Evaluation system, evaluation method, and evaluation program

Abstract

To properly evaluate elaborateness of writing action.SOLUTION: An evaluation system includes: an acquisition unit which acquires image data indicating a result of a task in which a subject fills at least one target region with a writing instrument; a calculation unit which calculates, as at least one in-task statistic, at least one statistic for each of at least one parameter related to the result, on the basis of the image data, the at least one parameter including density of a part filled with the writing instrument in the target region; a determination unit which determines whether the in-task statistic satisfies a predetermined reference corresponding to the in-task statistic, for each of the at least one in-task statistic for the at least one parameter; and an evaluation unit which evaluates elaborateness of writing action of the subject on the basis of a result determined for each in-task statistic.SELECTED DRAWING: Figure 4

Description

[Technical field]

[0001] One aspect of the present disclosure relates to an evaluation system, an evaluation method, and an evaluation program. [Background technology]

[0002] There is a known method for evaluating a subject based on the results of a task involving pen-writing movements performed by the subject.

[0003] Patent Document 1 describes a pattern coloring analysis method that is realized in a diagnostic device that includes a pattern coloring analysis unit. In the pattern coloring analysis method, the concentration factor of the diagnostic subject's work is determined based on the degree of completion and accuracy of the analysis target figure by the pattern coloring work. The degree of completion can be the ratio of the number of filled pixels in the basic pattern to the number of pixels of the entire basic pattern of the analysis target figure.

[0004] Patent Document 2 describes a recognition assessment system that includes a coloring sheet having a picture composed of multiple colored areas that are colored by a subject. The recognition assessment system displays a score for multiple check items for checking the recognition of things. The check items include the painted area of ​​the picture, the extent to which the picture extends beyond the colored areas, etc.

[0005] Non-Patent Document 1 describes an outline of an experiment in which a child's process of coloring a 3 cm diameter circle with a water-based pen was filmed on a video camera, and the child's use of a writing implement was analyzed. In the experiment, the finished state of the circle, which was the result of the drawing, was evaluated based on the area left uncolored and the area over-colored, and the relationship between the writing implement operation and the drawing result was examined. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Patent No. 5058064 [Patent Document 2] Patent No. 4967009 [Non-patent literature]

[0007] [Non-Patent Document 1] Yasuko Ozaki, "Assessment of Children's Manual Dexterity: PWT Line Drawing Test Manual and Examination Paper," 2018, pp.51-64 Summary of the Invention [Problem to be solved by the invention]

[0008] A method for appropriately evaluating the dexterity of penmanship is needed. [Means for solving the problem]

[0009] An evaluation system according to one aspect of the present disclosure includes an acquisition unit that acquires image data showing the results of a task in which a subject uses a writing instrument to fill in at least one target area; a calculation unit that calculates at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area that is filled in with the writing instrument; a determination unit that determines, for each of the at least one intra-task statistical value for the at least one parameter, whether the intra-task statistical value satisfies a predetermined standard corresponding to the intra-task statistical value; and an evaluation unit that evaluates the dexterity of the subject's penmanship action based on the result of the determination for each of the at least one intra-task statistical value for the at least one parameter.

[0010] In this aspect, based on image data showing the results of the filling-in task, statistical values ​​are calculated for parameters including at least the darkness of the portion of the target area filled in with a writing implement, and the dexterity of the subject's penmanship is evaluated based on the statistical values. The darkness of the portion filled in with a writing implement is likely to reflect the subject's ability in penmanship. Therefore, by using the darkness, the dexterity of the subject's penmanship can be appropriately evaluated. Effect of the Invention

[0011] According to one aspect of the present disclosure, it is possible to appropriately evaluate the dexterity of a penmanship action. [Brief description of the drawings]

[0012] [Figure 1] FIG. 1 is a diagram illustrating an example of application of an evaluation system. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration related to the evaluation system. [Diagram 3] FIG. 2 is a diagram illustrating an example of a functional configuration related to the evaluation system. [Figure 4] 13 is a flowchart showing an example of the operation of the evaluation system. [Diagram 5] FIG. 13 is a diagram illustrating an example of a process for identifying a pixel group for parameter calculation. [Figure 6] FIG. 11 illustrates another example of a process for identifying pixel groups for parameter calculation. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same or equivalent elements are designated by the same reference numerals, and duplicated explanations will be omitted.

