Abstract: In one embodiment, a method includes receiving a user request from a first user from a client system associated with a first user, wherein the user request comprise a gesture-input from the first user and a speech-input from the first user, determining an intent corresponding to the user request based on the gesture-input by a personalized gesture-classification model associated with the first user, executing one or more tasks based on the determined intent and the speech-input, and sending instructions for presenting execution results of the one or more tasks to the client system responsive the user request.

Abstract: An auto-line-division system for handwriting manuscript for line-division of a handwriting manuscript from an electronic handwriting input panel is provided. Generally, in writing, various conditions will generate, such too large or too small words, isolation words, reversal strokes, etc. The system could process these problems in writing based on the setting of a standard line height and a standard line width. The edges and features in division of lines are detected and some values are calculated for correction of the line division so that efficiency of line division is promoted. Another, problems induced in the first line division is taken into consideration, and the problem of multiple lines due to mistake line division can be further correct to one single line. These problems could is corrected so as to promote the accuracy in line division.

Abstract: Various systems and methods are presented regarding automatically generating a document for a particular topic, and further utilizing an algorithm to automatically identify information in a resource that pertains to the topic. The document can be a purpose-specific document, created by a template configured to combine data fields to build the document. Each data field can be subject-matter specific with an associated algorithm. The algorithm can be trained to recognize and extract content that potentially meets the subject matter of the data field. The data field can be populated with the content. Subsequent editing of the content populating the data field can be monitored to determine an effectiveness of the algorithm to identify data of interest in the data repository. In the event of low success, the algorithm can be retrained. Further, the document can be regenerated if an algorithm is retrained, new information added to the repository, etc.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media relate to a method for providing multi-point video presentations with live annotations within a communication platform. First, the system receives video feeds depicting imagery of a number of users. The system then determines a boundary about each user in the video feeds, with the boundaries each having an interior portion and an exterior portion. The system provides a media background for the exterior portions, then generates a composite video for each of the feeds. The system then determines that one or more client devices have annotation permissions, and receives one or more annotation inputs corresponding to at least one of the composite videos. Finally, the system updates at least one of the composite videos to additionally depict the annotation inputs within a third layer.

Abstract: Embodiments described herein provide systems and methods for text generation using a natural language processing model. Natural language input is received and encoded by an encoder. A decoder generates a plurality of next-node probabilities for a set of candidate nodes that are next to at least one of K previously decoded paths of nodes on a directed search graph. Scores are computed for each of the candidate nodes and done in parallel among the K previously decoded paths. The highest scoring K nodes are selected for addition to the directed search graph. The search continues until a search budget is exhausted. Generated sequences are output. These sequences may represent a plurality of sentences or questions, depending on the task.

Abstract: Scroll-based automatic field completion is disclosed. A page displayed by a web browser can be monitored for empty fields as the page is scrolled. Automatic fill or completion of the empty field can be triggered in response to a request to scroll down based on the location of the empty field on the page. Automatic completion can involve determining a type of data associated with the field and retrieving user data of the type from a data store. A machine learning model can also be invoked to predict a user's preference for multiple completion options. Further, automatic refill of a completed field with different information can be initiated in response to a scroll up and the location of the field on the page.

Abstract: An electronic device may include: a display for displaying content; a memory for storing data corresponding to the content; and a processor operatively connected to the display and the memory, wherein the processor may be configured to: display content on the display; in response to a user input related to copying, store at least a partial area of the content as first clip data; generate second clip data different from the first clip data on the basis of at least a part of a result of image or text analysis relating to the first clip data; and display, on the display, a first indicator relating to the first clip data and a second indicator relating to the second clip data. Other various embodiments identified through the specification are possible.

Abstract: An image database establishing method, a searching method, an electronic device and a storage medium. The method comprises: obtaining a target file which has target text information (S210); generating a target image corresponding to content expressed by the target text information based on the target text information (S220); and storing the target image to form an image database (S230). The above method solves the problem in the prior art that it is time-consuming and laborious to establish a database by manually filtering, analyzing and summarizing massive text files, and effectively improves the efficiency of establishing an image database.

