WO2020103053A1

WO2020103053A1 - Handwriting processing method, handwriting input device and computer-readable storage medium

Info

Publication number: WO2020103053A1
Application number: PCT/CN2018/116786
Authority: WO
Inventors: 李友
Original assignee: 深圳市柔宇科技有限公司
Priority date: 2018-11-21
Filing date: 2018-11-21
Publication date: 2020-05-28
Also published as: CN112889017A

Abstract

Disclosed are a handwriting processing method, applied to a handwriting input device. The handwriting processing method comprises the following steps: sampling a data point of handwriting to obtain a current sampling point and acquiring attribute information of the current sampling point; determining whether the current sampling point is a first sampling point; if it is determined that the current sampling point is the first sampling point, handling the attribute information of the current sampling point; and if it is determined that the current sampling point is not the first sampling point, calculating a relative change amount between the attribute information of the current sampling point and attribute information of the previous sampling point to obtain relative attribute information. Further disclosed are a handwriting input device and a computer-readable storage medium. The present application can effectively compress handwriting data and reduce the load of data storage and data transmission.

Description

Handwriting handwriting processing method, handwriting input device and computer readable storage medium

Technical field

The present application relates to the technical field of data processing, and in particular, to a method for processing handwriting, a handwriting input device, and a computer-readable storage medium.

Background technique

At present, in order to realize the digital display of text content, the text content is usually handwritten on the handwriting input device by means of touch input. For example, when writing on the handwriting input device, the handwriting input device converts the real handwriting into electronic handwriting data And send the electronic handwriting to the display terminal (for example, mobile phone) for display.

However, when the content information of the handwriting input is relatively large or multiple handwriting input devices are connected to the display terminal, problems such as a large amount of stored data and a long time for data transmission may result.

Summary of the invention

The embodiments of the present application disclose a handwriting processing method, a handwriting input device, and a computer-readable storage medium, which can effectively compress handwriting data, reduce the burden of data storage and data transmission, and improve the user experience.

A method for processing handwriting disclosed in an embodiment of the present application is applied to a handwriting input device. The method for processing handwriting includes the following steps:

Sampling the data points of the handwriting to obtain the current sampling point, and obtaining the attribute information of the current sampling point;

Determine whether the current sampling point is the first sampling point;

When it is determined that the current sampling point is the first sampling point, the attribute information of the current sampling point is maintained;

When it is determined that the current sampling point is not the first sampling point, the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is calculated to obtain relative attribute information.

A handwriting input device disclosed in an embodiment of the present application includes a memory and a processor. The memory stores a corresponding program of a handwriting process method, and the processor runs the corresponding program of the handwriting process method to perform the following operations:

Determine whether the current sampling point is the first sampling point;

When it is determined that the current sampling point is the first sampling point, attribute information of the current sampling point is maintained;

A computer-readable storage medium disclosed in an embodiment of the present application, a program corresponding to a handwriting process method is stored on the computer-readable storage medium, and the program corresponding to the handwriting process method is executed by a processor to implement the above-mentioned handwriting Handwriting processing method.

The handwriting process method, handwriting input device and computer-readable storage medium of the present application, when it is determined that the current sampling point is not the first sampling point, calculates the relative change of the attribute information of the current sampling point and the attribute information of the previous sampling point , Because the data of the relative change is small, the occupied memory and transmitted data bits are less than the original attribute information, which can effectively compress handwriting data, reduce the burden of data storage and data transmission, and improve the user experience .

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without paying any creative work, other drawings can be obtained based on these drawings.

FIG. 1 is a flowchart of a method for processing handwriting in an embodiment of the present application.

2 is a schematic structural diagram of a writing system in an embodiment of the application.

FIG. 3 is a schematic diagram of handwriting according to the calculation principle of the angle offset in an embodiment of the present application.

4 is a flowchart of a method for processing handwriting in another embodiment of the present application.

FIG. 5 is a flowchart of a method for processing handwriting in yet another embodiment of the present application.

6 is a flowchart of a method for processing handwriting in another embodiment of the present application.

7 is a structural block diagram of a handwriting input device in an embodiment of the application.

detailed description

The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by a person of ordinary skill in the art without making creative work fall within the scope of protection of this application.

It should be noted that the terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include the majority forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more associated listed items.

