465 results about "Interactive content" patented technology

The invention relates to the technical field of high-precision positioning, in particular to an outdoor immersive text and travel hybrid positioning and dynamic rendering optimization method, and the method comprises the steps: obtaining a positioning signal of a mobile terminal in a target service area through a hybrid positioning model; the positioning signals comprise an ultra-wideband ranging signal, a visual inertial odometer signal, a real-time carrier phase difference signal and an inertial navigation signal; processing the positioning signal through a multi-layer signal processing filtering model to obtain coordinate data, and generating a space coordinate; constructing a user movement situation prediction model based on the space coordinates, generating a navigation prediction track and navigation confidence, and generating a preloading strategy; acquiring geographical environment parameters of the target service area, and integrating the space coordinates, the geographical environment parameters, the preloading strategy and the virtual object through a multi-dimensional virtual-real fusion model to generate an augmented reality space scene; and analyzing the user movement track data and the augmented reality space scene through a multi-modal driving model to generate interactive content.

The invention relates to the technical field of live broadcast interaction, in particular to an intelligent live broadcast interaction method and system based on an AI virtual human. The method comprises the following steps: identifying a real-time live broadcast interaction data stream, carrying out intelligent bullet screen filtering processing and multi-modal user interaction perception, and constructing a multi-modal user interaction perception map; key bullet screen extraction is carried out based on the multi-modal interaction perception map, and user demand prediction is carried out, so that user interaction demand features are generated; performing deep semantic space mapping on the user interaction demand features, and then performing reverse live broadcast semantic blank analysis to obtain demand blank covering information; user behavior dynamic analysis is carried out based on the multi-mode user interaction perception map, real-time interaction emotion global evolution fitting is carried out, and a real-time interaction emotion map is constructed. Through deep understanding and analysis of user demands, the emotion matching degree and the interaction content satisfaction degree of user interaction are improved.

The invention provides an LED display screen interaction method and system supporting voice interaction, and the method comprises the steps: carrying out the voice feature extraction processing through obtaining a continuous voice data stream sent by a user, and obtaining an acoustic feature sequence and a semantic association feature set of a voice segment; and calling a pre-trained voice semantic understanding model to perform joint semantic analysis processing on the acoustic feature sequence and the semantic association feature set, generating a semantic understanding result of the voice segment, and determining a user interaction intention type corresponding to the continuous voice data stream and key information positioning features of the user interaction intention in the voice content based on the semantic understanding result. And generating an LED display control instruction containing an interaction content identifier based on the user interaction intention type and the key information positioning feature, and sending the LED display control instruction to the target LED display screen to execute an interaction display operation. The real intention and key information in the continuous voice of the user can be accurately understood, the accuracy and naturalness of voice interaction between the LED display screen and the user are remarkably improved, and the interaction experience of the user is effectively improved.

A text generation method and apparatus, a storage medium, a computer device, and a program product are provided. The method may include performing similarity calculation on each interactive text pair in an interactive content library to obtain at least one target interactive text pair as an annotation example, the annotation example having a corresponding transformation style; performing semantic similarity retrieval in the annotation example based on text input to obtain a preset number of target annotation examples; constructing a prompt according to the target annotation example, a target style, and the text input, and inputting the prompt into a pretrained model for performing text extension to obtain at least one piece of predicted text; and performing score calculation on the at least one piece of predicted text to determine target text.

A method includes generating one or more control signals configured to cause a user device displaying a video program to display an interactive bet tracking content overlay on a graphical user interface of a user device, the interactive bet tracking content overlay including one or more values associated with one or more active bets, the one or more interactive bet tracking content overlays further including an indication regarding a current state of the one or more active bets.

A computing system can receive monitoring data from the one or more monitoring services. Based on the monitoring data, the system can determine that an event will occur in a given area and determine a subset of users within the given area. For each respective user of the subset of users, the system generates interactive content for display on a computing device of the respective user, the interactive content providing the respective user with contextual information regarding the event and a set of mitigative actions. The computing system executes a machine learning model comprising an engagement monitor to adapt the interactive content for the respective user.

