KR20180088302A - Method and system for screening of attention deficit hyperactivity disorder by robot - Google Patents

Abstract

The present invention provides a method for selecting attention deficit hyperactivity disorder (ADHD) in a system including a robot, the method which suggests content (game) capable of collecting behavioral response of a subject through visual/auditory stimulation by using the robot so as to determine carelessness, hyperactivity and an execution function and collects data generated when performing a task through the content, thereby objectively selecting ADHD. The method comprises the following steps: executing content stored in a database to suggest a problem; measuring behavior of a user for the problem by using at least one sensor; storing the measured behavioral information of the user in the database; and scoring the stored behavioral information of the user according to an ADHD selection reference, and performing ADHD selection.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for selecting an attention deficit hyperactivity disorder (ADHD)

The present invention relates to a method and system for selecting ADHD through a robot, and more particularly, to a method for measuring behavior response data using a robot and a method for selecting ADHD (Attention Deficit Hyperactivity Disorder) .

Attention deficit hyperactivity disorder (ADHD) is the most commonly observed psychiatric disorder in school or school age, and is characterized by inattention, hyperactivity, and impulsivity. If a student is distracted by excessive attention, excessive activity, or impulsiveness, he / she may cause various behavior problems such as depression and antisocial personality disorder caused by low self-esteem due to low academic achievement in school age. The problem may continue.

The Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) standard classifies ADHD into three main types. First, the most common type of complex type, in which the symptoms of attention deficit and hyperactivity are all present. Second, lack of attention is the dominant type. Third, hyperactivity - impulsive behavior is classified as dominant type.

The main symptom in ADHD children is hyperactivity and attention deficit, which is a common symptom in children with ADHD or other diseases and normal development. Therefore, the general diagnosis of ADHD is based on a comprehensive set of diagnostic tools such as growth and development, past illnesses, parental interviews, medical assessment including physical and neurological tests, cognitive assessment, behavioral assessment scales developed by parents and teachers, Evaluation, and there is a problem that the observation between the parents and the teacher is different or the symptom can not be clearly distinguished in various situations.

(Game) that can collect the behavioral response of the subject through visual / auditory stimulation so as to judge the carelessness, hyperactivity, and executive function of the subject, To collectively screen for ADHD disorders.

According to an aspect of the present invention, there is provided a method for selecting an ADHD disorder in a system including a robot, the method comprising: performing contents stored in a database to present a problem; Storing the measured behavior information of the user in a database, and scoring the stored behavior information of the user according to an ADHD selection criterion to perform ADHD fault screening.

According to an embodiment of the present invention, executing the content stored in the database and presenting the problem may include presenting the problem through at least one of the display, the speaker and the movement of the robot.

According to an embodiment of the present invention, the score to be the ADHD selection criterion may include a performance score of the question, a reaction score to the stimulus, a time score regarding the reaction, and a score for the deviation behavior.

According to an embodiment of the present invention, the step of executing a content stored in a database and presenting a problem may include a step of presenting a path through which the robot moves on a square board disposed on the floor, Step < / RTI >

According to an embodiment of the present invention, the step of presenting a problem that can be solved in the square board may include randomly presenting one or more stimuli.

According to an embodiment of the present invention, the step of scoring the stored behavior information of the user according to an ADHD selection criterion to perform the ADHD fault screening may include: And performing ADHD disorder screening based on at least one of the following: whether or not the response to the at least one stimulus is to be performed, whether or not to perform the required response to the one or more stimuli, the time of response and the deviant behavior response.

According to an embodiment of the present invention, the step of executing a content stored in a database to present a problem may include repeatedly presenting a problem according to a plurality of steps.

According to an embodiment of the present invention, the at least one sensor may include a motion recognition sensor.

According to another aspect of the present invention, there is provided a system including a robot for selecting an ADHD disorder, comprising a database, at least one sensor for measuring a behavior of a user, and a program control unit, Displaying the behavior information of the user in the database by performing the stored contents to present a problem, measuring the behavior of the user with respect to the problem using the at least one sensor, storing the measured behavior information of the user in the database, ADHD screening criteria are used to score the ADHD disorder.