Please refer to FIG. 1, which is a flowchart of a method for processing handwriting disclosed in an embodiment of the present application. The method for processing handwriting is applied to a handwriting input device. As shown in FIG. 1, the method for processing handwriting includes the following steps:

In step S11, the data points of the handwriting are sampled to obtain the current sampling point, and the attribute information of the current sampling point is obtained.

Please refer to FIG. 2 again. FIG. 2 is a block diagram of a writing control system 1000 according to an embodiment of the present application. The writing control system 1000 includes a handwriting input device 300 and an electronic device 500. The handwriting input device 300 is communicatively connected to the electronic device 500 via the network 600. The handwriting input device 300 includes a handwriting input device 100 and a stylus pen 200, and the handwriting input device 100 and the stylus pen 200 can also be communicatively connected through the network 600. It can be understood that the network 600 can be the Internet, On-Demand Virtual Lease Line, wireless network including WIFI, Bluetooth, and telephones including GPRS network and CDMA network. Networks, radio and television networks, etc.

In this embodiment, the handwriting input device 100 is a handwriting tablet, and generates handwriting handwriting data by sensing the writing operation of the stylus 200, and sends the handwriting handwriting data to the electronic device 500 through the network 600 for display. In this embodiment, the electronic device 500 includes a display screen, and is communicatively connected to a plurality of handwriting input devices 100, that is, handwriting data of the plurality of handwriting input devices 100 are simultaneously sent to the electronic device 100 and displayed at the same time. In other embodiments, the electronic device 500 may also be in communication connection with a handwriting input device 100. It should be noted that the number of handwriting input devices 100 communicatively connected to the electronic device 500 may be determined according to specific usage conditions, and is not limited herein. In addition, the handwriting input device 100 may also be disposed on the electronic device 500, that is, the handwriting input device 100 is an input device on the electronic device 500, and is controlled by the electronic device 500.

When a user uses the stylus 200 to perform a writing operation on the handwriting input device 100, the handwriting input device 100 senses the writing operation of the stylus 200 to generate handwriting data, by performing a data point on the handwriting Sampling to get multiple sampling points, and obtain the attribute information of each sampling point. It should be noted that the handwriting includes several data points. Sampling refers to sampling the data points in the handwriting. For example, the handwriting may include 5 data points, but only the first, third, and fifth data The points are sampled to obtain the current sampling points respectively. Therefore, in some embodiments, the data point may be the first data point in the handwritten note or any data point. When the first sampling point is not the first data point, it means that the sampling is started from the middle data point in the handwriting, not from the starting data point.

In this embodiment, the attribute information includes but is not limited to coordinate attribute information, pressure attribute information, time attribute information, color attribute information, width attribute information, transparency attribute information, and the like.

The coordinate attribute information represents the position of each sampling point on the display screen of the handwriting input device 100 or the electronic device 500. The position of the handwriting input device 100 and the position of the electronic device 500 have a one-to-one mapping relationship. Specifically, the coordinate attribute information includes X-axis and Y-axis data. Therefore, the position of each sampling point on the display screen can be determined according to the coordinate attribute information of each sampling point.

The pressure attribute information represents the pressure value of each sampling point, that is, the pressure value generated by the stylus 200 at each position on the handwriting input device 100 during handwriting input, wherein the pressure value affects handwriting Display effect.

The time attribute information represents the sampling time of each sampling point. The time can be obtained by the system clock of the handwriting input device 100. For example, when the time for sampling the handwriting for the first time is 10:01, the time is used as the time attribute information of the first sampling point. Therefore, the time attribute information of each sampling point is different, and the sampling order of multiple sampling points can be determined by the time attribute information.

The color attribute information represents the color of each sampling point. For example, the color of the handwriting may be red, yellow, or green. The width attribute information represents the width of each sampling point. For example, the width of the handwriting may be 1 mm, 0.5 mm, etc. The transparency attribute information represents the transparency of each sampling point. For example, the transparency may be 90% or 95%.

In step S12, it is judged whether the current sampling point is the first sampling point; if so, step S13 is executed; if not, step S14 is executed.

In step S13, the attribute information of the current sampling point is maintained.

If it is the first sampling point, keep the original attribute information, and it can be used as a reference basis for subsequent sampling points.

In step S14, the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is calculated to obtain relative attribute information.

