Training Aids

Abstract

To present a more appropriate training menu to a subject.SOLUTION: A training support device 1 includes: a state score acquisition unit 11 for acquiring a state score indicating a functional state of a target portion that is a training target of a subject; a score improvement rate calculation unit 14 for calculating a score improvement rate by performing training with a specific parameter setting from the state score obtained from the subject before and after performing the training with the specific parameter setting; and a training menu creation unit 12 as a menu creation unit for creating a training menu composed of one or more training related to the target portion based on the score improvement rate.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a training support device. [Background technology]

[0002] With the increasing number of elderly people, various methods for supporting the improvement of physical functions have been studied. For example, Patent Document 1 describes a technology that calculates exercise-related parameters from exercise data of a subject, calculates an evaluation value from these parameters, and then suggests a recommended training menu based on the evaluation value. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2016-150018 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the method described in Patent Document 1 does not anticipate suggesting training that takes into account the effects of implementing a training menu.

[0005] The present disclosure aims to provide a technology capable of presenting a more appropriate training menu to a subject. [Means for solving the problem]

[0006] A training support device according to one embodiment of the present disclosure includes a condition score acquisition unit that acquires a condition score indicating the functional state of a target body part that is the subject's target for training; a score improvement rate calculation unit that calculates a score improvement rate resulting from training with specific parameter settings based on the condition score obtained from the subject before and after training with the parameter settings; and a menu creation unit that creates a training menu consisting of one or more training exercises related to the target body part based on the score improvement rate.

[0007] According to the training support device, the score improvement rate due to training with specific parameter settings is obtained from the condition scores obtained before and after training with the specific parameter settings. Furthermore, based on this score improvement rate, a new training menu consisting of one or more training exercises for a target body part is created. In this way, the training support device can create training exercises by focusing on the effects of training with specific parameter settings, making it possible to present a more appropriate training menu to the subject. [Effects of the Invention]

[0008] According to the present disclosure, a technology is provided that can present a more appropriate training menu to a subject. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating an example of a schematic configuration of a training support device. [Figure 2] 2(a) and 2(b) are diagrams showing examples of condition scores. [Figure 3] 3(a) and (b) are diagrams showing the relationship between the type of stomatognathic training and the parts where the factory condition score can be expected. [Figure 4] 4(a) and (b) are diagrams showing the relationship between the type of cognitive function training and the areas where improvements in condition scores can be expected. [Figure 5] FIG. 5 is a diagram illustrating an example of a hardware configuration of a training support device. [Figure 6] FIG. 6 is a flowchart showing an example of a training support method. [Figure 7] 7(a), (b), and (c) are diagrams illustrating an example of changing the training parameter settings according to the score improvement rate. [Figure 8] FIG. 8 is a flowchart showing an example of a training support method. [Figure 9] 9(a), (b), and (c) are diagrams illustrating an example of updating the score improvement rate. [Figure 10] FIG. 10 is a diagram illustrating the expected score improvement rate for each training and parameter setting. [Figure 11] FIG. 11 is a diagram showing an example of the configuration of a training support program. DETAILED DESCRIPTION OF THE INVENTION

[0010] 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 elements are designated by the same reference numerals, and duplicated explanations will be omitted.

[0011] [Training support device] 1 is a schematic diagram of a training support device 1 according to one embodiment. The training support device 1 is a device that acquires a condition score D1 indicating the health condition of a target body part of a subject X, and creates and presents a training menu D2 for the subject X based on this condition score. Furthermore, the training support device 1 acquires the condition score D1 for the subject X after the subject X has performed the training menu D2, verifies the effects of performing the training menu D2, and uses the results to create future training menus.

[0012] In this embodiment, the oral function is focused as the target part of training for subject X, and a case where the health condition of the "stomatognathic system" is evaluated in particular will be described. The stomatognathic system includes, for example, four target parts: the tongue, lips, chin, and cheeks. The training support device 1 creates a training menu for at least some of the above four parts based on the current condition scores of subject X. Note that the tongue, lips, chin, or cheeks may be treated as the target part.

[0013] Furthermore, the training support device 1 may create a training menu by also focusing on the cognitive function of the subject X. For the cognitive function, the state of each function can be calculated as a condition score, similar to the stomatognathic system described above. That is, the "target part" in this embodiment may not only focus on a specific body part, but also on a specific function of the body. Therefore, the target part may be a "cognitive function." Furthermore, cognitive function may be subdivided, and for example, memory or judgment may be treated as a cognitive function-related ability. Then, a training menu may be created according to the condition score, and the training menu may be updated according to the improvement in the score after training. The training support device 1 may also create a training menu by targeting only cognitive function.

[0014] The condition score of the target part of the subject X is a numerical representation of the health condition of the part. The condition score can be calculated, for example, as a numerical value indicating to what extent the subject X was able to actually perform a specified movement when performing the specified movement. The calculation method is not particularly limited, but for example, the number of times the specified movement was successfully performed may be used as the score, or some feature amount (e.g., amount of exercise) related to the movement may be quantified using image processing or the like after capturing an image of the movement of the subject X, and this may be used as the condition score. In this embodiment, the score obtained from the movement when the above-mentioned movement related to the stomatognathic system is performed is used as the condition score (details will be described later).

