29993results about "Mechanical pattern convertion" patented technology

The invention provides an intelligent real-time interactive question-answering system based on a virtual digital human, and belongs to the technical field of voice signal processing and voice recognition, and the system comprises a data acquisition module which receives a voice or text interaction request input by a user, collects the expression dynamic parameter sequence and limb movement sequence data of the user in real time, and transmits the data to a user interaction module; obtaining a standardized voice feature vector and structured text data; the cross-modal fusion module is used for constructing an interactive feature matrix; the behavior decision module outputs a decision instruction set; the knowledge retrieval module is used for generating an answer text with emotional adaptability and voice features; and the voice generation module is used for generating a mouth shape animation key frame, a micro expression parameter sequence and a limb action track of the virtual digital human, generating a voice response in combination with the answer text and the voice characteristics, and pushing the voice response to the user terminal. According to the method, the interaction experience and adaptability of the virtual digital human are remarkably improved.

Some examples of the disclosure are directed to systems and methods for displaying and interacting with a representation of a user interface of an electronic device in a three-dimensional environment. While presenting a first user interface, a first electronic device presents a representation of a second user interface of a second electronic device based on display data representing the second user interface. In response to detecting a respective event corresponding to user input, if a gaze of a user of the first electronic device is directed to the representation of the second user interface, the first electronic device causes the second electronic device to perform a first operation directed to the second user interface based on the respective event. Alternatively, if the gaze is directed to the first user interface, the first electronic device performs a second operation directed to the first user interface based on the respective event.

A system and method for creating complex, immersive, and interactive digital content is disclosed. The system integrates advanced artificial intelligence, multi-modal input processing, cloud-based shared environments, and immersive hardware to generate, optimize, and deliver rich interactive experiences. The platform supports content mashups, custom scenario generation, and adaptive AI behaviors, enabling the creation of unique and engaging digital environments across various media formats.

The method can include: recording a neural state, determining a latent array, and determining an output based on the latent array. In variants, the method can function to enable a subject to use neural signals to navigate within a high-dimensional concept space to control an output (e.g., image generation, motor control, communication, etc.).

The invention discloses a global dynamic optimization system for an ultra-high-definition glass-based display screen. The operation process of the system specifically comprises the following steps: acquiring a real-time state data set of the display screen; generating an initial optimization parameter set based on a preset optimization strategy and the user behavior model; capturing a user interaction signal and an environment change signal in real time; generating a dynamic correction coefficient set according to the user interaction signal and the environment change signal; performing global parameter fusion based on the initial optimization parameter set and the dynamic correction coefficient set to generate a target optimization instruction set; and feeding back an optimization effect evaluation table based on the optimization effect. The method has the following advantages and effects: collaborative optimization and thermodynamic balance of global display parameters are realized, the system can balance visual experience improvement and thermal diffusion suppression requirements in real time through multi-dimensional data fusion and global parameter collaborative calculation, and the system can improve the visual experience while enhancing local contrast and optimizing color rendition. And actively inhibiting the temperature rise of the screen through thermodynamic equilibrium constraint.

A multi-modal articulation system translates human gestures into control commands for digital and automation devices. The system integrates a camera module, which captures facial and hand movements, with an image processing unit that extracts facial features, such as eyebrow movement, lip curvature, eyelid motion, and eye trajectory. These extracted features are analyzed in real time by an articulation recognition module that compares them against a database to recognize specific gestures. The system tracks and processes air-drawn hand gestures using a gesture trajectory tracking unit, which converts the motions into digital representations and classifies them using deep learning algorithms. The recognized gestures are converted into machine-readable control signals and executed on various connected devices via a relay control unit. The system incorporates adaptive algorithms to improve accuracy, account for environmental conditions, and stabilize hand tremors, providing a gesture-based control interface for applications ranging from smart home systems to multimedia devices.

A three-dimensional preview of content can be generated and presented at an electronic device in a three-dimensional environment. The three-dimensional preview of content can be presented concurrently with a two-dimensional representation of the content in a content generation environment presented in the three-dimensional environment. While the three-dimensional preview of content is presented in the three-dimensional environment, one or more affordances can be provided for interacting with the one or more computer-generated virtual objects of the three-dimensional preview. The one or more affordances may be displayed with the three-dimensional preview of content in the three-dimensional environment. The three-dimensional preview of content may be presented on a three-dimensional tray and the one or more affordances may be presented in a control bar or other grouping of controls outside the perimeter of the tray and / or along the perimeter of the tray.

In some embodiments, a computer system performs virtual object manipulation operations using respective portions of the user's body and / or input device(s). In some embodiments, a computer system manipulates a virtual object based on input from a hand of a user and / or a handheld device. In some embodiments, a computer system manipulates a virtual object directly or indirectly.

