KR102625442B1 - Apparatus and method for performing cognitive diagnosis using analog handwriting - Google Patents

Abstract

The present invention includes a memory that stores reference data for cognitive diagnosis; a communication unit that receives handwriting information generated according to handwriting input on a patterned diagnostic paper from an electronic pen; and a processor that generates cognitive diagnosis result data by comparing the handwriting information with the reference data. It relates to an apparatus for performing cognitive diagnosis using analog handwriting, including a.

Description

Apparatus and method for performing cognitive diagnosis using analog handwriting}

The present invention relates to an apparatus and method for performing cognitive diagnosis using analog handwriting.

Cognitive diagnosis refers to the process of determining in detail whether the person being tested has acquired the various knowledge and skills measured by the test. This cognitive diagnosis is used to determine the degree of dementia or autism spectrum disorder.

For this cognitive diagnosis, an expert confirms the information written by the test taker on a diagnostic sheet (MMSE, CIST) and derives the results. The results derived through this process are bound to be inconsistent because they involve elements of human subjective judgment. Additionally, there is the inconvenience of computerizing data in order to continuously monitor results.

Registration number 10-2338351

In order to solve the above problems, the purpose of the present invention is to provide a cognitive diagnosis performing device that maintains consistency and allows easy tracking of results.

Additionally, the purpose of the present invention is to provide a cognitive diagnosis method that maintains consistency and allows easy tracking of results.

The problems of the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

In order to achieve the above task, the cognitive diagnosis performing device according to an embodiment of the present invention digitizes and uses analog handwriting data using an electronic pen.

An apparatus for performing cognitive diagnosis according to an embodiment of the present invention includes a memory that stores reference data for cognitive diagnosis; a communication unit that receives handwriting information generated according to handwriting input on a patterned diagnostic paper from an electronic pen; and a processor that generates cognitive diagnosis result data by comparing the handwriting information with the reference data.

The writing information includes information about lines written while the nib of the electronic pen is in contact with the diagnostic paper and moves along the lines printed on the diagnostic paper.

The processor compares the printed line and the written line, measures the separation between the printed line and the written line, and generates the result data based on the separation.

The handwriting information includes pen pressure information defined as the degree to which the pen tip of the electronic pen presses against the diagnostic paper.

The processor generates the result data based on a comparison value generated by comparing the pen pressure information with a reference value.

The writing information includes information about the time when the nib of the electronic pen was in contact with the diagnostic paper.

The processor generates the result data based on a comparison value generated by comparing the information about the time with a reference time.

The processor accumulates and stores the diagnosis result data in the memory.

The processor determines trends in result values over time based on cumulatively stored diagnostic result data.

A method of performing cognitive diagnosis using analog handwriting according to an embodiment of the present invention includes the steps of receiving handwriting information generated according to handwriting input on a diagnostic paper on which a pattern is formed from an electronic pen; Retrieving reference data for cognitive diagnosis from memory; Comparing the handwriting information with the reference data; and generating cognitive diagnosis result data based on the comparison result.

Specific details of other embodiments are included in the detailed description and drawings.

According to the present invention, one or more of the following effects are achieved.

First, by connecting analog handwriting and digital electronic devices, there is an effect of performing a more objective and efficient cognitive diagnosis.

Second, by using existing test questions and reflecting spacing, pen pressure, and time as diagnostic factors, there is an effect of performing a more sophisticated test.

Third, there is an effect of confirming trends by accumulating and utilizing the resulting data.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a diagram referenced for explaining a system according to an embodiment of the present invention.
FIG. 2 is a diagram referenced for explaining the configuration of an electronic device and an electronic pen according to an embodiment of the present invention.
Figure 3 is a diagram referenced to explain information received from an electronic pen according to an embodiment of the present invention.
Figure 4 is a diagram referenced to explain paper on which a pattern is printed according to an embodiment of the present invention.
5A to 5D are diagrams referenced for explaining a pattern according to an embodiment of the present invention.
Figure 6 is a diagram referenced to explain the area included in the diagnostic sheet and handwriting input for the area according to an embodiment of the present invention.
Figure 7 is a flow chart of an apparatus for performing cognitive diagnosis according to an embodiment of the present invention.
FIG. 8 is a diagram referenced for explaining the operation of a cognitive diagnosis apparatus according to an embodiment of the present invention.