[0015] The training support device 1 includes a condition score acquisition unit 11, a training menu creation unit 12 (menu creation unit), a training menu output unit 13, a score improvement rate calculation unit 14, a training list update unit 15, and a related information storage unit 16.

[0016] The condition score acquisition unit 11 has a function of acquiring a condition score D1 of the subject X. The condition score D1 can be acquired, for example, from an external device that calculates a condition score. The training support device 1 may have a function of calculating a condition score. The condition score acquisition unit 11 also acquires a condition score of the subject X after training based on a training menu. The condition score of the subject X after training can be used to evaluate the improvement rate of the condition score. In addition, the condition score of the subject X after completing the training menu will also be used to create subsequent training menus.

[0017] 2(a) and 2(b) are diagrams showing examples of condition scores. FIG. 2(a) is an example of a condition score related to the stomatognathic system, in which scores are assigned separately for the entire oral cavity, tongue, lips, chin, and cheeks. Here, the scores are expressed on a scale of 100 points, but the method for setting the maximum score is not particularly limited and can be changed as appropriate. FIG. 2(b) is an example of a condition score related to cognitive function, in which scores are assigned separately for cognitive function, memory, and judgment.

[0018] The training menu creation unit 12 has a function of creating a training menu from the condition score D1 related to the subject X. The training menu is composed of one or more trainings expected to improve the condition score. The training menu creation unit 12 creates the training menu by selecting one or more trainings from a plurality of trainings included in a training list prepared in advance, according to the condition score D1 and the type and amount of improvement of the score to be improved, and by setting the difficulty level of each training.

[0019] An example of how to create a training menu is shown below. Figure 3 shows an example of training for the stomatognathic system. Specifically, Figure 3(a) shows a training list, and Figure 3(b) shows the relationship between each training and the condition score. As shown in Figure 3(a), the training for the stomatognathic system includes "tongue exercise" (moving the tongue in a specified direction for a limited time), "patakara exercise" (repeatedly uttering specified sounds, such as "pa," "ta," "ka," and "ra," for a limited time), and "lip exercise" (repeatedly making and maintaining a specified facial expression for a limited time). The difficulty of these exercises can be adjusted by changing parameters. For example, for tongue exercise, the time limit (the time required to perform the exercise), the number of directions (the number of directions the tongue moves), and the maintenance time (the time required to maintain the tongue in a specified direction) can be set as parameters to adjust the difficulty. Since parameters are set for the patakara exercise and the lip exercise, the difficulty of the training can be adjusted by adjusting these parameters.

[0020] Figure 3(b) shows the correspondence between these trainings and the scores of each part. For example, tongue exercises have been shown to contribute to improving the condition scores of oral function (the entire stomatognathic system) and the tongue. Similarly, palatal exercises have been shown to contribute to improving the condition scores of oral function, tongue, cheeks, and jaw, while lip exercises have been shown to contribute to improving the condition scores of oral function and lips. In other words, based on this table, if one is trying to improve the condition score of the tongue, for example, it is expected that the condition score will improve by including tongue exercises and palatal exercises in the training menu. Furthermore, if one is trying to improve the condition score of the tongue and cheeks, palatal exercises may be selected as the minimum training, while combining tongue and lip exercises is expected to further improve the condition score. Thus, when one wants to improve the condition score of a specific part, one can decide which training to select by referring to Figure 3(b).

[0021] Figure 4 shows examples of cognitive function training. Similar to Figure 3, Figure 4(a) shows a training list, and Figure 4(b) shows the relationship between each training and the condition score. As shown in Figure 4(a), cognitive training includes "calculation" (arithmetic operations), "N-back task" (a task in which the current information matches the previous N information), "inhibition task" (a task in which the subject determines an action based on two colors presented), and "memory task" (a task in which the subject memorizes presented information and performs an action based on that memory). The difficulty of these exercises can be adjusted by changing parameters. For example, for calculations, the time limit (the time required to perform the task), the type of arithmetic operations, and the number of digits can be set as parameters to adjust the difficulty. The N-back task, inhibition task, and memory task each have their own set of parameters, so the difficulty of the training can be adjusted by adjusting these parameters.

[0022] Figure 4(b) shows the correspondence between these trainings and the score improvement in each area. For example, it has been shown that calculation contributes to improving the status scores of cognitive function and judgment. Similarly, the status scores that can be expected to improve for other tasks are also shown. Therefore, based on this table, when aiming to improve a specific function (to improve the status score), it is possible to decide which training to select by referring to Figure 4(b).

[0023] The information shown in Figures 3(b) and 4(b), i.e., information showing the relationship between training and the areas where improvement in condition score is expected, is stored in the related information storage unit 16 and can be updated according to changes in the condition score before and after training of a person who actually performed the training.