The invention provides a virtual classroom interaction method and system based on knowledge representation and reasoning, and the method comprises the steps: obtaining a student interaction data flow in a power system training virtual classroom, carrying out the knowledge granularity decomposition of the student interaction data flow, and generating a knowledge tuple set containing concept nodes and relation edges, and inputting the knowledge tuple set into an inference engine to execute multi-dimensional inference processing, generating a student knowledge mastering state vector and a learning demand prediction vector, executing interaction content generation processing based on the knowledge mastering state vector and the learning demand prediction vector, generating classroom interaction response data with adaptability, and sending the classroom interaction response data to the student. And feeding back the classroom interaction response data to a virtual classroom interaction interface to form a dynamic interaction process of the student learning state and classroom feedback. According to the invention, the pertinence and practicability of virtual classroom interaction are effectively enhanced, so that the learning effect of students in power system training is improved.

The invention provides a smart tourism operation media data management system. The system comprises a data acquisition module, a data analysis module, a recommendation generation module and a terminal adaptation module. The data acquisition module is deployed at a plurality of physical nodes of a tourist destination, and acquires tourist track data, tourist behavior data and environment data in real time in combination with an RFID beacon, a panoramic camera device and an environment sensor. The data analysis module receives the collected data and generates a structured tourist behavior model. The recommendation generation module calculates personalized preferences of tourists based on the tourist behavior model, and generates personalized guidance data including touring routes, scenic spot recommendation and interaction content. And the terminal adaptation module adapts the personalized guidance data according to the characteristics of the terminal device used by the tourist. Through the multi-source data fusion and intelligent recommendation technology, accurate analysis of tourist behaviors and personalized touring experience optimization are realized, the intelligent level of tourism services is improved, and the operation efficiency of scenic spots is improved.

The invention relates to the technical field of digital display, and discloses a digital display method and system for tourism products, and the method comprises the steps: carrying out the scene semantic analysis of a real image of a target tourist attraction, and recognizing key landscape elements and a spatial relation, and obtaining scene structure data; fusing the digital display content of the tourism product with the scene structure data space, and determining a space anchor point; based on the real-time environment state data, performing adaptive rendering based on the real-time environment state data to obtain dynamic display content; packaging and displaying the action sequence and the trigger condition as interactive behavior logic and embedding to obtain intelligent interactive content; by taking the spatial anchor point as a reference, superposing the intelligent interaction content into the live-action image to obtain a reality display picture; encoding the real-time interaction intention of the user into a control instruction, and driving the intelligent interaction content in a real display picture to execute a corresponding display action; according to the invention, the efficiency of digital display of tourism products can be improved.

The invention discloses a unified streaming processing method, system and device for multi-modal AI interactive content, a medium and a program product, and the method comprises the steps: receiving a request which is sent by a user and comprises an image and a text, and constructing a request context; extracting image features; carrying out image analysis and outputting an image description text; performing intention recognition and outputting an intention; multi-stage reasoning is carried out, and thinking content fragments are generated in a streaming mode; buffering and releasing thinking content fragments; generating text content fragments based on multi-stage reasoning; buffering and releasing the text content fragments; performing recommendation triggering based on the image description text and the intention; recommending content fragments; inserting a recommended position, buffering and issuing; and process event management: issuing event notifications when the beginning, any step fails and the end. The method is a universal method capable of transmitting different types of outputs in a single ordered stream, the analysis cost can be reduced, and the interaction experience and expansibility are improved.

New and improved interfaces for the live streaming of content by a content creator are provided. In a preferred embodiment the interface comprises a first area for displaying a live streaming video; a second area for displaying a live chat simultaneously with the live streaming video and a third area for displaying a plurality of advertisement opportunities simultaneously with the live streaming video and the live chat wherein each advertisement opportunity in the plurality of advertisement opportunities includes a script that can be read by the content creator during the live streaming video.

The embodiment of the invention relates to an interface interaction method and device, equipment and a storage medium. The method comprises the following steps: presenting a first viewing interface of a shooting position; and in the first viewing interface, presenting a group of interactive contents associated with the shooting position, the group of interactive contents at least comprising a first interactive content, the first interactive content being associated with a first media content, and the first media content being published in association with the shooting position. In this way, the information display efficiency of the viewing interface associated with the shooting position can be improved.