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the attached drawings. However, identical or similar components will be assigned the same reference numbers regardless of reference numerals, and duplicate descriptions thereof will be omitted. The suffixes “module” and “part” for components used in the following description are given or used interchangeably only for the ease of preparing the specification, and do not have distinct meanings or roles in themselves. Additionally, in describing the embodiments disclosed in this specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed descriptions will be omitted. In addition, the attached drawings are only for easy understanding of the embodiments disclosed in this specification, and the technical idea disclosed in this specification is not limited by the attached drawings, and all changes included in the spirit and technical scope of the present invention are not limited. , should be understood to include equivalents or substitutes.

Terms containing ordinal numbers, such as first, second, etc., may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

1 is a diagram referenced for explaining a system according to an embodiment of the present invention.

Referring to the drawing, the system 10 can perform cognitive diagnosis using analog handwriting. The system 10 can convert analog handwriting into digital data and use it.

A cognitive diagnosis subject 300 can write analog notes using an electronic pen 300 on diagnostic paper 410 with a pattern printed on it. In this case, the electronic pen 300 can convert analog handwriting into digital data and transmit it to the electronic device 100. The electronic pen 300 can generate digitized information using a sensor included in the electronic pen 300 and transmit the information to the electronic device 100.

Based on the received information, the electronic device 100 may perform a cognitive test through a program and generate cognitive diagnosis result data.

The electronic device 100 may accumulate and store cognitive diagnosis result data. The electronic device 100 may accumulate and store cognitive diagnosis result data in its internal memory. Depending on the embodiment, the electronic device 100 may transmit the cognitive diagnosis result to the server 50.

The server 50 may accumulate and store cognitive diagnosis result data.

System 10 may include an electronic device 100 and an electronic pen 300. Depending on the embodiment, system 10 may further include a server 50. Depending on the embodiment, the system 10 may further include a diagnostic strip 410.

The electronic device 100 can perform cognitive diagnosis using analog handwriting. The electronic device 100 may be referred to as a cognitive diagnosis performing device using analog handwriting.

The electronic device 100 can communicate wirelessly with the electronic pen 300. For example, the electronic device 100 may exchange signals with the electronic pen 300 via short-range communication (eg, Bluetooth).

The electronic device 100 can receive information from the electronic pen 300. The electronic device 100 can receive information generated by the electronic pen 300 through wireless communication. Here, the information may include paper information and handwriting information generated by the electronic pen 300. Paper information will be described later with reference to FIGS. 4 to 5D. Handwriting information may refer to information generated by writing, drawing, or painting on paper through an analog writing means (e.g., ink) provided by the electronic pen 300. there is.

The electronic pen 300 can detect the pattern and provide information when the pen tip contacts paper with a pattern printed on it (hereinafter referred to as pattern paper). Information may include paper information and handwritten information.

The electronic pen 300 can recognize patterns using a sensor. For example, when the pen tip contacts patterned paper, the electronic pen 300 may sense the pattern of the patterned paper through at least one sensor included in the electronic pen 300. The electronic pen 300 can provide information about the recognized pattern.

The electronic pen 300 can provide a writing device. The user can write, draw, or paint on paper using a writing device while holding the electronic pen 300. The action of a user writing, drawing, or coloring on paper through a writing device can be named analog writing. Information generated by a user writing, drawing, or coloring on paper using a writing device may be referred to as handwriting information.

The electronic pen 300 can obtain handwriting information using a sensor. For example, when the pen tip is moved while in contact with patterned paper, the electronic pen 300 may sense a change in the pattern through at least one sensor included in the electronic pen 300. The electronic pen 300 can acquire handwriting information based on information about changes in recognized patterns.

