329 results about "Interaction object" patented technology

The invention discloses a mechanical arm autonomous grabbing system based on a visual language model and a control method of the mechanical arm autonomous grabbing system. The method comprises the steps that firstly, a mechanical arm is initialized, and a color image and a depth image of a working interval are collected; secondly, based on the color image and the natural language description, generating a target object bounding box and confidence, and judging whether a target object exists in the scene or not; and when the target object does not exist, instance segmentation and capture feasibility detection are carried out on the visible object in the current scene. And then the depth image and the object binary mask passing through grabbing feasibility detection are sent to an interaction object selection strategy and an action selection strategy to obtain an object to be interacted and a pushing action direction. And finally, center coordinates of the to-be-interacted object and center coordinates of the mechanical arm are obtained, the obstacle is moved in the pushing action direction until the target object appears and can be grabbed, and the mechanical arm grabs the target object and places the target object at a designated position. According to the method, the object specified by the human natural language can be accurately recognized and grabbed.

The embodiment of the invention provides a memory processing method based on an intelligent agent, a storage medium and an electronic device, a memory architecture of the intelligent agent comprises a first memory layer, a second memory layer and a third memory layer, the first memory layer is used for storing historical dialogue information of interactive dialogue between at least one interactive object and the intelligent agent, and the second memory layer is used for storing historical dialogue information of interactive dialogue between at least one interactive object and the intelligent agent. The second memory layer is used for storing structured events extracted from historical dialogue information, and the third memory layer is used for storing pattern induction memory obtained by performing pattern induction on the structured dialogue events; the method comprises the steps that in response to current round dialogue input information of a target interaction object, target storage information associated with the current round dialogue input information is retrieved from at least one memory layer in a memory architecture, and the current round dialogue input information and the target storage information are assembled into a current cue word; and submitting the current prompt word to a specified interaction model through the intelligent agent, and outputting a response result of the specified interaction model to the interaction object.

The invention discloses a terminal equipment interface display method and system based on user habits, and belongs to the technical field of digital display, key features such as user intention deviation degree and interface attention stability index are extracted by collecting behavior data of a user for interaction objects and function modules, and a user preference weight table is calculated and dynamically updated; interface module sorting is further carried out in combination with a deep learning model, a fuzzy logic evaluation mechanism is introduced to carry out interpretable scoring on a sorting result, when a scoring result is lower than a threshold value, the system automatically corrects a sorting strategy based on user feedback, and finally optimized interface display content is output. Personalization, dynamics and controllability of interface display are achieved, and the man-machine interaction experience and the user satisfaction degree of the terminal equipment are effectively improved.

The invention discloses a police affair studying and judging method based on behavior feature recognition, and relates to the technical field of intelligent police affair and behavior modeling, and the method comprises the steps: collecting dynamic behavior data of a target object, and constructing a dynamic behavior portrait map comprising a behavior event, a time node, a spatial position and an interaction object; time sequence modeling is carried out on the map, and individual behavior chain feature vectors are extracted; comparing the current behavior chain with the historical behavior chain and the group mean value model, and calculating the deviation degree; performing cross-regional universality evaluation on the deviation degree through a transfer learning model; if the deviation degree exceeds a preset threshold value, generating early warning information in combination with a regional safety rule and pushing the early warning information to a police research and judgment system; according to the method, accurate identification and hierarchical response of abnormal behaviors can be realized, and the method has high robustness, strong generalization ability and good actual combat adaptability.

The invention discloses a financial fraud behavior intelligent tracking and early warning system, and the system comprises an obtaining module which is used for obtaining a risk behavior in a financial interaction event, and a plurality of interaction objects and a plurality of interaction behavior signals corresponding to the risk behavior; the construction module is used for constructing a risk data chain based on the plurality of interaction objects and the plurality of interaction behavior signals; the first determination module is used for determining risk information of each risk node in the risk data chain; the judgment module is used for judging whether financial fraud behaviors exist or not according to the risk information of each risk node; and the tracking and early warning module is used for carrying out intelligent tracking and early warning on the financial fraudulent behavior according to the risk data chain when the financial fraudulent behavior is determined to exist. The risk information of the risk node is locally determined based on the risk data link, whether financial fraud behaviors exist or not is judged from the whole risk data link, and accurate tracking and early warning are achieved.

