246 results about "Interactive graphics" patented technology

A system for monitoring hemodynamic status of a patient can include a transducer, an adapter and one or more monitor devices. The adapter may be in communication with the transducer and the one or more monitor devices. The adapter can be configured to receive and process data from the transducer such as unprocessed physiological data. The adapter can be configured to transmit data to the monitor device(s) such as processed and / or unprocessed physiological data. The adapter can be configured to generate, and transmit to the monitor devices(s), user interface data for rendering interactive graphical user interfaces to display information such as physiological information relating to a hemodynamic status of the patient. The adapter can be configured to receive and process, from the monitor device(s) user commands or instructions to control an operation of the system or its components.

A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and / or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

The invention discloses a three-dimensional Gaussian sputtering method for sparse visual angle semantic priori. The method comprises the following steps of: 1, acquiring a target scene image, constructing a real image set as a data set, and manually selecting an interested object in a target scene to perform semantic three-dimensional reconstruction to obtain an initial semantic image of a sparse view angle; a multi-view image is collected, camera external parameters and scene sparse point clouds are obtained, a plurality of views are selected and input into the SAM2 segmentation model, and a view set Is with semantic images is obtained; 2, using a pre-trained SAM2 segmentation model as an interactive image sequence segmentation model, and initializing a three-dimensional Gaussian primitive according to the scene sparse point cloud; and step 3, training parameters of semantic three-dimensional Gaussian sputtering based on the trained three-dimensional Gaussian sputtering model and the interactive image sequence segmentation model, and reconstructing a target scene. According to the method, the high-quality semantic model is efficiently reconstructed. And the reconstruction result can be easily corrected through the interactive graphical interface in the training process.

Methods and systems are disclosed for dynamic interactive graphing of entity attributes. Data is received into a structured interface, the data defining attributes of an entity, and the structured interface defining relationships between the attributes. An interactive graph is generated of the attributes. The attributes are arranged within the interactive graph according to the relationships. The interactive graph is presented using a graphical user interface. The system receives a selection of at least one specified attribute of the attributes and rearranges the interactive graph dynamically in the graphical user interface based on the selection of the at least one specified attribute of the attributes.

Presented herein are interactive graphical user interfaces (GUIs) for providing automated, real-time interactive assistance to a human user creating electronic documents. In certain embodiments, the GUI includes an alphanumeric text processing region, an AI-generated text region, and a reference list region. The AI-generated text region contains one or more alternative blocks of text responsive to a user query and based on specific references (e.g., articles, books, or other written works). The references are listed in the reference list region of the GUI.

The invention discloses a multi-machine and multi-task scheduling system for an automatic chemical laboratory, and belongs to the field of automatic chemical experiment control systems. Comprising a task receiving module connected with a multi-machine multi-task scheduling module, a multi-task scheduling module connected with the multi-machine multi-task scheduling module, a multi-robot control module connected with a workstation control module, a multi-robot control module connected with the multi-machine multi-task scheduling module, and a workstation control module connected with the multi-robot control module. And the server is connected with the multi-machine multi-task scheduling module. The system can receive a chemical experiment task input by a user through an interactive graphic task interface, construct a formatted chemical experiment task flow through a rear end, optimize the formatted chemical experiment task flow into a task scheduling schedule through a constraint programming algorithm, and guide a robot and an automatic experiment work station to execute. Therefore, intelligent scheduling and automatic execution of multiple types of chemical experiments in an automatic chemical laboratory scene are realized.

A data distribution system configured to receive market data from one or more market data sources, associated location data from one or more location data sources, and polygons from one or more polygon sources. The system may normalize the location data and the polygons such that a format of the normalized location data matches a format of the normalized polygons. Upon receiving, via an interactive graphical user interface (GUI), user input comprising a data request, the interactive GUI may determine that the data request comprises at least a portion of the normalized location data. The interactive GUI may augment the normalized location data with one or more normalized polygons, generate an augmented presentation package comprising the one or more normalized polygons, and display the augmented presentation package, such that the one or more normalized polygons are presented on an interactive map interface.