[0014] [System Overview] The evaluation system according to the present disclosure is a computer system that evaluates the dexterity of a subject's penmanship based on image data showing the result of the subject's work of filling in a target area using a writing implement. Penmanship refers to the movement of the body when using a writing implement, for example, the movement of the hand, finger, elbow, or arm when writing a character or drawing a figure with a writing implement. The dexterity of a penmanship refers to an index showing the degree of dexterity and precision of a penmanship. In other words, the dexterity of a penmanship is an index showing how precisely a subject can control a writing implement. The dexterity of a penmanship is also called "penmanship dexterity." A subject refers to a person whose penmanship dexterity is evaluated by the evaluation system. The subject may be, for example, an infant, a child, an adult, or an elderly person. The evaluation system may be used in various situations such as education, research, examination, and clinical practice. For example, the evaluation system may be used to evaluate the developmental status or writing ability of a child or an adult, or to evaluate the brain function or motor function of an elderly person or a patient after surgery.

[0015] The subject is provided with a medium for performing the filling-in task. The medium may be paper or an electronic device with a touch screen, such as a tablet or pen tablet. One or more target areas are shown on the medium. A target area is a designated portion to be filled in with a writing implement. A target area may be a portion surrounded by a frame of a predetermined shape, such as a circle or a polygon. When multiple target areas are provided, the shape and size of the target areas may be uniform, or at least one of the shape and size may be different between at least two target areas.

[0016] Image data refers to data that digitally represents an image showing the result of the filling-in task. Image data is obtained by electronically recording, by a scanner, camera, or other device, one or more target areas in which the subject has filled in the target areas.

[0017] The evaluation system uses the image data to evaluate the penmanship dexterity based on at least one parameter related to the result of the filling-in task, such as the darkness of the portion of the target area filled in with the writing implement, the area of ​​the portion of the target area that is filled in, the area of ​​the portion of the target area that is left unfilled, and the area of ​​the filled-in peripheral area located outside the target area.

[0018] [System configuration] FIG. 1 is a diagram showing an example of application of an evaluation system 1 according to an embodiment. In this example, the evaluation system 1 includes a terminal 10. The terminal 10 is connected to a database 30 via a communication network N. The communication network N may include, for example, the Internet or an intranet. In this example, the evaluation system 1 evaluates penmanship dexterity based on image data showing the results of an operation of filling in three target areas 41 on a sheet of paper 40 with a writing implement 2.

[0019] The terminal 10 is a computer that evaluates the penmanship dexterity of a subject. The terminal 10 may be a portable terminal such as a high-performance mobile phone (smartphone), a tablet terminal, a wearable terminal (e.g., a head-mounted display (HMD), smart glasses, or a smart watch), a laptop personal computer, or a mobile phone. Alternatively, the terminal 10 may be a stationary terminal such as a desktop personal computer.

[0020] The writing instrument 2 is a tool used for writing characters, symbols, illustrations, etc. The writing instrument 2 may be a pen capable of writing with ink or graphite, such as a pencil, a ballpoint pen, a fountain pen, a marker, or a mechanical pencil, or may be a pointing device such as a stylus.

[0021] The database 30 is a non-transitory storage device that stores various data used by the evaluation system 1. The database 30 may be constructed as a single database, or may be a collection of multiple databases.

[0022] 2 is a diagram showing an example of a hardware configuration related to the evaluation system 1. FIG. 2 shows a terminal computer 100 functioning as the terminal 10.

[0023] As an example, the terminal computer 100 includes, as hardware components, a processor 101, a main memory unit 102, an auxiliary memory unit 103, a communication unit 104, an input interface 105, and an output interface 106.

[0024] The processor 101 is a computing device that executes an operating system and application programs. For example, the processor 101 is a CPU or a GPU.