The invention discloses an AI-based classroom content analysis method, system and device, and a storage medium. The method comprises the following steps: acquiring classroom video and voice data in real time; identifying and judging a current classroom scene by using the first multi-modal fusion and scene identification model; according to a preset classroom scene-interaction object mapping rule, determining an interaction object correspondingly mapped by the current classroom scene; utilizing a second multi-mode fusion and effective interaction identification model to extract behavior characteristics of the student, and judging whether the current student behavior is effective interaction; counting the ratio of the effective interaction duration to the total detection duration, and calculating the classroom concentration of the students; based on the interaction quality evaluation model, performing weighted calculation to obtain an interaction quality index of the student; and automatically generating an analysis report about the class concentration level and the interaction quality level according to a preset level evaluation standard. According to the method, accurate quantitative analysis of the concentration degree and the interaction quality of the students in the classroom can be realized, and the classroom analysis report is automatically generated.

An example method includes obtaining a reference trace describing interactions between a machine-learned agent system and an environment, wherein the reference trace includes a reference sequence of interaction objects associated with performance of a task, each respective reference interaction object of the reference sequence of interaction objects corresponding to a respective reference environment state and a respective reference action executed on the respective reference environment state. The example method includes generating, using a machine-learned trace generation system, a forecasted trace based on the reference trace, the forecasted trace comprising a forecasted sequence of interaction objects that is predicted to continue the reference sequence of interaction objects from a branching position toward performance of the task, each respective forecasted interaction object of the forecasted sequence of interaction objects corresponding to a respective forecasted environment state and a respective forecasted action executed on the respective forecasted environment state. The example method includes training the machine-learned agent system using the forecasted trace sequence.

The invention discloses a multi-language speech recognition and interaction method of a humanoid robot, particularly relates to the technical field of speech recognition and interaction, and effectively separates background noise and target speech signals through a multi-channel high-sensitivity microphone array in combination with an adaptive noise elimination algorithm, thereby improving the speech signal recognition accuracy in a noisy environment and improving the speech recognition efficiency. A speech speed fluctuation abnormal coefficient, an intonation deviation coefficient and a background noise influence coefficient are calculated through deep analysis of speech signals and background noise feature data of a target interaction object, and a sentence segmentation model is adjusted according to habits of speech speeds, intonation, pauses and the like of different speakers, so that the problem of inaccurate sentence segmentation under different users or contexts is avoided; the sentence segmentation adaptation optimization index is generated according to the sentence segmentation adaptation optimization model, whether parameters of the sentence segmentation model need to be adjusted or not is judged by combining a threshold value, real-time response and optimization are achieved, the situation of misjudgment or missed judgment is reduced, and the smoothness and accuracy of overall interaction are improved.

The invention provides a vehicle lamp entertainment interaction method and device and a computer readable storage medium, and the method comprises the steps: obtaining a live-action image of an interaction region projected by a projection headlamp in front of a vehicle, and detecting human body key points in the behavior performance of an interaction object participating in a game indicated by the live-action image in the interaction region, and analyzing and identifying through a visual algorithm, and determining the interaction behavior of the interaction object. The interaction behavior is converted into an operation instruction in a game, and the projection headlamp is controlled to project a picture indicated by the operation instruction in the interaction area, so that a user is allowed to directly control a vehicle lamp entertainment system through gestures, and the driving experience of the user is greatly enriched and improved.