[0024] The training menu creation unit 12 creates a training menu from these training lists, taking into consideration the condition score of the subject X. More specifically, for example, the condition score to be improved is identified (for example, by setting a priority), and training that is expected to improve the condition score is selected from the list. The training menu creation unit 12 may set the difficulty of the training based on the condition score. For example, if the condition score is 70 or less out of 100, the predetermined training will start at a medium level, so the parameters may be set in this manner. Such basic settings may be stored, for example, in the related information storage unit 16.

[0025] It should be noted that stomatognathic training (see Figure 3) and cognitive function training (see Figure 4) may be combined. For example, subject X may perform patakara movements while solving arithmetic problems using a tablet or the like, thereby simultaneously training in patakara movements and arithmetic. Furthermore, lip movements (exercises in which the subject imitates a specified facial expression) may be performed while an N-back task is performed to determine whether the current facial expression matches the Nth previous facial expression, thereby simultaneously performing lip movements and N-back tasks. Furthermore, tongue movements may be combined with an inhibition task to train the subject to change the tongue orientation in response to a presented color, or with a memory task to train the subject to remember a specified tongue orientation and perform the tongue movement. In this way, stomatognathic training and cognitive function training may be combined. If a combination of multiple trainings can be included in the training menu, such a combination, such as "patakara movements + arithmetic," can be included in a separate training list, allowing such a combination to be selected.

[0026] The training menu output unit 13 has a function of outputting the training menu D2 created by the training menu creation unit 12 so that it can be used by the subject X. The output destination and output method are not particularly limited, but for example, the training menu D2 may be output as data to an external device or may be displayed on a monitor or the like.

[0027] The score improvement rate calculation unit 14 has a function of calculating a score improvement rate from the condition score of the subject X after implementing the training menu and the condition score of the subject X before implementing the training menu. The score improvement rate is an index showing the effectiveness of the training menu. By calculating the score improvement rate, it is possible to know to what extent the training menu contributes to improving the condition score of each body part, and this can be used to create future training menus.

[0028] The training list update unit 15 has a function of updating the training list based on the score improvement rate calculated by the score improvement rate calculation unit 14. As will be described in detail later, in the training list, an expected value indicating how much a condition score will improve when the training menu is performed is associated with each training menu. The score improvement rate calculated by the score improvement rate calculation unit 14 is used to update the expected value related to the improvement.

[0029] The related information storage unit 16 has a function of storing various information related to the creation of the training menu and the updating of the training list. Examples of information stored in the related information storage unit 16 include training lists and information associated with the training lists, and information serving as a reference for selecting training from the condition scores and creating a training menu. More specifically, the related information storage unit 16 stores information indicating the relationship between the type of training and the target body part where the condition score is expected to be improved by the training (specifically, the information shown in FIGS. 3(b) and 4(b)). Therefore, the related information storage unit 16 functions as a body part relationship information storage unit. The related information storage unit 16 also stores information related to the score improvement rate calculated by the score improvement rate calculation unit 14 when the training is performed with the parameter settings, in association with the type of training and the parameter settings of the training (specifically, the information shown in FIG. 10, etc., described later). Therefore, the related information storage unit 16 functions as a score improvement rate information storage unit. In addition, the related information storage unit 16 may store information used for each process in the training support device 1.

[0030] [Hardware configuration]

[0031] For example, the training support device 1 may function as a computer. Fig. 5 is a diagram showing an example of the hardware configuration of the training support device 1 according to this embodiment. The training support device 1 may be physically configured as a computer device including a processor C1, a memory C2, a storage C3, a communication device C4, an input device C5, an output device C6, a bus C7, etc.

[0032] In the following description, the term "apparatus" can be interpreted as a circuit, a device, a unit, etc. The hardware configuration of the training support apparatus 1 may be configured to include one or more of the devices shown in FIG. 5. It may also be configured without including some of the devices.

[0033] Each function of the training support device 1 is realized by loading specific software onto hardware such as the processor C1 and memory C2, causing the processor C1 to perform calculations and control communication via the communication device C4, and reading and / or writing of data in the memory C2 and storage C3.

[0034] The processor C1, for example, runs an operating system to control the entire computer. The processor C1 may be configured as a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, a register, etc. The processor C1 may also be configured to include a graphics processing unit (GPU). For example, each functional unit of the training support device 1 may be realized by the processor C1.

[0035] The processor C1 also reads programs (program codes), software modules, and data from the storage C3 and / or the communication device C4 into the memory C2, and executes various processes in accordance with these. The programs used are those that cause a computer to execute at least some of the operations described in the above-described embodiments. For example, each functional unit of the training support device 1 may be implemented by a control program stored in the memory C2 and executed by the processor C1. While the above-described various processes have been described as being executed by one processor C1, they may also be executed simultaneously or sequentially by two or more processors C1. The processor C1 may be implemented on one or more chips. The programs may also be transmitted from a network via a telecommunications line.