It can be understood that when the attribute information includes coordinate attribute information, the amount of change of the X-axis and Y-axis data of the current sampling point relative to the X-axis and Y-axis of the previous sampling point can be calculated, and further according to the X-axis and Y-axis The amount of change in the axis calculates the angular offset as relative attribute information; when the attribute information includes pressure attribute information, the amount of change in the pressure data of the current sampling point relative to the pressure data of the previous sampling point can be calculated as relative attribute information When the attribute information includes time attribute information, the amount of change of the time data of the current sampling point relative to the time data of the previous sampling point can be calculated as relative attribute information, which is not limited herein.

The handwriting writing processing method disclosed in this application maintains the attribute information of the current sampling point when determining that the current sampling point is the first sampling point, and calculates the attribute of the current sampling point when determining that the current sampling point is not the first sampling point The relative change between the information and the attribute information of the previous sampling point, because the data of the relative change is small, the occupied storage space and data bits are less than the original attribute information, so that the handwriting data can be effectively Compression reduces the burden of data storage and data transmission and improves the user experience.

In some embodiments, the attribute information includes coordinate attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the coordinate attribute information of the current sampling point and the coordinate attribute information of the previous sampling point To obtain relative coordinate attribute information, calculate the angular offset between the current sampling point and the previous sampling point according to the relative coordinate attribute information, to obtain the relative attribute information including the angular offset. Since the coordinate attribute information of the first sampling point is absolute coordinate attribute information, therefore, the relative coordinate attribute information of the second sampling point relative to the first sampling point (relative offset of X axis and Y axis) is known , The electronic device 500 can determine the absolute coordinate information of the second sampling point, and so on, the receiving end can calculate the absolute coordinate attribute information of the subsequent sampling point, and then determine the X-axis and Y-axis coordinate values of each sampling point .

In other embodiments, the calculation of the relative change between the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the coordinate attribute information of the current sampling point and the previous sampling point. The relative change amount of the coordinate attribute information to obtain the relative coordinate attribute information, thereby obtaining the relative attribute information including the relative coordinate attribute information.

Please refer to FIG. 3 again. In some embodiments, the sampling the data points of the handwriting to obtain the current sampling point includes: sampling the data points of the handwriting with a sampling distance R. The sampling distance R refers to the distance between two adjacent sampling points, that is, the length of a straight line segment between the current sampling point and the previous sampling point. It can be understood that the sampling distance R may be the same or different. Taking the word "person" as an example, the sampling distance between the first sampling point and the second sampling point is R, the sampling distance between the third sampling point and the second sampling point is also R, and so on The sampling distance between the Nth sampling point and the N-1th sampling point is also R. Among them, N is a positive integer greater than 1. In this embodiment, the angular offset between the current sampling point and the previous sampling point is calculated according to the relative coordinate attribute information to obtain the relative attribute information including the angular offset, the information includes: The sampling distance R and the relative coordinate attribute information calculate the angular offset θ between the current sampling point and the previous sampling point to obtain the relative attribute information including the angular offset θ. It should be noted that the sampling distance R can be set by the user or can be the system default, which is not limited herein.

Further, the calculating the angular offset θ between the current sampling point and the previous sampling point according to the sampling distance R and the relative coordinate attribute information includes:

The previous sampling point establishes a Cartesian coordinate system for the coordinate origin, and calculates the relative coordinate attribute information according to the Cartesian coordinate system. Wherein, the Cartesian coordinate system is a rectangular coordinate system. In other embodiments, the first sampling point may also be used to establish a Cartesian coordinate system for the coordinate origin, and then the coordinates of other sampling points, that is, relative coordinates, may be known.

In this embodiment, the angle offset θ refers to the angle between the line segment of the straight line formed by the current sampling point and the previous sampling point and the positive X axis in the Cartesian coordinate system in the second quadrant direction. Therefore, you can first calculate θ 'based on the absolute value of the sampling distance R and the change in the X-axis or Y-axis, and then calculate the angle offset θ, of course, you can use the sampling distance R and the change in the X-axis or Y-axis , Directly calculate the angle offset θ. For example, if the relative value of the amount of change in the X axis is Δx and the sampling distance is R, then the angular offset θ can be obtained from arccos (Δx / R).

In some embodiments, the attribute information includes pressure attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the pressure attribute information of the current sampling point and the pressure attribute information of the previous sampling point To obtain relative pressure attribute information, thereby obtaining the relative attribute information including the relative pressure attribute information.