A system for automated generation of a schema based on a plurality of artifacts is provided. The system includes a centralized artifact repository storing the artifacts and metadata characterizing each artifact and a computing device. The computing device performs operations including receiving user input indicating an application container, obtaining, from the repository, the metadata for artifacts of the plurality of artifacts, providing, via the display, the metadata, receiving a user selection of an artifact of the plurality of artifacts for inclusion with the application container, storing the application container in association with the selected artifact in an application repository, receiving a schema request related to the application container, obtaining a schema format selection, based on the request, generating a schema based on the schema format selection, the application container, and the artifact associated with the application container, and providing the schema in the selected schema format.

An apparatus and method for generating an interactive graphical user interface are disclosed. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive first input data and second input data, identify at least a target datum from the first input data, determine at least an operating parameter from the second input data as a function of the at least a target datum, generate a plurality of tasks as a function of the at least an operating parameter, generate an interactive graphical user interface, wherein generating the interactive graphical user interface includes receiving concurrent user actions for the plurality of task nodes from a plurality of user devices and updating the interactive graphical user interface as a function of the concurrent user actions using an adaptive mechanism.

A system and method for accuracy-enhanced processing of query data within a multi-digital agent architecture may include receiving unrefined query data including textual data; retrieving historical user dialogue data from a computer database associated with the unrefined query data; transforming the unrefined query data to refined query data based on the retrieved historical user dialogue data; generating at least one digital agent classification inference using the refined query data; routing the refined query data to a digital agent based on the at least one digital agent classification inference; generating, by the digital agent, a digital response to the unrefined query data; and returning the digital response to an interactive graphical user interface.

Implementations relate to effectively localizing system responses, that include dynamic information, to target language(s), such that the system responses are grammatical and / or natural in the target language(s). Some of those implementations relate to various techniques for resource efficient generation of templates for a target language. Some versions of those implementations relate to resource efficient generation of target language natural language generation (NLG) templates and, more particularly, to techniques that enable a human user to generate a target language NLG template more efficiently and / or with greater accuracy. The more efficient target language NLG template generation enables less utilization of various client device resources and / or can mitigate the risk of flawed NLG templates being provided for live use in one or more systems.

A system may comprise a data interpolation platform that comprises a data collector, a pre-processor, an artificial intelligence (AI) engine, an interactive graphical user interface (GUI) engine, a data monitor and one or more servers. The data collector may be configured to collect, from among one or more data sources, data and information (“collected data”). The AI engine may be configured to generate, train, validate, test and / or deploy one or more AI models. The interactive GUI engine may be configured to generate and dynamically update an interactive GUI. The one or more servers may comprise one or more processors, a memory and computer-readable instructions that, when executed by the one or more processors, cause the data interpolation platform to determine, display and dynamically update predictive and interpolated pricing data.

A system may comprise a data interpolation platform that comprises a data collector, a pre-processor, an artificial intelligence (AI) engine, an interactive graphical user interface (GUI) engine, a data monitor and one or more servers. The data collector may be configured to collect, from among one or more data sources, data and information (“collected data”). The AI engine may be configured to generate, train, validate, test and / or deploy one or more AI models. The interactive GUI engine may be configured to generate and dynamically update an interactive GUI. The one or more servers may comprise one or more processors, a memory and computer-readable instructions that, when executed by the one or more processors, cause the data interpolation platform to determine, display and dynamically update predictive and interpolated pricing data.

A computer system and method for presenting interactive graphical user interface (GUI) widgets are provided. Profile information associated with a user of the computer system is determined and a page is presented in a GUI. Based on the profile information associated with the user, a first template is determined that indicates a first arrangement of interactive GUI widgets to be presented in the page, whereby the first arrangement is different from that of a second template of a plurality of templates, each indicating an arrangement of a plurality of interactive GUI widgets. Based on the first template, the interactive GUI widgets are presented in the page arranged according to the first arrangement.

Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and / or competitor entity portfolios. The landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include a slider filter control that may be configured to receive user input representing a lower bound and / or an upper bound associated with an actual date (e.g., a year, a month, a day, etc.) associated with the IP assets included in the clusters of a selected result set.

Various embodiments of the present disclosure provide a contextualized task-specific graphical visualization related to one or more third-party data sources. The techniques may include generating a defined data object by transforming a plurality of third-party data elements from one or more third-party data sources to a defined first-party format, generating a structured data object from the defined data object based on a data structure format comprising a set of format features defined by a machine learning formatting prompt, generating a task-specific data object from the structured data object and corresponding to a defined domain task by filtering a plurality of task-agnostic features of the structured data object using a task-specific prompt that defines a set of task-related features, and initiating a rendering of a contextualized task-specific graphical visualization that is based on the task-specific data object and comprises a set of interactive graphical elements for the defined domain task.