[0036] The memory C2 is a computer-readable recording medium and may be composed of at least one of, for example, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), and a random access memory (RAM). The memory C2 may also be called a register, a cache, a main memory (primary storage device), or the like. The memory C2 can store executable programs (program codes), software modules, and the like for implementing a training support method according to an embodiment of the present invention.

[0037] Storage C3 is a computer-readable recording medium, and may be composed of at least one of an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, a magneto-optical disk (e.g., a compact disk, a digital versatile disk, a Blu-ray disc), a smart card, a flash memory (e.g., a card, a stick, a key drive), a floppy disk, a magnetic strip, etc. Storage C3 may also be referred to as an auxiliary storage device. The above-mentioned storage medium may be, for example, a database, a server, or other appropriate medium including memory C2 and / or storage C3.

[0038] The communication device C4 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also called, for example, a network device, a network controller, a network card, or a communication module.

[0039] The input device C5 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives input from the outside. The output device C6 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device C5 and the output device C6 may be integrated into one device (for example, a touch panel).

[0040] Furthermore, each device such as the processor C1 and memory C2 is connected by a bus C7 for communicating information. The bus C7 may be configured as a single bus, or may be configured as different buses between the devices.

[0041] [Training support method-1] A method for creating a training menu for a specific subject X will be described as a training support method using the training support device 1 with reference to FIG.

[0042] First, the training support device 1 executes step S01. In step S01, the training menu creation unit 12 creates an initial training menu based on the condition score of the subject X acquired by the condition score acquisition unit 11, and the training menu output unit 13 outputs the menu. The initial training menu may be determined based on the condition score, or may be set regardless of the condition score. When creating a training menu regardless of the condition score, for example, all training menus may be uniformly determined to be performed at a specified level, or a predetermined number of trainings randomly selected from all training menus may be performed at a specified level.

[0043] Next, the training support device 1 executes step S02. In step S02, the subject X starts training based on the output training menu. In addition, the condition score of the subject X after the training is measured, and the condition score acquisition unit 11 of the training support device 1 acquires the condition score of the subject X.

[0044] Next, the training support device 1 executes step S03. In step S03, the score improvement rate calculation unit 14 calculates the improvement rate of the subject X's condition score.

[0045] The score improvement rate is calculated by calculating the change in condition score due to training. Therefore, for example, after creating the first training menu, the score improvement rate before the start of the first training is compared with the score improvement rate after a predetermined number of days have passed since the start of training. The score improvement rate due to the execution of a training menu under specific conditions can be calculated, for example, using the following formula (1). Score improvement rate = (post-training condition score - pre-training condition score) / pre-training condition score x 100…(1) (Note that "training" here refers to training with a fixed level of difficulty, i.e., training based on a training menu with specific conditions.)

[0046] Next, the training support device 1 executes step S04. In step S04, the training menu creation unit 12 determines whether the condition score has been maintained or improved. If the condition score has been maintained or improved, the score improvement rate will be 0 or greater.

[0047] Here, if the condition score is maintained or improved (S04-YES), the training menu creating section 12 creates a training menu with an increased level or difficulty level in step S05.

[0048] An example of creating a training menu with increased level or difficulty will be described with reference to FIG. 7. FIG. 7(a) shows a list of training menus given to subject X. Assume that parameters were set for each training as shown in the parameter setting values. After subject X repeats this training menu, the score improvement rate is evaluated, and as a result, the condition scores for the entire oral cavity, cognitive function, lip, and jaw improve as shown in FIG. 7(b). In this case, the training menu creation unit 12 updates specific parameters among the lip movement, calculation, N-back task, inhibition task, and memory task in the training menu shown in FIG. 7(a) as shown in FIG. 7(c). The parameters of the training to be updated based on the results shown in FIG. 7(b) are determined, for example, by taking into account the correspondence between the condition scores and the trainings shown in FIGS. 3(b) and 4(b). Furthermore, the extent to which each of the multiple parameters of each training is updated may be determined, for example, based on the score improvement rate, or may be determined by adjusting the parameters so as to reduce the variation in difficulty between the parameters.

[0049] In Figure 7(c), parameters that have been updated compared to the training menu shown in Figure 7(a) are underlined. The updated parameters have all been updated to increase the difficulty level. In the results shown in Figure 7(b), since only the tongue condition score has decreased, the parameters for tongue movement and patting movement, which are related to the tongue condition score, have not been changed. In this way, the difficulty level of the training menu can be changed based on the degree of change in each condition score. Note that, for example, a type of training that has not been done before may be added depending on the rate of improvement in the condition score.

[0050] On the other hand, if the condition score is not maintained or improved (NO in S04), that is, if the condition score has decreased, the training menu creation unit 12 changes the training menu creation policy based on whether or not training under the conditions has been performed M times or more in step S06. Specifically, if training under the conditions has been performed M times or more (YES in S06), the difficulty level is determined to be unsuitable for the subject X because the condition score has decreased despite the training having been performed a certain number of times or more. Accordingly, the training menu creation unit 12 creates a training menu with an increased level or difficulty in step S07. Furthermore, if training under the conditions has not been performed M times or more (NO in S06), the training menu creation unit 12 considers that the effect of training under the current conditions may not be apparent in the condition score of the subject X, and decides not to change the training menu in step S08. Note that M times is set, for example, based on the period during which the effect of training is expected to actually appear. As an example, assuming that training is performed once a day, M may be set to approximately 7 to 30 times.