Some examples of the disclosure are directed to systems and methods for displaying and interacting with a representation of a user interface of an electronic device in a three-dimensional environment. While presenting a first user interface, a first electronic device presents a representation of a second user interface of a second electronic device based on display data representing the second user interface. In response to detecting a respective event corresponding to user input, if a gaze of a user of the first electronic device is directed to the representation of the second user interface, the first electronic device causes the second electronic device to perform a first operation directed to the second user interface based on the respective event. Alternatively, if the gaze is directed to the first user interface, the first electronic device performs a second operation directed to the first user interface based on the respective event.

The invention discloses a digital twin enabling intelligent pump station preventive operation and maintenance system. Comprising a dynamic twin construction module, a multi-source heterogeneous multi-modal data acquisition module, an edge computing and cloud collaboration module, an equipment health degree evaluation module, a predictive maintenance decision module, a cross-system data fusion module, a self-evolution knowledge graph module, an intelligent diagnosis and early warning module, a self-adaptive maintenance decision module and a man-machine collaboration interaction module. And the dynamic twin construction module comprises a physical-virtual synchronous calibration mechanism and an equipment degradation parameter dynamic updating mechanism. According to the method, the limitation problem of a traditional static model is solved, the method can adapt to nonlinear changes under complex working conditions, the comprehensive judgment and prediction capability of the system on the equipment state can be enhanced, the energy utilization efficiency is improved, the energy consumption is reduced, the decision and verification mechanism is perfected, and the data acquisition and processing problem is improved; the problems of timeliness and flexibility of the model are solved, and the computing architecture and the response capability are optimized.

Methods for displaying and organizing user interfaces in a computer-generated environment provide for an efficient and intuitive user experience. In some embodiments, user interfaces can be grouped together into a container. In some embodiments, user interfaces can be added to a container, removed from a container, or moved from one location in the container to another location. In some embodiments, a visual indication is displayed before a user interface is added to a container. In some embodiments, a user interface can replace an existing user interface in a container. In some embodiments, when moving a user interface in a computer-generated environment, the transparency of a user interface that is obscured can be modified.

The method can include: recording a neural state, determining a latent array, and determining an output based on the latent array. In variants, the method can function to enable a subject to use neural signals to navigate within a high-dimensional concept space to control an output (e.g., image generation, motor control, communication, etc.).

Methods for counter-scaling windows and rearranging objects within those counter-scaled windows in a 3D computer-generated environment is disclosed. The windows can be counter-scaled in accordance with changes to their depth within the 3D computer-generated environment. Objects within the window can be presented at their actual size and with their correct scale relative to each other and with respect to the 3D computer-generated environment, and can maintain their actual size and scale relative to each other and the environment regardless of the depth of the window in the environment. Some embodiments of the disclosure rearrange the layout of the objects to present more or fewer objects in the window as the size of the window changes due to counter-scaling. Depth-dependent window resizing and object rearrangement while preserving actual object size and scale within the 3D computer-generated environment can provide a more authentic viewing experience and can encourage increased user interaction.

In some embodiments, an electronic device navigates between user interfaces based at least on detecting a gaze of the user. In some embodiments, an electronic device enhances interactions with control elements of user interfaces. In some embodiments, an electronic device scrolls representations of categories and subcategories in a coordinated manner. In some embodiments, an electronic device navigates back from user interfaces having different levels of immersion in different ways.

In some embodiments, a computer system displays a user interface element corresponding to content shared with the computer system for interacting with the shared content in the three-dimensional environment. In some embodiments, a computer system displays one or more virtual control elements in a three-dimensional environment that are selectable to cause one or more corresponding operations involving a physical device to be performed.

A holographic augmented reality ultrasound needle guide system and method includes an augmented reality display such as a headset wearable by a user. The augmented reality display is configured to depict a virtual ultrasound image. The augmented reality display is further configured to allow a user to select a desired reference point on the virtual ultrasound image. The system is configured to depict a holographic needle guide based on the selection of the desired reference point. The system is also configured to adjust a trajectory of the holographic needle guide to avoid intersecting undesired anatomical structures. The augmented reality display is further configured to stamp the holographic needle guide into a selectively locked trajectory and position.

The invention discloses a community intelligent monitoring and emergency linkage method and system fusing BIM spatial semantics, and the method comprises the steps: constructing a BIM scene map, and obtaining the attributes and mutual relationships of components and spatial regions in a BIM model; mapping a dynamic target detected in video monitoring into the BIM model, and obtaining spatial semantic information of the dynamic target; based on BIM spatial semantic information of a dynamic target, a target-environment interaction graph is constructed, a graph neural network model is used for training and reasoning, and specific complex events related to spatial contexts are recognized; taking the BIM model as a space-time reference, fusing multi-source heterogeneous data, and reconstructing by adopting a graph-based event association algorithm to form a complete event chain containing an atomic event sequence and an association relationship; and when an emergency event or an event chain is detected to indicate an emergency state, combining BIM preset information and real-time sensor data, dynamically generating an optimal emergency plan, and performing visual commanding and dispatching through a BIM three-dimensional scene and augmented reality.