According to an embodiment of the present invention, there is further provided a display and a speaker, wherein the program control unit can present a problem through at least one of the display, the speaker and the movement of the robot.

According to an embodiment of the present invention, the program control unit may present a path through which the robot moves on a square board disposed on the floor, and present a problem that can be solved in the square board.

According to an embodiment of the present invention, the program control unit may randomly present one or more stimuli.

According to an embodiment of the present invention, the program control unit determines whether success or failure of a problem that can be solved based on a path on which the robot moves on the square board, whether or not a desired response to the one or more stimuli is performed, Time and deviant behavioral responses can be performed based on one or more of the ADHD disorder screening.

According to an embodiment of the present invention, the program control unit can repeatedly present a problem according to a plurality of steps.

The present invention can more objectively select the ADHD disorder and present the results by evaluating the behavioral response using the robot and the content (game) in order to select whether or not the ADHD disorder of the subject is measured. In addition, a new classification standard (system) based on the characteristics of groups to be grouped in the future can be constructed through the user database constructed according to the present invention, and it can be used as objective data in the future screening of faults.

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

Figure 1 illustrates the structure of a system for screening for ADHD disorders according to one embodiment of the present invention.
Figure 2 shows a flow diagram of a method for screening for ADHD disorders using a robot in accordance with an embodiment of the present invention.
Figure 3 illustrates a square board for content for evaluation to screen for ADHD disorders according to one embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

The system for selecting an ADHD via a robot in accordance with embodiments may be entirely hardware, or may be partly hardware and partly software. For example, a system for selecting an ADHD via a robot may be collectively referred to as a device for sending and receiving data of a specific format and contents through an electronic communication method and related software. The terms "module," "server," "system," "device," or "terminal" are used herein to refer to a combination of hardware and software driven by that hardware. For example, the hardware may be a data processing device comprising a CPU or other processor. Also, the software driven by the hardware may refer to a running process, an object, an executable, a thread of execution, a program, and the like.

Figure 1 illustrates the structure of a system 100 for screening for ADHD disorders according to one embodiment of the present invention. 1, the structure of the system 100 includes a program control 110, one or more sensors 120, a robot platform 130, a display 140, a speaker 150, and a database 170 .

The program control unit 110 may include one or more of a central processing unit (CPU), an application processor (AP), or a communication processor (CP). The program control unit 110 may perform, for example, operations or data processing relating to control and / or communication of at least one other component of the system 100. For example,

The program control unit 110 controls the robot platform 130 for ADHD testing based on the content information received from the database 170 and displays the display 140 and the speaker 150 Can be controlled. Also, the program control unit 110 can process information about the user's reaction measured using the sensor 120. [ The program control unit 110 can directly classify the ADHD classification information using the ADHD selection criterion information or the information about the user reaction measured by the external server.

The sensor 120 may include various kinds of sensors for motion recognition, for tracking user behavior and playing back behavior data as the content is executed. For example, a three-dimensional depth sensor or similar sensor including a red-green-blue (RGB) camera may be included to extend the recognition range. At this time, the depth camera collects three-dimensional depth information of the front of the sensor and can be a camera capable of capturing an RGB image. If the RGB image can not be acquired simultaneously by the 3D depth sensor, it may include an image acquisition camera that can be synchronized with the depth sensor. In addition, the system may use measurement data acquired by a user using an external motion recognition sensor. In this case, the system may not include a motion recognition sensor.

The database 170 includes a user database 172 associated with at least one of a content database 171 associated with the game information, user information, measurement information (behavior information) and classification information, and an ADHD classification database 173 associated with the ADHD selection criteria ). ≪ / RTI > The content database 171, the user database 172 and the ADHD classification criteria database 173 may be included in the system 100 or may be provided in an apparatus outside the system 100. When the database 170 exists externally, the program control unit 110 can control to receive at least one of content, user information, measurement information (behavior information), classification information, and data on the ADHD classification criteria from the external database have.