Abstract: Three-dimensional (3D) model images for menu item are maintained in a content delivery network (CDN) along with codes. The codes are printed/affixed to menus adjacent to the menu items. The menus include an anchor object that is sized in proportion to plates that serve the menu items. A user operates an augmented reality (AR)-enabled application (app) and uses a gesture to identify a code associated with a menu item from a menu. The code is decoded to contact the CDN and obtain the 3D model image corresponding to the menu item. The user centers a view-finder over the anchor object on the menu and the 3D model image is rendered on the anchor object in a scaled size and a scaled proportion for what will be provided to the user. The user may spin the 3D model to inspect proportions and ingredients of the menu item through the app.

Abstract: A display device is provided. The display device comprise a substrate a display layer disposed on the substrate and including a plurality of light-emitting areas, and a touch layer disposed on the display layer and including a touch area and a non-touch area, the touch layer includes: a plurality of first sensor electrodes and a plurality of second sensor electrodes disposed in the touch area, and a plurality of antenna patterns disposed in a portion of the touch area disposed adjacent to the non-touch area, the plurality of antenna patterns includes: a first antenna pattern transmitting a transmit signal, and a second antenna pattern receiving the transmit signal, wherein each of the first antenna pattern and the second antenna pattern is at least partially surrounded by one of the plurality of first sensor electrodes or one of the plurality of second sensor electrodes in a plan view.

Abstract: A method of generating an image sample, which relates to a field of an artificial intelligence technology, in particular to fields of a deep learning technology and a computer vision technology. The method includes: generating a handwritten text image according to at least one handwritten sample image; and generating a target sample image with an annotation box according to the handwritten text image and a background image, where the annotation box is used to represent a region in which the handwritten text image is located in the background image. The present disclosure further provides a method of recognizing a text, an electronic device and a storage medium.

Abstract: Systems and methods for using machine learning to assess text legibility in an electronic document are disclosed. According to certain aspects, an electronic device may train a machine learning model using training data that includes at least a representation of a text legibility level in the training data. Additionally, the electronic device may input the electronic document into the machine learning model, which may analyze the electronic document and output a representation of the text legibility level of a set of textual content included in the electronic document. The electronic device may display the output for review and assessment by a user, who may use the electronic device to facilitate any modifications to the electronic document.

Abstract: In some examples, systems and methods for generating predicted ink strokes, using ink-based semantics, are provided. Ink stroke data may be received, the ink stroke data and a semantic context may be input into a model. From the model, one or more predicted ink strokes may be determined. Further, an indication of the one or more predicted ink strokes may be generated.

Abstract: Systems and methods for importing documents are described. An input image is received and preprocessed. OCR and/or page segmentation and chapter detection are performed. Special-case processing is performed for lists, tables, free text, and other categories. Anaphora analysis, stemming, lemmatization, and relationship detection are performed. A genealogical tree is generated, augmented, or merged based on the extracted entities and relationships.

Abstract: A method for data presentation includes assembling a set of documents in response to a search query by a user having a social network. A respective person is identified with each of a group of documents in the set. For at least one document in the group, a chain of one or more links is found in the social network between the respective person and the user. A search results page is displayed, including an identification of the at least one document together with a sequence of breadcrumbs corresponding to the one or more links in the chain.

Abstract: The driving circuit of the display includes a timing controller. The timing controller is coupled to a general purpose input/output (GPIO) pin of the touch driver. The timing controller receives an instruction signal via the GPIO pin of the touch driver. The timing controller starts a detection period according to a first edge switched from a first voltage level to a second voltage level of the instruction signal. The timing controller detects a number of pulse signals of the instruction signal, and determines a current operating status of the touch driver according to the number of pulse signals of the instruction signal during the detection period. The timing controller determines that the current operating status of the touch driver is one of touch operation type statuses according to the number of pulse signals of the instruction signal during the detection period being a default number.