[0025] The main memory unit 102 is a device that stores programs for implementing the terminal 10, calculation results output from the processor 101, etc. The main memory unit 102 is configured with at least one of a ROM and a RAM, for example.

[0026] The auxiliary storage unit 103 is generally a device capable of storing a larger amount of data than the main storage unit 102. The auxiliary storage unit 103 is configured by a non-volatile storage medium such as a hard disk, a flash memory, etc. The auxiliary storage unit 103 stores a client program P1 for causing the terminal computer 100 to function as the terminal 10 and various data.

[0027] The communication unit 104 is a device that executes data communication with other computers via the communication network N. The communication unit 104 is configured by, for example, a network card or a wireless communication module.

[0028] The input interface 105 is a device that accepts data based on a user's operation or action. For example, the input interface 105 is configured with at least one of a keyboard, an operation button, a pointing device, a microphone, a sensor, and a camera. The keyboard and the operation button may be displayed on a touch panel.

[0029] The output interface 106 is a device that outputs data processed by the terminal computer 100. For example, the output interface 106 is composed of at least one of a monitor, a touch panel, an HMD, and a speaker.

[0030] Each functional element of the terminal 10 is realized by loading a client program P1, which is an example of an evaluation program, into the processor 101 or the main memory unit 102 and having the processor 101 execute the program. The client program P1 includes code for realizing each functional element of the terminal 10. The processor 101 operates the communication unit 104, the input interface 105, or the output interface 106 in accordance with the client program P1, and reads and writes data in the main memory unit 102 or the auxiliary memory unit 103. Each functional element of the terminal 10 is realized by this processing.

[0031] The client program P1 may be provided in a state where it is non-temporarily recorded on a tangible recording medium such as a CD-ROM, a DVD-ROM, a semiconductor memory, etc. Alternatively, the client program P1 may be provided via a communication network as a data signal superimposed on a carrier wave.

[0032] FIG. 3 is a diagram showing an example of a functional configuration related to the evaluation system 1. The terminal 10 includes, as functional elements, an image acquisition unit 11, a communication unit 12, a calculation unit 13, a judgment unit 14, and an evaluation unit 15. The image acquisition unit 11 is a functional element that acquires image data showing the result of the filling-in work. The communication unit 12 is a functional element that transmits and receives various data to and from the database 30. The calculation unit 13 is a functional element that calculates a statistical value based on the image data. The judgment unit 14 is a functional element that judges whether or not the statistical value satisfies a predetermined standard. The evaluation unit 15 is a functional element that evaluates the penmanship dexterity of the subject based on the result of the judgment by the judgment unit 14.

[0033] In one example, the database 30 stores subject data, statistical data, reference data, sample data, judgment data, and evaluation data in addition to image data of subjects. The subject data is data indicating the attributes of the subject. The statistical data is data indicating a statistical value calculated based on the image data. The reference data is data indicating a standard used to judge the statistical value. The sample data is image data indicating the results of a filling-in task obtained from people collected as a sample, and is used to set a standard. The judgment data is data indicating the result of a judgment based on the statistical value and the standard. The evaluation data is data indicating the evaluation result of penmanship dexterity. In one example, the database 30 stores image data, subject data, statistical data, judgment data, and evaluation data for each subject.

[0034] [System Operation] The operation of the evaluation system 1 will be described with reference to Figs. 4 to 6. Fig. 4 is a flow chart showing an example of the operation as a processing flow S1. Figs. 5 and 6 are both diagrams showing an example of processing for identifying a pixel group from image data in order to calculate parameters. In the following, as parameters related to the result of the filling operation, the darkness of the part filled in by the writing implement 2 (hereinafter simply referred to as "darkness"), the area of ​​the part left unfilled in the target area (hereinafter referred to as "unfilled area"), and the area of ​​the part filled in by the writing implement 2 in the peripheral area located outside the target area (hereinafter referred to as "overflow area") are exemplified.

[0035] In step S11, the image acquisition unit 11 acquires image data showing the result of the filling-in task performed by the subject.

[0036] The subject receives instructions such as "Please fill in carefully" and "Do not paint over," and uses the writing implement 2 to fill in each target area 41. After this work, image data representing each target area 41 is generated by a device such as a scanner or camera. The image acquisition unit 11 acquires this image data.

