KR101698118B1 - Health condition estimation apparatus and method for tracking through the person's hand function - Google Patents

Abstract

The analysis of the input speed, accuracy, completion form, and correction information of the characters input through the input device (for example, a keyboard) can be used to estimate the health condition of the hand The present invention relates to an apparatus and method for estimating a health state through tracking of a hand function, comprising: an input device for receiving a character; A health condition estimating unit that compares input character information extracted from a character inputted through the input device with cumulative character information stored in a memory to estimate a health state including a function deterioration and brain cognitive information of the hand unit; And a display unit for displaying a result of estimating the health state estimated by the health state estimating unit, wherein the health state estimating unit estimates a health state of the human being based on the input speed, At least one or more of these are analyzed to estimate health status.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a health condition estimation apparatus and method,

More particularly, the present invention relates to a method for estimating a health state of a person by analyzing an input speed, an accuracy, a completion form, correction information, and the like inputted through an input device (e.g., a keyboard) And a method of estimating a health state of a person by tracking the function of a hand so as to estimate a health state such as a degree of perception of the brain.

The main input device of a computer is a keyboard. Until the speech recognition technology develops, a keyboard-based input device will become the mainstay. With the spread of smartphones and tablet PCs, people are not putting these devices in their hands, which can lead to diseases such as turtle neck syndrome and lumbar disc herniation.

Also, as you get older, your computer work becomes slower. If you know the basic problems of these people in advance and inform the users, you can prevent them or miss the timing of the treatment.

In addition, the importance of assessment of cognitive function and depressed function of handicapped and elderly people in the aging society is now emphasized.

If you know how to reduce the function of the hand or the cognitive impairment in advance and inform the user, you can prevent it or miss the timing of the treatment.

Various methods for evaluating cognitive function have been studied and proposed, and prior art has been disclosed for evaluating cognitive ability in the following Patent Document 1.

The prior art disclosed in Patent Document 1 includes an operation data receiving unit for receiving operation data on a physical operation of a user who operates a physical object and a physical object from the physical object, an operation element for extracting at least one operation element from the operation data A cognitive capability evaluation unit for evaluating a cognitive ability level of a user by applying an extraction unit and at least one extracted operation element to at least one cognitive performance evaluation element, and an evaluation method using the same do.

Korean Registered Patent No. 10-1447563 (Registered on September 29, 2014)

However, since the conventional technique as described above evaluates the cognitive ability based on the operation data of the user, a plurality of sensors (acceleration and tilt) for sensing the operation data are required, and a camera And image processing apparatuses are required. Therefore, there is a disadvantage that the cognitive capability evaluation system is complicated and the system implementation cost is high.

SUMMARY OF THE INVENTION Accordingly, the present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and apparatus for analyzing input speed, accuracy, completion form, correction information, etc. of a character input through an input device And to provide a device for estimating a health state of a person by tracking a hand function of the person so as to estimate a health state such as a degree of depression of the hand and a degree of perception of the brain.

Another object of the present invention is to provide a method and apparatus for analyzing input errors and character completion rates based on past character input information when a character is input through an input device, And a method thereof.

According to an aspect of the present invention, there is provided an apparatus for estimating a health state of a human by tracking a hand function of a human being, the apparatus comprising: A health condition estimating unit that compares input character information extracted from a character inputted through the input device with cumulative character information stored in a memory to estimate a health state including a function deterioration and brain cognitive information of the hand unit; And a display unit for displaying an estimated result of the health state in the health state estimating unit,

The health state estimating unit estimates a health state by analyzing at least one of a character input speed, an error state, and a completion state.

In this case, the input device uses a keyboard, and the user first inputs identification information for identifying the user before inputting the health state estimation character.

The health state estimating unit includes an input module for receiving characters output through the input device; And an input speed measuring module for measuring an input speed of characters input through the input module.

The health state estimating unit may further include an error character analyzing module for analyzing whether the character inputted through the input module is erroneous.

The error character analyzing module analyzes an error using the number of erroneous characters of the inputted character and the accuracy of erasure.

The health state estimating unit may further include a completion type analyzing module for analyzing the completion type of the characters input through the input module.

The completion type analysis module analyzes the completion type by analyzing which phoneme is added to the deleted character when the input character is deleted and re-input is performed.