Abstract: Provided is an input device which allows a user to select desired contents more quickly and intuitively in selection of contents. The input device includes: a navigation key manipulated to select one direction among a plurality of directions; a dial unit including a rotating dial wheel; and a control unit which controls movement on a user interface screen of a target device based on one or more direction inputs corresponding to the navigation key and a rotation operation input of the dial wheel, wherein the navigation key and the dial wheel are coupled with each other in a stacked structure.

Abstract: Systems and methods for populating answers to polling questions based on initial responses. A graphical user interface (GUI) is provided to a set of participants of a conference call. The GUI includes a first portion that presents a polling question to be answered by the set of participants. A detecting is made that a first participant of the set of participants has provided a verbal answer to the polling question. The GUI provided to a second participant of the set of participants is modified to present, in a second portion, a textual form of the verbal answer provided by the first participant and a GUI element that allows the second participant to provide a non-verbal answer to the polling question via selection of the GUI element associated with the verbal answer provided by the first participant.

Abstract: A computing device is disclosed which includes a processor and non-transient memory operably connected to the processor. The non-transient memory includes instructions that, when executed by the processor cause the processor to extract a plurality of sub-strings from a character string, analyze each sub-string for compliance with each of several field definitions, where each of the field definitions corresponds to a field in a digital form, and populate some of the fields in the digital form based on the analysis of each sub-string for compliance with the field definitions.

Abstract: Disclosed herein relates to example embodiments for recognizing handwritten information in a genealogical record. A computing server may receive a genealogical record. The genealogical record may take the form of an image of a physical form having a structured layout, fields, and handwritten information. The computing server may divide the genealogical record into a plurality of areas based on the structured layout. The computing server may identify, for a particular area, a type of field that is included within the particular area. The computing server may select a handwriting recognition model for identifying the handwritten information in the particular area. The handwriting recognition model may be selected based on the type of the field. The computing server may input an image of the particular area to the handwriting recognition model to generate text of the handwritten information. The computing server may store the text of the handwritten information.

Abstract: A method for controlling a virtual object and a related apparatus are provided. The method includes displaying a user interface (UI) having a virtual environment image and an interactive panel region. The virtual environment image is an image in which a virtual environment is observed. The method also includes receiving a preset operation in a target region in the UI, with the target region being a region associated with the virtual environment image but not with the interactive panel region; and controlling the virtual object according to the preset operation to perform a corresponding motion in the virtual environment.

Abstract: Methods and systems for adaptive, template-independent handwriting extraction from images using machine learning models and without manual localization or review. For example, the system may receive an input image, wherein the input image comprises native printed content and handwritten content. The system may process the input image with a model to generate an output image, wherein the output image comprises extracted handwritten content based on the native handwritten content. The system may process the output image to digitally recognize the extracted handwritten content. The system may generate a digital representation of the input image, wherein the digital representation comprises the native printed content and the digitally recognized extracted handwritten content.

Abstract: A computerized method and apparatus are disclosed for determining the accuracy of written characters input by a user and whether the characters were formed with the correct strokes and complied with applicable rules and providing visual and audio feedback to the user. A computing device comprises a character comparison engine, rules engine, stroke engine, art rendering engine music engine, and vocalization engine and has access to a character library, rules library, stroke library, art library, and audio library. The computing device shows the user the appropriate way to write a character, allows the user to then write the character, assesses the quality of the character, and provides audio and/or visual feedback to the user in response to the quality of the user's work to provide positive feedback. The visual feedback can include step-by-step instruction on how to paint using the traditional Chinese outline or no-outline painting techniques.

Abstract: Provided are a text processing method and apparatus, an electronic device and a non-transitory computer-readable medium. The method includes: collecting a to-be-processed text image, and performing gesture recognition on the to-be-processed text image to obtain a to-be-processed text, where the to-be-processed text is a text selected from the to-be-processed text image through a gesture; performing voice broadcasting on the to-be-processed text to prompt a user to perform dictation processing on the to-be-processed text; and collecting a dictation text image, performing recognition on the dictation text image, and determining a dictation check result according to a recognition result and the to-be-processed text.