[0037] The image acquisition unit 11 associates the image data with a subject ID, which is an identifier for identifying the subject. The communication unit 12 may read out the subject ID from the subject data in the database 30, or may receive the subject ID via the input interface 105. The communication unit 12 may store the image data associated with the subject ID in the database 30.

[0038] In step S12, the calculation unit 13 calculates one or more intra-job statistics for each parameter related to the result of the filling-in work based on the acquired image data. The intra-job statistics refer to the statistical values ​​of parameters related to the result of the work of filling in a predetermined number of target areas. When there are multiple target areas such as the paper 40, the calculation unit 13 may calculate intra-area statistics for each of the multiple target areas and calculate the intra-job statistics based on the multiple intra-area statistics. The intra-area statistics refer to the statistical values ​​of parameters related to the result of the work of filling in one target area. In the example of FIG. 1, the calculation unit 13 calculates intra-area statistics of darkness for each of the three target areas 41 and calculates the intra-job statistics based on the three intra-area statistics.

[0039] The intra-task statistical value may be at least one of a representative value and a variance. The representative value may be, for example, the mean, median, maximum value, minimum value, mode, quartile, or 100α percentile for any α (0≦α≦1). The variance is a value indicating how dispersed the data is, and may be, for example, a standard deviation, a variance, an interquartile range, a range from the minimum value to the maximum value (variation range), a coefficient of variation, a mean absolute deviation, or a median absolute deviation. When there are two or more types of parameters, the types or numbers of statistical values ​​used as intra-task statistical values ​​may differ between at least two types of parameters.

[0040] The calculation unit 13 calculates the intra-working statistics of darkness. In one example, as shown in FIG. 5, the calculation unit 13 specifies the brightness values ​​of individual pixels that indicate the internal region 41a located inside the line that defines the target region 41 for each target region 41. The calculation unit 13 classifies the pixels into a pixel group corresponding to a filled portion and a pixel group corresponding to an unfilled portion. Pixels with relatively low brightness values ​​correspond to filled portions, and pixels with relatively high brightness values ​​correspond to unfilled portions. The smaller the brightness value, the darker the fill. The calculation unit 13 specifies pixels with brightness values ​​less than a predetermined threshold as pixels of a filled portion, and specifies pixels with brightness values ​​equal to or greater than the threshold as pixels of an unfilled portion. The brightness value is generally specified within a numerical range from 0 to 255. In one example, the threshold is 215. The calculation unit 13 calculates the average value of the brightness values ​​of the filled portions for each target region 41 as the intra-region average value. The calculation unit 13 calculates an intra-job statistical value based on a plurality of intra-region average values ​​corresponding to a plurality of target regions 41. In one example, the calculation unit 13 calculates an intra-job average value, which is an average value of a plurality of intra-region average values, and a standard deviation of the intra-region average values, as the intra-job statistical value. Hereinafter, the intra-job average value of darkness is also referred to as the darkness average value, and the standard deviation of darkness is also referred to as the darkness standard deviation.

[0041] The calculation unit 13 calculates an intra-job statistical value of the unpainted area. In one example, the calculation unit 13 calculates the ratio of the area of ​​the unpainted part to the area of ​​the internal area 41a for each target area 41. Each area is found by the number of pixels in the corresponding part. The calculation unit 13 calculates, as the intra-job statistical value, an intra-job average value, which is the average value of multiple ratios, and a standard deviation of the ratios. Hereinafter, the intra-job average value of the ratios of the unpainted area is also referred to as the unpainted average value, and the standard deviation of the ratios of the unpainted area is also referred to as the unpainted standard deviation.