The server 50 may receive cognitive diagnosis result data from at least one electronic device 100. The server 50 may accumulate and store cognitive diagnosis result data. The server 50 may accumulate and store cognitive diagnosis result data for each cognitive test subject 400.

The server 50 is a cloud server, an IP Multimedia Subsystem (IMS) server, a Telephony Application server, an Instant Messaging (IM) server, a Media Gateway Control Function (MGCF) server, and a Messaging Gateway (MSG) server. , CSCF (Call Session Control Function) server, etc., and may be implemented through them.

The diagnostic paper 410 can be described as a type of pattern paper. The diagnostic sheet 410 may be implemented in a form in which content and patterns for cognitive diagnosis are printed on paper together. The pattern paper mentioned in this specification can be interpreted as diagnostic paper 410. The diagnostic sheet 410 may include a question area for cognitive diagnosis and an answer writing area.

FIG. 2 is a diagram referenced for explaining the configuration of an electronic device and an electronic pen according to an embodiment of the present invention.

Referring to the drawings, the electronic pen 300 may include a communication unit 310, a sensor unit 320, and a processor 370. The electronic pen 300 may include writing means for writing analogue notes on patterned paper.

The communication unit 310 may include at least one antenna and a radio frequency (RF) circuit for performing wireless communication. The communication unit 310 can transmit information to the electronic device 100.

The sensor unit 320 can recognize the pattern of patterned paper. The sensor unit 320 may include at least one of an image sensor, a pressure sensor, and a posture sensor. The image sensor can acquire a pattern image of pattern paper. The pressure sensor can detect pen pressure. The posture sensor can detect the posture of the electronic pen 300.

The processor 370 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, and controllers. It may be implemented using at least one of controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

The processor 370 may be driven by power provided from a power supply. The processor 370 may receive data, process data, generate signals, and provide signals while being powered by a power supply.

The processor 370 can control each unit of the electronic pen 300. The processor 370 is electrically connected to the sensor unit 320 and the communication unit 310 and can control the sensor unit 320 and the communication unit 310.

The processor 370 may transmit information obtained from the sensor unit 320 to the electronic device 100 through the communication unit 310.

The electronic device 100 can use analog handwriting as a digital input signal.

The electronic device 100 may include a communication unit 110, a memory 140, and a processor 170.

The communication unit 110 may include at least one antenna and a radio frequency (RF) circuit for performing wireless communication. The communication unit 110 can exchange data with an external electronic device. Meanwhile, the external electronic device is a concept that includes the electronic pen 300, a user terminal (e.g., an administrator terminal, a cognitive diagnosis patient terminal), a server 50, etc., and, excluding the electronic device 100, at least one It refers to a device that can exchange signals, data, and information through a communication protocol.

The communication unit 110 can receive information from the electronic pen 300.

The communication unit 110 may receive information generated by recognizing a pattern printed on paper from the electronic pen 300. The information may include information about patterns printed on paper and handwriting information generated by the electronic pen 300.

The communication unit 110 may receive handwriting information generated according to handwriting input on the patterned diagnostic paper 410 from the electronic pen 300.

The memory 140 is electrically connected to the processor 170. The memory 140 can store basic data for the unit, control data for controlling the operation of the unit, and input/output data. The memory 140 may store data processed by the processor 170. The memory 140 may be comprised of at least one of ROM, RAM, EPROM, flash drive, and hard drive in terms of hardware. The memory 140 may store various data for the overall operation of the electronic device 100, such as programs for processing or controlling the processor 170. The memory 140 may be implemented integrally with the processor 170. Depending on the embodiment, the memory 140 may be classified as a sub-component of the processor 170.

The memory 140 can match and store paper information and cognitive diagnosis content. For example, the memory 140 may match and store the first note ID and first diagnosis content among the paper information. For example, the memory 140 may store the first page ID by matching the first page of the first diagnostic content.