Abstract: A method for recognizing at least one object in images by a camera and a processor is provided. The at least one object includes content information and operation direction information. The operation direction information includes inspection direction, re-inspection direction, and a combination thereof. The method includes a first re-inspection step, the first re-inspection step includes using the processor to inspect whether the re-inspection direction of one of the at least one object matches a paring relationship. If so, the processor processes the content information of the at least one object and another one object to generate computational result.

Abstract: Systems and techniques for a physical access control systems with localization-based intent detection are described herein. In an example, an access control system may regulate access to an asset. The access control system is adapted to establish a first connection with a key-device. The access control system may be further adapted to receive a credential for a user over the first connection. The access control system may be further adapted to establish a second connection with the key-device. The access control system may be further adapted to determine an intent of the user to access the asset. The access control system may use location data derived from the second connection to determine the intent of the user. The access control system may be further adapted to provide the credential to an access controller, based on identifying an intent of the user to access the asset.

Abstract: An information processing method includes determining a type of a selected character, among a plurality of characters included in a displayed mathematical expression, that is selection-operated by a user; identifying, based on the determined type of the selected character, an associated character, among the plurality of characters, that is associated with the character that is selection-operated; and setting, a range including the selected character and the associated character among the plurality of characters as a selection range of the character selected by the user.

Abstract: In one embodiment, a method includes receiving a user request from a first user from a client system associated with a first user, wherein the user request comprise a gesture-input from the first user and a speech-input from the first user, determining an intent corresponding to the user request based on the gesture-input by a personalized gesture-classification model associated with the first user, executing one or more tasks based on the determined intent and the speech-input, and sending instructions for presenting execution results of the one or more tasks to the client system responsive the user request.

Abstract: The present disclosure relates to an information processing method in a game, which is applied to a mobile terminal for displaying a human-computer interaction interface in a touch screen and includes: obtaining an input fingerprint of a touch medium by means of the touch screen, and calculating similarity between the input fingerprint and a target fingerprint, wherein a mapping relationship exists between target fingerprints and a optional virtual object (S110); in response to detecting that the similarity is greater than a threshold value, obtaining action information of the touch medium on the touch screen, and determining a target virtual object according to the action information (S120); and controlling the optional virtual object corresponding to the target fingerprint to attack the target virtual object (S130).

Abstract: A highly reliable waterproof electronic pen includes a board holder in a board housing including a recessed portion having an opening over a lower surface of the recessed portion. A circuit board is housed in the recessed portion of the board housing. Circuit components easily affected by heat are installed on a first surface of the circuit board, and circuit components not easily affected by heat are installed on a second surface of the circuit board. A thermosetting resin formed over the second surface of the circuit board when the circuit board is housed in the recessed portion seals the opening over the lower surface of the recessed portion of the board housing.

Abstract: Provided is a pen data storage apparatus that stores pen data including at least coordinate data regarding a position instructed and input by an electronic pen, in units of the pen data, in which each piece of the stored pen data includes function identification information that identifies a processing function for the pen data.

Abstract: Systems and methods are disclosed for detecting tremors in a subject. One method comprises receiving data from a digital device, the data comprising a plurality of digital device positions and a plurality of timestamps, each timestamp in the plurality of timestamps being associated with a digital device position in the plurality of digital device positions. The method further comprises determining a plurality of frequencies of hand movements of the subject based on the plurality of digital device positions and plurality of timestamps. The method further comprises determining a subportion of the data corresponding to frequencies of hand movements above a low tremor threshold, and determining a magnitude of tremors of the subject's hand based, at least in part, on the subportion of the data.

Abstract: Provided is an ink amount calculation method performed by a processor of a computer. The method includes acquiring coordinate information related to stroke data generated according to an operation of an electronic pen, and calculating, based on the coordinate information, an ink amount related to an amount of the operation of the electronic pen.

Abstract: An apparatus includes a memory and processor. The memory stores document categories, text generated from an image a physical document page, and a machine learning algorithm. The machine learning algorithm is configured to extract features associated with natural language processing and features associated with the text. The machine learning algorithm is also configured to generate a feature vector that includes the first and second pluralities of features, and to generate, based on the feature vector, a set of probabilities, each of which is associated with a document category and indicates a probability that the physical document from which the text was generated belongs to that document category. The processor applies the machine learning algorithm to the text, to generate the set of probabilities, identifies a largest probability, and assigns the image to the associated document category.