[0042] The calculation unit 13 calculates an intra-task statistical value of the overflow area. For each target area 41, the calculation unit 13 calculates the ratio of the area of ​​the portion filled in by the writing implement 2 in the peripheral area 42 located outside the target area 41. In one example, as shown in FIG. 6, the calculation unit 13 specifies the area outside the outer contour 41b of the line that defines the target area 41 as the peripheral area 42, and specifies the brightness value of each pixel that indicates the peripheral area 42. Next, the calculation unit 13 specifies pixels whose brightness value is less than a predetermined threshold value (e.g., 215) as pixels of the filled-in portion, and obtains the number of specified pixels as the overflow area. Then, the calculation unit 13 calculates the ratio of the overflow area to the area of ​​the internal area 41a. The calculation unit 13 calculates an intra-task average value, which is the average value of the multiple ratios, and a standard deviation of the ratios as intra-task statistical values. Hereinafter, the intra-task average value of the ratios of the overflow area is also referred to as the overflow average value, and the standard deviation of the overflow is also referred to as the overflow standard deviation.

[0043] The calculation unit 13 may calculate the maximum value, minimum value, or variation range among the multiple target regions 41 for at least one of the darkness, unpainted area, and overflow area as an intra-job statistical value.

[0044] The calculation unit 13 may generate statistical data by associating each intra-job statistical value with a subject ID, and store this statistical data in the database 30. For example, the calculation unit 13 stores in the database 30 statistical data indicating the correspondence between the subject ID and a combination of the darkness average value, darkness standard deviation, unfilled area average value, unfilled area standard deviation, overflow average value, and overflow standard deviation.

[0045] In step S13, the determination unit 14 determines whether or not each intra-operation statistical value satisfies a predetermined criterion.

[0046] The criterion is set for each intra-task statistical value. The individual criterion may be set for each attribute of the subject, such as age, age group, schooling stage, gender, various experiences, etc., or may be set independently of the attribute. The criterion may be set by a numerical range defined by a lower limit value and an upper limit value. In this case, the determination unit 14 determines that the criterion is met if the intra-task statistical value is within the numerical range, and determines that the criterion is not met if the intra-task statistical value is not within the numerical range. As another example, the determination unit 14 may determine that the criterion is met if the intra-task statistical value is outside the numerical range, and determines that the criterion is not met if the intra-task statistical value is not within the numerical range. Alternatively, the criterion may be set by a single lower limit value. In this case, the determination unit 14 determines that the criterion is met if the intra-task statistical value is equal to or greater than the lower limit value, and determines that the criterion is not met if the intra-task statistical value is not within the numerical range. Alternatively, the criterion may be set by a single upper limit value. In this case, the determination unit 14 determines that the criterion is met if the intra-task statistical value is equal to or less than the upper limit value, and determines that the criterion is not met if the intra-task statistical value is not within the numerical range. Hereinafter, the numerical range, lower limit value, and upper limit value set as the standard will also be referred to as the standard range, standard lower limit value, and standard upper limit value, respectively.

[0047] In one example, each criterion is set using sample data in the database 30. For example, the sample data is grouped by age, and a criterion is set for each age as follows: an intra-task statistic is calculated for each sample corresponding to that age, and outliers are removed based on the interquartile range of the intra-task statistic. Then, a criterion is set based on the group of remaining intra-task statistic values. For example, the criterion may be set based on the mean μ and standard deviation σ for the group of remaining intra-task statistic values. For example, a range of μ±2σ may be set as the reference range of the intra-task statistic value. Alternatively, μ-2σ may be set as the reference lower limit, and μ+2σ may be set as the reference upper limit.

[0048] Each set criterion is stored in advance as criterion data in the database 30. The criterion may be set by a computer other than the terminal 10 and stored in the database 30. Alternatively, the judgment unit 14 may read sample data from the database 30 and set each criterion based on the sample data by the above-mentioned method.

[0049] The judgment unit 14 judges whether or not each intra-task statistical value of each parameter satisfies a criterion. For example, the judgment unit 14 may judge whether or not the density average value is within a reference range, may judge whether or not the density average value is equal to or greater than a reference lower limit, or may judge whether or not the density average value is equal to or less than a reference upper limit. The judgment unit 14 also judges the density standard deviation, the unpainted average value, the unpainted standard deviation, the overflow average value, and the overflow standard deviation using the corresponding criteria.

