657 results about "Input method" patented technology

A behavioral authorship verification system captures and analyzes multi-modal behavioral patterns during content creation to authenticate human authorship. The system comprises a processor executing behavioral analysis modules that generate comprehensive behavioral fingerprints distinguishing genuine human authors from AI-generated content and impostor authorship. A sentence progression mapping module detects sentence boundaries and captures intermediate composition states including additions, deletions, and modifications. A multi-modal input analysis module monitors keystroke dynamics including flight time and dwell time while detecting paste events and input method transitions. A behavioral pattern recognition engine generates user-specific baselines from historical sessions and computes deviation scores using statistical distance metrics. An anomaly correlation module aggregates behavioral deviation signals using weighted fusion algorithms to detect sophisticated mimicry attempts. An authorship scoring engine synthesizes outputs into unified confidence scores while maintaining temporal authorship chains. The system enables real-time authorship verification during content creation rather than post-hoc analysis.

The present disclosure relates to user interfaces for receiving user input. In some examples, a device determines which user input technique a user has accessed most recently, and displays the corresponding user interface. In some examples, a device scrolls through a set of information on the display. When a threshold criteria is satisfied, the device displays an index object fully or partially overlaying the set of information. In some examples, a device displays an emoji graphical object, which is visually manipulated based on user input. The emoji graphical object is transmitted to a recipient. In some examples, a device displays paging affordances that enlarge and allow a user to select a particular page of a user interface. In some examples, the device displays user interfaces for various input methods, including multiple emoji graphical objects. In some examples, a keyboard is displays for receiving user input.

The invention discloses a consultation method and system based on natural language processing and a legal knowledge graph, and relates to the field of data processing, and the method comprises the steps: receiving a multi-format legal consultation demand of a user, converting the multi-format legal consultation demand into a text, inputting the text into a BERT law NLP model, and analyzing key information through word segmentation, intention recognition and entity extraction; based on a pre-constructed multi-level legal knowledge graph, carrying out accurate and fuzzy retrieval and domain filtering in combination with an analysis result, and obtaining an associated law article, a case and a legal relationship; screening conflict law articles and similar cases, and inputting the conflict law articles and the similar cases into a graph neural network reasoning model to generate a preliminary conclusion; the conclusion is converted into a spoken consultation report through a natural language generation module, and output is customized according to a user scene; and if the user feedback satisfaction degree is less than the threshold value, iteratively optimizing the storage data to the historical library. The method has the advantages that accurate retrieval is realized based on the BERT model and the multi-level knowledge graph in the legal field, the oral personalized conclusion combined with the user scene is generated through GNN reasoning, and iterative optimization is performed through user feedback.

The invention relates to the technical field of television image communication, in particular to a user information input method and system in an intelligent television all-in-one machine. The method comprises the following steps: collecting a user image, carrying out white balance correction and focusing processing, generating a moving object focusing image, carrying out identification and attention tendency analysis on a character in the focusing image, obtaining character tendency data, analyzing a historical interaction image, identifying an interaction mode and constructing a user intention prediction model, and obtaining a user intention prediction result. And when the tendency data shows that the user preferences the television content, intention drilling and auxiliary adjustment are performed on the current image based on the prediction model, predicted user input information is generated, logic conflicts in the predicted information are detected, feedback optimization is performed, and final user input information is output. According to the invention, a more accurate and more flexible user information input method is realized.

The invention discloses an intelligent form filling method based on voice interaction. A form filling system is composed of an intention recognition module, an entity recognition module, a data mapping module, an intelligent error correction module and a dialogue management module. According to the system, the traditional manual form filling operation is replaced by a voice input mode, the complexity and time cost of user input are greatly reduced, and the recognition precision of terminologies is remarkably improved by utilizing a voice recognition and natural language processing model optimized for the financial field, so that the user experience is improved. Specific fields of the form can be accurately recognized according to intention recognition and data mapping functions customized for a specific scene of financial reimbursement, the system is designed based on a multi-round dialogue management module, a user is actively guided to complete complex form filling step by step, the learning cost and the operation difficulty are remarkably reduced, and the user experience is improved. Full-process automation of voice recognition, data mapping and intelligent verification is realized, and manual intervention is reduced.