The invention discloses a system and device based on interactive learning of multiple doll intelligent agents, and belongs to the technical field of large model intelligent agents, and the system comprises an entity doll which is provided with an NFC label and is used for being placed on a central base and establishing NFC connection with the central base, and the central base carries out NFC induction and recognition on the entity doll and integrates radio and loudspeaker functions. The method comprises the following steps: acquiring and playing an audio signal, performing voice or touch interaction with a user, and establishing communication connection with a service terminal, wherein the service terminal selects a chat theme in combination with a portrait of the user, establishes a virtual chat room, performs role attribute setting on an identified entity doll, identifies the intention of the user, and performs chat interaction with the user; the interactive discussion is output to the central base for playing in combination with the chat theme, so that a plurality of intelligent agents can be supported to deeply discuss around a specific theme, the logic continuity and education consistency of multi-role interactive contents are ensured, real group discussion experience is simulated, and an interactive atmosphere similar to group discussion is formed, thereby improving the interactive quality and learning depth.

The invention relates to a real-time interaction method and system for digital human live broadcast, electronic equipment and a program product. The method comprises the following steps: in response to an interactive behavior of a user, generating a first digital human audio for responding to the interactive behavior, generating a first digital human video for responding to the interactive behavior according to the first digital human audio, selecting an insertion frame from key frames of digital human live broadcast content, inserting the first digital human audio and the first digital human video at the position of the insertion frame, wherein the key frame is a video frame corresponding to the statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the first digital human audio and the first digital human video responding to the interaction behavior of the user can be generated, and the first digital human audio and the first digital human video are inserted into the digital human live broadcast content, so that the interaction content of the user is responded in real time; and meanwhile, the first digital human audio and the first digital human video are inserted into the statement demarcation point of the digital human live broadcast content, so that the current verbal skill is not rigidly interrupted.

A system for interactive video content includes one or more interactive engagement platform servers communicatively couplable to a user device configured to display one or more video programs received from video provider servers. The interactive engagement platform servers may be configured to: generate an API trigger; receive an event ID or metadata associated with the video program stream; generate an event report; retrieve the event report from a third-party provider; transmit the event report to an analysis system; perform one or more analysis operations based on the event report transmitted; generate one or more control signals configured to cause a graphical user interface of the user device to display a small interactive content window; and upon selecting the small interactive content window, generate one or more control signals configured to cause the graphical user interface of the user device to display an interactive content overlay.

An intelligent body system for gesture recognition and silent language recognition comprises a signal acquisition module composed of flexible strain sensors, a signal processing module, a language enhancement module, an augmented reality interaction module and an intelligent auxiliary module. Gestures or lip actions input by a user are recognized, after preliminary classification is conducted through a neural network, a large language model is called to achieve language completion and multi-language translation, an augmented reality interface is used for displaying interaction content, meanwhile, intelligent home equipment can be controlled, and the control state can be fed back in real time. The system is particularly suitable for communication of groups with sound production difficulty, has the advantages of humanization, high recognition rate, strong language complementation ability, natural interaction mode and the like, and realizes a complete intelligent interaction closed loop from perception to understanding and from recognition to control.

Disclosed are systems and methods that automate the process of analyzing interactive content data using artificial intelligence and natural language processing technology to generate subject matter identifiers and sentiment identifiers that characterize the interaction represented by the content data. The automated processing classifies, reduces, segments, and filters content data to accurately, automatically, and efficiently characterize the content data. The results of the analysis in turn allow for identification of system and service problems and the implementation of system enhancements.

The invention relates to the technical field of artificial intelligence and education technology cross fusion, and particularly discloses a new media course intelligent learning resource generation system based on generative AI, and the system obtains the multi-dimensional state data of a learner through the means of eye movement tracking, electroencephalogram collection, interaction behavior analysis and the like, and constructs a high-dimensional state space through fusion; differential induction logic programming and a depth feature extraction network are cooperatively compressed into a low-dimensional semantic meta-state space, and the model interpretability and decision-making efficiency are improved; dynamic matching of personalized resource types and difficulty levels is realized based on a graph neural network and reinforcement learning; calling a multi-modal generation model to generate texts, videos or interactive contents as required, and introducing a cross-modal consistency verification mechanism to guarantee the output quality; the system also has an online adaptive optimization capability, combines a symbol rule recombination mechanism and a differential privacy protection strategy, and takes account of user privacy security while ensuring long-term stable operation of the system.