The memory 140 may store reference data for cognitive diagnosis. When there is a request from the processor 170, the memory 140 may provide reference data for cognitive diagnosis to the processor 170.

The memory 140 may store data for each component of the content described in the diagnostic sheet 410. For example, the content of the diagnostic sheet 410 includes the cognitive diagnosis subject 400 drawing along the line written on the diagnostic sheet 410, and the memory 140 is configured to draw a line written on the diagnostic sheet 410. Data (for example, X coordinate information, Y coordinate information) can be stored.

The memory 140 can store data whose level is determined by quantifying the separation degree.

The memory 140 may store reference value data for pen pressure. For example, the memory 140 may be classified according to the characteristics of the cognitive diagnosis subject 400, such as age and gender, and store baseline data with a set level.

The memory 140 may store data about the reference time for cognitive diagnosis. For example, the memory 140 may be classified according to the characteristics of the cognitive diagnosis subject 400, such as age and gender, and store data about the standard time for cognitive diagnosis at which level is determined.

The processor 170 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, and controllers. It may be implemented using at least one of controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

The processor 170 may be driven by power provided from a power supply. The processor 170 may receive data, process data, generate signals, and provide signals while being powered by a power supply.

The processor 170 may receive handwriting information from the electronic pen 300 through the communication unit 110.

The writing information may include information about lines written while the nib of the electronic pen 300 is in contact with the diagnostic paper 410 and moves along the line printed on the diagnostic paper 410 . Meanwhile, the lines printed on the diagnostic paper 410 may be curved or straight.

The writing information may include pen pressure information defined as the degree to which the pen tip of the electronic pen 300 presses against the diagnostic paper 410. A pressure sensor is included inside the electronic pen 300, and when the cognitive diagnosis subject 400 writes on the diagnostic paper 410 while holding the electronic pen 300, the pressure sensor detects pen pressure. can do. The electronic pen 300 may transmit pen pressure information generated by the pressure sensor to the electronic device 100.

The writing information may include information about the time when the pen tip of the electronic pen 300 was in contact with the diagnostic paper 410.

The processor 170 may retrieve reference data for cognitive diagnosis from the memory 140.

The processor 170 may recall data (eg, X coordinate information, Y coordinate information) about the line written on the diagnostic sheet 410 from the memory 140.

The processor 170 may retrieve reference value data for pen pressure from the memory 140.

The processor 170 may retrieve data about the reference time for cognitive diagnosis from the memory 140.

The processor 170 may generate cognitive diagnosis result data by comparing handwriting information with reference data.

Processor 170 may compare the printed line and the written line to measure the separation between the printed line and the written line. The processor 170 may generate cognitive diagnosis result data based on the separation degree.

The processor 170 can quantify the average separation degree. The processor 170 may generate cognitive diagnosis result data based on the average value of the separation degree. The processor 170 may generate cognitive diagnosis result data according to which level the average value of the separation degree generated based on the handwriting information corresponds.

The processor 170 may generate cognitive diagnosis result data based on a comparison value generated by comparing pen pressure information and a reference value.

The processor 170 may quantify the average of pen pressure while performing cognitive diagnosis according to pen pressure information. The processor 170 may generate cognitive diagnosis result data based on the average value of pen pressure. The processor 170 may generate diagnostic result data depending on which level the average value of pen pressure corresponds to.

The processor 170 may generate cognitive diagnosis result data based on a comparison value generated by comparing information about time and a reference time.

The processor 170 may obtain information about the total time it takes to perform cognitive diagnosis. The processor 170 determines the time taken from when the pen tip of the electronic pen 300 touches the first area 610 of the diagnostic paper 410, after touching the second area 620, and until the contact is completed. You can obtain information about. The processor 170 may define the time taken as the total time required to perform cognitive diagnosis.

The processor 170 may accumulate and store diagnosis result data in the memory 140 .

The processor 170 may identify trends in result values over time based on cumulatively stored diagnostic result data.

The processor 170 may graphically process the trend of result values over time and provide the result in the form of a graph.