The invention relates to the technical field of brain-computer interfaces, and discloses a human-computer interaction virtual keyboard input method, device and equipment based on electroencephalogram signals. The method comprises the following steps: acquiring an original electroencephalogram time sequence and a corresponding spectrum feature, and performing wavelet packet decomposition on the original electroencephalogram time sequence to obtain a multi-scale electroencephalogram signal component; obtaining the complexity characteristic of the wavelet coefficient; determining a key wavelet coefficient most related to the user input intention in the plurality of wavelet coefficients; electroencephalogram baseline features, cognitive states and complexity features of a user are obtained, and the electroencephalogram baseline features, the cognitive states and the complexity features are used for obtaining the personalized optimal intention regulation and control frequency of the user; according to the key wavelet coefficient and the optimal intention regulation frequency, reconstructing and generating an electroencephalogram intention feature sequence; performing empirical mode decomposition on the electroencephalogram intention feature sequence to obtain a slow change component reflecting intention steady-state characteristics and a fast change component reflecting intention dynamic change; and obtaining an intention category corresponding to the user to generate a mapping relationship between the intention category and the keys of the virtual keyboard, and generating a control instruction of the virtual keyboard.

The invention provides a paper file information input method, system and device and a medium, and belongs to the technical field of file information processing. The method comprises the steps of collecting a paper file image, performing preprocessing in sequence to obtain a preprocessed image, and performing region segmentation on the preprocessed image by using a target detection algorithm to generate a region coordinate mapping table; generating a file template by using a predefined file template library according to the region coordinate mapping table; performing printing form recognition and handwritten form recognition on characters in the image by using a sequence generation model to generate a text sequence, and recognizing a table structure by using a two-dimensional convolutional network; according to the text sequence and the table structure data, a named entity recognition model is used for labeling field types, data formats are checked and corrected according to template rules, errors are corrected in combination with context semantic similarity, and structured data are generated; and mapping the structured data to an information system database table according to a template field mapping rule, and inputting the structured data into an information system.

The invention provides an input method based on a virtual keyboard. The input method comprises the steps that first input operation acting on an operation area is detected; the first input operation is mapped into operation of corresponding keys in a key position display area, second input operation for the virtual keyboard is obtained, and the positions of the operation area and the key position display area are different; based on the second input operation, obtaining an input event; responding to the input event, and displaying input information corresponding to the input event in the input box. According to the input method, the operation area and the key position display area of the virtual keyboard are independently arranged, when the input method is applied to the wide-screen equipment, the operation area can be located in the area, easier to touch by hands, in the touch display screen, so that a user performs input operation in the operation area easier to touch by the hands, and the user experience is improved. Operation input is mapped to the virtual keyboard to achieve input, the key position display area is displayed in a centralized mode, the sight of a user can be concentrated in the key position display area, the sight moving distance of the user is reduced, and user experience is improved.

The invention discloses a document information input method and device and a storage medium, and relates to the technical field of electronic digital data processing.The document information input method comprises the steps that a document type is determined according to characters obtained by recognizing a to-be-processed document; calling a large language model to extract an entity in the character, and associating an entity relationship, a service intention, a context and a context relationship corresponding to the entity as reference information of the entity; constructing an extraction problem based on a field in a business data structure file corresponding to the document type; and in combination with the reference information, extracting a target field from the entity through the extraction question. According to the method and the device, the technical effect of efficiently and accurately converting the fragmented characters into the structural data available to the business system can be realized.

The invention discloses an information input method and device based on a large model, a storage medium and computer device.The method comprises the steps that a picture input page for a target function is displayed, and the target function is a function applied by providing specific type information; the specific type information comprises picture information of at least one demand picture type and text information of at least one demand text type; obtaining at least one picture input based on the picture input page, and performing picture type identification and text information analysis on the picture through the large model; based on the picture, the target picture type recognized by the large model and the analyzed target text information, an application information page of the target function is filled, and the application information page is a page which contains specific type information and can be modified; and displaying the application information page, and submitting input information of the target function based on the confirmed application information page under the condition that the application information page is confirmed.

The invention provides a data collaborative input method and device and electronic equipment, relates to the technical field of human-computer interaction, and is applied to XR equipment. The method comprises the following steps: determining a current use scene; determining a data transmission mode matched with the current use scene according to the current use scene; wherein the data transmission mode comprises a data transmission mode and a data encryption mode; sending a data transmission request to a target device; wherein the data transmission request comprises the data transmission mode; and receiving target data transmitted by the target device according to the data transmission mode. According to the method provided by the invention, the data transmission mode matched with the current use scene is determined according to the current use scene, and the matched encryption level is combined, so that the data is efficiently and safely transmitted between the XR equipment and the target mobile equipment, and the user experience is improved.