The invention discloses a man-machine interaction method, device and equipment based on an aircraft unstructured grid and a storage medium, and relates to the technical field of fluid mechanics, and the method comprises the steps: constructing a current directed bounding box as a root node based on a to-be-processed unstructured grid of an aircraft, equally dividing the current directed bounding box into a plurality of sub-bounding boxes from the root node, binding the sub-bounding boxes with sub-nodes of the root node, and carrying out layer-by-layer iteration until a preset hierarchy threshold value is reached to obtain a target space segmentation structure; determining a minimum bounding box of each interaction object in the generated interaction object grid set, performing intersection detection on the minimum bounding box and each node in the target space segmentation structure, and storing data of the interaction objects to a bottom leaf node; the capture state identifier is set by judging whether the interaction object data is stored in each bottom-layer leaf node, and collision detection with the bounding box of each bottom-layer leaf node provided with the capture state identifier is performed in the interaction range of the interaction instruction to obtain the target interaction object, so that the man-machine interaction efficiency is improved.

The invention discloses a virtual interaction system for realizing multi-dimensional perception, which relates to the technical field of virtual interaction, and comprises a man-machine interaction unit, a mapping matching unit, a data processing unit and a data processing unit, and the coordinate matching module is responsible for establishing a coordinate matching relation of the virtual object in the virtual space according to the size, shape and attitude parameters of the virtual object. The interaction device is operated to control the intelligent mark point in the virtual interaction system to interact with the target object, according to the position relation in the interaction process, the position posture of the interaction object is collected to determine whether contact occurs, event triggering and target interaction are achieved through the triggering control unit, a user senses the event, and the interaction efficiency is improved. Interaction requirements can be met, multi-target interaction control requirements are met, and the purpose of saving system resources is achieved.

The embodiment of the invention discloses an object interaction method and device, equipment, a storage medium and a program product, and the method comprises the steps: displaying a personal page of a first account, the personal page comprises at least one point-of-interest theme, and the point-of-interest theme is determined according to historical point-of-interest evaluation information of the first account; and in response to a trigger operation for a target point of interest theme in the at least one point of interest theme, displaying a target map page, the target map page displaying evaluation information of the at least one second account for the target point of interest, and the target point of interest belonging to the target point of interest theme. By adopting the embodiment of the invention, the interaction object matched with the user demand can be quickly found, and the use experience of the user is improved.

The invention relates to a live broadcast processing method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a random interaction matching instruction triggered by a target live broadcast object, and displaying matching indication information in a live broadcast page, the matching indication information being used for indicating that a live broadcast interaction object is being matched for the target live broadcast object; under the condition that the at least one first live broadcast interaction object is matched within the preset matching time, displaying a picture of interactive live broadcast between the target live broadcast object and the at least one first live broadcast interaction object on the live broadcast page; the at least one first live broadcast interaction object is a live broadcast interaction object of which the corresponding matching degree is greater than a preset threshold value after object matching is performed on live broadcast objects in a preset random object pool and a preset live broadcast object pool based on the live broadcast attribute information corresponding to the target live broadcast object. According to the embodiment of the invention, on the basis of improving the matching efficiency, the live broadcast interaction object matching accuracy is improved, and the live broadcast effect of interactive live broadcast can be effectively improved.

The invention relates to the technical field of artificial intelligence, and particularly provides an interaction optimization method, system and device based on sentiment analysis and a storage medium, and the method comprises the steps: collecting input data of an interaction object from a plurality of channels in an interaction process, and obtaining multi-source data; extracting multi-source feature data from the multi-source data; entities and relations are extracted from the multi-source feature data, and query statements are generated based on the entities and the relations; identifying an emotion label corresponding to an entity in the query statement from the multi-source feature data; and based on the query statement and the corresponding emotion tag, scoring a plurality of answers generated based on the query statement and a pre-constructed knowledge graph, and sorting and displaying the plurality of answers according to scores from high to low. According to the invention, multi-source input data can be identified, and answers most matched with user demands can be provided.