The processor 170 may transmit the diagnosis result data to at least one of the administrator's terminal and the cognitive diagnosis subject's terminal.

Figure 3 is a diagram referenced to explain information received from an electronic pen according to an embodiment of the present invention.

Referring to the drawings, information received from the electronic pen 300 may include paper information and handwriting information generated by the electronic pen 300. Here, paper refers to paper on which a pattern is printed.

Paper information 390 includes information about X coordinates (391), information about Y coordinates (392), pattern information (393), pressure information (394), time information (395), owner ID information (396), and notes. It may include ID information 397 and page ID information 398.

The information 391 about the X coordinate may mean information about the The electronic pen 300 can generate information about the X coordinate by recognizing the pattern of the point where the pen tip is in contact.

The information 392 about the Y coordinate may mean information about the Y coordinate of the point where the pen tip of the electronic pen 300 is in contact with the paper. The electronic pen 300 can generate information about the Y coordinate by recognizing the pattern of the point where the pen tip is in contact.

The pattern information 393 includes information about how the pattern was formed, information about the rules of the pattern, information about the shape of the pattern, information about the spacing between patterns, information about the size of the pattern, and information about the slope of the pattern. It can include at least one of them. The pattern information 393 may include ID information unique to the pattern paper.

Pressure information 394 may refer to information about pen pressure when the pen tip of the electronic pen 300 is in contact with paper.

Time information 395 may refer to information about the time measured from the time the pen tip of the electronic pen 300 first contacts the paper to the time the contact ends.

Owner ID information 396 may be information about the owner of the paper. For example, when content is printed on paper and matched with a pattern, the owner ID may be designated as the owner of the content, and the owner ID information 396 may be content owner information.

Note ID information 397 may mean file ID information defined as a set of multiple papers. For example, when printing an electronic document file consisting of multiple pages, multiple papers are output. A set of multiple papers can be described as a note or file, and the ID assigned to the note or file can be The information can be described as note ID information.

Page ID information 398 may refer to information about the ID assigned to each piece of paper constituting the note.

Handwriting means changing the position of the pen tip on paper while it is in contact with the paper, and handwriting information can be defined as information generated by writing. The sensor unit 320 of the electronic pen 300 can detect a change in the pattern as the pen tip moves. The electronic pen 300 can generate handwriting information based on changes in patterns.

Handwriting information may be converted into a digital signal and provided to the electronic device 100. The electronic device 100 may display the content of the handwriting on the display unit 151 based on the handwriting information. Alternatively, the electronic device 100 may control the output device 150 based on handwriting information.

Figure 4 is a diagram referenced to explain paper on which a pattern is printed according to an embodiment of the present invention.

Referring to the drawings, the pattern paper 410 can be described as paper with a predetermined pattern printed on it. The pattern can be printed through a printer. One page of specific content may be printed on the pattern paper 410.

The pattern paper 410 may be divided into a plurality of areas. Areas can be defined by the user. The pattern paper 410 may have different pattern styles depending on the position of the pattern paper 410. The pattern form can be determined by factors such as the shape of the pattern, the spacing between patterns, the size of the pattern, and the inclination of the pattern.

5A to 5D are diagrams referenced for explaining a pattern according to an embodiment of the present invention. FIGS. 5A to 5D are enlarged views of 420 of FIG. 4 and show examples of various patterns.

As illustrated in FIG. 5A, the pattern format may be determined based on the spacing 511 and 512 between dots. For example, based on the first interval 511 between the point of the first coordinate and the point of the second coordinate and the interval 512 between the point of the third coordinate and the point of the fourth coordinate, the pattern of the pattern paper 410 can be defined. Based on the pattern of the pattern paper 410, a unique ID may be assigned to the pattern paper 410. By the pattern of the pattern paper 410, a plurality of pattern papers can be distinguished from each other. Additionally, the X and Y coordinates within the pattern paper 410 can be distinguished by the pattern of the pattern paper 410.