A computer-implemented method includes: receiving user identifying data; launching a virtual environment including an interactive graphical user interface configured to receive user selection inputs; in the virtual environment: receiving a first user selection input selecting an avatar corresponding to a payment device reward; associating the avatar and the payment device reward with the user; displaying payment device design components; receiving a second user selection input selecting a payment device design component; and associating the payment device design component with the user; and redirecting the user to an issuer system by communicating a payment device issuance request to generate and issue a payment device to the user, where the payment device issuance request contains at least one of the following: the user data, the first user selection input, the second user selection input, and / or any combination thereof.

There is provided, an interactive graphical user interface (GUI), comprising: presenting within the GUI, a first overlay of a target virtual vector overlaid on an image(s) of an oral cavity of a subject captured by an image sensor during a dental session of the subject, wherein the target virtual vector denotes a target vector defining a target location and / or a target angle for drilling by a real-world bur of a real-world drill for insertion of a dental implant, monitoring a real-world location and / or angle of the real-world bur of the drill during manipulations by a user, and dynamically updating, within the GUI, a second overlay of a current virtual vector overlaid on the image(s) including the first overlay, the current virtual vector including a virtual location and / or virtual angle corresponding to a current value of the monitored real-world location and / or angle of the real-world bur of the drill.

A network computer system provides interactive graphic design system instructions for performing fragment-based design search. The network computer system receives a search query specifying a representation of one or more design elements. The network computer system matches one or more embeddings associated with the representation to a set of embeddings for a set of design fragments, wherein each of the one or more design fragments corresponds to a subset of one or more hierarchical structures representing one or more design interfaces. The network computer system generates a set of search results using the set of embeddings and outputs the set of search results in a response to the search query.

A cabin management control device is disclosed. In embodiments, the cabin management control device includes a touchscreen (e.g., either a fixed panel or a mobile computing device) and processors. The computing device is in communication with aircraft-based networks or controllers configured for control of cabin features or functions. The computing device displays, via the touchscreen, an interactive graphical user interface (GUI) in the form of a high resolution “virtual cabin”, e.g., a graphical representation of the aircraft cabin or a zone thereof. The GUI incorporates active touch areas (ATA) corresponding to visible cabin features (e.g., lighting, windows, inflight entertainment systems (IFE)). Similarly, the GUI displays direct access controls (DAC) allowing for similar control of non-visible cabin features (e.g., volume settings, climate settings), When an ATA or DAC is selected, the GUI displays a textless control interface enabling the user to control the corresponding feature via an optimally intuitive interface.

Systems and methods for betting on a live sporting event are disclosed. At least one input capture device and at least one user device are in network communication with a server platform. The at least one input capture device collects and transmits live raw data relating to the live sporting event. The server platform receives and aggregates the live raw data relating to the live sporting event from the at least one input capture device. The server platform accesses personal and / or emotional factors for each player in the live sporting event. The at least one user device places at least one bet on at least one aspect of the live sporting event to the server platform via an interactive graphic user interface (GUI) at least based on the live raw data. The server platform determines at least one betting outcome relating to the live sporting event.

The invention relates to the technical field of industrial data processing, in particular to a PDF drawing vector review method and system based on the creative technology, and the method comprises the steps: receiving a PDF drawing data stream through a creative security communication channel, and converting the PDF drawing data stream into a standardized graphic primitive containing a two-dimensional coordinate and engineering metadata through a sandbox security parser; and on the basis, a spatial semantic data structure integrating quadtree spatial indexes and semantic grouping information is constructed. According to the method, a dynamic performance benchmark test data model is also constructed; and during rendering, predicting and selecting an optimal rendering scheme capable of meeting preset target performance based on the model, efficiently generating an interactive graphic review interface by utilizing the data structure, and finally receiving and storing a user review instruction associated with the graphic object. By constructing the adaptive rendering model and fusing a data structure of space and semantic information, high-performance and safe vectorization interactive review of the PDF drawing in a credential environment is realized.