The health state estimating unit may include speed information obtained by comparing an input speed of the character measured by the input speed measuring module with an average speed of the same character registered in advance, error information of the character acquired by the error character analyzing module, And a health state estimation module for estimating a health state by evaluating cognitive information of the brain and the function of the hand part based on the character completeness information obtained by the completion form analysis module.

The health state estimation module analyzes an error of a character input and notifies a user through a pop-up when an error frequently occurs only in a specific line of the keyboard.

The health state estimating unit includes a user recognizing module for recognizing a user by recognizing a user identification character first inputted through the input module.

The display unit displays a graph of an average input speed and a current input speed of each character and displays information on the number of deleted characters in a graph with respect to a character that generated an error.

According to an aspect of the present invention, there is provided a method for estimating a health state by tracking a hand function of a human being, the method comprising: (a) executing a health state estimation application stored in a memory and receiving a character; (b) measuring the speed of the input character; (c) analyzing whether the inputted character is erroneous or not; (d) analyzing a completion form of the input character; (e) estimating a health state of the user based on the character input speed information, the error check result information, and the character maturity information obtained in the steps (b) to (d); (f) displaying a health state estimation result estimated in the step (e).

In addition, the method for estimating a health condition by tracking a hand function of a human according to the present invention may further include the steps of (g) intervening between the step (a) and the step (b) And recognizing the user on the basis thereof.

According to the present invention, it is possible to estimate a health condition such as a user's hand function problem and a cognitive function problem using only analysis of a character input through an input device.

In addition, since the health state can be estimated using only the character input through the input device, the cognitive performance evaluation system can be simply implemented.

In particular, it is possible to reduce the implementation cost of the evaluation system by eliminating a plurality of sensors (acceleration and tilt) for detecting the existing operation data and a camera and an image processing apparatus for making the operation state of the user into an image.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a health state estimating apparatus according to a preferred embodiment of the present invention,
FIG. 2 is a block diagram of an embodiment of the health state estimating unit of FIG. 1;
FIG. 3 is a graph illustrating a result of measurement of a character input speed in the present invention,
FIG. 4 is a graph showing an error character analysis result in the present invention,
FIG. 5 is a flowchart illustrating a method of estimating a health state by tracking a human hand function according to a preferred embodiment of the present invention. FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an apparatus and method for estimating a state of health of a human according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a block diagram of a health state estimation apparatus for tracking a human hand function according to a preferred embodiment of the present invention.

The health state estimating apparatus according to the present invention includes an input device 110, a health state estimating unit 120, a memory 130, a display unit 140, and a power supply unit 150.

The power supply unit 150 serves to supply the driving power using the input commercial power or to supply the driving power through the battery.

The input device 110 receives a character for tracking a human hand function.

The input device 110 may be an input device such as a keyboard, a touch pad capable of inputting characters directly to the pad, or the like, as well as any input device capable of inputting characters. In the present invention, the input device is regarded as a keyboard for convenience of explanation.

Preferably, the user first inputs the user identification character, which is identification information for identifying the user, before inputting the health state estimation character through the input device 110. [ Preferably, the identification information for identifying the user is one of a user name, a unique number (ID), and a password (PW).

The memory 130 stores a health state estimation application for analyzing inputted characters to estimate a health state of a person, cumulative character information including previously measured character input speed information / error information / completion type information do.

The display unit 140 serves to display a result of the health state estimation estimated by the health state estimating unit 120. [ The display unit 140 preferably uses a display device such as a liquid crystal display (LCD). Here, it is preferable that the display unit 140 graphically displays the average input speed and the current input speed of each character, and displays information about the number of deleted characters in a graph with respect to the character that caused the error.

The health state estimating unit 120 compares the input character information extracted from the character input through the input unit 110 with the accumulated character information stored in the memory 130 to compare the accumulated character information stored in the memory 130 with the health state information .

It is preferable that the health state estimating unit 120 estimates a health state by analyzing at least one of a character input speed, an error state, and a completion state.

As shown in FIG. 2, the health state estimating unit 120 includes an input module 121 for receiving characters output through the input device 110; An input speed measurement module 122 for measuring an input speed of characters input through the input module 121; An error character analyzing module (123) for analyzing the error of characters input through the input module (121); A completion type analysis module (124) for analyzing the completion form of characters inputted through the input module (121); And speed information obtained by comparing an input speed of the character measured by the input speed measurement module 122 with an average speed of the same character registered in advance, an error information of the character acquired by the error character analysis module 123 A health state estimation module 125 for estimating the health state by evaluating the function of the hand part and the cognitive information of the brain based on the character completeness information obtained by the completion form analysis module 124; And a user recognition module 126 for recognizing a user by recognizing the user identification character first input through the input module 121. [

Preferably, the error analysis module 123 analyzes an error using the number of erroneous characters and the degree of erasure of the inputted character, and the completion type analysis module 124 deletes the input character and re- It is desirable to analyze the completion form by analyzing which phoneme is added to the deleted character.