As illustrated in FIG. 5B, the pattern format may be determined based on the shapes 521 and 522 of the dots. For example, the pattern of the pattern paper 410 can be defined based on the first shape of the point at the first coordinate and the second shape of the point at the second coordinate. Based on the pattern of the pattern paper 410, a unique ID may be assigned to the pattern paper 410. By the pattern of the pattern paper 410, a plurality of pattern papers can be distinguished from each other. Additionally, the X and Y coordinates within the pattern paper 410 can be distinguished by the pattern of the pattern paper 410.

As illustrated in FIG. 5C, the pattern format may be determined based on the sizes 531 and 532 of the dots. For example, the pattern of the pattern paper 410 may be defined based on the first size of the point at the first coordinate and the second size of the point at the second coordinate. Based on the pattern of the pattern paper 410, a unique ID may be assigned to the pattern paper 410. By the pattern of the pattern paper 410, a plurality of pattern papers can be distinguished from each other. Additionally, the X and Y coordinates within the pattern paper 410 can be distinguished by the pattern of the pattern paper 410.

As illustrated in FIG. 5D, when the point has an elongated shape, the pattern form may be determined based on the slope of the point with respect to the X-axis or Y-axis. For example, the pattern of the pattern paper 410 may be defined based on the first slope of the point of the first coordinate and the second slope of the point of the second coordinate. Based on the pattern of the pattern paper 410, a unique ID may be assigned to the pattern paper 410. By the pattern of the pattern paper 410, a plurality of pattern papers can be distinguished from each other. Additionally, the X and Y coordinates within the pattern paper 410 can be distinguished by the pattern of the pattern paper 410.

Figure 6 is a diagram referenced to explain the area included in the diagnostic sheet and handwriting input for the area according to an embodiment of the present invention.

Referring to the drawings, the diagnostic strip 410 may include a plurality of areas 610 and 620.

The electronic pen 300 can detect a handwriting input to one of a plurality of areas. The electronic pen 300 can transmit handwriting information about the corresponding area to the electronic device 100.

The processor 170 may perform a preset operation when a handwriting input for one of the plurality of areas is received.

Different patterns are printed in each of the plurality of areas, and the electronic pen 300 can recognize the different patterns. The processor 170 can determine which area the handwriting input is made through pattern recognition using the electronic pen 300.

The memory 140 may store operation information of the output device 150 that matches each of the plurality of areas. The processor 170 may generate a control signal to perform a matched operation when a handwriting input for one of the plurality of areas is received.

When a handwriting input for the first area 610 is received, the processor 170 may perform an operation to count time according to operation information stored in the memory 140. The processor 170 may count the time from the point when the pen tip of the electronic pen 300 touches the first area 610.

Meanwhile, the first area 610 may be an area where essential information is printed when performing cognitive diagnosis. For example, the first area 610 may be an area where personal information of a cognitive test subject is written.

When a handwriting input for the second area 620 is received, the processor 170 may perform an operation to stop the time count according to the operation information stored in the memory 140. The processor 170 may stop counting time when a preset time elapses after the pen tip of the electronic pen 300 touches the second area 620 and the pen tip moves away from the second area 620 .

Meanwhile, the second area 620 may be an area where the last content written during cognitive diagnosis is printed. For example, the second area 620 may be an area where the last question of the cognitive test is written.

Figure 7 is a flow chart of an apparatus for performing cognitive diagnosis according to an embodiment of the present invention.

Referring to the drawing, the processor 170 may receive handwriting information generated according to a handwriting input on a diagnostic paper on which a pattern is formed from the electronic pen 300 (S710).

The writing information may include information about lines written while the nib of the electronic pen 300 is in contact with the diagnostic paper 410 and moves along the line printed on the diagnostic paper 410 .

The writing information may include pen pressure information defined as the degree to which the pen tip of the electronic pen 300 presses against the diagnostic paper 410.

The writing information may include information about the time when the pen tip of the electronic pen 300 was in contact with the diagnostic paper 410.

The processor 170 may recall reference data for cognitive diagnosis from the memory 140 (S720).