The invention discloses a building engineering target cost-oriented multi-dimensional data classification input method and system, and the method comprises the steps: aligning BIM space coordinates, construction progress nodes and purchase order data to a space-time grid in response to a multi-source data input instruction, fusing a field instruction document into the space-time grid through text recognition and key information extraction, and carrying out the recognition of the field instruction document; generating a time-space-cost associated data set; analyzing the data set to eliminate regional term ambiguity and ambiguity term ambiguity; extracting an implicit cost item by using a graph neural network, and mapping the implicit cost item with a target cost model; the priority sequence of data entry is dynamically adjusted according to the sensitivity coefficient of the cost item and the progress deviation early warning level of the grid unit where the cost item is located; and performing real-time integrity verification and conflict detection on the high-priority data, inputting the high-priority data into a target cost database in a classified manner, and generating a cost deviation analysis report. According to the method, deep association and ordered entry of data of different structures are realized, and the data classification efficiency and the accuracy of target cost accounting are improved.

A method includes causing a display device to display a number of game objects in an object field. Each game object is displayed in a player selectable state over a selection period for the respective game object and displayed as transforming to an unselected reveal state upon completion of the selection period for the respective game object to reveal an unselected result value. The method further includes receiving a number of player selection inputs, each player selection input selecting a respective one of the game objects residing in the object field while in the player selectable state. In response to the receipt of the player selection input for a respective game object, the method includes both debiting a player account by a predefined value and causing the display device to display the selected game object transform to a selection area reveal state displaying a result value.

The embodiment of the invention discloses a cross-platform rich text editing method, which comprises the following steps: identifying an input device, predefining a typesetting rule and a rendering rule based on a programming language, packaging a programming code, and loading the programming code into a browser of a corresponding type of the input device; configuring an input method and shortcut key logic matched with the input equipment according to the programming code, and simulating an interaction effect based on the browser and the input equipment by utilizing a webpage canvas tool; obtaining character information input by a user through the input device, analyzing the character information through the typesetting rule, obtaining the typesetting rule of each piece of character information, and dynamically adjusting the line feed rule, the paragraph alignment mode and the line height of the character information according to the size limitation of the current editing area; user operation events are monitored in real time, and typesetting and rendering results are updated. According to the method and the device, cross-platform rich text typesetting and rendering functions are realized by pre-defining typesetting and rendering rules.

The invention provides a symbol input method based on knocking gesture recognition, and relates to the technical field of man-machine interaction, and the method comprises the steps: collecting an original knocking gesture signal through a sensor, and carrying out the preprocessing of the original knocking gesture signal, and obtaining a knocking gesture signal; gesture recognition is carried out based on the knocking gesture signal, a knocking gesture is determined, and the knocking gesture comprises a knocking finger combination of a knocking plane and a knocking posture of each knocking finger; and mapping the tapping gesture into a symbol by using a preset symbol mapping table, and displaying visual information corresponding to the symbol on a display device. According to the scheme, the method does not depend on visual feedback, symbol input efficiency and accuracy are improved, and meanwhile rich gesture experience is provided for a user.

The embodiment of the invention relates to a media resource input method and device, equipment and a storage medium. The method provided herein includes: presenting a plurality of media resources based on input information of a user, the plurality of media resources being determined based on the input information; based on selection of a first media resource in the multiple media resources, adding the first media resource in the media editing window; and on the basis of at least one preset operation for the first media resource, replacing the first media resource in the media editing window with a second media resource in the multiple media resources. In this way, according to the embodiment of the invention, different media resources can be efficiently switched for editing, so that the media editing efficiency is improved.

A keyboard input method and system, the method including obtaining inputted information of a current input keyboard, and determining a first type of the current input keyboard based on the inputted information, loading, based on the first type being inconsistent with a second type of a previous input keyboard used during a previously performed input operation, a system word vocabulary and a conversion algorithm model that correspond to the first type from a library, obtaining user entry information corresponding to the inputted information from a user lexicon that has been loaded, obtaining system entry information corresponding to the inputted information from the system word vocabulary, and determining a list of to-be-selected entries corresponding to the inputted information according to the user entry information, the system entry information, and the conversion algorithm model, and outputting the list of to-be-selected entries.

The embodiment of the invention discloses a keyboard input method for a three-dimensional space, head-mounted display equipment, a medium and a product. According to one specific embodiment, the method comprises the steps that in response to detection of typing operation acting on an associated entity keyboard, a candidate word list is determined according to at least one key position corresponding to the typing operation, an input cursor is displayed in a window corresponding to the typing operation, and the window is displayed in a three-dimensional space of the head-mounted display device; determining a spatial dimension of a window corresponding to the typing operation; in response to determining that the spatial dimension represents a two-dimensional window, generating candidate word column position information according to two-dimensional position information of the input cursor in the window; according to the candidate word column position information, a candidate word column is displayed in the window, and at least one candidate word in the candidate word list is displayed in the candidate word column. According to the embodiment, 3D space input can be supported, and the word selection box can be dynamically focused near the input box.