The invention relates to the technical field of vehicles, in particular to a multi-mode out-of-vehicle interaction method and related equipment based on environment self-adaptation, and the method comprises the steps: obtaining perception information in real time through an environment perception module, the perception information comprising environment conditions, interaction object information and scene semantic understanding information; based on the perception information, utilizing an adaptive decision engine to dynamically analyze an optimized interaction mode and parameters, and generating interaction content; outputting interaction information according to the interaction content generated by the self-adaptive decision engine through a multi-modal output module; the interaction strategy is dynamically adjusted by sensing the environment state in real time, and the safety and the interaction efficiency can be improved.

The invention provides an interaction method and device in a game, electronic equipment and a storage medium. According to the method, an interaction panel containing at least one interaction option is displayed on a graphical user interface in response to a first trigger operation, so that a first interaction object is selected in response to an object selection operation in a state of keeping the display of the interaction panel, and the first interaction option is determined in response to a second trigger operation for the interaction panel; therefore, the interaction signal corresponding to the first interaction option is sent to the first interaction object. According to the embodiment of the invention, interaction operation levels are reduced, rapid object selection and expression sending are realized, and the interaction efficiency and the interaction experience among players in a game are greatly improved.

The embodiment of the invention provides a vehicle interface information generation method and system and a vehicle, an interactive interface is deployed on the vehicle, in the process that the vehicle is safely driven by an interactive object, the interactive interface is presented in the visual range of the interactive object, and the method comprises the steps that the performance index type of the interactive interface is determined; determining test interface information associated with the performance index type; in the process that the interaction interface displays the test interface information, electroencephalogram data and / or eye movement data of the interaction object for the test interface information are / is collected; determining a test result of the test interface information based on the electroencephalogram data and / or the eye movement data; based on the test result, target interface information meeting the driving scene of the vehicle is generated for the interactive interface, and a performance index result of the target interface information under the performance index type meets a performance index threshold value under the performance index type. The technical problem that the interface information generation effect of the vehicle is poor is solved.

The invention discloses an interactive intelligent customer service robot interaction method and system based on a large language model, and relates to the technical field of artificial intelligence. A pre-trained BERT model is adjusted according to preprocessed text data to obtain an intention entity recognition model; predicting dialogue intention category probability distribution and a dialogue entity label sequence of the interaction object by utilizing an intention entity recognition model, constructing a causal relationship graph among dialogue intention categories, dialogue entity labels and behaviors, recognizing the dialogue intention category probability distribution and the dialogue entity label sequence of the interaction object in real time, and setting the dialogue intention category probability distribution and the dialogue entity label sequence as target demand variables; determining a value set of the target demand variable, calculating probability distribution of the value set according to the causal relationship graph, taking a value of which the probability is greater than a probability threshold as a main demand of an interaction object, retrieving a solution related to the main demand to generate a dialogue reply, and obtaining feedback of the interaction object to dynamically adjust a dialogue strategy. And intelligent customer service interaction work is realized.

The invention discloses a personalized operation guide intelligent generation method based on a multi-modal behavior path chain, and relates to the technical field of software, the method comprises the following steps: defining an interaction object, and setting an ID and a basic attribute of the interaction object; the user triggers an interaction object and uploads interaction record data; performing user path modeling by using the interaction record data, and inputting user path modeling data into an AI large model to analyze a user operation intention; and generating an operation guide by combining the interaction record data of the user, the user path modeling data and the user operation intention. According to the method, interaction event nodes are defined, user operation behaviors are recorded, identity information is associated, a user path chain database is constructed, an AI algorithm is adopted to analyze user path chain data to visualize the operation guide, and dynamic optimization of the operation guide is achieved. The technical problems that a traditional static guide depends on manual writing, when a product has a personalized page generation function, the user portrait cannot be dynamically adapted, and operation traceability visualization is insufficient are solved.