[0050] The judgment unit 14 may generate judgment data by associating the judgment result with the subject ID, and store this judgment data in the database 30. For example, the judgment unit 14 stores in the database 30 judgment data indicating the correspondence between the subject ID and a combination of the judgment results for the density average value, density standard deviation, unfilled area average value, unfilled area standard deviation, overflow average value, and overflow standard deviation.

[0051] In step S14, the evaluation unit 15 evaluates the penmanship dexterity of the subject based on the result of the judgment for each intra-task statistical value. In one example, the evaluation unit 15 expresses the evaluation result using an evaluation value that is an index for estimating whether the penmanship dexterity is appropriate or not.

[0052] The evaluation unit 15 may set a first evaluation value as dexterity when each intra-task statistical value of each parameter meets the criterion, and may set a second evaluation value indicating that the dexterity is lower than the first evaluation value when at least one intra-task statistical value does not meet the criterion. That is, the evaluation unit 15 sets the first evaluation value when all intra-task statistical values ​​meet the criterion, and sets the second evaluation value when at least a part of one or more intra-task statistical values ​​does not meet the criterion. The first evaluation value and the second evaluation value may be expressed as "high" and "low", respectively. As an example, the intra-task statistical values ​​are assumed to be a darkness average value, a darkness standard deviation, an unpainted average value, an unpainted standard deviation, an overflow average value, and an overflow standard deviation. The evaluation unit 15 sets the first evaluation value when all of these six intra-task statistical values ​​meet the criterion, and sets the second evaluation value when at least one intra-task statistical value does not meet the criterion. In other words, if all of the in-task statistical values ​​for darkness, unfilled area, and overflow area meet the criteria, the evaluation unit 15 judges the subject's penmanship dexterity to be relatively high, and if any of the in-task statistical values ​​do not meet the criteria, the evaluation unit 15 evaluates the subject's penmanship dexterity to be relatively low.

[0053] The evaluation unit 15 may set the evaluation value according to the number of intra-task statistics that do not satisfy the criteria. Alternatively, the evaluation unit 15 may weight the judgment results of the intra-task statistics to determine a score, and set the evaluation value based on the sum of the scores.

[0054] The evaluation unit 15 outputs the set evaluation value. For example, the evaluation unit 15 may display the evaluation value on a monitor or may transmit the evaluation value to another computer. Alternatively, the evaluation unit 15 may generate evaluation data by associating the evaluation value with a subject ID and store the evaluation data in the database 30.

[0055] [Variations] Various examples of the present disclosure have been described in detail above. However, the present disclosure is not limited to the above examples. Various modifications of the present disclosure are possible without departing from the spirit of the present disclosure.

[0056] In this disclosure, the expression "at least one processor executes a first process, executes a second process, ... executes an nth process" or a corresponding expression indicates a concept including a case where the executing entity (i.e., the processor) of n processes from the first process to the nth process changes midway. In other words, this expression indicates a concept including both a case where all of the n processes are executed by the same processor and a case where the processor changes among the n processes according to an arbitrary policy.

[0057] The processing procedure of the method executed by at least one processor is not limited to the above example. For example, some of the above steps may be omitted, or each step may be executed in a different order. In addition, any two or more of the above steps may be combined, or some of the steps may be modified or deleted. Alternatively, other steps may be executed in addition to the above steps.

[0058] In comparing the magnitude of two numerical values, either of the two criteria "greater than or equal to" or "greater than" may be used, or either of the two criteria "less than or equal to" or "less than".