The invention relates to an input device with haptic feedback for detecting a manual input, comprising: an operating element which is mounted in an oscillating manner about a rest position in an oscillating direction, the operating element comprising an intrinsic mode with a first natural frequency; an actuator arranged on the actuating element for acting on the actuating element in a vibration direction in a vibration excitation manner, the actuator having an excitation mass which is mounted on the actuating element in a vibration manner and can be driven by an electrical excitation signal, and the actuator having an actuator intrinsic mode with a second natural frequency; a detection means for detecting at least one start of manual contact and / or actuation of the actuation element; and a control unit electrically connected to the detection means for generating an electrical excitation signal and applying the electrical excitation signal to the actuator during or after the detection of the touch and / or manipulation; the invention further discloses a related input method.

In an input method, an electronic device detects a pre-modification operation on M target words. The pre-modification operation includes entering first input information that corresponds to at least N words, where N is greater than M. The electronic device displays a first-page candidate term set in an interface in response to the pre-modification operation. The first-page candidate term set includes at least one original candidate term corresponding to the first input information and at least one sub-candidate term corresponding to some of the first input information. The original candidate term includes at least N words, and the sub-candidate term includes M words.

The invention provides a penetration test method and device and a vehicle, and relates to the technical field of data test.The method comprises the steps that in response to test operation, a test case set is obtained; wherein the test case set comprises a plurality of test cases, and the test cases comprise contents of collaborative attack operations corresponding to a plurality of interaction modes; testing the electronic equipment system according to the content of the collaborative attack operation corresponding to each test case to obtain an execution result corresponding to each test case; and generating a test report based on the execution result corresponding to each test case. Therefore, the electronic equipment can test the electronic equipment system according to the content of the cooperative attack operation corresponding to each test case, so as to simulate the behavior that an attacker cooperatively initiates an attack by using two or more input modes, thereby achieving the purpose of performing a penetration test on the behavior that the attacker cooperatively initiates the attack by using the two or more input modes.

The invention provides a video understanding method based on frame sequence abstraction and language model guidance, which is applied to the technical field of artificial intelligence and multi-modal information processing and comprises the following steps of: performing preprocessing and shot segmentation on image features in a video frame sequence to generate representative frame coding data; semantic analysis is carried out on the representative frame image features based on a sub-mirror segment semantic extraction rule, and semantic sequence data is generated in combination with the guiding effect of a structured text instruction on a large language model and model output characteristics; processing cross-split representative frame features based on a multi-frame splicing input mode, dynamically optimizing semantic understanding logic in combination with text instruction structure design and model output rules, and generating structured scene understanding data; processing the structured scene understanding data to generate application data including a video semantic abstract, a script creation semantic fragment, a video tag and a commodity selling point; and processing the application data based on a preset application scene rule to generate a video structured semantic annotation result.

The invention provides a contract input method and device and a storage medium. The method comprises the steps of determining a target contract file; executing optical character recognition on the target contract file in multiple dimensions to obtain multiple contract elements; contract semantic information is added to the multiple contract elements according to a large language model; checking the multiple contract elements carrying the contract semantic information according to contract specifications; and if the multiple contract elements carrying the contract semantic information are successfully verified, mapping the multiple contract elements into a database according to the contract semantic information. According to the embodiment of the invention, through the perception-cognition integrated architecture design, the full-automatic input of the element from the target contract file to the structured contract is realized, the semantic analysis of the contract is provided by the large language model, the dependence on a rule engine is effectively reduced, the adaptability is strong, the precision is high, the maintenance cost is low, and the contract input efficiency is effectively improved.

The embodiment of the invention discloses an input method interface display method and device, a storage medium and a terminal, and relates to the technical field of man-machine interaction. The method comprises the following steps: firstly, responding to an input method triggering operation, running a target input method corresponding to the input method triggering operation and displaying an input method interface of the target input method in a display interface; and then performing transparency processing on the input method interface in response to an interface hiding operation for the target input method. After the user triggers the operation of the target input method, if the user feels that the input method interface shields the display interface, the interface hiding operation can be carried out to carry out transparent processing on the input method interface, so that the user can check the content in the display interface through the input method interface subjected to the transparent processing; shielding of the display interface by the input method interface is effectively reduced, and the use efficiency of the input method is improved.