The processor 170 may recall data (eg, X coordinate information, Y coordinate information) about the line written on the diagnostic sheet 410 from the memory 140.

The processor 170 may retrieve reference value data for pen pressure from the memory 140.

The processor 170 may retrieve data about the reference time for cognitive diagnosis from the memory 140.

The processor 170 may compare handwriting information with reference data (S730).

The processor 170 may generate cognitive diagnosis result data based on the comparison result (S740).

Processor 170 may compare the printed line and the written line to measure the separation between the printed line and the written line. The processor 170 may generate cognitive diagnosis result data based on the separation degree.

The processor 170 may generate cognitive diagnosis result data based on a comparison value generated by comparing pen pressure information and a reference value.

The processor 170 may generate cognitive diagnosis result data based on a comparison value generated by comparing information about time and a reference time.

The processor 170 may accumulate and store diagnostic result data in the memory 140 (S750).

The processor 170 may determine the trend of result values over time based on the cumulatively stored diagnostic result data (S760).

FIG. 8 is a diagram referenced for explaining the operation of a cognitive diagnosis apparatus according to an embodiment of the present invention.

Referring to the drawings, the electronic device 100 can perform cognitive diagnostic measurement based on analog handwriting. Cognitive diagnostic measures can be used to diagnose dementia in elderly people.

The electronic device 100 may combine a pattern with an existing general diagnosis document and perform cognitive diagnosis measurement based on the cognitive evaluation logic implemented by the processor 170. Cognitive evaluation logic can be implemented in software. The electronic device 100 may provide a cognitive diagnosis method using an analog writing method, such as diagnosis through an existing general diagnosis document, based on the handwriting information received from the electronic pen 300.

The electronic device 100 can apply a pattern to an existing general diagnostic document and check the user's pen input strokes using the electronic pen 300. Pen input strokes can be described as elements that generate handwriting information. For example, the pen input stroke may include the

The electronic device 100 may generate a diagnostic paper 410 with a matching electronic pen pattern. The operation of generating the diagnostic sheet 410 may be performed by the processor 170 of the electronic device 100.

Processor 170 may retrieve a general diagnostic document. The processor 170 may load a general diagnostic document stored in the memory 140. The general diagnosis document may be any one of an MS-OFFICE-based document file, a Hancom Office-based document file, a PDF document file, or an electronic document file in the form of an image.

The processor 170 may obtain a pattern that can be recognized by the electronic pen 300.

The processor 170 may receive data related to the pattern from the pattern providing device through the communication unit 110.

Patterns that can be recognized by the electronic pen 300 can be provided by a third party. In this case, the pattern providing device is physically placed outside, and the processor 170 can receive data related to the pattern from the pattern providing device through the communication unit 110.

Depending on the embodiment, a pattern that can be recognized by the electronic pen 300 may be provided from within the electronic device 100 (eg, memory). In this case, the processor 170 may receive pattern data from a stored unit.

The processor 170 may generate a pattern matching diagnostic document by matching a pattern to a general diagnostic document.

The processor 170 may generate a pattern matching diagnostic document by matching a pattern to a general diagnostic document and assigning a pattern with a unique ID assigned to each page included in the general diagnostic document.

A general diagnosis document may include multiple pages.

The processor 170 may individually assign a pattern to which a unique ID is assigned to each of a plurality of pages of the general diagnostic document. For example, the processor 170 may assign a first pattern to the first page of the general diagnosis document, a second pattern to the second page, and an n-th pattern to the n-th page.

The pattern assigned to each general diagnosis document may be matched with owner (eg, document creator) ID information, note ID information (eg, document information), and page ID information. The processor 170 may store the pattern matching diagnostic document in the memory 140 .

Owner ID information and note ID information are commonly matched to the pattern assigned to each of a plurality of pages, but page ID information may be matched individually.

Meanwhile, when the pattern matching diagnostic document is printed on paper, the pattern may be printed together with the content of the page. When writing on paper with a pattern printed on it with the electronic pen 300, information may be generated and provided to the electronic device 100.

