594 results about "Interactive content" patented technology

A presentation assistance system receives information about a presentation to be given and automatically provides feedback to improve the presentation either offline or in real time as the presentation unfolds using computer models, where a presentation is a collection of multi-media content, including but not limited to text, slides and graphics, and audio and video streams. The computer models may be trained based on prior presentations and performance metrics of relevant entities. In particular, the presentation includes interactions with audience members and computer models are used to generate likely participants and related interactions, such as questions or recommendations for improved interactions, relevant to the current presentation based on a set of machine learning and AI models, and, in particular, language models. The language model may be prompted with prior relevant questions to determine questions for the current presentation and evaluate the likelihood that the current presentation effectively answers them.

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 provides a virtual image control method, and the method comprises the steps: obtaining live broadcast interaction data of a live broadcast room, the live broadcast interaction data comprises live broadcast bullet screen data and anchor voice data, and the live broadcast room comprises a virtual image and an anchor; according to live broadcast bullet screen data, determining a target question to be replied, the live broadcast bullet screen data being sent by audiences in a live broadcast room; determining target interaction content according to the target to-be-replied question, wherein the target interaction content comprises reply content of the target to-be-replied question; target interaction data are determined according to the target interaction content, the target interaction data are used for displaying the target interaction content to audiences in the live broadcast room through a virtual image, and the target interaction data comprise target audio data and target video data; and adding the target interaction data in the live broadcast data of the live broadcast room. Therefore, interaction with the audience is realized through the virtual image, so that the interaction between the audience and the anchor can be responded in time, and the watching experience of live broadcast is improved. The invention further provides a corresponding device and related equipment.

The invention discloses a touch and talk pen interactive content generation method based on adaptive learning. The method comprises the following steps: S1, acquiring a learning behavior data set of a user; s2, based on the learning behavior data set, constructing a dynamic knowledge graph of the user through an adaptive learning algorithm; s3, analyzing the learning behavior data set by using a query committee algorithm; s4, triggering a content generation module according to a bifurcation calculation result, wherein the content generation module generates learning content adaptive to the learning demand of the user based on the dynamic knowledge graph and the learning behavior data set of the user; s5, performing multi-mode interactive presentation of the learning content through the touch and talk pen; s6, performing feedback based on a learning behavior data set of the user for the learning content; s7, outputting a learning feedback report, wherein the learning feedback report is analyzed and generated based on the learning behavior data set of the user; and S8, repeating the steps S1 to S7. The interactive experience of the user is remarkably improved, the touch and talk pen is converted into an intelligent learning assistant from a passive content presentation tool, and efficient learning support and feedback are provided for the user.

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 present application provides an avatar control method, comprising: acquiring live streaming interaction data of a live stream, the live streaming interaction data comprising live streaming bullet screen data and live streamer speech data, and the live stream containing an avatar and a live streamer; according to the live streaming bullet screen data, determining a target question to be answered, the live streaming bullet screen data being sent by viewers of the live stream; according to said target question, determining target interaction content, the target interaction content comprising answered content of said target question; according to the target interaction content, determining target interaction data, the target interaction data being used for displaying the target interaction content to the viewers of the live stream by means of the avatar, and the target interaction data comprising target audio data and target video data; and adding the target interaction data to live streaming data of the live stream. Therefore, interaction with the viewers is implemented by means of the avatar so as to promptly respond to the interaction between the viewers and the live streamer, thus improving the viewing experience of the live stream. The present application further provides a corresponding apparatus and a related device.

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.

Systems and methods for dynamic content display generation for multiple device setups are provided. Supplemental content files associated with an interactive content title may be stored in memory in association with parameters specific to different types of user devices. A current interactive session associated with a first device may be monitored and determined to include a virtual environment presentation associated with the interactive content title. A type of a secondary device associated with the user may be identified. A supplemental content package may be generated for the secondary device based on a selected set of supplemental content and a set of the parameters associated with the type of the secondary device. The supplemental content package may be provided to the secondary device during the current interactive session, and the secondary device may generate a presentation of the selected set of supplemental content files in accordance with the set of parameters.

The invention relates to a display device, a server and a story picture book generation method. The method comprises the steps that interaction content input by a user and sent by a display device is received, a large language model is called based on the interaction content, a story text is generated, the story text comprises a plurality of split texts, a split cue word extraction model applied to the large language model is triggered, a split cue word is extracted from each split text, and the split cue word is displayed on the display device. The sub-mirror cue word extraction model is obtained by training the low-rank adaptation model based on a sub-mirror text sample containing a sub-mirror cue word label matched with the role, for each sub-mirror, a sub-mirror graph of the sub-mirror is generated based on the sub-mirror cue word of the sub-mirror, and the sub-mirror text of the plurality of sub-mirrors and the sub-mirror graph are used as story picture book data and are fed back to the display device. And displaying the story picture book data by the display equipment. By adopting the method, a high-quality story picture book can be generated, and the interaction experience of a user is effectively improved.