The embodiment of the invention provides an input method and device, intelligent wearable equipment and a storage medium, and belongs to the technical field of intelligent wearable equipment. The method is applied to the intelligent wearable device and comprises the steps that an input state triggering signal is responded to enter an information input state, and the intelligent wearable device has a first working mode and a second working mode in the information input state; the device state of the terminal device in communication connection with the intelligent wearable device is obtained, the target working mode of the intelligent wearable device is determined according to the device state, and the target working mode is any one of the first working mode and the second working mode. The problems that the mode of obtaining the user input information by the intelligent wearable device is not flexible enough and the actual demand of the user cannot be supported are solved, the flexibility of obtaining the information input by the intelligent wearable device is improved, convenience is provided for the user, and the user satisfaction degree is further improved.

The invention discloses a work order input method and device based on a large model, equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the data cleaning and preset standardization processing of an initial problem description, so as to determine a target problem description corresponding to the initial problem description; analyzing the target problem description by using the target large model to obtain an analysis result, and extracting key problem information in the target problem description based on the analysis result; matching the key problem information with a preset work order category system to determine a target work order type corresponding to the target problem description; filling the key problem information into a target work order template corresponding to the target work order type to obtain initial work order information corresponding to the target problem description; obtaining feedback information corresponding to the initial work order information, adjusting the initial work order information based on the feedback information to obtain target work order information, and inputting the target work order information into a work order system. The work order processing efficiency can be improved, and the manual operation cost can be reduced.

The invention provides a medical information input method and device, electronic equipment and a readable storage medium, and the method comprises the steps: extracting text content in an image, and inputting the text content and a classification task prompt text into a first large language model, so as to determine a medical category to which the text content belongs; aggregating the text contents belonging to the same medical category to obtain a medical text belonging to the medical category; determining a structured template corresponding to the medical category, and inputting the medical text belonging to the medical category and an extraction task prompt text matched with the structured template into a second large language model, enabling the second large language model to output structured medical extraction data containing medical field values according to format requirements of the structured template; and uploading the structured medical extraction data to an electronic system matched with the medical category to enable the electronic system to carry out medical information input. Through the method, the input efficiency and accuracy of the medical information are improved.

The invention relates to a human resource master data management input method based on a multi-mode large language model. The method comprises the steps that text conversion and data cleaning processing are conducted on an obtained PDF text through the optical character recognition (OCR) technology; performing category division on the acquired text data by using a four-color prototype method so as to create a knowledge domain model for subsequent analysis processing; performing information extraction processing according to information category definition logic, and constructing and deploying an open source large language model; performing compliance verification on the acquired data according to a preset requirement; analyzing the data meeting the requirements, and integrating the main data into a unified table to serve as a data warehouse for storage and analysis; performing data security management by adopting an authentication encryption technology; and the data service platform is used for human resource professionals to access and process and analyze the main data. By adopting the method provided by the invention, the optimal practice of data governance is carried out in combination with knowledge modeling, and efficient, accurate and safe management of the human resource main data is realized.

The invention relates to the technical field of input methods, in particular to a full-hybrid input method for Chinese and English input. During initial full-mixed input, after a letter is input into a first key of each word, a background algorithm passes through full spelling, binary spelling and pinyin and two-key shape code letter input channels; after the first key of each word inputs a note isolation, a background algorithm passes through a simple spelling input channel at a time; after the English comma is input into the first key of each word, a background algorithm passes through a full-shape code input channel at a time; after a decimal point is input into the first key of each word, a background algorithm passes through an English input channel once; for single input of various input methods, after needed characters and words are submitted, the input is automatically returned to the initial fully-mixed input; and in a full-spelling and binary-spelling five-sound display mode, inputting a note insulation, inputting a background algorithm through a pinyin and two-key shape code alphabet input channel at a time, inputting pinyin and two-key shape code alphabet at a time, and automatically returning to initial full-mixed input after required words are submitted.

The invention relates to a brain-computer interface interaction system and method for inputting Chinese characters based on handwriting imagination, and belongs to the technical field of brain-computer interfaces. The system comprises a user interaction module which is used for recording and storing information such as names, genders and ages of subjects and selecting and setting experimental paradigms of handwriting imagination tasks; according to the electroencephalogram data acquisition module, a subject is guided by a handwriting imagination experiment normal form to carry out a corresponding handwriting imagination task, and offline electroencephalogram signals are acquired for multiple times; the model training module is used for constructing an off-line classification model through the handwritten imaginary electroencephalogram signals collected for multiple times; the on-line identification module is used for classifying the signals through the model and carrying out on-line classification identification; and the Chinese character input method module is connected with a character API (Application Program Interface) in an open input method and generates Chinese characters according to the classified strokes or pinyin. The invention provides a novel brain-computer interaction mode based on noninvasive brain imaging for disabled people who lose a handwriting function.