The processor 170 may convert the pattern matching diagnosis document into a Portable Document Format (PDF) document.

The processor 170 may convert a PDF document into an image file. By converting PDF documents to image files, the usability of pattern matching diagnostic documents increases.

The processor 170 may receive handwriting information generated by recognizing a pattern of a pattern matching diagnostic document printed on paper from the electronic pen 300.

The processor 170 may obtain at least one of spacing information, pen pressure information, and execution time information according to the handwriting input on the pattern matching diagnostic sheet 410.

The processor 170 may derive a diagnosis result based on at least one of separation information, pen pressure information, and execution time information.

The processor 170 may accumulate/manage diagnosis results. The processor 170 may provide diagnostic results to the cognitive measurement subject. The processor 170 may cumulatively manage diagnosis results.

The above-described present invention can be implemented as computer-readable code on a program-recorded medium. Computer-readable media includes all types of recording devices that store data that can be read by a computer system. Examples of computer-readable media include HDD (Hard Disk Drive), SSD (Solid State Disk), SDD (Silicon Disk Drive), ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. There is. Additionally, the computer may include a processor or control unit. Accordingly, the above detailed description should not be construed as restrictive in all respects and should be considered illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

10: system
100: Electronic device, cognitive diagnosis performance device
300: Electronic pen
410: diagnostic paper

Claims (10)

memory to store baseline data for cognitive diagnosis;
a communication unit that receives handwriting information generated according to handwriting input on a diagnostic paper consisting of a plurality of pages each with a pattern formed therefrom, from an electronic pen; and
A processor that generates cognitive diagnosis result data by comparing the handwriting information with the reference data,
The processor,
The time is counted from the moment the electronic pen touches the first area of the diagnostic sheet, which is an area where personal information of the cognitive test subject is written, and the second area is an area where the last question of the cognitive test is written on the diagnostic sheet. After contact with the electronic pen and separation from the second area, the count is stopped when a preset time has elapsed to obtain information about the total time taken to perform recognition diagnosis,
Load a general diagnostic document in the form of a document file stored in the memory, receive data related to the pattern from a third party pattern providing device through the communication unit, and receive a pattern with a unique ID assigned to each page included in the general diagnostic document. Generate a pattern matching diagnostic document by assigning, - the unique ID includes author ID information, document ID information, and page ID information -
An apparatus for performing cognitive diagnosis using analog handwriting, wherein the pattern assigned to each of a plurality of pages has the same author ID information and document ID information, and different page ID information. According to clause 1,
The above written information is:
A cognitive diagnosis performing device using analog writing, wherein the nib of the electronic pen is in contact with the diagnostic paper while moving along the lines printed on the diagnostic paper and including information about the lines written on the diagnostic paper. According to clause 2,
The processor,
Comparing the printed line and the written line, measuring the separation between the printed line and the written line,
A cognitive diagnosis performing device using analog handwriting that generates the result data based on the separation degree. According to clause 1,
The above written information is:
A cognitive diagnosis performing device using analog handwriting including pen pressure information defined as the degree to which the pen tip of the electronic pen presses the diagnostic paper. According to clause 4,
The processor,
A cognitive diagnosis performing device using analog handwriting that generates the result data based on a comparison value generated by comparing the pen pressure information with a reference value. According to clause 1,
The above written information is:
A cognitive diagnosis performing device using analog writing that includes information about the time when the nib of the electronic pen was in contact with the diagnostic paper. According to clause 6,
The processor,
A cognitive diagnosis performing device using analog handwriting that generates the result data based on a comparison value generated by comparing the information about the time with a reference time. According to clause 1,
The processor,
A cognitive diagnosis performing device using analog handwriting that accumulates and stores the diagnosis result data in the memory. According to clause 8,
The processor,
A cognitive diagnosis performance device using analog handwriting that identifies trends in result values over time based on cumulatively stored diagnosis result data. delete