[0051] After the training menu is created, the subject X performs training according to the menu. Then, a condition score is calculated as a result of the training, and a series of processes (S02 to S08) are repeated to adjust the training menu based on the score improvement rate. As a result, the training menu is continuously provided to the subject X while being adjusted according to the subject X's condition score.

[0052] 6, an example is described in which the training menu is adjusted with a focus only on the score improvement rate, but the difficulty level may be adjusted (the parameter setting value is changed) taking into account the absolute value of the condition score (how many points it has out of a total of 100). Also, as will be described later, the difficulty level may be adjusted from the perspective of how much improvement is desired in which condition score, with a focus on the score improvement rate for each training session (for each difficulty level).

[0053] [Training support method-2] As described above, the score improvement rate of subject X after performing training based on the training menu is also used when updating information on how much each training contributes to score improvement. Furthermore, if the score improvement rate of each training is known, it is possible to select a training menu from the perspective of how much the user wants to improve their score. This point will be explained with reference to FIGS. 8 to 10. FIG. 8 is a diagram explaining a method for updating the score improvement rate for each training menu.

[0054] First, the training support device 1 executes step S11. In step S11, the training list update unit 15 of the training support device 1 collects the score improvement rate for each training session.

[0055] Next, the training support device 1 executes step S12. In step S12, the training list update unit 15 of the training support device 1 updates information relating to the score improvement rate for each training session based on the collected score improvement rate.

[0056] Next, the training support device 1 executes step S13. In step S13, the training menu creation unit 12 of the training support device 1 is able to create a training menu based on the updated score improvement rate for each training session.

[0057] The update of the score improvement rate for each training will be described with reference to Figure 9. When multiple subjects perform the same training, or when subjects from the same doctor perform the same training multiple times, information on the score improvement rate resulting from training under specific conditions (with difficulty adjusted) is accumulated. Based on this, it is possible to obtain an expected value for how much the condition score will improve when a specific training is performed under certain conditions (difficulty).

[0058] For example, suppose that the score improvement rates for each body part of a certain subject are as shown in FIG. 9(a) for tongue movement training under the set conditions of parameters of 1 minute, 2 types, and 10 seconds. Furthermore, suppose that the score improvement rates for each body part of a different subject are as shown in FIG. 9(a) for tongue movement training under the set conditions of parameters of 1 minute, 4 types, and 10 seconds. Now, suppose that a certain subject obtains a score improvement rate different from that shown in FIG. 9(a) during tongue movement training under the set conditions of parameters of 1 minute, 2 types, and 10 seconds, as shown in FIG. 9(b). In this case, the training list update unit 15 updates the score improvement rate information for the tongue movement training under the set conditions of parameters of 1 minute, 2 types, and 10 seconds, and sets it to the average score improvement rate of the training under the same conditions shown in FIG. 9(a) and FIG. 9(b), as shown in FIG. 9(c). As a result, the underlined values ​​in FIG. 9(c) are updated to reflect the results shown in FIG. 9(b). Figure 9(c) shows the average of two score improvement data points, but as the number of subjects who undergo tongue movement training under the same conditions increases and the amount of data on the score improvement rate as a result of training increases, it is expected that a more generalized score improvement rate will be obtained. In other words, by averaging the score improvement rates resulting from subjects undergoing training under the same conditions, the expected value of the condition score improvement rate can be obtained. Furthermore, as the amount of data increases, it is thought that the expected value of the score improvement rate will become more accurate.

[0059] In addition, since the score improvement rate can be said to be the result of performing one or more trainings included in the training menu, when updating the score improvement rate obtained from subject X, the score improvement rates for all trainings included in the training menu performed by subject X may be updated (recalculated) based on the newly obtained score improvement rate of subject X.

[0060] In this way, when many subjects who have previously performed training with the same parameter settings have achieved score improvement rates as a result of the training, data summarizing the expected score improvement rates for the training when the type of training and parameters are set can be obtained, as shown in FIG. 10. If this data is already available, the training menu creation unit 12 can create a training menu by referring to the expected improvement rates for each condition score shown in FIG. 10. As an example, in order to increase the score improvement rate of the tongue compared to other parts, tongue exercise training with parameters set to 1 minute, 4 types, and 10 seconds, which has an expected score improvement rate of +70%, is considered effective. Furthermore, for the purpose of increasing the score improvement rate of the lips and jaw, selecting patakara exercise training with parameters set to 2 minutes and 2 types is also considered effective.