A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and / or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

An apparatus comprises at least one processing device comprising a processor coupled to a memory. The at least one processing device is configured to select physiologic data to be visualized, the selected physiologic data comprising a given set of one or more physiologic parameters collected from a given set of one or more subjects over a given period of time. The at least one processing device is also configured to determine a plot type for visualization of the selected physiologic data, the plot type being determined based at least in part on a repetitiveness of the selected physiologic data over a plurality of time segments in the given period of time. The at least one processing device is further configured to generate a visualization of the selected physiologic data utilizing the determined plot type, and to output the generated visualization of the selected physiologic data via an interactive graphical user interface.

Methods and system are disclosed to implement an interactive companion table alongside graphical data visualizations within a computing environment, aimed at enriching data analysis and interpretation. The underlying numerical data of the graphs are displayed through a specialized table and responses to user interactions between the graphs and the table are highly synchronized with the establishment of the bidirectional links between each graph and its corresponding cells in the table. The method encompasses several key procedures: initializing a table object, accessing graphs in the active data visualization, incorporating cell blocks to represent data elements of graphs, adding bidirectional links, refreshing the table display, and handling user interactions. The methods and system enhance the data analysis experience by closely integrating visual and numerical information and is especially useful in areas that demand an in-depth examination of data alongside a broad visualization, including financial analysis, scientific research, and business intelligence.

A system may comprise a data interpolation platform that comprises a data collector, a pre-processor, an artificial intelligence (AI) engine, an interactive graphical user interface (GUI) engine, a data monitor and one or more servers. The data collector may be configured to collect, from among one or more data sources, data and information (“collected data”). The AI engine may be configured to generate, train, validate, test and / or deploy one or more AI models. The interactive GUI engine may be configured to generate and dynamically update an interactive GUI. The one or more servers may comprise one or more processors, a memory and computer-readable instructions that, when executed by the one or more processors, cause the data interpolation platform to determine, display and dynamically update predictive and interpolated pricing data.

Systems and methods for dynamic data processing and graphical user interface generation are provided. A system may include a network interface configured to request and receive, via a computer network from one or more sources in remote locations, electronic record data associated with an individual; an input filter configured to identify structured and unstructured information in the electronic record data; a data selector configured to analyze the structured and unstructured information; a timeline generator configured to generate, based on the analysis, interface information for displaying an interactive graphical user interface configured to present an event timeline of events in the electronic record data; and a display configured to provide the interactive graphical user interface based on the generated interface information.

A computing device displays a graphical user interface (GUI) comprising a navigator interface component. The navigator interface component comprises an interactive graphical representation of an asset. The device, responsive to detecting a predefined event, generates an alert. The device updates the navigator interface component to indicate the alert in association with the asset in the interactive graphical representation. The device receives a selection of the asset via the interactive graphical representation. The device displays, in the GUI, a second interactive graphical representation specific to the asset. The second interactive graphical representation of the asset comprises a task control element for controlling tasks specific to management of the asset. The device receives, using the task control element: a task for resolving the alert; and an association with the task and the asset. The device updates the navigator interface component to indicate the association with the task and the asset.

An interactive graphic design system implements a single unified application programming interface to remotely add and update variables associated with a graphic design file. The interactive graphic design system receives an API request from a programmatic process executed on a remote device, the API request including one or more lists of key / value pairs. The interactive graphic design system accesses the graphic design file and edits the variables in the graphic design file based on the one or more lists of key / value pairs included in the API request. Upon determining that a new variable specified in the API request does not exist in the graphic design file, the interactive graphic design system adds the new variable with a new identifier to the graphic design file and provides the new identifier to the remote device in a response to the API request.

The invention provides a project visualization full-process management method and system combined with a knowledge graph, and the method comprises the steps: firstly gathering multi-source project information units which cover project tasks, resources, progress and participant information in a project implementation process, and then carrying out the correlation analysis of the multi-source project information units; the method comprises the following steps: generating association relationship data including relationships such as inter-task preposition dependency, resource and task allocation and use, progress and task completion states, participants and task responsible execution and the like, establishing a project association map according to the association relationships, and describing association paths and interaction modes of all elements of a project; the project association graph is displayed on a visual management interface including graph display, information details, relation analysis and an operation control area in an interactive graph form, a user management instruction is responded, the project association graph and a corresponding multi-source project information unit are adjusted, updated and refreshed and displayed in real time, and the project management efficiency and quality are improved.