In some embodiments, the attribute information includes time attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the time attribute information of the current sampling point and the time attribute information of the previous sampling point To obtain relative time attribute information, thereby obtaining the relative attribute information including the relative time attribute information.

Please refer to FIG. 4 again, which is a flowchart of a handwriting processing method in another embodiment of the present application. In some embodiments, the processing method for handwriting is different from the processing method in FIG. 1 as follows. In this embodiment, the step S13 further includes a step S131: maintaining the attribute information of the current sampling point, and encoding the information of the current sampling point. Step S14 further includes step S141: calculating the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point to obtain relative attribute information, and encoding the relative attribute information. The handwriting processing method further includes step S41: sending the encoded data of the current sampling point to the electronic device 500 through the network for display.

In this embodiment, attribute information needs to be encoded before transmission, so that its data format conforms to the transmission protocol standard of the network 600. Therefore, the attribute information of the first sampling point and the relative attribute information of subsequent sampling points need to be encoded before they can be sent.

The existing handwriting input device 100 obtains the attribute information of each sampling point after sampling the handwriting, and encodes the attribute information of each sampling point and sends it through the network. For example, when the attribute information includes coordinate attribute information, pressure attribute information, and time attribute information, the coordinate attribute information of each sampling point requires 32 bits, where X-axis data and Y-axis data each require 16 bits; the pressure attribute of each sampling point The information needs 16 bits; the time attribute information of each sampling point needs 32 bits. That is, the attribute information of each sampling point requires a total of 80 bits of data for encoding. In this way, if multiple people write and display at the same time in a meeting or classroom teaching, assuming 40 people, an average of 300 points are collected every 300 ms to complete a word writing, theoretically, a bandwidth of nearly 3.2 Mbps is required for smooth writing.

In this embodiment, the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is encoded as the relative attribute information of the current sampling point, which can occupy fewer data bits. For example, the coordinate attribute information only needs 16 bits, the pressure attribute information only needs 8 bits, and the time attribute information needs only 6 bits. Thus, in the same application environment, compared with the existing technology, only 1.3 Mbp broadband is required. Transmission, therefore, this application can effectively reduce the amount of handwriting data transmission, reduce the occupation of the network, and ensure the normal transmission of data.

It can be understood that when the receiving end of the electronic device 500 receives the angular offset θ, the relative change in coordinates between the current sampling point and the previous sampling point can be calculated according to the sampling distance R and the angular offset θ, and further The coordinates of the current sampling point can be determined. For example, the sine and cosine values of the sampling distance R and the angular offset θ can be used to calculate the X-axis and Y-axis coordinate changes of the current sampling point image with respect to the previous sampling point, respectively. In this embodiment, since the offset angle between the current sampling point and the previous sampling point is sent, less data encoding resources are occupied relative to the change in coordinates, and only 10 bits of data bits are needed to achieve the angle offset The encoding of θ further reduces data resources. Please refer to FIG. 5 again, which is a flowchart of a handwriting processing method in still another embodiment of the present application. In this embodiment, compared with the method in FIG. 4, the handwriting processing method further includes the following steps after step S41:

Step S51: Determine whether the response data sent by the electronic device 500 is received within a preset time. If yes, go to step S11; if no, go to step S41.

The response data is a response signal that the electronic device 500 receives the encoded data of the current sampling point sent by the handwriting input device 100.

Although the encoded data was sent through the network 600, due to factors such as network failure, data congestion, or receiver failure, the receiver will not receive the message normally, and if the data at the next sampling point is sent directly, This will cause the handwriting displayed on the receiving end to be inconsistent with the actual handwriting. Therefore, in order to improve the accuracy of data transmission, the handwriting input device 100 needs to determine whether the receiving end has successfully received the encoded data of the current sampling point.

In this embodiment, the response data refers to data that is fed back by the receiving end (electronic device 500) after successfully receiving the encoded data of the current sampling point. If the response data is not received within the preset time, it indicates that the receiving end has not successfully received the encoded data of the current sampling point. Therefore, the encoded data of the current sampling point needs to be resent, that is, step S41 is executed.

It should be noted that, when the receiving end successfully receives the encoded data of the current sampling point, it will send a response data to the handwriting input device 100. If the encoded data of the current sampling point is not successfully received, the response data will not be fed back to The handwriting input device 100.

