2. The touch frequency may be broken, so it is suggested to change it to around 60 yuan.
3. Find the input method options in the input method settings. Then click and select "Handwriting".
Extended data
Handwriting recognition refers to the process of converting the ordered trajectory information generated when writing on a handwriting device into the internal code of Chinese characters. In fact, it is a mapping process from the coordinate sequence of handwritten trajectory to the internal code of Chinese characters, which is one of the most natural and convenient means of human-computer interaction. With the popularity of mobile information tools such as smart phones and PDA, handwriting recognition technology has entered the era of large-scale application.
Handwriting recognition enables users to input words in the most natural and convenient way, which is easy to learn and use, and can replace keyboards or mice. There are many kinds of handwriting input devices, such as electromagnetic induction board, pressure sensitive board, touch screen, touch pad, ultrasonic pen and so on.
Handwriting recognition belongs to the category of character recognition and pattern recognition. From the recognition process, character recognition can be divided into two categories: off-line recognition and on-line recognition, and from the recognition object, it can be divided into two categories: handwritten recognition and printed recognition. We often say that handwriting recognition refers to online handwriting recognition.
Handwriting interface
Input space: Due to the limitation of the size of the touch screen, people need to repeatedly write down the characters that were originally connected from left to right in the designated area during handwriting input. Not in line with people's daily writing habits. How to make users get a better input experience in a limited space is a very important issue. In order to improve the user's handwriting comfort, some improvements can be made to the input space, such as processing the input trajectory and moving the input area.
Typical patent (CN2009 10055524): Identify corresponding characters according to input trajectory; In the process of handwriting input, the input trajectory displayed on the handwriting area is driven to move; The input trajectory gradually fades and disappears in the process of moving, and the written strokes automatically move to the left with the user's writing, which continuously provides the user with Lian Bi writing space in a limited writing area.
Handwritten display terminal
After font recognition, a word list will pop up, and the user can select the desired word from the list. The vocabulary is usually very small, which is inconvenient to operate and easy to make mistakes. After sliding out the words, it is necessary to operate the word list by touching, which undoubtedly increases the user's operation steps. The display arrangement of handwriting input interface is related to the input experience. This kind of technical scheme mainly considers the convenience of user's gesture selection, the position of display area and the correlation of display content.
Typical patent (CN 20110101129): Obtaining related characters according to the user's handwriting; Arranging the acquired characters on a display screen according to a preset arrangement rule, wherein the characters are distributed with a certain point as the origin, and the connecting line between the position of the characters and the origin does not intersect; Receiving a user's sliding action, and matching related characters under the arrangement rule according to the sliding action; Put the matched characters into the input box as input characters.
Handwriting processing
Because there is a great difference in the feel between input on the touch screen and input on paper, when the input method itself stores handwritten tracks, the fonts usually written on the touch screen cannot achieve the desired effect. In order to achieve a better display effect, it is necessary to process the user's input handwriting. At present, the existing methods of handwriting beautification are based on the fusion of recognition results and templates, model-based, handwriting-based transformation and stroke rendering.