104 results about "Head model" patented technology

The invention discloses a method, device and equipment for generating a head model, a storage medium and a program product. The method is characterized by comprising the following steps of: receiving and verifying original three-dimensional T1 weighted image data and an original three-dimensional grid model; performing tissue segmentation based on the verified three-dimensional T1 weighted image data and the original three-dimensional T1 weighted image data to obtain a cerebral grey matter mask, a cerebral white matter mask, a scalp mask and a skull mask; performing topological structure repair on the brain grey matter mask and the brain white matter mask to obtain a brain mask; respectively converting the scalp mask, the skull mask and the brain mask into a scalp mesh model, a skull mesh model and a brain mesh model; calculating and applying a spatial transformation matrix from the verified three-dimensional grid model to the scalp grid model, and performing spatial registration and fusion on the scalp grid model, the skull grid model and the brain grid model to obtain a head model; the method has the advantages that the efficiency, precision and robustness of head model generation are effectively improved, and the method has good cross-platform deployment capability.

The invention relates to a heterogeneous human head model construction method and system oriented to multi-physics field simulation, based on real human head T1 weighted magnetic resonance image data, key tissues such as white matter, gray matter and cerebrospinal fluid are accurately segmented, and a three-dimensional geometric model used for generating carrying tissue identification information is researched and developed; converting the model data into a file format conforming to the NASTRAN standard by utilizing an independently developed format conversion program, and completely retaining organization classification information; finally, different tissue areas are automatically recognized through physical field simulation software, corresponding frequency dependent material attributes are distributed, and a finite element model capable of being directly used for simulation is formed. According to the method, seamless integration of the high-precision heterogeneous human head model and the simulation platform is achieved, tedious manual repairing and assignment operation is not needed, the method has the advantages of being high in precision, high in efficiency and good in compatibility, and the authenticity and reliability of biomedical simulation such as transcranial magnetic stimulation and radio frequency coil design can be remarkably improved.

The invention discloses a fitting uniformity detection method and device, electronic equipment and a storage medium, and relates to the technical field of head-mounted display device.The method comprises the steps that in a first time interval when to-be-detected equipment is installed on a head model, a driving assembly is controlled to drive the head model to swing in a preset first driving mode; within a second time interval when the to-be-tested equipment is installed on the head model, the driving assembly is controlled to drive the head model to swing in a preset second driving mode, and the swing amplitude of the head model in the second driving mode is larger than that in the first driving mode; collecting a first pressure data graph in a first time interval through a pressure sensor, and collecting a second pressure data graph in a second time interval; and according to the first pressure data graph and the second pressure data graph, determining a fitting uniformity result of the to-be-tested equipment. According to the invention, the accuracy of fitting uniformity detection of the head-mounted display device can be improved.

The utility model relates to a device for measuring an effective protection area of an eye protector, and the device comprises a head model which is used for the wearing of the eye protector and the evaluation of the effective protection area, and comprises a protection area mark; the spraying device comprises a nozzle, a pressure adjusting device and a solution containing cavity, the nozzle is used for spraying a solution, and the diameter of the nozzle is adjustable so that the distribution state of the solution on the eye protector can be changed; the pressure adjusting device is used for adjusting the injection pressure of the solution; and the solution accommodating cavity is used for accommodating a solution. By arranging the head mold and the eye protector marked with different protection areas, the effective protection area of the eye protector can be measured. By arranging the nozzle with the adjustable diameter, the distribution state of the solution on the eye protector or the head mold is changed, so that the measuring device can simulate various biological hazard scenes. The pressure adjusting device is combined with the nozzle for use, the actual spraying scene can be better fitted, and the effective protection area of the eye protector is further accurately measured.

1. The name of the design product: swimming cap (5). 2. The use of the design product: for wearing when swimming. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best shows the design points: perspective view. 5. The head model in the design picture is a background and does not belong to the content of the claimed design.

The invention discloses a geological double-dessert prediction method and device based on knowledge graph representation learning, equipment, a medium and a product, and relates to the technical field of oil and gas exploration and development. The method comprises the following steps: determining a geological knowledge map according to multi-source heterogeneous geological data and a mode layer definition scheme; determining predicted result data according to the geological knowledge map by adopting a double-dessert prediction model; the double-dessert prediction model adopts a double-prediction-head model sharing a bottom-layer GAT encoder; the GAT encoder adopts a graph attention network, the graph attention network comprises a plurality of stacked graph attention layers, and each graph attention layer aggregates node information of neighbor entity nodes through an attention mechanism to perform node feature updating so as to quantify the interaction intensity between the entity nodes. According to the method, geological double-dessert prediction can be realized, and an accurate and reliable basis is provided for efficient exploration and development of oil and gas reservoirs.