Abstract: Systems and methods for aligning a mobile device and a document are disclosed. An exemplary method comprises the steps of determining a model identifier from the mobile device; associating the model identifier with a device configuration from a source; receiving an image of the document taken by the camera of the mobile device; identifying a document type; associating the document type with a document configuration from the source; selecting an alignment feedback schema based on the device configuration and the document configuration; generating alignment feedback based on the image processing; detecting for a data connection between the mobile device and the document; and generating a connection indication when the data connection is detected.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving an image having characters that correspond to a language, and using a text recognition algorithm to determine a first language believed to correspond to the characters. A first confidence level associated with the first language is also computed, and a determination is made as to whether the first confidence level associated with the first language is outside a predetermined range. In response to determining that the first confidence level associated with the first language is not outside the predetermined range, the first language is output as the given language. The text recognition algorithm is trained using a simple shallow neural network and a generated mixed language corpus. The generated mixed language corpus is formed by: randomly sampling libraries having vocabulary and/or characters therein, and combining the randomly sampled vocabulary and/or characters to form the generated mixed language corpus.

Abstract: A computer implemented method for sending context information between programs, the method including: displaying a graphical user interface including a plurality of selectable application icons; receiving a simultaneous selection of a first icon and a second icon from the plurality of selectable application icons; launching a first program associated with the first icon; launching a second program associated with the second icon; and sending context information between the first program and the second program.

Abstract: The utility model discloses a non-adhesive detachable protective film, including the film body attached to the screen. The aforesaid film body has a soft resin layer fixed on the inner border; in which, the soft resin layer is set in strips along the edge of the border of the film body, forming a frame-sticking structure. Between the aforesaid soft resin layer and the film body, there is an adhesive layer for bonding and fixing; in which, the former one is pressed against the screen surface under pressure extrusion, forming a pressure-attached fixing structure with the screen surface. The utility model uses soft resin layer that allows the film body to be attach to the screen by extrusion, without using adhesive film. Besides, the film surface will not stick to dust when it is attached and removed in high frequency, and the fitting effect will not be reduced by repeated use.

Abstract: In one aspect, an example method includes a processor (1) applying a feature map network to an image to create a feature map comprising a grid of vectors characterizing at least one feature in the image and (2) applying a probability map network to the feature map to create a probability map assigning a probability to the at least one feature in the image, where the assigned probability corresponds to a likelihood that the at least one feature is an overlay. The method further includes the processor determining that the probability exceeds a threshold, and responsive to the processor determining that the probability exceeds the threshold, performing a processing action associated with the at least one feature.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for accurately and flexibly generating scalable fonts utilizing multi-implicit neural font representations. For instance, the disclosed systems combine deep learning with differentiable rasterization to generate a multi-implicit neural font representation of a glyph. For example, the disclosed systems utilize an implicit differentiable font neural network to determine a font style code for an input glyph as well as distance values for locations of the glyph to be rendered based on a glyph label and the font style code. Further, the disclosed systems rasterize the distance values utilizing a differentiable rasterization model and combines the rasterized distance values to generate a permutation-invariant version of the glyph corresponding glyph set.

Abstract: A method for data presentation includes assembling a set of documents in response to a search query by a user having a social network. A respective person is identified with each of a group of documents in the set. For at least one document in the group, a chain of one or more links is found in the social network between the respective person and the user. A search results page is displayed, including an identification of the at least one document together with a sequence of breadcrumbs corresponding to the one or more links in the chain.

Abstract: A highly reliable waterproof electronic pen includes a board holder in a board housing including a recessed portion having an opening over a lower surface of the recessed portion. A circuit board is housed in the recessed portion of the board housing. Circuit components easily affected by heat are installed on a first surface of the circuit board, and circuit components not easily affected by heat are installed on a second surface of the circuit board. A thermosetting resin formed over the second surface of the circuit board when the circuit board is housed in the recessed portion seals the opening over the lower surface of the recessed portion of the board housing.