[0059] [Note] As can be seen from the various examples above, the present disclosure includes the following aspects. (Appendix 1) an acquisition unit that acquires image data showing a result of an activity in which a subject fills in at least one target area using a writing implement; a calculation unit that calculates at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area that is filled in by the writing implement; a determination unit that determines, for each of the at least one intra-task statistical value for the at least one parameter, whether or not the intra-task statistical value satisfies a predetermined criterion corresponding to the intra-task statistical value; an evaluation unit that evaluates the dexterity of the subject's penmanship action based on a result of the judgment for each of the at least one intra-task statistical value for the at least one parameter; An evaluation system comprising: (Appendix 2) the at least one region of interest is a plurality of regions of interest; The calculation unit, Calculating the density statistics for each of the plurality of target regions as intra-region statistics; calculating the at least one intra-operation statistic based on a plurality of the intra-region statistic values; 2. The evaluation system described in Appendix 1. (Appendix 3) The calculation unit, calculating a representative value of the density as the regional statistical value for each of the plurality of target regions; Calculating an intra-job representative value that is a representative value of the plurality of intra-region representative values ​​and a variance of the plurality of intra-region representative values ​​as the at least one intra-job statistical value; The determination unit determines whether or not the in-operation representative value and the variation in the darkness satisfy the predetermined criteria; The evaluation unit evaluates the dexterity based on the results of the judgment regarding each of the intra-operation representative value and the variation of the darkness. The evaluation system described in Appendix 2. (Appendix 4) The evaluation unit, When all of the at least one intra-task statistics for the at least one parameter satisfy the predetermined criterion, a first evaluation value is set as the dexterity; When at least a part of the at least one intra-task statistical value for the at least one parameter does not satisfy the predetermined standard, a second evaluation value indicating that the dexterity is lower than the first evaluation value is set. An evaluation system according to any one of appendix 1 to 3. (Appendix 5) The at least one parameter further includes an area of ​​an unpainted portion of the target area. An evaluation system according to any one of appendices 1 to 4. (Appendix 6) The at least one parameter further includes an area of ​​a portion of a peripheral region located outside the target region that is filled in by the writing implement. An evaluation system according to any one of appendix 1 to 5. (Appendix 7) 1. A rating method performed by a rating system having a processor, comprising: acquiring image data indicative of a result of a subject filling in at least one target area with a writing implement; a calculating step of calculating at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area filled with the writing implement; a determining step for determining, for each of the at least one intra-task statistic for the at least one parameter, whether the intra-task statistic satisfies a predetermined criterion corresponding to the intra-task statistic; an evaluation step of evaluating dexterity of the subject's penmanship action based on the result of the determination for each of the at least one intra-task statistics for the at least one parameter; Evaluation methods including. (Appendix 8) acquiring image data indicative of a result of a subject filling in at least one target area with a writing implement; a calculating step of calculating at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area filled with the writing implement; a determining step for determining, for each of the at least one intra-task statistic for the at least one parameter, whether the intra-task statistic satisfies a predetermined criterion corresponding to the intra-task statistic; an evaluation step of evaluating dexterity of the subject's penmanship action based on the result of the determination for each of the at least one intra-task statistics for the at least one parameter; An evaluation program that causes a computer to execute the above.

[0060] According to Supplementary Notes 1, 7, and 8, based on image data showing the results of the filling-in task, statistical values ​​are calculated for parameters including at least the darkness of the portion of the target area filled in with a writing implement, and the dexterity of the subject's pen movement is evaluated based on the statistical values. The darkness of the portion filled in with a writing implement is likely to reflect the subject's ability in pen movement. Therefore, by using the darkness, the dexterity of the subject's pen movement can be appropriately evaluated.

[0061] According to Appendix 2, intra-task statistics are calculated based on image data showing the results of the task of filling in multiple target areas, making it possible to evaluate the subject's penmanship dexterity with greater accuracy by taking into account unevenness in each filling-in task.

[0062] According to Supplementary Note 3, for darkness, an intra-area representative value is calculated for each of a plurality of target areas, and based on this intra-area representative value, an intra-task representative value and the variance of the intra-area representative value are calculated as intra-task statistics. By taking both the representative value and the variance into consideration in this way, the examinee's penmanship dexterity can be evaluated in more detail.

[0063] According to Supplementary Note 4, when all intra-task statistics satisfy a predetermined standard, a first evaluation value is set as the penmanship dexterity, and when at least a part of the intra-task statistics does not satisfy the predetermined standard, a second evaluation value is set as the penmanship dexterity. This allows the penmanship dexterity to be evaluated relatively strictly, thereby reducing the risk that problems with the examinee's penmanship dexterity will be overlooked.