Please refer to FIG. 6 again, which is a flowchart of a handwriting processing method in another embodiment of the present application. In this embodiment, compared with the method in FIG. 1, the handwriting processing method further includes the following steps before step S11:

In step S61, it is determined whether it is in the writing mode; if it is, step S11 is executed; if not, the flow ends.

In this embodiment, when the writing function of the handwriting input device 100 is turned on, it indicates that the writing mode needs to be entered. When the writing function of the handwriting input device 100 is turned off, it indicates that it is not necessary to enter the writing mode. Wherein, the writing function can be turned on or off by a physical key provided in the handwriting input device 100, and can also be turned on or off by inputting a specific gesture on the touch panel, which is not limited herein. It can be understood that the writing mode of the handwriting input device 100 can also be turned on or off by the electronic device 500.

When the handwriting input device 100 is in the writing mode, it indicates that the stylus 200 can write on the handwriting input device 100, and the handwriting will be generated at this time. Therefore, the handwriting is sampled only when it is in the writing mode, which can Less resource allocation efficiency, so as not to sample the handwriting when there is no writing action.

Please refer to FIG. 7, which is a structural block diagram of the handwriting input device 100 in an embodiment of the present application. The handwriting input device 100 includes but is not limited to the touch panel 10, the memory 20, and the processor 30. Specifically, the touch panel 10, the memory 20, and the processor 30 may be coupled through a communication bus 40. Those skilled in the art should understand that FIG. 6 is only an example of the handwriting input device 100, and does not constitute a limitation on the handwriting input device 100. The handwriting input device 100 may include more information than shown in FIG. More or fewer components, or a combination of certain components, or different components, for example, the handwriting input device 100 may further include an input and output device, a network access device, and the like. Wherein, the touch panel 10 generates a touch signal in response to a writing operation, and the processor 30 of the handwriting input device 100 receives the touch signal of the touch panel 10 to recognize various positions of writing, and determines the various positions according to the writing Write track. In this embodiment, the touch panel 10 may only have a touch response function. In other embodiments, the touch panel 10 may also be a liquid crystal display integrated with a touch panel, an organic light emitting diode display, or the like.

The memory 20 may be used to store computer programs and / or modules. The processor 30 executes or executes the computer programs and / or modules stored in the memory 20 and calls the data stored in the memory 20 to achieve The various functions of the handwriting input device 100 will be described. The memory 20 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart, Media, Card, SMC), and a secure digital (SD) Card, flash card (Flash Card), multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices.

The processor 30 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), Field-programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the handwriting input device 100, and uses various interfaces and lines to connect the entire handwriting input device 100 various parts.

In this embodiment, the memory 20 stores the corresponding program of the handwriting process method, and the processor 30 runs the corresponding program of the handwriting process method to perform the following operations: sampling the data points of the handwriting process to obtain the current Sampling point, and obtain the attribute information of the current sampling point; determine whether the current sampling point is the first sampling point; when it is determined that the current sampling point is the first sampling point, keep the attribute information of the current sampling point; when determining the current sampling point When it is not the first sampling point, the relative change amount of the attribute information of the current sampling point and the previous sampling point is calculated to obtain relative attribute information.

In the handwriting input device 100 disclosed in the present application, when the processor 30 determines that the current sampling point is not the first sampling point, it calculates the relative change between the attribute information of the current sampling point and the attribute information of the previous sampling point. The amount of change data is small, and the occupied storage space and data bits are less than the original attribute information, which can effectively compress handwriting data, reduce the burden of data storage and data transmission, and improve the user experience.

In some embodiments, the data point may be the first data point in the handwritten note, or any data point. When the first sampling point is not the first data point, it means that the sampling is started from the middle data point in the handwriting, not from the starting data point.

In some embodiments, the attribute information includes coordinate attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the coordinate attribute information of the current sampling point and the coordinate attribute information of the previous sampling point To obtain relative coordinate attribute information, calculate the angular offset between the current sampling point and the previous sampling point according to the relative coordinate attribute information, to obtain the relative attribute information including the angular offset. Since the coordinate attribute information of the first sampling point is absolute coordinate attribute information, therefore, the relative coordinate attribute information of the second sampling point relative to the first sampling point (relative offset of X axis and Y axis) is known , The receiving end can determine the absolute coordinate information of the second sampling point, and so on, the receiving end can calculate the absolute coordinate attribute information of the subsequent sampling point, and then determine the X-axis and Y-axis coordinate values of each sampling point.