The invention relates to the technical field of artificial intelligence assisted medical rehabilitation, in particular to a peripheral nerve injury personalized rehabilitation system and method based on a multi-modal large model, and the method comprises the steps: a feature fusion module employs space-time attention to fuse multi-modal time series data, and constructs an evaluation map; the personalized generation module is combined with historical data and reinforcement learning to generate a scheme containing virtual scene parameters; the interaction feedback module collects data through mixed reality and calculates action deviation; and the adaptive adjustment module adopts a meta-learning optimization model and a distributed iterative output scheme. According to the method, the cross-modal association precision of the motion features and the mechanical parameters is improved, dynamic matching of the training scene and the motion ability of the user is achieved, the virtual environment and the mechanical feedback threshold are optimized by dynamically adjusting the rehabilitation scheme parameters, the scheme optimization period is shortened based on an online iterative optimization mechanism, and the training efficiency is improved. The core defects of personalized adaptation lagging and low utilization efficiency of multi-modal data are overcome.

An aero-engine augmented reality virtual-real fusion method based on depth prior scene reconstruction comprises the following steps: firstly, collecting data of an aero-engine look-around RGB image and a depth image, calculating a camera frame pose by using an SFM algorithm and obtaining a sparse point cloud, and optimizing the camera pose by using an ICP algorithm and the point cloud converted from the depth image to obtain an aligned prior dense point cloud; gaussian points are initialized based on the priori dense point cloud and the sparse point cloud, and random generation of 3D Gaussian is limited by using the boundary of the dense point cloud as geometric constraint; through the three-dimensional reconstruction of the adjacent multi-view enhancement strategy, the spatial and visual consistency is improved, and an aero-engine model is reconstructed; then understanding the reconstructed aero-engine model based on semantic segmentation, identifying and marking core components, and finally performing virtual-real fusion visualization on the reconstructed aero-engine through augmented reality to guide training, assembling and maintenance operations. According to the invention, rapid high-quality three-dimensional reconstruction and augmented reality virtual-real fusion visualization of the aero-engine are realized.

The invention relates to the technical field of user behavior analysis, and discloses a user behavior intelligent analysis and management system based on a big data technology. The system comprises a user behavior data acquisition module for acquiring behavior data in a multi-dimensional scene; the behavior feature intelligent recognition module is used for extracting features by using a deep neural network and a time sequence analysis algorithm and generating a map; the behavior pattern dynamic analysis module is used for analyzing pattern changes through dynamic clustering and a hidden Markov model; the abnormal behavior autonomous detection module is used for detecting anomalies based on the multi-dimensional anomaly score and an adaptive threshold value; and the behavior management intelligent optimization module is used for optimizing a management strategy by utilizing a reinforcement learning algorithm. In addition, a behavior data archiving module is further arranged to guarantee safe storage of data. The system can comprehensively collect and analyze user behavior data, accurately detect abnormity, intelligently optimize a management strategy, improve user experience, system safety and operation efficiency, and have wide application value in multiple fields.

The invention discloses a real-time interactive digital human system supporting high concurrency and an implementation method thereof, and relates to the technical field of digital human interaction.The system comprises a model instance pool module used for loading the weight of a deep learning model to a shared memory area through the memory mapping technology; the multi-thread scheduling module is used for scheduling user requests by adopting a lock-free queue and a dynamic priority algorithm; the asynchronous pipeline processing module is composed of decoupled micro-services, and the modules are connected in series through asynchronous message queues; the client SDK is used for dynamically switching a rendering mode according to terminal hardware performance and network conditions; the elastic capacity expansion and contraction module is used for monitoring resource loads in real time and automatically adjusting the number of service instances; and the audio and video synchronization calibration module is used for ensuring that the synchronization error of the audio and video frames is lower than a preset threshold value through a timestamp alignment algorithm. According to the scheme, core challenges in a high-concurrency digital human interaction scene can be systematically solved, and innovative support is provided for large-scale real-time application.