2 illustrates a flow diagram of a method for diagnosing ADHD disorders by a system 100 for screening ADHD disorders according to an embodiment of the present invention. Referring to FIG. 2, a method for selecting an ADHD fault includes a user information registration step S201, a content execution step S203, a content description step S205 by a robot, a problem presentation step S207 by a robot, (Step S209), a behavior information storage step S211 measured at the time of executing the game, another content selection determination step S213, and an ADHD classification and result storage step S215.

First, as a preparatory step for ADHD evaluation, information of a user is registered (S201). For example, information including personal information such as an identification number, name, gender, age, educational background, and the like of the subject to be evaluated for the ADHD disorder can be input through the input interface 160 and stored in the user database 172 .

Next, the content to be provided to the user is executed (S203). According to one embodiment of the present invention, game information can be derived from the content database 171 and the game can be executed. The content to be executed may be changed according to the user information registered in the previous step S201. For example, one or more of the type, content, and degree of difficulty of the content to be executed based on at least one of the user's sex, age, and education level can be determined.

Thereafter, the robot describes the contents to the user (S205). For example, a game progress method in which the sensor 120 recognizes a user and a robot is executed can be described.

Next, the robot presents the problem to the user (S207). According to one embodiment of the present invention, the robot can present a problem provided in the content so as to evaluate the behavior of the user. According to an embodiment of the present invention, the content may be composed of several steps (for example, one to three steps), and the robot may repeatedly present the problem to the user at each step.

Then, the user proceeds the game (S209). That is, the user performs a game of the problem given by the robot, and the robot can measure the behavioral response of the user using the sensor 120 or the like. According to an embodiment of the present invention, the content may be composed of several steps (for example, 1 to 3 steps), and it may be determined that the execution of the corresponding content is completed after all the steps provided in one content are performed. According to another embodiment, the user can request selection of the progress of the next step every time the execution of each step of the contents composed of several stages is finished. At this time, the system 100 can measure all of the user's behavioral responses to the game performance at each step.

Next, the action information measured at the time of executing the game of the user is stored (S211). For example, behavior data generated at the time of game execution of the user and stimulus response data for inattention, hyperactivity, and execution function may be collected and stored in the user database 172. The collected data may be transmitted to an external server and stored in an external storage device according to an embodiment.

Then, it is determined whether another content is selected (S213). For example, the robot judges whether or not the user game execution by the executed contents is completed and the other contents are performed. If another content is selected, the process returns to step S203 to execute the content. If another content is not selected, the flow advances to step S215. This determination step may be omitted.

Finally, if no other contents are selected, ADHD is classified according to the measured behavior information and the result is stored (S215). For example, the behavior information data stored in the user database 172 may be analyzed using the ADHD selection criteria of the ADHD classification criteria database 173, the ADHD disorder may be selected / diagnosed, and the results may be stored.

As described above, the system 100 allows the above-described game (content) to solve a given task to be performed using clues presented to the user through visual and auditory sense, , And a method of acquiring and analyzing deviating behaviors are provided. At this time, deviant behavior refers to behaviors or reactions that deviate significantly from the peer's general criteria.

Figure 3 shows a square board 300 for evaluation content for screening for ADHD disorders according to an embodiment of the present invention.

Referring to FIG. 3, the user selects a content to be selected and executed, and waits outside the square board 300. After confirming the path through which the robot moves, the content is moved into the square board 300, The content of the content to be solved. In this embodiment, the environment configuration of the content is such that the sensor 120 (e.g., a motion recognition sensor) is located on the front side, and the floor may be in the form of a square board 300, Accordingly, the movement and the behavior of the evaluation subject can be measured. The arrangement of the numbers and the starting point 301 and the ending point 303 in the square board 300 shown in Fig. 3 is merely an example, and these arrangements may vary according to various embodiments.

The content for evaluation is displayed on the screen as a 'wolf' or a 'neighbor' for visual / auditory stimulation, and can call a person to be evaluated. In addition, a total of three stages of the game, except for the exercise, may be presented to the person to be evaluated. The exercise may be presented in the same manner as in step 1, and steps 1 to 3 may have a difference between the number of times of the movement path and the number of times of stimulation. Here, the movement path may be a path that is moved in the square board 300 in which the numbers from 1 to 6 are written including the starting point 301 and the ending point 303, which are a total of nine columns of three columns by three columns by three columns. Reactions to stimuli can be divided into regular reaction, misrecognition, and miss reaction. A positive reaction can be defined as a behavior that is performed correctly according to the stimulus, an erroneous response as a behavior that is performed incorrectly for the stimulus, and a missing response as an action that is not performed for the stimulus.