In addition, the health state estimation module 125 analyzes an error of a character input, and informs the user through a pop-up when an error frequently occurs only in a specific line of the keyboard.

The operation of the apparatus for predicting the health state 100 of the human hand function according to the preferred embodiment of the present invention will now be described in detail with reference to FIGS. 1 to 4. FIG.

First, when driving power is supplied to the health state estimating apparatus 100 through the power unit 150, the health state estimating unit 120 fetches the health state estimation application stored in the memory 130 .

Then, when the character information is inputted through the input device 110 using the health state estimation application, the health state estimating unit 120 analyzes the input character information and estimates the health state of the user.

Here, the health status of the specific user can be accurately estimated by using only a particular keyboard of the input device 110, but the input device 110 may be used by several users. In this case, you should use the keyboard to distinguish who is entering the characters. There are many ways to distinguish users, and users can use the input pattern, but in this case, a complex algorithm that can distinguish input patterns is needed. Accordingly, in the present invention, in order to accurately identify a user even without a complicated algorithm, a user identification character, which is user identification information, is input first. It is preferable that the user identification information is set in advance, or one of information such as a user name, a unique number (ID), and a password (PW) is set in advance.

When a character is input through the input device 110, the user recognition module 126 of the health state estimation unit 120 extracts only characters corresponding to the user identification information that is set in advance among the input characters. For example, when the user identification information is set to a name, only three characters are extracted as the user identification characters from the first character inputted. Since the name may be more than 4 characters, more characters can be extracted as the user character in consideration of this.

The extracted user identification character is recognized through normal character recognition, and the recognition result is compared with the user identification information stored in the memory 130 to confirm whether or not there is matching user identification information. If there is user identification information corresponding to the user identification character recognized as a result of the check, the user identification information is input to the input speed measurement module 122, the error character analysis module 123, the completion form analysis module 124, Module 125 to distinguish who the current user is.

In this method, a simple algorithm for user identification should be added. However, in the present invention, it is assumed that only one person continuously uses the input device 110 .

When a character for tracing a user's hand function is input through the input device 110, the input module 121 receives the input character, and the input speed measurement module 122, the error character analysis module 123, the completion type analysis module 124, Respectively.

The input speed measurement module 122 measures the input speed of the inputted character (for example, a time for inputting the characters 'a', 'a', and 'o' And stores it as input speed information in the health status estimation module 125 and simultaneously transmits it to the health status estimation module 125. At this time, the input speed information is preferably measured for one character, and the input speed information for one character measured is stored.

Next, the error character analyzing module 123 analyzes whether the character inputted through the input module 121 is erroneous or not. Here, it is determined whether or not the character is erroneous, whether or not the inputted character is erroneous, the number of erroneous characters on the predetermined number of input characters (for example, the number of erroneous characters per 50 characters), the number of erased characters, And the accuracy of the erasure of whether or not to erase the data. And transmits the result of the error or failure analysis to the health state estimation module 125.

In addition, the completion type analysis module 124 analyzes the completion type of the characters inputted through the input module 121. FIG. That is, when the input character is deleted and re-input is performed, the completion type analysis module 124 analyzes the completed form by analyzing which phoneme is added to the deleted character, .

The health state estimation module 125 compares the input speed of the character measured by the input speed measurement module 122 with the average speed of the same character registered in advance and determines the speed of the inputted character. For example, the health state estimation module 125 compares the input speed of the currently measured character with the average speed registered in advance for the character, and if the difference is large, it is determined that the health state is abnormal and informs the user. Here, it is preferable to set a criterion for determining the difference in advance. If it is determined that the input speed of the input character is slower than the average speed, it is likely that the input speed is lowered due to the condition of the user's body or the joint pain, so that the input speed is informed in real time using a popup window. At this time, when the user requests confirmation through a pop-up window, the graph of the speed measurement result is displayed in a graph form as shown in FIG. Here, when the input character is "A", the left graph is the average speed and the right graph is the current input speed. The user can view the input speed information, check his or her health condition, joint pain, etc., and quickly visit the hospital or the like to take follow-up measures to prevent the illness from growing or getting worse.