The application relates to a special device and method for detecting the magnetic field and temperature of a transcranial magnetic stimulation therapeutic instrument, wherein the special device comprises a bionic head model, a special support, a magnetic field measuring probe, a temperature measuring module, a device host, a control computer and a data line; the bionic head model is arranged at the bottom of the special support, the magnetic field measuring probe is arranged at the top of the special support, and the device host is connected with the magnetic field measuring probe, the temperature measuring module and the control computer through the data line. The method is characterized in that a bionic head model equivalent to the electromagnetic characteristics of the head is designed, the magnetic field in the space where the model is located and the temperature on the surface of the coil are measured, the magnetic field measurement results are calculated and analyzed, and the measurement results of the maximum magnetic induction intensity, the spatial magnetic field distribution, the output frequency, the stimulation pulse width and the coil surface temperature are obtained. The method is suitable for detecting and calibrating the core parameters in the research and development and clinical use of the transcranial magnetic stimulation therapeutic instrument, and ensures the safety and effectiveness of the transcranial magnetic stimulation therapeutic instrument.

The invention discloses a sparse electroencephalogram signal source positioning method based on functional magnetic resonance guidance, and relates to the crossing field of electroencephalogram signal processing and neuroimaging technologies. The method mainly comprises three parts of fMRI-guided sparse source space construction, subject specificity forward model construction and multi-target regularization inverse problem solving. The method comprises the following steps: firstly, screening high-activation voxels through BOLD signal intensity of fMRI, and constructing a sparse source space through connected component analysis and representative point selection; then, a subject specific boundary element (BEM) head model is constructed based on the structural MRI, and electrode registration and lead field matrix calculation are completed; and then a multi-target regularization model fusing data fidelity, space compactness and intensity consistency is constructed, optimal estimation of source current intensity is obtained through analysis and solution, and finally a positioning result of brain power activation is output. According to the method, the advantages of high time resolution of the EEG and high spatial resolution of the fMRI are fully played, the limitations of inverse problem morbidity, low spatial resolution and insufficient multi-mode fusion in traditional brain power supply positioning are effectively solved, and brain power supply positioning with high precision, noise resistance and high interpretability is realized; and a new scheme is provided for cognitive neuroscience research, nervous system disease diagnosis and brain-computer interface development.

1. Name of the product in this design: Fan sunshade hat. 2. Purpose of this design: For sunshade and cooling. 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. Other notes: The prosthetic head model shown in each view is a support and is not part of the scope of this design patent.

The application relates to the field of computer vision, and more particularly to a hair model generation method and system, an electronic device and a storage medium. The method comprises the following steps: obtaining a head shape base of a standard head model; obtaining a standard hair model; obtaining a hair shape base of the standard hair model according to the head shape base and the standard hair model; obtaining a shape coefficient of a target head model, wherein the shape coefficient is obtained according to a target face image, and the target head model is obtained according to the standard head model, the head shape base and the shape coefficient; and obtaining a corresponding target hair model according to the hair shape base and the shape coefficient. The method can be used to generate a high-quality, high-matching-degree and high-flexibility hair model, and improve the generation efficiency of the hair model.

A modelling method for making a virtual model of a user's head includes operations of: acquiring a plurality of depth images of a user's head in different head poses; processing the acquired depth images; localising on the two-dimensional images first marker points corresponding to characteristics of the head; estimating the head by estimating the yaw, pitch and roll angles of the head and the positioning of the head along three axes of a reference system of Cartesian axes for each of the two-dimensional images of the depth images, performing a transformation of the head pose; projecting the first marker points located in the respective cloud of points; associating iteratively in pairs the clouds of points until obtaining a cloud of synthesis points; aligning the cloud of synthesis points; and deforming the statistical head model by means of a minimization algorithm of a predefined cost function.

This invention discloses a transcranial magnetic stimulation (TMS) system and method. The system includes a head data acquisition module, a stimulation subject simulation module, and a coil parameter recommendation module. The head data acquisition module acquires head data of the target stimulation subject, including scalp data, skull data, and brain tissue data. The stimulation subject simulation module, connected to the head data acquisition module, constructs a head model of the target stimulation subject based on the acquired head data. The coil parameter recommendation module, connected to the stimulation subject simulation module, generates coil structure test parameters and performs simulation tests on the head model based on preset stimulation parameters and coil structure test parameters to obtain test data. Based on the test data, a TMS coil adapted to the head model is determined. Through the technical solution of this invention, the technical effect of improving the compatibility between the TMS coil and the target stimulation subject is achieved.

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: Sunscreen face mask (double ear loop type). 2. Purpose of this design: For facial sun protection. 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. 5. For parts of the product that are not easily seen or cannot be seen during use, the bottom view is omitted. 6. 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.