[0061] In addition to the above, once the information shown in Figure 10 is obtained, several methods for creating a training menu are possible. As a first example, a training menu can be created by selecting the body part or function to be trained and selecting the training with the highest score improvement rate. As a second example, a training menu can be created by combining trainings so that the average score improvement rate of each training is maximized. As a third example, a training with a high score improvement rate can be selected from among those with similar parameter settings to the current training. As a fourth example, a combination of training time and score improvement rate can be selected to achieve the shortest training time and the highest score improvement rate. In this way, obtaining information related to the expected score improvement rate for each training not only makes it easier to create a training menu to achieve goals, but also enables the creation of a menu that takes efficiency, etc. into consideration.

[0062] In this way, when creating and changing a training menu, the expected rate of score improvement may be taken into consideration.

[0063] Note that, as shown in Fig. 6, it is possible to create a training menu while adjusting the difficulty level according to changes in the score improvement rate, or to select training (and its parameter settings) taking the score improvement rate into consideration as shown in Fig. 8, or these may be combined. For example, for a predetermined period (several months to about a year), it is possible to repeatedly adjust the difficulty level based on changes in the score improvement rate as shown in Fig. 6, and after the predetermined period has passed, it is possible to identify areas where it is desired to further improve the condition score based on the condition score of each area, and then adjust the training menu taking into account the expected values ​​shown in Fig. 10.

[0064] [Training Support Program] 11, the training support program P1 is configured to include a main module m10 that controls overall processing related to training support in the training support device 1, a status score acquisition module m11, a training menu creation module m12, a training menu output module m13, a score improvement rate calculation module m14, and a training list update module m15. The modules m11 to m15 realize the functions of the status score acquisition unit 11, the training menu creation unit 12, the training menu output unit 13, the score improvement rate calculation unit 14, and the training list update unit 15.

[0065] The training support program P1 may be transmitted via a transmission medium such as a communication line, or may be stored in a recording medium M1 as shown in FIG.

[0066] [Effect] According to the training support device 1, the score improvement rate due to training with specific parameter settings is obtained from the condition scores obtained before and after training with the parameter settings. Furthermore, based on this score improvement rate, a new training menu consisting of one or more training exercises for a target body part is created. In this way, the training support device 1 can create training exercises by focusing on the effects of training with specific parameter settings, making it possible to present a more appropriate training menu to the subject.

[0067] Training menu creation unit 12 as a menu creation unit may increase the difficulty of one or more parts of the training when the score improvement rate is equal to or greater than 0, and may maintain or decrease the difficulty when the score improvement rate is negative. In this way, by creating a training menu while adjusting the difficulty of the training according to the score improvement rate, it is possible to present a training menu with a more adjusted intensity to the subject.

[0068] Information relating to the score improvement rate when the training is performed with the parameter settings, calculated by the score improvement rate calculation unit 14, may be associated with the type of training and the parameter settings of the training and stored in the related information storage unit 16, which serves as a score improvement rate information storage unit. Furthermore, the training menu creation unit 12 may create a training menu based on the information stored in the related information storage unit 16. In this case, it becomes possible to create a training menu according to a target score improvement rate, etc., and therefore it becomes possible to more flexibly create a training menu that meets the needs of the subject.

[0069] The training menu creation unit 12 may select the type of training and parameter settings to be performed by the subject so as to increase the score improvement rate for the target body part, based on the above information stored in the related information storage unit 16. With the above configuration, it is possible to select the type of training and parameter settings so as to increase the score improvement rate for the target body part, making it possible to create a training menu suitable for improving training efficiency.

[0070] Information indicating the relationship between the type of training and the target body part for which the training is expected to improve the condition score may be stored in the related information storage unit 16, which serves as a body part relationship information storage unit. Alternatively, the condition score acquisition unit 11 may acquire a condition score for each of multiple target body parts, the score improvement rate calculation unit 14 may calculate a score improvement rate for each of the multiple target body parts, and the training menu creation unit 12 may identify, from the above information, training corresponding to the target body part for which the score improvement rate is desired to be improved based on the score improvement rate for each of the multiple target body parts, and create a training menu including training corresponding to the target body part for which the score improvement rate is desired to be improved. This configuration allows for the creation of a training menu including training for multiple target body parts. Furthermore, by using the information indicating the relationship between the type of training and the target body part for which the training is expected to improve the condition score, it is possible to create a training menu by selecting training corresponding to the target body part for which the score improvement rate is desired to be improved. Therefore, a training menu that is more suited to the subject's situation can be created for a subject who is undergoing training for multiple target body parts.

[0071] As described in the above embodiment, the target area may be, for example, an area related to a physical function such as oral function, or a cognitive function. That is, in hopes of improving a physical function or cognitive function, an area (function) related to these functions may be set as the target area. The condition score of an area related to a physical function or cognitive function can be expected to improve through training. Therefore, by creating a training menu using the above method, improvement in functional status through training can be expected. Note that, as exemplified in the above embodiment, if the condition score related to both one of the physical functions (e.g., oral function) and cognitive function can be improved through the same training, it becomes possible to create a training menu that is easier for the subject to follow, and it becomes possible to provide a training menu that is easy for the subject to follow.