In some embodiments, the sampling of the handwriting includes: sampling the handwriting at a sampling distance R. Wherein, the sampling distance R refers to the distance between two adjacent sampling points, that is, the length of a straight line segment between the current sampling point and the previous sampling point. In this implementation manner, the calculating the angular offset between the current sampling point and the previous sampling point according to the relative coordinate attribute information further includes: according to the sampling distance R and the relative coordinate attribute information Calculate the angle offset θ between the current sampling point and the previous sampling point.

In this embodiment, the angle offset θ refers to the angle between the line segment of the straight line formed by the current sampling point and the previous sampling point and the positive X axis in the Cartesian coordinate system in the second quadrant direction. Therefore, you can first calculate θ 'based on the absolute value of the sampling distance R and the amount of change in the X-axis or Y-axis, and then calculate the angular offset θ, of course, according to the sampling distance R and the amount of change in the X-axis or Y-axis , Directly calculate the angle offset θ. For example, if the relative value of the amount of change in the X axis is Δx and the sampling distance is R, then the angular offset θ can be obtained from arccos (Δx / R).

In some embodiments, the attribute information includes pressure attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the pressure attribute information of the current sampling point and the pressure attribute information of the previous sampling point To obtain relative pressure attribute information. For example, if the pressure at the current sampling point is 1.05 and the pressure at the previous sampling point is 1, then the relative pressure between the current sampling point and the previous sampling point is 0.05.

In some embodiments, the attribute information includes time attribute information. The calculating the relative change of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the relative change of the time attribute information of the current sampling point and the time attribute information of the previous sampling point To obtain relative time attribute information. For example, if the time of the current sampling point is 9:00 and the pressure of the previous sampling point is 8:59, the relative time between the current sampling point and the previous sampling point is 0:01.

In some embodiments, when it is determined that the current sampling point is the first sampling point, the maintaining the attribute information of the current sampling point includes: maintaining the attribute information of the current sampling point, and checking the current sampling point Encoding of the information;

When it is determined that the current sampling point is not the first sampling point, the calculating the relative change amount of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the current sampling point The relative change amount of the attribute information of the sampling point and the attribute information of the previous sampling point to obtain relative attribute information, and encode the relative attribute information;

The processor 30 runs the corresponding program of the handwriting processing method and further performs the following operation: sending the encoded data of the current sampling point to the electronic device 500 through the network for display.

In some embodiments, the processor 30 runs the corresponding program of the handwriting processing method to perform the following operations: determine whether the response data of the electronic device 500 is received within a preset time; when it is determined to be within the preset time When the response data is received, the steps of sampling the data points of the handwriting to obtain the current sampling point and acquiring the attribute information of the current sampling point are performed. When it is determined that no response data is received within the preset time, the step of transmitting the encoded data of the current sampling point through the network is performed. The response data is a response signal that the electronic device 500 receives the encoded data of the current sampling point sent by the handwriting input device 100.

Although the encoded data was sent through the network 600, due to factors such as network failure, data congestion, or receiver failure, the receiver will not receive the message normally, and if the data at the next sampling point is sent directly, This will cause the handwriting displayed on the receiving end to be inconsistent with the actual handwriting. Therefore, in order to improve the accuracy of data transmission, the handwriting input device 100 needs to determine whether the receiving end of the electronic device 500 has successfully received the encoded data of the current sampling point.

In this embodiment, the response data refers to data that is fed back after the receiving end (electronic device 500) successfully receives the encoded data of the current sampling point. If the response data is not received within the preset time, it indicates that the receiving end has not successfully received the encoded data of the current sampling point.

In other embodiments, before performing the operation of sampling the handwriting and obtaining the attribute information of the current sampling point, the processor 30 also performs the following operations to determine whether the handwriting input device 100 is in the writing mode, when When it is determined that the handwriting input device is in the writing mode, the operation of sampling the handwriting and acquiring the attribute information of the current sampling point is performed.

It should be noted that, for the sake of simple description, the foregoing method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited by the sequence of actions described because According to this application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the above embodiments, the description of each embodiment has its own emphasis. For a part of an embodiment that does not have a detailed description, please refer to the relevant descriptions of other embodiments.

The steps in the method of the embodiment of the present application may be adjusted, merged, and deleted sequentially according to actual needs.

