Apple Inc. (Cupertino, CA)
What is a Patent for Handwriting recognition with temporal and spatial sequence-to-sequence modeling
Search Patent for Handwriting recognition with temporal and spatial sequence-to-sequence modeling
Handwritten input can be a method for users to enter text onto electronic devices. For instance, a person may move a finger (or another apparatus) on the display of a device to produce handwritten input. The handwriting recognition model can transform the input into one or several characters. Modern techniques and models that identify handwriting are desirable because accuracy and efficacy in recognition of handwriting can depend on the model used.
An example of recognizing handwritten input includes at an electronic device equipped with at least one processor and memory: gathering the input data for handwriting input, where the handwritten input is associated with a first dimensionrelative to handwritten input as well as an additional dimension that is related to handwritten input sampling the input data to obtain a plurality of coordinates that represent the handwritten input, and then using the multitude of coordinates an order of vectors that represents a respective plurality of portions of handwritten input in which each of the respective plurality of portions is assigned an appropriate height that corresponds to the first dimension, and an appropriate width that corresponds to the second dimension, the height of the respective portion being greater than the respective width; and the successive vectors of the sequence of vectors represent the respective portions that are consecutive of handwritten input generating the handwriting recognition model built on the sequence of vectors, one or more characters for the handwritten input; and causing the one or more characters to be displayed.
Determining the sequence of vectors representing a respective plurality of portions of the handwritten input and generating the handwriting recognition model, basing the model on the sequence of vectors, one or more characters to be used for handwriting input could allow for more accurate and reliable recognition of handwritten input. Particularly, as described in this paper using the sequence of vectors as inputs to a handwriting recognition model may allow the model to accurately effectively, quickly, and reliably recognize handwritten input, e.g., especially handwritten input that is delayed. In this manner the user interface can be improved (e.g., by quickly and accurately recognizing handwritten input, by reducing repeated handwritteninputs due to incorrect recognition, by providing a natural method for users to input text on electronic devices), which additionally decreases the power consumption and increases the battery life of the device because it allows users to use the device faster and more efficiently.
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