[0072] In the above embodiment, it is assumed that a training menu is created focusing on oral function, but a body function other than oral function may be used as the target body part. In this case, the type of training menu may be changed depending on the target body part. Furthermore, various settings described in the above embodiment, such as score settings, may be changed depending on the target body part and training menu.

[0073] [others] The block diagrams used to explain the above embodiments show functional blocks. These functional blocks (components) are realized by any combination of hardware and / or software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using a single device that is physically or logically coupled, or may be realized using two or more physically or logically separated devices that are connected directly or indirectly (e.g., via wire, wirelessly, etc.) and these multiple devices. A functional block may be realized by combining software with the single device or multiple devices. Furthermore, the term "device" used in the present embodiments may be replaced with "circuit," "device," "unit," etc.

[0074] Functions include, but are not limited to, judgment, determination, judgment, calculation, computation, processing, derivation, investigation, search, confirmation, reception, transmission, output, access, resolution, selection, election, establishment, comparison, assumption, expectation, consideration, broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocation, mapping, and assignment. For example, a functional block (component) that performs transmission is called a transmitting unit or transmitter. As mentioned above, there are no particular limitations on how these functions are implemented.

[0075] The order of the procedures, sequences, flowcharts, etc. of each aspect / embodiment described in this disclosure may be changed unless it is consistent. For example, the methods described in this disclosure present elements of various steps using an example order, and are not limited to the particular order presented.

[0076] Input and output information may be stored in a specific location (for example, memory) or may be managed using a management table. Input and output information may be overwritten, updated, or added to. Output information may be deleted. Input information may be sent to another device.

[0077] The determination may be made based on a value represented by one bit (0 or 1), a Boolean value (true or false), or a numerical comparison (e.g., comparison with a predetermined value).

[0078] Each aspect / embodiment described in this disclosure may be used alone, in combination, or switched depending on the implementation. Furthermore, notification of predetermined information (e.g., notification that "X is true") is not limited to being done explicitly, but may be done implicitly (e.g., by not notifying the predetermined information).

[0079] Software shall be construed broadly to mean instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, functions, etc., whether referred to as software, firmware, middleware, microcode, hardware description language, or otherwise.

[0080] Software, instructions, information, etc. may also be transmitted or received over a transmission medium. For example, if software is transmitted from a website, server, or other remote source using wired technologies (such as coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL)), and / or wireless technologies (such as infrared, microwave), then these wired and / or wireless technologies are included within the definition of transmission media.

[0081] The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc. that may be referred to throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, optical fields or photons, or any combination thereof.

[0082] As used in this disclosure, the terms "system" and "network" are used interchangeably.

[0083] As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of actions. "Determining" and "determining" may include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, searching, inquiring (e.g., searching in a table, database, or other data structure), ascertaining, and the like. "Determining" and "determining" may also include receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, accessing (e.g., accessing data in memory), and the like. Furthermore, "judgment" and "decision" can include regarding resolving, selecting, choosing, establishing, comparing, etc. as having been "judged" or "decided." In other words, "judgment" and "decision" can include regarding some action as having been "judged" or "decided." Furthermore, "judgment (decision)" can be interpreted as "assuming," "expecting," "considering," etc.

[0084] The terms "connected," "coupled," or any variation thereof, refer to any direct or indirect connection or coupling between two or more elements, and may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled" to each other. The coupling or connection between elements may be physical, logical, or a combination thereof. For example, "connected" may be read as "access." As used in this disclosure, two elements may be considered to be "connected" or "coupled" to each other using one or more wires, cables, and / or printed electrical connections, as well as electromagnetic energy having wavelengths in the radio frequency range, microwave range, and optical (both visible and invisible) range, as some non-limiting and non-exhaustive examples.

[0085] As used in this disclosure, the phrase "based on" does not mean "based only on," unless expressly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

[0086] When used in this disclosure, the terms "include," "including," and variations thereof are intended to be inclusive, similar to the term "comprising." Furthermore, when used in this disclosure, the term "or" is not intended to be an exclusive or.

[0087] In this disclosure, where articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are in the plural form.

[0088] In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." The term may also mean "A and B are each different from C." Terms such as "separate" and "coupled" may also be interpreted in the same way as "different."

[0089] [Note] A training support device according to one embodiment includes a condition score acquisition unit that acquires a condition score indicating the functional state of a target body part that is the subject's target for training; a score improvement rate calculation unit that calculates a score improvement rate resulting from training with specific parameter settings based on the condition score obtained from the subject before and after training with the parameter settings; and a menu creation unit that creates a training menu consisting of one or more training exercises related to the target body part based on the score improvement rate.

[0090] According to the training support device, the score improvement rate due to training with specific parameter settings is obtained from the condition scores obtained before and after training with the specific parameter settings. Furthermore, based on this score improvement rate, a new training menu consisting of one or more training exercises for a target body part is created. In this way, the training support device can create training exercises by focusing on the effects of training with specific parameter settings, making it possible to present a more appropriate training menu to the subject.