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 invention discloses a processing method, electronic equipment and an input control system. The method comprises the following steps: acquiring head modeling data of a target object; constructing a first three-dimensional model based on the head modeling data; correcting the first three-dimensional model based on a pre-constructed offset so as to enable the center coordinate of a second three-dimensional model obtained after correction to coincide with the reference point; performing normalization processing on the second three-dimensional model to obtain a target head model; inputting target features obtained by performing geometric transformation on the target head model into a target model, and performing processing by the target model to obtain position parameters; the position parameter represents the position of the current sight focus of the target object on the display equipment; and performing input control on the electronic equipment based on the position parameter.

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 invention relates to the technical field of craniocerebral injury biomechanical analysis, discloses a semi-automatic craniocerebral injury index CSDM extraction method, and aims to improve CSDM extraction efficiency, applicability and flexibility. The method comprises the following steps: a brain tissue area display state pre-selection step: importing a head model simulation result file into post-processing software, screening and retaining brain tissue entity unit components, hiding irrelevant components and recording parameters; a strain and volume frame-by-frame output step: compiling an automatic script based on a post-processing software secondary development function to realize frame-by-frame output of unit data; and an automatic operation step: automatically calculating the CSDM value of each frame based on the output file through a Matlab calculation program. According to the method, the problems that manual extraction is low in efficiency and prone to errors and a full-automatic method is poor in universality are solved through a manual preprocessing and automatic calculation fusion mode, and the method is suitable for various head models and supports craniocerebral injury mechanism research and clinical assistance.

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 invention discloses a GIS equipment inner surface metal particle detection method based on an improved Faster RCNN, and belongs to the field of metal particle detection.The method comprises the steps that firstly, a feature map of a sample image is extracted through a ResNet-50 neural network, then the obtained feature map is input into an RPN model, a frame regression loss function of the RPN model is modified, and a candidate frame is generated; and finally, the feature map and the candidate box are sent to the ROI Head model to obtain the category and positioning of the target, and the method is based on CNN features, not only can images of any scale be processed, but also the detection precision is relatively high.

The invention relates to a target spot optimization method and device and a storage medium, and the method comprises the steps: firstly obtaining the head modeling data, brain function partition, intervention process information and intervention curative effect information of a modeling object, then carrying out the calculation of a cerebral cortex induced electric field in an intervention process based on the head modeling data corresponding to the modeling object, and carrying out the calculation of a cerebral cortex induced electric field. Obtaining accumulated cerebral cortex induced electric field distribution in the intervention process, obtaining an induced electric field function connection matrix according to the accumulated cerebral cortex induced electric field distribution and the brain function partition, and finally establishing a target optimization model by utilizing the data of the induced electric field function connection matrix in combination with the intervention curative effect information. By more accurately determining the stimulation pose and parameters, accurate feedback of individual differences of application objects is realized, so that the overall curative effect of intervention is improved.

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.

The invention relates to the technical field of neurosurgery simulation training equipment, in particular to a minimally invasive intracranial hematoma removing surgery simulation training device which comprises a round ruler, a hematoma removing device, a mounting frame and a self-locking rotating part, a fitting plate is movably arranged on the inner side of a mounting plate, and a main air bag making contact with the fitting plate is arranged on the inner side of the mounting plate; according to the minimally invasive intracranial hematoma removal operation simulation training device, the main air bag and the side air bags are arranged on the inner side of the mounting plate and matched with the pneumatic control mechanism, the main air bag and the side air bags are arranged on the outer surface of the inner side of the mounting plate, and the side air bags are arranged on the outer surface of the inner side of the mounting plate and movably arranged on the side edges of the attaching plate. The self-adaptive flexible fitting of the simulated skull model and the stereotactic positioning assembly can be realized, the main air bag and the side air bag are cooperatively expanded, the size deviation, the assembly clearance and the operation stress of the model can be compensated, the fitting plate is tightly attached to the surface of the model, and the training deviation caused by poor fitting is avoided.

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 invention relates to a target spot optimization method, system and device and a storage medium. The method comprises the steps of obtaining a target device model; acquiring a head model of the detected object, and determining a target intervention target area on the head model; calculating cerebral cortex induced electric field intensity on the target intervention target spot area when the target equipment is in different poses; and taking the pose of the target equipment when the cerebral cortex induced electric field is optimal as the target pose of the target equipment. A head model of a detected object is acquired, a target intervention target area of the detected object on the head model is determined, so that target equipment can accurately determine a brain area, needing to be intervened, of the detected object, and cerebral cortex induced electric field intensities under different poses on the target intervention target area are calculated through simulation; and the treatment effect of target intervention is improved according to the obtained optimal placement pose of the target equipment.

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.