Abstract: Disclosed is an electronic pen that includes a conductive core body, a power supply circuit, a first signal generation circuit which receives power from the power supply circuit and generates a first signal, and a second signal generation circuit which receives power from the power supply circuit and generates a second signal different from the first signal, and an operation switch which sets an operation mode of the electronic pen to either a first operation mode or a second operation mode. While the operation mode of the electronic pen is set to the first operation mode, the conductive core body transmits the first signal generated by the first signal generation circuit. While the operation mode of the electronic pen is set to the second operation mode, the conductive core body transmits the second signal generated by the second signal generation circuit.

Abstract: An electronic device includes an input configured to receive a signature from a user; a communication interface configured to communicate with a server; and a controller configured to classify the signature into at least one stroke, to transmit authentication information for the at least one stroke to the server, and to control the communication interface to receive a result of authentication of the signature from the server.

Abstract: A call translation system and a method for operating the management system in a controlled environment is disclosed. The call translation system includes a calling device and a call translation server. The calling device receives authorization from the call translation server to conduct call sessions within the controlled environment. The calling device further receives a call session application from the call translation server that enables the calling device to initiate and establish call sessions through the call translation server. The call session application allows a user of the calling device to select outside parties to add to the call session.

Abstract: Disclosed is an electronic device for processing a handwriting input and including a touch screen, a processor operatively connected with the touch screen, and a memory operatively connected with the processor, wherein the memory stores instructions, which when executed, cause the processor to control the electronic device to perform handwriting recognition for a first handwriting input of a user displayed on the touch screen, to convert the first handwriting input into a text, identify at least one of an attribute or characteristic of the first handwriting input, apply at least one of the identified attribute or characteristic to the converted text, and in response to a request for conversion of the first handwriting input, replace the first handwriting input into a text (herein after, a first rich text) to which the identified at least one of the attribute or characteristic has been applied.

Abstract: A computer-implemented method for designing a user-specific writing skill game is provided. The computer-implemented method comprises tracking a handwriting performance and generating a digital representation of the handwriting performance. The handwriting performance is performed by a user with a writing instrument. The method further comprises identifying user-specific handwriting skills which require improvement based on the digital representation of the handwriting performance. Then a writing skill game is designed. The writing skill game is designed to include one or more game tasks to be performed by the user. The one or more game tasks require the user to apply the user-specific handwriting skills which are to be improved.

Abstract: The present disclosure relates to a handwritten text recognition method, including: acquiring an information sequence including a plurality of track points of handwritten text, wherein information on each track point comprises its abscissa, writing time and writing state value; dividing the plurality of track points into a plurality of strokes according to the writing state value of each track point, the writing state value including a first value representative of stroke pen-up and a second value representative of stroke pen-down, respectively; calculating a first segmentation threshold of the handwritten text; determining a first text segmentation point according to a result of comparison between an absolute value of a difference between abscissas of a start track point of one stroke and an end track point of its previous stroke and the first segmentation threshold; and performing text segmentation according to the first text segmentation point to obtain a text segmentation result.

Abstract: The driving circuit of the display includes a timing controller. The timing controller is coupled to a general purpose input/output (GPIO) pin of the touch driver. The timing controller receives an instruction signal via the general purpose input/output pin of the touch driver. The timing controller starts a detection period according to a main falling edge of the instruction signal. The timing controller determines a current operating status of the touch driver according to a number of sub-falling edges of the instruction signal during the detection period.

Abstract: An apparatus includes a memory and processor. The memory stores document categories, text generated from an image a physical document page, and a machine learning algorithm. The text includes errors associated with noise in the image. The machine learning algorithm is configured to extract features associated with natural language processing and features associated with the errors from the text. The machine learning algorithm is also configured to generate a feature vector that includes the first and second pluralities of features, and to generate, based on the feature vector, a set of probabilities, each of which is associated with a document category and indicates a probability that the physical document from which the text was generated belongs to that document category. The processor applies the machine learning algorithm to the text, to generate the set of probabilities, identifies a largest probability, and assigns the image to the associated document category.