The invention discloses a robot anthropomorphic interaction method based on multi-modal emotion recognition and customized portrait generation. The method comprises the following steps: S1, dynamically fusing multi-modal emotions; the method comprises the following steps: S1, synchronously acquiring voice, visual and text signals through a multi-source heterogeneous sensor, capturing a user voice stream by a high-fidelity microphone array, and extracting acoustic characteristics such as intonation and speed, S2, performing cross-modal reasoning; s3, synchronously generating contents; step S4: style migration; step S5, anthropomorphic voice and expression generation; according to the method, man-machine interaction emotion is analyzed and generated by utilizing a large language model and multi-modal information fusion, the singleness of interaction emotion and the deficiency of emotional sharing ability are avoided, a strong emotion interaction characteristic is achieved, the image of the robot is obtained through a generative technology and can be migrated to any image, the limitation that a specific image is independently made is broken through, and the interaction effect of the robot is improved. The advantage that one robot can be suitable for different scenes is achieved.

The invention discloses an AR navigation system and method based on a visual language model, and the method comprises the steps: firstly carrying out video data collection, and constructing a memory database; secondly, querying a navigation target most related to a natural language request of a user in the constructed memory database to obtain a current AR equipment pose and a target pose; and then solving the shortest path from the current pose to the target pose by using the current AR equipment pose and the target pose according to the point cloud map, and optimizing the path direction to finally obtain an optimized path. And finally, guiding a user to move along the planned path through view superposition path indication and voice prompt in AR equipment by utilizing the optimized path, and updating the point cloud map and the memory database. According to the invention, high-precision real-time positioning and sparse point cloud map construction can be realized only by camera input in indoor and outdoor complex environments with low GPS precision, accurate navigation is carried out, and the flexibility and intelligent level of navigation are improved.

The invention discloses a screening and evaluating system and method for cognitive impairment of old people, and belongs to the technical field of intelligent medical treatment. According to the system, electroencephalogram, VR / AR interaction, physiology and gait data are collected through the multi-modal acquisition module, the data processing module carries out data processing, dynamically selects a scale and carries out fusion analysis, the man-machine interaction module realizes natural interaction, and the output module generates a visual report and carries out early warning. The core algorithm comprises dynamic scale selection, multi-modal fusion evaluation and the like. The evaluation method comprises the steps of data acquisition, scale selection, data fusion, confidence verification, output and the like. Compared with a traditional method, the method overcomes the defects that subjectivity is high, and static evaluation, data splitting and base layer application are limited. The cognitive impairment assessment method can accurately and dynamically assess cognitive impairment, improves assessment accuracy, realizes full utilization of data, is simple and convenient to operate, is suitable for various scenes, provides efficient and reliable support for diagnosis, monitoring and intervention of cognitive impairment, and promotes development of intelligent medical treatment.

The invention discloses a medical whole-course intelligent management system based on a large model, and belongs to the technical field of large models. Comprising a multi-modal data acquisition module, a privacy calculation preprocessing module, a dynamic knowledge enhancement module, a time sequence data analysis module, an intelligent decision engine module, a multidisciplinary collaboration module, a patient interaction platform module, a dynamic intervention feedback module and a system security center module. The cross-mechanism data security sharing is realized, and the compliance of sensitive information processing is also ensured; a two-channel medical knowledge base is constructed, authoritative guidelines can be synchronized, newest clinical research data can be analyzed in real time, the knowledge base is kept in the newest state all the time, and the frontier scientific basis is provided for clinical decisions; dynamic modeling and trend prediction are carried out on long-term monitoring data of a patient by adopting a hybrid neural network model, and potential health risks and development trends can be identified more accurately.

The invention provides an augmented reality cooperation system for a cloud desktop, and the system comprises a cloud service module which generates a virtual desktop image, and carries out the resource monitoring and data storage; the AR equipment is used for collecting data and interacting with virtual reality; the collaborative rendering module is used for fusing AR rendering and virtual reality; the interaction module is used for a multi-modal interaction mode and personalized recommendation; the intelligent scheduling module is used for dynamic resource allocation, resource prediction and optimal management; the network optimization module is used for designing a layered edge architecture and introducing a QUIC protocol to carry out optimized transmission of data streams; the security module is used for carrying out encryption transmission and verifying the identity and access of the user; and the compatible module is used for defining standardized interfaces and protocols and realizing multi-platform support. Functions and resources can be deeply fused, the problems of network dependence, interaction precision, resource allocation and the like are solved, optimal AR presentation and experience effects are provided, and various application scenes are supported.

In some embodiments, while displaying a content entry user interface element and while a first content entry tool is selected, an electronic device detects a first movement of a predefined portion of a user while the predefined portion has a first shape. In some embodiments, in response to detecting the first movement, in accordance with a determination that a gaze of the user was directed toward the content entry user interface element when the first movement was detected, the electronic device enters first content, based on the first content entry tool, corresponding to the first movement into the content entry user interface element. In some embodiments, in accordance with a determination that the gaze of the user was directed toward a menu user interface element when the first movement was detected, the electronic device selects a second content entry tool for entering content into the content entry user interface element.