The method for processing handwriting provided by the present application may be implemented in hardware or firmware, or as software or computer code that can be stored in a computer-readable storage medium such as CD, ROM, RAM, floppy disk, hard disk, or magneto-optical disk, or The computer code that can be stored as original on a remote recording medium or non-transitory machine-readable medium, downloaded over a network, and stored in a local recording medium, so that the method described here can utilize a general-purpose computer or a special processor or in such as ASIC or Programmable or dedicated hardware such as FPGA is presented as software stored on a recording medium. As can be understood in the art, a computer, processor, microprocessor, controller, or programmable hardware includes memory components, such as RAM, ROM, flash memory, etc., which are accessed when the computer, processor, or hardware implements the processing methods described herein When executing software or computer code, the memory component may store or receive the software or computer code. In addition, when the general-purpose computer accesses the code for implementing the processing shown here, the execution of the code converts the general-purpose computer into a dedicated computer for performing the processing shown here.

Wherein, the computer-readable storage medium may be solid-state memory, memory card, optical disc, etc. The computer-readable storage medium stores program instructions for the computer to execute the handwriting processing method shown in FIGS. 1-5.

The embodiments of the present application are described in detail above, and specific examples are used to explain the principles and embodiments of the present application. The descriptions of the above embodiments are only used to help understand the method and the core idea of the present application; A person of ordinary skill in the art, according to the ideas of the present application, may have changes in specific embodiments and application scopes. In summary, the content of this specification should not be construed as limiting the present application.

Claims

A handwriting handwriting processing method is applied to a handwriting input device, and is characterized in that the handwriting handwriting processing method includes the following steps:

Sampling the data points of the handwriting to obtain the current sampling point, and obtaining the attribute information of the current sampling point;

Determine whether the current sampling point is the first sampling point;

When it is determined that the current sampling point is the first sampling point, attribute information of the current sampling point is maintained;

When it is determined that the current sampling point is not the first sampling point, the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is calculated to obtain relative attribute information.
The method for processing handwriting according to claim 1, wherein the data point is the first data point or any data point of the handwriting.
The method for processing handwriting according to claim 1, wherein when determining that the current sampling point is the first sampling point, the maintaining the attribute information of the current sampling point includes: maintaining the current sampling point Attribute information, and encode the information of the current sampling point;

When it is determined that the current sampling point is not the first sampling point, the calculating the relative change amount of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the current sampling point The relative change amount of the attribute information of the sampling point and the attribute information of the previous sampling point to obtain relative attribute information, and encode the relative attribute information;

The handwriting processing method further includes: sending the encoded data of the current sampling point to an electronic device through a network for display.
The method for processing handwriting according to claim 1, wherein the attribute information includes coordinate attribute information; and the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is calculated to obtain a relative attribute Information, including: calculating the relative change of the coordinate attribute information of the current sampling point and the coordinate attribute information of the previous sampling point to obtain relative coordinate attribute information, and calculating the difference between the current sampling point and the previous sampling point according to the relative coordinate attribute information To obtain the relative attribute information including the angular offset.
The method for processing handwriting according to claim 4, wherein the sampling the data points of the handwriting includes: sampling the data points of the handwriting at a sampling distance;

Calculating the angular offset between the current sampling point and the previous sampling point according to the relative coordinate attribute information to obtain the relative attribute information including the angular offset, further including: according to the sampling distance and The relative coordinate attribute information calculates the angular offset between the current sampling point and the previous sampling point to obtain the relative attribute information including the angular offset.
The method for processing handwriting according to claim 5, wherein the sampling distance is a length of a straight line segment between the current sampling point and the previous sampling point.
The method for processing handwriting according to claim 1, wherein the attribute information includes pressure attribute information; the calculation of the relative change between the attribute information of the current sampling point and the attribute information of the previous sampling point to obtain a relative attribute The information includes: calculating the relative change amount of the pressure attribute information of the current sampling point and the pressure attribute information of the previous sampling point to obtain relative pressure attribute information.
The method for processing handwriting according to claim 1, wherein the attribute information includes time attribute information; the calculation of the relative change between the attribute information of the current sampling point and the attribute information of the previous sampling point to obtain a relative attribute The information includes: calculating the relative change amount of the time attribute information of the current sampling point and the time attribute information of the previous sampling point to obtain relative time attribute information.
The method for processing handwriting according to claim 3, wherein after the step of sending the encoded data of the current sampling point to an electronic device via a network for display, the method further comprises:

