In implementations of systems for generating stroked paths, a computing device implements a stroked path system to receive input data describing a vector object having a filled path. The stroked path system generates a medial axis for the filled path by performing a medial axis transform on a boundary of the filled path. A stroke width is estimated based on distances between the medial axis and the boundary of the filled path that are normal to the medial axis. The stroked path system generates a stroked path for display in a user interface that is visually similar to the filled path based on the medial axis and the stroke width.

A method for motion tracking and text recognition, the method including a step of generating ultrasound waves with a transmitter; a step of receiving the ultrasound waves at a receiver, the receiver including sensors that record the ultrasound waves; a step of estimating with a processor, angle-of-arrival information for the ultrasound waves; a step of associating the angle-of-arrival information with a gesture; a step of extracting features from the gesture; and a step of classifying the gesture as a specific text character based on the extracted features by comparing the extracted features with known text characters stored in one or more templates.

A data processing system for performing a semantic analysis of digital ink stroke data implements obtaining the digital ink stroke data representing handwritten text, drawings, or both; analyzing the digital ink stroke data to extract path signature feature information from the digital ink stroke data; analyzing the path signature feature information using a convolutional neural network (CNN) trained to perform a pixel-level sematic analysis of the digital ink stroke data and to output a pixel segmentation map with semantic prediction information for each pixel of digital ink stroke data; analyzing the pixel segmentation map to generate stroke-level semantic information using a pixel-to-stroke conversion model; and processing the digital ink stroke data based on the stroke-level semantic information.

Systems and methods for performing spatial line grouping on digital ink stokes. The system includes an electronic processor configured to access a set of hypothetical lines in an electronic document and determine a set of hypothetical line pairings. The electronic processor is also configured to determine, via a gradient boosting tree model, a merge confidence score for each hypothetical line pairing and compare a first merge confidence score with a merge threshold. The first merge confidence score is associated with a first hypothetical line and a first neighboring hypothetical line. The electronic processor is also configured to, in response to the first merge confidence score satisfying the merge threshold, merge the first hypothetical line and the first neighboring hypothetical line to form a first line grouping. The electronic processor is also configured to perform a digital ink stroke analysis on the electronic document based on the first line grouping.

The present disclosure relates to methods of analyzing works of art for purposes of authentication or attribution. Such methods may be implemented by receiving digital image data associated with a work of art, identifying a plurality of artist's strokes formed along a surface of the work of art, segmenting the plurality of strokes into a plurality of individual strokes, analyzing the plurality of individual strokes to determine stroke characteristics, and comparing the stroke characteristics to stroke characteristics derived from one or more computational models based on known works of art.

Systems and methods for performing spatial line grouping on digital ink stokes. The system includes an electronic processor configured to access a set of hypothetical lines in an electronic document and determine a set of hypothetical line pairings. The electronic processor is also configured to determine, via a gradient boosting tree model, a merge confidence score for each hypothetical line pairing and compare a first merge confidence score with a merge threshold. The first merge confidence score is associated with a first hypothetical line and a first neighboring hypothetical line. The electronic processor is also configured to, in response to the first merge confidence score satisfying the merge threshold, merge the first hypothetical line and the first neighboring hypothetical line to form a first line grouping. The electronic processor is also configured to perform a digital ink stroke analysis on the electronic document based on the first line grouping.

A method includes receiving sensor data from one or more sensors that corresponds to a location of a stylus device and determining that a tip of the stylus device is in contact with a physical surface based on the sensor data. While in contact, the method includes determining a new location of the tip of the stylus device based on the location data, mitigating a tracking error of the determined new location of the tip of the stylus device by translating the new location from a 3D space domain to a 2D space domain that corresponds to the physical surface and adjusting the new location based on a comparison of the new location and historical locations. The stylus device can further ascertain surface characteristics through sensor data and simulate surface characteristics via haptic feedback effects.

The invention concerns a method comprising: detecting strokes of digital ink input on a computing device in a free handwriting format; detecting a text block from said strokes; performing text recognition on each text line of said text block, including extracting text lines from the text block and generating model data that associate each stroke of the text block with a character, a word and a text line of the text block; normalizing each text line from the free handwriting format into a structured format to comply with a document pattern. The normalization may comprise for each text line: computing a transform function to transform said text line into the structured format; applying the transform function to the text line; and updating the model data of said text line based on the transform function.

A handwriting processing method, a touch display device, a computer device, and a storage medium are provided. The handwriting processing method includes: determining, according to a sample point in a writing track that is input by a user by means of a touch display, a group of track points and a related parameter of each track point, the related parameter including a coordinate parameter and a time parameter; determining, according to the related parameter of each track point, a start position, an end position, and a type of a stroke contained in the writing track, where the type of the stroke includes one of a horizontal stroke, a vertical stroke, a left-falling stroke, a right-falling stroke or a lifting stroke; and determining, according to the type of the stroke, a shape of the start position of the stroke.

A display apparatus includes circuitry to receive a handwriting input within a frame of a line displayed on a display. The handwriting input is corresponding to a part of a character string including one or more characters. The circuitry obtains, based on the handwriting input, a character size. The circuitry expands the frame in a direction of the handwriting input, based on the character size and space currently being left between the handwriting input and a side of the frame in the direction of the handwriting input to receive another handwriting input.