The invention discloses an emotion analysis processing method for a humanoid robot, and the method comprises the steps: obtaining first multi-modal data of a user, and carrying out the preprocessing of the first multi-modal data, and obtaining second multi-modal data; performing time sequence synchronization and feature extraction on the second multi-modal data to obtain voice feature data, posture feature data and visual feature data; according to the voice feature data and the posture feature data, performing self-attention feature fusion on the visual feature data to obtain fusion features; inputting the fusion features into an emotion classification model for emotion recognition to obtain emotion state information; and inputting the emotional state information into an emotional interaction generation model for emotional interaction generation to obtain emotional interaction information. According to the method, by improving the accuracy and robustness of emotion recognition in the man-machine intelligent interaction process, the matching degree of the generated interaction content and the user emotion can be improved, and the user experience is improved. The invention relates to the technical field of emotion analysis.

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 embodiment of the invention relates to a content generation method and device, equipment, a storage medium and a program product, and relates to the technical field of generative models, large models, large language models, agents, artificial intelligence and the like. The method comprises the steps of displaying a first content generation page in response to a trigger operation acting on a content generation function, and displaying a first description input control and a content generation control in the first content generation page; in response to an input operation on the first description input control, determining content description information; in response to a trigger operation acting on the content generation control, calling a content generation model based on the content description information, and generating target content; in response to a trigger operation acting on the editing control of the target content, displaying an editing page of the target content; and in response to an interaction operation acting on the editing page, editing the target content based on interaction content corresponding to the interaction operation to generate edited target content. Therefore, a secondary editing function is provided, and the generation efficiency and quality of the target content are 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 invention discloses a cardiac flow experience closed-loop regulation and control method and system based on sensory movement synchronization. The method comprises the following steps: acquiring initial electroencephalogram data of a user, extracting frequency domain periodic and non-periodic electroencephalogram characteristics related to cardiac flow experience to obtain an initial electroencephalogram characteristic value, randomly presenting rhythmic sensory stimulation at a preset rhythm, and executing corresponding behavior response by the user; calculating a sensory motion synchronization index; according to the sensory motion synchronism index and a preset interval, the sensory motion synchronism index is stabilized in the preset interval by adjusting the rhythm; extracting frequency domain periodic and non-periodic electroencephalogram features again, and calculating the variable quantity of the relative initial value; judging whether the sensory stimulation presentation rhythm is adjusted or not in combination with the variable quantity and a preset standard; and if the rhythm needs to be adjusted, repeatedly executing the previous steps until the variable quantity of each electroencephalogram characteristic value is adjusted to a preset standard. The system can adaptively adjust the interaction content, optimizes the heart stream experience according to the electroencephalogram characteristics of the user, and improves the immersion and pleasure of the user.

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 relates to a display device, a server and an interaction processing method. The display device includes: an input interface configured to receive interactive content input by a user; a display configured to display a user interface; the audio output module is configured to play audio; the controller is configured to control the display to display a reply text under the condition that the keyword in the interaction content is matched with the movie and television character in the movie and television work; wherein the reply text takes the movie and television character as the first person, and the text content of the reply text is matched with the movie and television work to which the movie and television character belongs and the role image information of the movie and television character; and the audio output module is controlled to broadcast a reply voice taking the reply text as voice content, the voice content of the reply voice is the reply text, and the tone of the reply voice accords with the tone of the movie and television character. By adopting the scheme, the strong correlation between the reply content and the movie and television characters and the movie and television works can be ensured, and the interestingness of the user in the interaction process is increased.

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.

One variation of a method for serving interactive content to a user includes, at a visual element inserted into a document accessed by a computing device: loading a first frame from a digital video; in response to a scroll-down event that moves the visual element upward from a bottom of a window rendered on the computing device toward a top of the window, seeking from the first frame through a subset of frames in the digital video in a first direction at a rate corresponding to a scroll rate of the scroll-down event, the subset of frames spanning a duration of the digital video corresponding to a length of the scroll-down event; and, in response to termination of the scroll-down event with the visual element remaining in view within the window, playing the digital video forward from a last frame in the subset of frames in the digital video.

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.

Systems and methods may be used to automatically detect a query in interactive content. A system may implement a method that includes receiving an audible signal. The method may include determining that a portion of the audible signal includes speech. The method may include translating at least the portion of the audible signal. The portion of the audible signal may be translated into a natural language output. The method may include generating an identifier (ID) associated with the speech. The ID maybe generated on a condition that the natural language output includes a trigger. The method may include generating an inaudible signal that includes the ID. The method may include synchronizing the inaudible signal with the audible signal. The method may include transmitting the audible signal a ta first frequency. The method may include transmitting the inaudible signal at a second frequency.

Systems, methods and apparatus of machine-learning-predictive-analytics, the method performed by a predictive analytic control computer and including receiving from a second computer a training-profile data that describes one or more contributions of resources that are associated and identified with particular entities, receiving from a third computer a training-profile data that are associated and identified with the particular entities, that does not describe one or more contributions of resources the training-profile data, and that includes data that is that is received from additional computers that host websites and applications that focus on communication, community-based input, interaction, content-sharing and collaboration that describe a first set of features and representations of issues of interest of the particular entities, generating a machine-learning-predictive-analytic model by a machine learning-predictive-analytic trainer in reference to the training-profile data, generating predictions from the machine-learning-predictive-analytic model and from a second set of features and representations of issues of interest.

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.