In addition, when the speed information analysis for the input character is completed, the health state estimation module 125 accumulates the speed information of the currently measured character in the previous average speed information, calculates the average speed information again, and stores it in the memory 130 . The average speed information thus stored is used as cumulative character information for analysis in the future when the corresponding character is input.

On the other hand, the health state estimation module 125 estimates the health state of the user based on the error character analysis information obtained through the error character analysis module 123.

For example, if the user's finger is weak and the letter is incompletely completed, it is deleted and the correct letter is entered again. The health state of the user is estimated by using the obtained information. It is desirable to estimate the health status based on the number of erroneous characters, the number of deletions, and the accuracy of erasing the completed character (a measure to confirm to what extent the erasure is deleted). It is desirable to use the results of clinical experiments to estimate health status.

4 is a graph showing the number of characters to be deleted for the character. For example, when the phoneme to be deleted is 'A', the left graph represents the number of times of accumulation of accumulated time, and the number of times that the graph on the right is deleted when the current character is input. It is desirable that the number of deletion is analyzed in units of a case where a certain number of characters is input. For example, an error character analysis can be performed every 50 characters. The fifty characters are merely examples, and the present invention is not limited thereto, and the number of characters can be freely set.

Referring to FIG. 4, it can be seen that the number of deletions is increased for the phoneme 'a', that for the phoneme 'b', and the number of deletion is decreased for the phoneme 'c'.

Based on these results, the health status of the user is estimated, and the user is informed of the health status of the user so that the user can receive the accurate examination promptly.

In addition, if the number of letters to be deleted is larger than usual, the user is informed of the fact that the characters are already completed correctly. If the text is high in completeness, but frequent deletion, there is a possibility of deterioration of concentration and deterioration of the frontal lobe.

Likewise, the error character analysis information is accumulated in the previously accumulated error character analysis information so that it can be used as statistical information.

On the other hand, the health state estimation module 125 estimates the health state of the user based on the completed state analysis information obtained by the completed state analysis module 124.

"이라고 'ㄱ'이라는 글자가 빠지면 이를 입력받아 그러한 실수가 자주 발생하는지 파악한다. 글자를 입력할 때 "

"이라고 입력할 경우 정확한 글자가 어떤 자인지 알 수 없다. 대신 이 글자를 지우고 "강"이라고 입력할 경우, 'ㄱ'의 입력을 실수한 것임을 알 수 있다. 이렇게 특정 문자를 삭제하고 다시 문자를 입력했을 때, 문자를 바탕으로 삭제한 문자에 어떤 음소가 입력되지 않았는지를 분석하여 메모리에 저장해둔다. 아울러 문자가 틀렸을 때 다시 수정하는 시간을 측정하고, 이를 건강상태 추정에 이용하도록 한다.For example, when entering a character called "

"If the letter" a "is missing, input it and determine if such mistakes occur frequently. When entering letters,

"If you type" Kang, "you will see that you mistakenly typed" A. "If you delete a specific character and then type it again, When a character is entered, it is analyzed to determine which phoneme is not entered in the deleted character, and the time is corrected again when the character is wrong, and it is used for the estimation of the health condition.

That is, based on the result of the completion type analysis as described above, if an input of an incomplete character occurs frequently, it indicates whether there is a problem (nerve damage, etc.) on the finger. In addition, when the character is wrong, it uses the time information to revise it, and notifies the user whether there is a problem in recognition.

In addition, if there is a finger input line (keyboard reference) (for example, I, b, and I) which is more mistaken than usual, the user is informed through a pop-up window to let the user recognize the finger input line.

The health state estimation result is displayed through the display unit 140 so that the user can easily recognize the health state.

FIG. 5 is a flowchart illustrating a method of estimating a health state by tracking a human hand function according to the present invention, wherein S represents a step.

As shown in the figure, when the power supply is made in step S10, the health state estimation application stored in the memory is extracted and executed, and in step S20, the character is input.

Next, in step S30, the input character is recognized and if it is a user identification character, the user is recognized on the basis thereof. Here, step S30 may be omitted as necessary.