[0091] The menu creation unit may be configured to increase the difficulty level of some of the one or more exercises when the score improvement rate is 0 or greater, and to maintain or decrease the difficulty level when the score improvement rate is negative.

[0092] As described above, by creating a training menu while adjusting the difficulty of the training according to the rate of score improvement, it is possible to present a training menu with a more adjusted intensity to the subject.

[0093] The training menu may further include a score improvement rate information storage unit that stores information relating to the score improvement rate calculated by the score improvement rate calculation unit when the training is performed with the parameter settings, in association with the type of training and the parameter settings of the training, and the menu creation unit creates the training menu based also on the information stored in the score improvement rate information storage unit.

[0094] When information related to the score improvement rate when training is performed, associated with the type of training and parameter setting as described above, is stored, this information can be used to determine the training and its parameter setting. In this case, it becomes possible to create a training menu according to the target score improvement rate, etc., and therefore it becomes possible to more flexibly create a training menu that meets the needs of the subject.

[0095] The menu creation unit may be configured to select the type of training and parameter settings to be performed by the subject based on the information stored in the score improvement rate information storage unit so as to increase the score improvement rate for the target body part.

[0096] With the above configuration, the type of training and parameter settings can be selected to increase the score improvement rate for the target area, making it possible to create a training menu suitable for improving training efficiency.

[0097] The apparatus may further include a part relationship information storage unit that stores information indicating the relationship between the type of training and the target part for which the training is expected to improve the condition score, wherein the condition score acquisition unit acquires the condition score for each of a plurality of target parts, the score improvement rate calculation unit calculates the score improvement rate for each of the plurality of target parts, and the menu creation unit identifies, based on the score improvement rate for each of the plurality of target parts, from the information stored in the part relationship information storage unit, training corresponding to the target part for which the score improvement rate is desired to be improved, and creates a training menu including training corresponding to the target part for which the score improvement rate is desired to be improved.

[0098] With the above configuration, it is possible to create a training menu that includes training for multiple target body parts. In this case, by using the information in the body part relationship information storage unit, it is possible to create a training menu by selecting training that corresponds to the target body part for which the score improvement rate is desired to be improved. Therefore, for a subject who performs training for multiple target body parts, a training menu that is more suited to the subject's situation can be created.

[0099] The target area may be an area related to physical function or cognitive function. Training of the area related to physical function or cognitive function is expected to improve the condition score. Therefore, by creating a training menu using the above-described method, improvement in functional status through training can be expected. [Explanation of symbols]

[0100] 1... training support device, 11... condition score acquisition unit, 12... training menu creation unit, 13... training menu output unit, 14... score improvement rate calculation unit, 15... training list update unit, 16... related information storage unit.

Claims

1. a condition score acquisition unit that acquires a condition score indicating a functional state of a target part of a subject that is a training target; a score improvement rate calculation unit that calculates a score improvement rate due to training with specific parameter settings from the condition scores obtained from the subject before and after training with the parameter settings; a menu creation unit that creates a training menu consisting of one or more training exercises related to a target body part based on the score improvement rate; and The target site is at least one of a site related to oral function and a site related to cognitive function, The condition score acquisition unit acquires at least one of a condition score indicating a functional state related to the oral cavity function of each of the entire oral cavity, tongue, lips, jaw, and cheeks, and a condition score indicating a functional state related to each of the cognitive functions of cognitive function, memory, and judgment, the score improvement rate calculation unit calculates the score improvement rate for the condition score acquired by the condition score acquisition unit; the menu creation unit creates a training menu for at least one of the oral function training, which includes Patakara exercises, lip exercises, and tongue exercises, and the cognitive function training, which includes calculation, an N-back task, an inhibition task, and a memory task. Training aids.

2. 2. The training support device according to claim 1, wherein the menu creation unit increases the difficulty level of a portion of the one or more training exercises when the score improvement rate is equal to or greater than 0, and maintains or decreases the difficulty level when the score improvement rate is negative.

3. a score improvement rate information storage unit that stores information relating to the score improvement rate calculated by the score improvement rate calculation unit when the training is performed with the parameter settings, in association with the type of training and the parameter settings of the training; 3. The training support device according to claim 1, wherein the menu creation unit creates the training menu based also on information stored in the score improvement rate information storage unit.

4. 4. The training support device according to claim 3, wherein the menu creation unit selects a type of training and parameter settings to be performed by the subject based on the information stored in the score improvement rate information storage unit so as to increase the score improvement rate for the target body part.

5. The device further includes a body part relationship information storage unit that stores information indicating the relationship between the type of training and the target body part whose condition score is expected to improve as a result of the training, the condition score acquisition unit acquires a condition score for each of a plurality of target parts; the score improvement rate calculation unit calculates the score improvement rate for each of a plurality of target sites; The training support device according to any one of claims 1 to 4, wherein the menu creation unit identifies, based on the score improvement rate of each of the plurality of target parts, training corresponding to the target parts for which the score improvement rate is desired to be improved from the information stored in the part relationship information storage unit, and creates a training menu including training corresponding to the target parts for which the score improvement rate is desired to be improved.

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