The invention discloses a real-time ultra-high-definition interactive naked-eye 3D display content synthesis method, which comprises the following steps of S1, firstly, modeling interactive content, such as buildings, mechanical equipment, game scenes and the like, and converting mechanical and building models and the like into a. Fbx format by means of a. Step file format in a unified manner; s2, completing model processing in professional model processing software such as 3DsMax and the like: unifying coordinate axes, and performing surface reduction on the model; and S3, building an interaction scene in the Unity 3D based on the processed model. And S4, for a scene and a model needing to be displayed, generating a virtual parallax camera equivalent to off-axis photography, and controlling the shooting parameters of the parallax camera. And S5, performing hybrid synthesis on the multi-view parallax image based on the texture bitmap, calculating large-scale pixels based on a calculation shader, and shifting a GPU idle time sequence in a Unity 3D script process, and then uniformly entering a rendering assembly line to complete rendering and synthesis of the whole scene. And S6, developing interaction input logic according to different object interaction requirements. The invention provides a calculation three-dimensional display algorithm based on a texture bitmap, ultra-high-definition naked-eye 3D display content can be synthesized in real time under Unity 3D, and a better 3D display effect can be obtained by combining technologies such as equivalent off-axis photography and the like. In addition, the invention also provides a display efficiency optimization method based on a calculation shader, so that the system can run on a lower-configuration host platform, and the problem of higher hardware requirements for real-time ultrahigh-definition naked-eye 3D display content synthesis while the interaction requirements are met is solved.

The invention relates to electronic equipment, a method and a storage medium. An electronic device includes: a processor; and a memory storing computer program code, where the computer program code, when executed by the processor, causes the electronic device to perform operations including: receiving a gaze point position and head rotation information of a user; obtaining interaction content information; predicting a gaze range of the user by using an artificial intelligence (AI) model based on the gaze point position and the head rotation information of the user and the interaction content information; and rendering an interactive picture for display based on the predicted gaze range.

The invention is suitable for the technical field of intelligent content generation and personalized recommendation control, and provides an AIGC-based retail client interaction content generation and push system, which comprises an information acquisition module, a track recognition module, a behavior association judgment module, a correction parameter generation module and a content complexity regulation and control module. According to the method, the user behavior track and the wearable equipment data are fused, and a content complexity level correction mechanism based on the combined driving of the fixation time trend and the physiological state change trend is constructed. Different from an existing mode of setting a recommendation strategy only according to a behavior label or a single-dimensional feature, the method introduces a final correction parameter to dynamically adjust the complexity level of the original content, so that the generated content better fits the current attention intention and cognitive state of the user in the aspects of expression level, information density and logic structure.

The embodiment of the invention provides a split-screen interaction method and electronic equipment, the method is applied to the electronic equipment, the method comprises the steps that a first split-screen interface and a second split-screen interface are displayed, the first split-screen interface displays the content of a first application, the second split-screen interface displays the content of a second application, and the first application is different from the second application; in response to operation of a user in the interaction area of the first split-screen interface, the electronic equipment displays second content associated with first content displayed in the interaction area on the second split-screen interface, and / or the electronic equipment displays recommendation service associated with the first content displayed in the interaction area on the second split-screen interface. Through the method or the electronic equipment, the interactive content selected by a user in one split screen can be perceived by another split screen, and the interactive content can be responded in the other split screen, so that the efficiency of processing multiple tasks by the user in a split screen manner can be improved, and the split screen use experience of the user is improved.

The invention provides a teaching interaction processing method and system applied to an intelligent online practical training platform. The method comprises the following steps: firstly, acquiring a training scene data set comprising operation process simulation data (corresponding to gynecological examination and related medical skill standard operation processes) and anatomical structure model data (constructed based on medical image data and comprising three-dimensional structure feature information of a female reproductive system), and then carrying out interactive content generation processing on the training scene data set; generating interactive teaching content including operation step guide information and a three-dimensional dissection display model by combining teaching logic rules, and then receiving interactive operation data (corresponding operation simulation behaviors including operation action time sequence records and spatial position coordinates) of a user on a platform; then training effect evaluation processing is carried out on the interactive operation data and the interactive teaching content to generate a training evaluation result, and finally personalized feedback content is generated according to the evaluation result and pushed to a user interface to guide a user to adjust a training behavior, so that the medical training teaching quality and efficiency are improved.