Thereafter, in step S40, the speed of the inputted character is measured. In step S50, whether or not the inputted character is erroneous is analyzed. In step S60, the completed character of the inputted character is analyzed. Here, the speed measurement of the character, the analysis of the error of the input character, and the analysis of the completion form of the character are performed in the same manner as the well-known input speed measurement process, error character analysis process and completion type analysis process, A detailed description thereof will be omitted.

Next, in step S70, the health state of the user is estimated based on the character input speed information, the error check result information, and the character maturity information, respectively, and the estimated health state estimation result is displayed on the screen in step S80.

In this case, the estimation of the health condition can be estimated as a decrease in the input speed due to the physical condition or the joint pain when the typing speed is slower than usual, and when the number of characters that are not completely completed increases, Can be estimated. In addition, the completion of the text is high, but frequent deletion can lead to a loss of concentration and a reduction in frontal lobe dysfunction.

The present invention as described above can be applied to a keyboard or the like when using a keyboard or an input device such as a keyboard, a keyboard, a keyboard, a keyboard, or the like, Or whether the overall input speed is slow or not.

In addition, if the user thinks that a problem has occurred (slowing down, increasing the number of mistakes), it informs the user whether the problem is a hand function or a cognitive function.

Although the present invention has been described in detail with reference to the above embodiments, it is needless to say that the present invention is not limited to the above-described embodiments, and various modifications may be made without departing from the spirit of the present invention.

The present invention is applied to a technique for analyzing a health condition such as a user's physical function abnormality or a decrease in cognitive function by inputting a character using an input device.

100: Health condition estimation device through human hand function tracking
110: input device
120: Health status estimation unit
121: input module
122: input speed measuring module
123: Error character analysis module
124: Completion type analysis module
125: Health status estimation module
126: user recognition module
130: memory
140:

Claims (13)

An input device for inputting characters;
A health condition estimating unit that compares input character information extracted from a character inputted through the input device with cumulative character information stored in a memory to estimate a health state including a function deterioration and brain cognitive information of the hand unit; And
And a display unit for displaying an estimated result of the health state in the health state estimating unit,
Wherein the health state estimating unit estimates a health state by analyzing at least one of a character input speed, an error state, and a completion state,
Wherein the health state estimating unit comprises: an input module for receiving characters output through the input device; An input speed measuring module for measuring an input speed of a character input through the input module; A completion type analysis module for analyzing the completion form of characters inputted through the input module; And an error character analyzing module for analyzing whether or not the character inputted through the input module is erroneous.
The health state estimating apparatus according to claim 1, wherein the input device uses a keyboard, and the user inputs identification information capable of identifying the user before inputting the health state estimation character.
delete delete The apparatus according to claim 1, wherein the error character analyzing module analyzes an error using an accuracy of the number of erroneous characters and the degree of erasure of an input character.
delete The method according to claim 1, wherein, when the input character is deleted and re-input is performed, the completion type analyzing module analyzes the completion type by analyzing which phoneme is added to the deleted character, State estimator.
The health state estimating unit may calculate the health state based on the speed information obtained by comparing the input speed of the character measured by the input speed measuring module and the average speed of the same character registered in advance, Further comprising a health state estimation module for estimating a health state by evaluating the functional information of the hand part and the cognitive information of the brain based on the result information and the character completeness information acquired by the completion form analysis module, A device for estimating health condition through tracking.
[8] The health state estimation module of claim 8, wherein the health state estimation module analyzes an error of a character input, and notifies a user through a pop-up when a plurality of errors occur only in a specific line of a keyboard. Device.
The health state estimating apparatus according to claim 8, wherein the health state estimating unit further comprises a user recognizing module for recognizing a user by recognizing the first user input character through the input module.
Wherein the display unit displays the average input speed and the current input speed for each character in a graph and displays information about the number of deleted characters in a graph for the character that caused the error. A device for estimating a health condition through.
A method for estimating a health condition through human hand function tracking,
(a) executing a health condition estimation application stored in a memory and receiving a character;
(b) measuring the speed of the input character;
(c) analyzing whether the inputted character is erroneous or not;
(d) analyzing a completion form of the input character;
(e) estimating a health state of the user based on the character input speed information, the error check result information, and the character maturity information obtained in the steps (b) to (d); And
(f) displaying a result of the estimation of the health state estimated in the step (e).
The method as claimed in claim 12, further comprising the step of (g) recognizing the user based on the input character recognized when the input character is recognized between the step (a) and the step (b) Wherein the identification character is user identification information.

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