The invention provides a man-machine interaction method and device, augmented reality equipment and a storage medium, and the method comprises the steps: precisely recognizing the fingertip coordinates of the hand of a user through a fingertip tracking algorithm, providing an accurate input point for subsequent interaction, and guaranteeing the accuracy of interaction; the target ray is fitted by using the ray direction from the eyes of the user to the fingertip and the fingertip coordinates, so that the interaction object of the user is determined, and the interaction is more intuitive and natural; the collision intersection point of the target ray and the screen interface is determined through a collision detection algorithm, and the specific position where the user intends to operate is determined, so that quicker response and more accurate control can be realized, the real-time performance of interaction is enhanced, and the interaction efficiency is improved; according to the method, the collision intersection point coordinates are converted into the screen coordinates through the coordinate mapping algorithm, accurate correspondence between the user gestures and the controls is achieved, and therefore the accuracy and efficiency of interaction are improved, and interaction in the augmented reality environment is more convenient and efficient.

The invention discloses a multi-chess game robot control method and system based on behavior and emotion adaptive game difficulty adjustment. The method comprises the following steps: initializing a multi-chess game scene; interaction object behavior and emotion perception; calculating the instantaneous state time sequence of the interaction object; performing two-way mapping calculation on the difficulty coefficient to obtain a final difficulty coefficient; and according to the output final difficulty coefficient state, a game strategy of a preset AlphaZero reinforcement learning model and kinematics parameters of the mechanical arm are adjusted, so that dual anthropomorphism of the game level and the action performance of the robot is achieved. Executing control and safety detection; according to the method, behaviors and emotions of the interaction object are sensed in real time, self-adaptive adjustment of the game difficulty is achieved in the two dimensions of the game strategy and the physical action, and the interaction experience and the intelligent level of man-machine game are effectively improved.

The invention discloses a vehicle control method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a candidate human body object from a collected image, carrying out the motion detection of the candidate human body object, obtaining a motion detection result, and carrying out the control of a vehicle when determining that the candidate human body object meets a preset vehicle interaction authority granting condition according to the motion detection result. According to the method, the human body objects in the collected images are detected twice, then the candidate human body objects are endowed with the authority of interaction with the vehicle, then the target parts of the vehicle are controlled according to the actions of the candidate human body objects in the interaction process with the vehicle, and the accuracy of the finally determined interaction objects is improved; the candidate human body objects are determined firstly, and the objects having the interaction intention with the vehicle are preliminarily screened, so that the subsequent action detection process can be focused on the objects having the interaction intention with the vehicle, action detection on irrelevant human body objects can be avoided, the interaction object establishment efficiency is improved, and the detection accuracy is improved. And the operation efficiency of the vehicle control method is improved.

The invention relates to a user interface interaction method, a user interface interaction device, mobile terminal equipment and a computer readable storage medium, and the method comprises the steps: responding to an operation of a user entering a current interaction object of application software, and displaying a first user interface of the current interaction object; displaying jump entries of other interaction objects in an associated interaction object set associated with the current interaction object in advance on the first user interface; wherein the associated interaction object set comprises a current interaction object and at least one other interaction object which have an association relationship; in response to a trigger operation executed by a user on a jump entry of a target interaction object, jumping from a current interaction object to opening the target interaction object; displaying a second user interface of the target interaction object, and displaying jump entries of other interaction objects on the second user interface; according to the technical scheme, the operation efficiency of user interface interaction on the application software is greatly improved.

An interaction method and an interaction device for a display interface are provided. The display interface includes at least one object interaction area and a shared display area. The method includes receiving an operation instruction for an interaction object through an object interaction area of the at least one object interaction area; and in response to the operation instruction, displaying content to be operated of the interaction object in the shared display area. The object interaction area and the shared display area are in different areas of the display interface.

A content display method executed by a computer device. The method comprises: in a video interaction scenario involving at least two interaction objects, in a video interaction page of one of the interaction objects, displaying video images collected in real time by a login terminal of at least one of the remaining interaction objects (S302); in response to an environment content attention event triggered for environment content in any video image, using the environment content matching the environment content attention event as selected content (S304); and in the video interaction page, displaying a content image associated with the selected content (S306).

