeling multi-source 3D head data using a VAE-based unified latent representation modeling mechanism to construct a 3D head VAE model; 2) Employing a diffusion model-based conditional complete head structure generation mechanism to achieve progressive recovery from local facial latent representations to complete head latent vectors. This invention can automatically extract head structural features from 3D face and 3D head models, and then generate a complete and unified 3D head model based on local 3D faces, providing 3D model support for subsequent applications such as animation, virtual reality, and medical imaging. This invention achieves unified representation of 3D structures through targeted training based on variational autoencoders and diffusion models, while balancing generation accuracy and computational efficiency, and can be used in scenarios such as medical analysis, rehabilitation-assisted design, and personalized digital modeling.

This invention provides an efficient design method and system for vertical shaft cutting heads, belonging to the technical field of underground coal mine transportation equipment. It includes a modeling and simulation module, a data processing module, and an auxiliary module. The modeling and simulation module generates a parameterized cutting head model based on input parameters and performs mesh generation, configuring the boundary conditions and control parameters required for simulation and conducting fluid-structure interaction simulation. The data processing module automatically extracts slag discharge indicators from the simulation results, completing the slag discharge performance analysis of the parameterized cutting head model. The auxiliary module establishes a working condition-performance-scheme template database and filters scheme templates according to actual working conditions, assisting in scheme integration and local fine-tuning, thereby improving design efficiency. This invention achieves fully automated and modular design, significantly reducing manual workload and solving the technical problems of low modeling efficiency, repetitive parameter settings, and cumbersome data processing in existing cutting head designs.

This application provides a method and apparatus for generating a 3D deformable head model. The method includes: receiving a two-dimensional (2D) facial image; identifying a first set of key points in the 2D facial image based on an artificial intelligence (AI) model; mapping the first set of key points to a second set of key points located on multiple vertices of a mesh of the 3D head template model based on a set of user-provided key point annotations located on a 3D head template model; deforming the mesh of the 3D head template model by reducing the difference between the first set of key points and the second set of key points to obtain a deformed 3D head mesh model; and applying a hybrid shape method to the deformed 3D head mesh model to obtain a head model based on the 2D facial image.

This application relates to the field of brain power imaging technology and discloses a brain power imaging electrode localization method. The method includes: acquiring a set of scalp vertices in an individual head model; for an electrode geodesic to be constructed, determining the anatomical constraint points and two endpoints of the electrode geodesic based on the plurality of anatomical landmarks; generating a reference plane based on the anatomical constraint points and the two endpoints; extracting candidate vertices that are compatible with the reference plane from the set of scalp vertices, and constructing the electrode geodesic that matches the individual head model based on the candidate vertices; and determining the actual position of each electrode based on the total length of the electrode geodesic, the preset relative distance ratio of each electrode along the electrode geodesic, and the set of scalp vertices, thereby achieving the technical effect of accurately fitting the individual head shape and strictly conforming to the electrode topology layout of the international standard lead system.

This invention relates to the field of intelligent driving technology, and provides a method, system, and computer for generating virtual fatigue driving samples. The method includes: assigning several facial key point labels and several posture angle labels to training images; training a key recognition model based on a facial recognition algorithm; constructing several 3D mesh head models based on several facial features; acquiring several experimental fatigue images and inputting them into the key recognition model to obtain a set of fatigue key point coordinates and a set of posture angles; forming several fatigue 3D mesh head models using radial basis function interpolation; generating several virtual fatigue images based on the several fatigue 3D mesh head models, and then generating several virtual fatigue videos based on the several virtual fatigue images. This method generates a large number of virtual fatigue videos with good individual differences, which is beneficial for accurately and comprehensively testing the accuracy of fatigue driving detection products.

This application provides a method, device, medium, program product, and terminal for autonomous driving eye monitoring based on facial projection transformation and visual projection. By acquiring driver image data and driving operation data in real time, and combining facial projection transformation and 3D model construction, the accuracy and reliability of driver state monitoring are significantly improved. It effectively corrects image displacement and distortion caused by driver head movement and posture changes, ensuring accurate facial information recognition. The coarse and fine eye positioning coordinates generated based on facial projection enable accurate monitoring of eye opening and closing in complex situations, thereby identifying driver fatigue. Furthermore, by constructing a 3D head model, the driver's posture at different angles can be analyzed, further enhancing monitoring accuracy. Intelligent warning commands generated by combining driving operation data and eye state can promptly alert the driver to potential safety risks, thereby effectively improving driving safety.

This invention discloses a method, apparatus, device, storage medium, and program product for generating a head model. The key features include receiving and verifying original 3D T1-weighted image data and an original 3D mesh model; performing tissue segmentation based on the verified 3D T1-weighted image data and the original 3D T1-weighted image data to obtain gray matter masks, white matter masks, scalp masks, and skull masks; performing topological repair on the gray matter and white matter masks to obtain a brain mask; converting the scalp mask, skull mask, and brain mask into scalp mesh models, skull mesh models, and brain mesh models, respectively; calculating and applying the spatial transformation matrix from the verified 3D mesh model to the scalp mesh model; and performing spatial registration and fusion of the scalp mesh model, skull mesh model, and brain mesh model to obtain the head model. The advantages are that it effectively improves the efficiency, accuracy, and robustness of head model generation and has good cross-platform deployment capabilities.