Also, the movement path is randomly presented and can be presented in left / right / up / down / diagonal.

In step 1, the evaluation content may proceed in the order of "start - first number - second number - third number - end". Also, one stimulus can be presented to the user at random.

In step 2, the evaluation content may proceed in the order of "start - first number - second number - third number - fourth number - end". Also, one stimulus can be presented to the user at random.

In step 3, the evaluation content may proceed in the order of "start - first number - second number - third number - fourth number - fifth number - end". Also, two stimuli can be presented to the user at random.

In order to diagnose the disorder of the suspected ADHD, the above method objectively presents the results through the evaluation of the behavioral reaction using the robot and the contents (game), and furthermore, by using the user database constructed by the above method, It is possible to construct a new selection criterion (system) based on the characteristics of the group, and it is aimed to utilize it as objective data in the diagnosis of the fault in the future. Therefore, a criterion for segmenting and classifying the behavior of the user corresponding to the contents contents have. The table below shows scores that serve as a basis for selecting content content and ADHD disorders therefor, according to some embodiments.

Contents 1. Move the route
1) Success If you stepped on the number of routes presented by the robot at the starting point and moved to the destination 2) Failure If the robot does not remember the number of the route suggested by the robot at the starting point, the time exceeds the time limit, 2. Stimulation Reaction Score
(n / 4) 1) The number of cases (wolf is squatting, hugging neighbors in one arm) against stimulus (wolf / neighbor) 2) O reaction Number of cases of false responses to stimuli (wolf / neighbors) (event recording method) 3) Missing The number of missed and failed reactions to the stimulus (wolf / neighbor) 2. Time Score 1) Starting reaction time From the starting point to the point at which you release your foot after the start of "Let's do it now" (reaction time recording) - Three measurements at the beginning of each phase 2) stimulation reaction time After the sound of "Red cloak" was heard, response to the stimulus was performed and until the reaction sound was confirmed (reaction time recording method)
- A total of 4 measurements can be recorded once per step by measuring the response time for each step 3) Task completion time After the start sound, measure the time from the release of the foot (from the time after the start reaction time) to the point at which the foot reaches the end point (duration recording method). - A total of 3 measurement records 3. Deviation Behavior Score 1) Teacher reference (5-second interval) - Cut off 5 seconds for the whole time and show + for all parts and measure the ratio for the whole section 2) Body movements during waiting When the robot is explaining or demonstrating (ie, in a description and practice game), the child moves the body (5 second interval) - Description and practice During the game time, cut off every 5 seconds to show + Measures the ratio to the interval 3) Waiting Horse (5 seconds interval) when the robot is explaining or demonstrating (ie, in the description and practice game) - Description and practice During the game time, cut off every 5 seconds to show + The ratio to 4) Move before start instruction Attempt to move to the beginning of the robot before the cement (event recording method n / 3) - There are 3 game starts in total. 5) Attempts to react to the regular reaction of stimulus (N / 4) - The frequency of the behavior that caused the misrecognition before the stimulation in the first, second, first, second, third, and fourth sessions. Measured 6) Route modification (Number of Paths 4), Level 4 (Number of Paths 5), Level 3 Number of Paths (Number of Paths) 6) to measure the frequency of actions that were attempted to be mistaken on a total of 15 paths 7) Moving sound before moving Attempts to move before a moving note in a license plate (event recording n / 15) - As in the case of path modification, the frequency of actions to move before a moving sound in a total of 15 paths is measured 8) Not performed after start instruction Behavior that does not move even after cement of the starting point of the robot (event recording method n / 3) - There are 3 game starts,

As described above, unlike the conventional ADHD screening method, which is performed by a doctor at the judgment of a parent and a teacher, which are found through observations of carelessness and hyperactivity symptoms, carelessness and hyperactivity, The content (game) for observing the reaction can be presented through the robot, and the obstacle of the user can be scored and analyzed objectively based on the 3D position information and the reaction information of the user who acts according to the teaching information.