The invention relates to the technical field of software testing, and discloses an AB experiment method, device, system and equipment, a storage medium and a product. According to the scheme, the AB experiment rule can be obtained based on the current call application program, the AB experiment rule comprises the shunting rule and the experiment configuration, the communication connection with the interaction object is established, shunting is carried out based on the shunting rule, the shunting result is obtained, and the experiment data is reported according to the experiment configuration and the shunting result after the communication is finished, so that the AB experiment is completed. According to the scheme provided by the embodiment of the invention, the AB experiment rule can be issued to the client in advance, the AB experiment rule is executed on site when the service meets the condition, the shunting result is quickly obtained, the AB experiment shunting efficiency and the subsequent experiment accuracy are remarkably improved, in addition, the shunting rule needing to be used does not need to be supported by an experiment platform and only needs to be supported by the client, and the workload of the client is reduced. And the method also has better expansibility.

A method, system, electronic device, and storage medium for rapid development of digital humans are disclosed, relating to the field of digital human development. In this method, upon receiving a first character's requirements and a first scenario's requirements, first appearance features and personality traits are determined based on the first character's requirements; second appearance features and preset functions are determined based on the first scenario's requirements; a first digital human is constructed based on the first appearance features, second appearance features, personality traits, and preset functions; an activity scenario and test scenarios are constructed based on the first scenario's requirements, the test scenarios including triggering conditions, interaction objects, and expected results; and the first digital human is trained based on the test scenarios to obtain a second digital human. Implementing the technical solution provided in this application achieves the effect of rapidly developing digital humans capable of handling complex scenarios and emotional interactions.

The present disclosure relates to a method, apparatus, electronic device, and computer-readable medium for processing a written document. The method includes: obtaining a graphic and text control identifier within a preset area; determining a target interaction instruction and a target interaction object area based on the graphic and text control identifier; obtaining a document image of the written document within the target interaction object area; and processing the document image based on the target interaction instruction. The method, apparatus, electronic device, and computer-readable medium for processing a written document according to the present disclosure can implement the multimedia interaction function of the user's written document without relying on a display screen, and the user can also call computer multimedia resources for interaction.

The invention provides an interaction recognition method and device, equipment, a storage medium and a product, and relates to the field of big data. The method comprises the following steps: acquiring multi-source data and an interaction recognition model; the multi-source data comprises interaction data corresponding to a plurality of interaction objects on different data source platforms, and the interaction recognition model is used for recognizing the interaction objects with abnormal interaction behaviors; performing data integration on the multi-source data to obtain a standard data set; based on an interaction recognition model, recognizing the standard data set, and determining at least one abnormal interaction object with abnormal interaction behaviors; generating an abnormal interaction thermodynamic diagram according to the geographic area where the at least one abnormal interaction object is located; the abnormal interaction thermodynamic diagram is used for displaying the distribution condition of the abnormal interaction behaviors. According to the method and the device, the abnormal interaction behavior in the interaction process of the virtual exchange tool can be efficiently monitored on the premise of not increasing the monitoring cost.

According to embodiments of the present disclosure, methods, apparatuses, devices and storage media for interaction of virtual scenes are provided. The method comprises, in response to a start instruction of an application, loading scene data associated with a first virtual scene; displaying an interaction interface of the application, the interaction interface providing a plurality of interaction entrances associated with different virtual scenes, wherein the interaction interface displays a first image of the first virtual scene, the first image being rendered based on the scene data; and displaying a first interaction page of the first virtual scene, the first interaction page displaying at least one interaction object in the first virtual scene, the at least one interaction object being rendered based on at least the scene data. Thus, embodiments of the present disclosure can load resources of related virtual scenes in advance during loading of the interaction interface providing multiple interaction entrances, thereby improving loading efficiency of virtual scenes.