[0064] According to Appendix 5, the subject's dexterity is evaluated based on the area of ​​the unfilled part of the target area. The area of ​​the unfilled part reflects the accuracy of the subject's finger movements during the filling task. Therefore, by further taking the area into consideration, the subject's dexterity can be evaluated with higher accuracy.

[0065] According to Appendix 6, the subject's dexterity in writing is evaluated based on the area of ​​the portion filled in by the writing implement in the peripheral area outside the target area. The area of ​​the portion filled in that extends beyond the peripheral area reflects the accuracy of the subject's finger movements in the filling task. Therefore, by further taking the area into consideration, the subject's dexterity in writing can be evaluated with higher accuracy. [Explanation of symbols]

[0066] 1...evaluation system, 2...writing implement, 10...terminal, 11...image acquisition unit, 12...communication unit, 13...calculation unit, 14...judgment unit, 15...evaluation unit, 30...database, 40...paper (medium), 41...target area, 42...surrounding area, P1...client program (evaluation program).

Claims

1. an acquisition unit that acquires image data showing a result of an activity in which a subject fills in at least one target area using a writing implement; a calculation unit that calculates at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area that is filled in by the writing implement; a determination unit that determines, for each of the at least one intra-task statistical value for the at least one parameter, whether or not the intra-task statistical value satisfies a predetermined criterion corresponding to the intra-task statistical value; an evaluation unit that evaluates the dexterity of the subject's penmanship action based on a result of the judgment for each of the at least one intra-task statistical value for the at least one parameter; An evaluation system comprising:

2. the at least one region of interest is a plurality of regions of interest; The calculation unit, Calculating the density statistics for each of the plurality of target regions as intra-region statistics; calculating the at least one intra-operation statistic based on a plurality of the intra-region statistic values; The evaluation system according to claim 1 .

3. The calculation unit, calculating a representative value of the density as the regional statistical value for each of the plurality of target regions; Calculating an intra-job representative value that is a representative value of the plurality of intra-region representative values ​​and a variance of the plurality of intra-region representative values ​​as the at least one intra-job statistical value; The determination unit determines whether or not the in-operation representative value and the variation in the darkness satisfy the predetermined criteria; The evaluation unit evaluates the dexterity based on the results of the judgment regarding each of the intra-operation representative value and the variation of the darkness. The evaluation system according to claim 2 .

4. The evaluation unit, When all of the at least one intra-task statistics for the at least one parameter satisfy the predetermined criterion, a first evaluation value is set as the dexterity; When at least a part of the at least one intra-task statistical value for the at least one parameter does not satisfy the predetermined standard, a second evaluation value indicating that the dexterity is lower than the first evaluation value is set. The evaluation system according to any one of claims 1 to 3.

5. The at least one parameter further includes an area of ​​an unpainted portion of the target area. The evaluation system according to any one of claims 1 to 3.

6. The at least one parameter further includes an area of ​​a portion of a peripheral region located outside the target region that is filled in by the writing implement. The evaluation system according to any one of claims 1 to 3.

7. 1. A rating method performed by a rating system having a processor, comprising: acquiring image data indicative of a result of a subject filling in at least one target area with a writing implement; a calculating step of calculating at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area filled with the writing implement; a determining step for determining, for each of the at least one intra-task statistic for the at least one parameter, whether the intra-task statistic satisfies a predetermined criterion corresponding to the intra-task statistic; an evaluation step of evaluating dexterity of the subject's penmanship action based on the result of the determination for each of the at least one intra-task statistics for the at least one parameter; Evaluation methods including.

8. acquiring image data indicative of a result of a subject filling in at least one target area with a writing implement; a calculating step of calculating at least one statistical value as at least one intra-task statistical value for each of at least one parameter related to the result based on the image data, the at least one parameter including a darkness of a portion of the target area filled with the writing implement; a determining step for determining, for each of the at least one intra-task statistic for the at least one parameter, whether the intra-task statistic satisfies a predetermined criterion corresponding to the intra-task statistic; an evaluation step of evaluating dexterity of the subject's penmanship action based on the result of the determination for each of the at least one intra-task statistics for the at least one parameter; An evaluation program that causes a computer to execute the above.

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