The robot selection method and the system operation of the ATD mediated by the robot according to the embodiments described above can be at least partially implemented in a computer program and recorded on a computer readable recording medium. A recording medium according to embodiments records a program for implementing at least one operation of a system and a method for selecting an attention deficit hyperactivity disorder through a robot, and the recording medium may store data that can be read by a computer Lt; RTI ID = 0.0 > a < / RTI > For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like, and also includes a carrier wave (for example, And the like. Also, the computer-readable recording medium may be distributed over a networked computer system so that the computer readable instructions (i.e., code) may be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present embodiment may be easily understood by those skilled in the art to which this embodiment belongs.

While the invention has been shown and described with reference to certain embodiments thereof, it will be understood by those skilled in the art that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. However, it should be understood that such modifications are within the technical scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

As appropriate, the terms used in the singular include also plural, and vice versa. Use "one" means "more than one" unless the use of the term "one or more" The use of the term "or" means "and / or" unless otherwise stated.

Claims (16)

CLAIMS 1. A method for screening an ADHD disorder in a system comprising a robot,
Executing content stored in a database to present a problem;
Measuring a user's behavior on the problem using one or more sensors;
Storing the measured behavior information of the user in a database; And
And scoring the stored behavior information of the user according to an ADHD selection criterion to perform ADHD disorder selection. The method according to claim 1,
The step of executing a content stored in a database and presenting a problem,
And presenting the problem through one or more of a display, a speaker, and a movement of the robot. The method according to claim 1,
The ADHD selection criteria score includes the performance score of the question, the response score to the stimulus, the time score on the response, and the score for the deviation behavior. The method according to claim 1,
The step of executing a content stored in a database and presenting a problem,
Presenting a path through which the robot moves in a square board disposed on the floor, and presenting a problem that can be solved in the square board. 5. The method of claim 4,
The step of presenting a solvable problem in the square board comprises:
And randomly presenting at least one stimulus. 6. The method of claim 5,
The step of scoring the stored behavior information of the user according to an ADHD selection criterion to perform the ADHD fault selection includes:
Based on at least one of success or failure of a problem that can be solved based on a path on which the robot moves on the square board, whether or not a reaction required for one or more stimuli is performed, a reaction time, and a deviant behavior response The method comprising the steps of: < RTI ID = 0.0 > ADHD < / RTI > The method according to claim 1,
The step of executing a content stored in a database and presenting a problem,
And repeating the steps according to a plurality of steps to present a problem. The method according to claim 1,
Wherein the at least one sensor comprises a motion recognition sensor. A system comprising a robot for ADHD disorder screening,
database;
One or more sensors for measuring a user's behavior; And
And a program control unit,
Wherein the program control unit comprises:
Performing a content stored in the database to present a problem, measuring a user's behavior with respect to the problem using the at least one sensor, storing the measured behavior information of the user in the database, The behavioral information of the subject is scored according to the ADHD screening criteria to perform the ADHD disorder screening. 10. The method of claim 9,
display; And
And a speaker,
Wherein the program control unit presents the problem through at least one of the display, the speaker and the movement of the robot. 10. The method of claim 9,
Wherein the score to be the ADHD selection criteria comprises a performance score of the question, a response score to the stimulus, a time score on the response and a score for the deviation behavior. 10. The method of claim 9,
Wherein the program control unit presents a path through which the robot moves on a square board disposed on the floor, and presents a problem that can be solved in the square board. 13. The method of claim 12,
Wherein the program control unit randomly presents one or more stimuli. 14. The method of claim 13,
Wherein the program control unit determines whether or not a success or failure of a problem that can be solved based on a path that the robot moves on the square board, whether or not a reaction required for one or more stimuli is performed, To perform ADHD fault screening. 10. The method of claim 9,
Wherein the program control section repeatedly presents a problem according to a plurality of steps. 10. The method of claim 9,
Wherein the at least one sensor comprises a motion recognition sensor.

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