The invention discloses an interactive content identification method and a related device, and the method comprises the steps: searching corresponding video context information from a mapping relation between a timestamp and video context information according to the timestamp of the interactive content when the interactive content in a video is monitored, and the video context information comprises a mapping relation between an object and a video line, and performing preset information detection on the interactive content and the video context information to obtain an information detection result, splicing the interactive content ID, the interactive content, the video context information and the information detection result into a feature sequence, and identifying the feature sequence to obtain an interactive content identification result. According to the method, the interaction content and the video context information are associated creatively, and traditional single interaction text analysis is upgraded to scene interaction analysis combining the interaction content and the video context, so that the accuracy of interaction content identification is improved, and the probability of occurrence of missing report or false report is effectively reduced.

In an interactive media system, for example, in a video game or extended reality (XR) environment, interactive media event information may be received. An interactive media satisfaction value may be determined based on one or more interactive media events received. For example, the event may be scoring a point by the user. When the interactive media satisfaction value is determined to be high, supplemental content with more upbeat themes may be selected for display in the interactive media user interface, while supplemental content with more negative themes, or more comfort-oriented or escapist themes may be selected when the satisfaction value is low. A user engagement metric may also be determined and used for timing, locating, and selecting a mode for presenting the supplemental content.

Disclosed are systems and methods that automate the process of measuring interactive content data polarity. The system records interactive communications and stores the interactive communications as interactive content files. Natural language processing technology is used to determine a polarity score for each interactive content data file, and the polarity score is converted to a polarity identification. The system determines a net polarity using the proportion of interactive content files having various polarity identifications. The system also classifies the interactive content files according to polarity using a branched decision network. The system sets an overall net polarity using the polarity identification and polarity classification. The overall net polarity is tracked and displayed as a function of content metadata and sequencing data.

Implementations for detecting interactive content shared during media conferences are described. Initially, a frame to be presented to one or more participants during a media conference is received. Next, interactive content within the frame is identified. A bounding perimeter surrounding the interactive content is determined. At least one action based on the type of interactive content is determined. The bounding perimeter is transmitted for the interactive content within a plurality of frames to enable the at least one action associated with the interactive content.

The invention provides an agent-based content interaction method, which can be applied to the technical field of artificial intelligence. The method comprises the following steps: in response to the situation that to-be-replied interactive content published on a content interaction platform meets a preset reply condition, generating reply content for the to-be-replied interactive content by utilizing a target agent in at least one agent; and displaying the reply content of the target agent in a reply area corresponding to the to-be-replied interactive content. The invention further provides a content interaction device and equipment based on the intelligent agent, a medium and a program product.

A system for enabling user interactions with interactive content executed by a processing device, the system comprising a peripheral device comprising one or more first input elements, one or more customisation units comprising one or more second input elements, wherein the customisation units are modular units associated with the peripheral device by a user, a mapping generation unit configured to generate an input mapping, wherein the input mapping comprises one or more functions assigned to the one or second input elements which are not able to be assigned to the first input elements.

The invention discloses a live broadcast interaction system and device based on a multi-modal intelligent agent, and relates to the technical field of live broadcast interaction multi-modal data processing, and the method specifically comprises the following steps: collecting and preprocessing multi-modal interaction data in a live broadcast interaction scene in real time; constructing a multi-modal information fusion model, and performing multi-modal information fusion on the preprocessed multi-modal interaction data; a user intention-emotion comprehensive analysis model is constructed, and the specific intention and the emotion tendency of the user are recognized according to the fused multi-modal fusion information; dynamically generating multi-modal interaction content based on the specific intention of the user and the emotional tendency of the user according to the historical multi-modal interaction data of the user; constructing a multi-modal task, and performing distributed deployment and parallel computing on the multi-modal task by adopting a distributed real-time processing architecture; and establishing a multi-modal interaction feedback mechanism, collecting feedback data of the user on the generated multi-modal interaction content in real time, and continuously optimizing the multi-modal information fusion model and the multi-modal interaction content.