Judging whether the response data sent by the electronic device is received within a preset time, and the response data is a response signal that the electronic device receives the encoded data of the current sampling point sent by the handwriting input device;

When it is determined that the response data is received within the preset time, the step of sampling the data points of the handwriting and acquiring the attribute information of the current sampling point is performed.
The method for processing handwriting according to claim 9, wherein the method for processing handwriting further comprises:

When it is determined that the response data sent by the electronic device is not received within the preset time, the step of sending the encoded data of the current sampling point to the electronic device through the network for display is performed.
The handwriting processing method according to claim 1, wherein the handwriting processing method samples the data points of the handwriting to obtain the current sampling point, and obtains the attribute information of the current sampling point Before the step, it also includes:

Determine whether the handwriting input device is in writing mode;

When it is determined that the handwriting input device is in the writing mode, performing the steps of sampling the data points of the handwriting to obtain the current sampling point and acquiring the attribute information of the current sampling point.
A handwriting input device includes a memory and a processor, wherein the memory stores a corresponding program of a handwriting process method, and the processor runs the corresponding program of the handwriting process method to perform the following operations:

Sampling the data points of the handwriting to obtain the current sampling point, and obtaining the attribute information of the current sampling point;

Determine whether the current sampling point is the first sampling point;

When it is determined that the current sampling point is the first sampling point, attribute information of the current sampling point is maintained;

When it is determined that the current sampling point is not the first sampling point, the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point is calculated to obtain relative attribute information.
The handwriting input device according to claim 12, wherein the data point is the first data point or any data point of the handwriting.
The handwriting input device according to claim 12, wherein when determining that the current sampling point is the first sampling point, the maintaining the attribute information of the current sampling point includes: maintaining the attribute of the current sampling point Information, and encode the information of the current sampling point;

When it is determined that the current sampling point is not the first sampling point, the calculating the relative change amount of the attribute information of the current sampling point and the previous sampling point to obtain relative attribute information includes: calculating the current sampling point The relative change amount of the attribute information of the sampling point and the attribute information of the previous sampling point to obtain relative attribute information, and encode the relative attribute information;

The corresponding program of the processor running the handwriting processing method also performs the following operation: sending the encoded data of the current sampling point to an electronic device through a network for display.
The handwriting input device according to claim 12, wherein the attribute information includes coordinate attribute information; the calculation of the relative change amount of the attribute information of the current sampling point and the attribute information of the previous sampling point to obtain relative attribute information Including: calculating the relative change amount of the coordinate attribute information of the current sampling point and the coordinate attribute information of the previous sampling point to obtain relative coordinate attribute information, and calculating between the current sampling point and the previous sampling point according to the relative coordinate attribute information To obtain the relative attribute information including the angular offset.
The handwriting input device according to claim 15, wherein the sampling of the data points of the handwriting includes: sampling the data points of the handwriting with a sampling distance;

Calculating the angular offset between the current sampling point and the previous sampling point according to the relative coordinate attribute information to obtain the relative attribute information including the angular offset, including: according to the sampling distance and The relative coordinate attribute information calculates the angular offset between the current sampling point and the previous sampling point to obtain the relative attribute information including the angular offset.
The handwriting input device according to claim 16, wherein the sampling distance is a length of a straight line segment between the current sampling point and the previous sampling point.
The handwriting input device according to claim 12, wherein the attribute information includes pressure attribute information and / or time attribute information; and the calculation of the relative change between the attribute information of the current sampling point and the attribute information of the previous sampling point To obtain relative attribute information, including: calculating the relative change between the pressure attribute information of the current sampling point and the pressure attribute information of the previous sampling point to obtain relative pressure attribute information; and / or calculating the time attribute information of the current sampling point and the previous The relative change of the time attribute information of a sampling point to obtain relative time attribute information.
The handwriting input device according to claim 14, wherein the corresponding program of the processor running the handwriting processing method further performs the following operations:

Judging whether the response data sent by the electronic device is received within a preset time, and the response data is a response signal that the electronic device receives the encoded data of the current sampling point sent by the handwriting input device;

When it is determined that the response data is not received within the preset time, the step of sending the encoded data of the current sampling point to the electronic device through the network for display is performed.
A computer-readable storage medium, characterized in that a corresponding program of a handwriting processing method is stored on the computer-readable storage medium, and the corresponding program of the handwriting processing method is implemented by a processor as claimed in claim 1- The method for processing handwriting according to any one of 11.