The application discloses a kind of based on attribute's shape base's stylized 3D digital person reconstruction method and device, and relates to computer technology field.The method comprises the following steps: obtaining the 2D stylized face figure to be reconstructed;2D stylized face figure is input to the trained stylized digital person reconstruction model;According to 2D stylized face figure and stylized digital person reconstruction model, the prediction coefficient of each shape base is obtained;Linear summation is carried out to the calculation result of each shape base minus the preset neutral face Base and the prediction coefficient of each shape base, and the stylized 3D digital person reconstruction result is obtained.The application can solve the problem of insufficient expression of shape base, and improve the expression of fat and thin and facial features of head model.Especially, the number of capital and other data is added to the reconstruction algorithm, which is a revolutionary shape base creation scheme, and can greatly improve the overall reconstruction similarity, aesthetics and expression of the head.

The embodiment of the invention provides a virtual panoramic sound generation method and device, electronic equipment and a storage medium, and belongs to the technical field of audio processing. The method comprises the following steps: acquiring real head size information and head position information of a target user, and acquiring a target audio clip of audio playing equipment; determining a target head model of a head transfer function set matched with the real head size information based on the real head size information; based on the head position information, determining a distance parameter and a deviation angle parameter between the target user and the audio playing device; based on the real head size information, the spacing parameter and the deviation angle parameter, performing function matching on the head transfer function set to obtain a target head transfer function; based on the target audio clip, performing audio parameter adjustment on the target head transfer function to obtain a panoramic sound playback target sound field parameter; and performing virtual panoramic sound generation based on the panoramic sound playback target sound field parameters. According to the embodiment of the invention, the generation accuracy of the virtual panoramic sound can be improved.

The application provides an electroencephalogram data synthesis method, device and equipment and a storage medium, and belongs to the field of biological signals. The method comprises the following steps: in response to an electroencephalogram data synthesis task, loading corresponding head model information, wherein the head model information is biophysical basic information; synthesizing electroencephalogram scalp signals according to the head model information and the electroencephalogram data synthesis task to obtain scalp signal data, and outputting electroencephalogram signal causality during the synthesis of the electroencephalogram scalp signals to obtain causality feature data; generating simulated noise for electroencephalogram extraction according to the head model information and the electroencephalogram data synthesis task to obtain noise signal data; and synthesizing electroencephalogram data according to the electroencephalogram data synthesis task, the scalp signal data, the noise signal data and the causality feature data. By adding the electroencephalogram signal causality and the simulated noise for electroencephalogram extraction into the electroencephalogram data, the generated electroencephalogram data has a causal true value and is more accurate.

The application relates to a system and method for treating Alzheimer's disease, and belongs to the field of medical devices. The system comprises a multi-modal data acquisition module, an individualized simulation navigation module, a precise signal generation and driving module, and a closed-loop feedback control module. The system constructs an individual head model through finite element analysis to optimize electrode distribution, generates an interference envelope in the hippocampus area by using two high-frequency currents, and realizes closed-loop adjustment of parameters by combining a repeated continuous mode and physiological feedback. The application realizes non-invasive and accurate regulation of a deep target point, significantly improves hippocampal oscillation synchronization and synaptic plasticity, improves the memory of patients, reduces the activation of the surface cortex, and has good clinical safety.

The utility model discloses a kind of magnetic field intensity detection devices of transcranial magnetic stimulator, including transcranial magnetic stimulator host computer, stimulating coil clap, head model, magnetic field intensity inductor, signal processing module and data processing unit, magnetic field intensity inductor is installed in head model and close to head model surface, magnetic field intensity inductor, signal processing module and data processing unit are sequentially electrically connected, stimulating coil clap can be close to head model surface and produce pulsed magnetic field, magnetic field intensity inductor is used to induct pulsed magnetic field and send magnetic field energy analog signal to signal processing module, signal processing module is used to convert magnetic field energy analog signal into magnetic field energy digital signal and send to data processing unit, data processing unit is used to record and store magnetic field energy digital signal, and generate magnetic field intensity detection result. The utility model can detect the performance of transcranial magnetic stimulator by detecting the pulsed magnetic field of stimulating coil, to ensure the safety of patient.

This application relates to the field of 3D reconstruction technology, providing a method and electronic device for optimizing face driving parameters. Applied to a remote 3D communication system, before remote 3D interaction, the gender and age identified in the initial face image of the target object are used as prior knowledge. Corresponding wrinkle information is loaded and added to the initial parameterized head model, increasing the detail description of facial wrinkles and improving the accuracy of face reconstruction. During remote 3D interaction, the wrinkle information is used to optimize the parameters used to drive the initial parameterized head model based on the target object's current facial expression. This ensures that each expression base of the target object contains descriptive features of wrinkles, further improving the driving accuracy of facial expressions by adding wrinkles, thereby better representing the detail accuracy of facial expression driving and enhancing the realism of facial expression expression.