JP2022126288A - Mastication improvement proposal system, mastication improvement proposal program, and mastication improvement proposal method - Google Patents

Abstract

To provide a mastication improvement proposal system, a mastication improvement proposal program, and a mastication improvement proposal method, enabling proposal aiming at improving mastication functions of users.SOLUTION: In a mastication improvement proposal system 1, a control unit 2 comprises: a mastication-related information acquisition unit 21 acquiring the mastication-related information relating to a user's mastication motion; an improvement action determination unit 22 determining the improvement action for improving a masticatory function of the user based on the mastication- related information; and a notification unit 23 notifying the improvement action determined by the improvement action determination unit 22.SELECTED DRAWING: Figure 1

Description

TECHNICAL FIELD The present invention relates to a mastication improvement proposal system, a mastication improvement proposal program, and a mastication improvement proposal method for making proposals aimed at improving a user's masticatory function.

Chewing food, swallowing behavior, salivary secretion, etc. have a great influence on the brain and the whole body, and greatly affect mental and physical health and healthy life expectancy. Maintaining and improving the health of the oral and pharyngeal regions is said to result in longer healthy life expectancy.

In particular, adequate chewing of chewy meals promotes mental and physical growth, activates the brain, improves motor function, prevents obesity, slows down aging, and maintains social skills. It is effective in extending healthy life expectancy. It is said that there is Insufficient mastication, such as ingestion of meals with a small number of times of mastication, is known to lead to a decline in masticatory function in developing children and oral frailty in the elderly (see Non-Patent Document 1).

Yoshinori Kobayashi, Requested Paper Healthy life expectancy created by occlusion and mastication, Ann Jpn Prosthodont Soc3, p189-219, 2011

As mentioned above, chewing exercise is known to affect health, but it is difficult for users without specialized knowledge to determine how to improve their own chewing exercise. . Moreover, since mastication is usually performed unconsciously, it is not easy for the user to improve the unconscious mastication.

SUMMARY OF THE INVENTION An object of the present invention is to provide a mastication improvement proposal system, a mastication improvement proposal program, and a mastication improvement proposal method that are capable of making proposals aimed at improving the user's masticatory function.

A mastication improvement proposal system according to the present invention is a mastication improvement proposal system that makes a proposal for the purpose of improving a user's masticatory function, and is a mastication-related information acquisition system that acquires mastication-related information related to the masticatory movement of the user. an improvement action determination unit that determines an improvement action for improving the masticatory function of the user based on the mastication-related information; and a notification unit that notifies the improvement action determined by the improvement action determination unit. Prepare.

Further, a mastication improvement proposal program according to the present invention is a mastication improvement proposal program for making a proposal for the purpose of improving a user's masticatory function, and includes a mastication-related information acquisition unit that acquires mastication-related information related to masticatory motion. , a computer as an improvement action determination unit for determining an improvement action for improving the masticatory function of the user based on the mastication-related information, and a notification unit for notifying the improvement action determined by the improvement action determination unit; make it work.

A mastication improvement proposal method according to the present invention is a mastication improvement proposal method for making a proposal for the purpose of improving a user's masticatory function, comprising: (1) obtaining mastication-related information related to the user's masticatory motion; and (2) determining an improvement action for improving the user's masticatory function based on the mastication-related information, and notifying the improvement action determined in (2).

According to these configurations, it is possible to make suggestions aimed at improving the masticatory function of the user.

Also, the mastication-related information preferably includes measurement information measured from the user by a predetermined measurement method.

According to this configuration, the improvement action is determined based on the objective measurement information measured by the user, so the accuracy of determination of the improvement action is improved.

In addition, the measurement method includes oral diadocokinesis, still image photography, video photography, occlusal pressure measurement, tongue pressure measurement, lip closure force measurement, electromyography measurement, oral moisture measurement, mastication acceleration measurement, mastication-related position measurement, and breath odor measurement.

Oral diadocokinesis, still image photography, video photography, bite pressure measurement, tongue pressure measurement, lip closure force measurement, electromyography measurement, oral moisture measurement, mastication acceleration measurement, mastication-related position measurement, and breath odor measurement It is suitable as a measurement method for judging improvement behavior.

Moreover, it is preferable that the mastication-related information further includes user information answered by the user.

According to this configuration, since improvement actions are determined based on user information including subjective information answered by the user, the accuracy of determination of improvement actions is improved.

Moreover, it is preferable that the user information includes attribute information relating to the age of the user and answer information other than the attribute information.

Attribute information related to the user's age and answer information other than the attribute information are suitable as information for determining improvement actions.

Moreover, it is preferable that the user information includes attribute information related to the gender of the user and answer information other than the attribute information.

Attribute information related to the user's gender and answer information other than the attribute information are suitable as information for determining improvement actions.

Moreover, it is preferable that the user information includes attribute information relating to the user's age and sex, and answer information other than the attribute information.

Attribute information relating to the user's age and gender and answer information other than the attribute information are suitable as information for determining improvement actions.

Moreover, it is preferable that the mastication-related information acquisition unit selects the measurement method based on the user information, and further acquires the measurement information based on the selected measurement method as the mastication-related information.

According to this configuration, since the measurement method is selected based on the user information, it becomes easy to obtain measurement information suitable for improving the masticatory function of the user.

Moreover, it is preferable that the improvement action determination unit adjusts the determination of the improvement action based on the attribute information.

According to this configuration, since the determination of the improvement action is adjusted based on the user's attribute information, the accuracy of the determination of the improvement action is improved.

The user information preferably includes at least one of information on the number of teeth, information on symptoms related to mastication, and information on lifestyle habits.

Information about the number of teeth, information about symptoms related to mastication, and information related to lifestyle habits are suitable as information for determining improvement behavior.

In addition, the improvement action includes at least one of chewing a predetermined food, chewing training using a predetermined training device, chewing training gymnastics, chewing training based on chewing instruction, and visiting a dentist. is preferred.

Chewing predetermined food, mastication training using predetermined training equipment, predetermined mastication exercise, mastication training based on mastication guidance, and visiting a dentist are suitable actions for improving the user's masticatory function. is.

In addition, the improvement action includes chewing a predetermined food, and the improvement action determination unit further determines that the improvement action is a food having hardness, adhesiveness, elasticity, and size appropriate for the food. It is preferable to determine at least one of them.

According to this configuration, chewing food that satisfies at least one of appropriate hardness, adhesiveness, elasticity, and size is proposed as an improvement action. can be expected to effectively improve masticatory function.

In addition, it is preferable that the improvement action determination unit further determines at least one of the number of times of chewing the food and the amount of the food put into the mouth at one time, as the improvement action.

According to this configuration, since at least one of the number of chewing times and the amount of the food put into the mouth at one time when chewing the food is suggested as an improvement action, the user can eat according to this suggestion. Therefore, effective improvement of masticatory function can be expected.

Further, the improvement action determination unit acquires at least one of the type, amount, and size of the food as food information, and determines the food as the improvement action based on the mastication-related information and the food information. It is preferable to determine at least one of the number of times of chewing and the amount of the food to be put into the mouth at one time when chewing the food.

According to this configuration, when the user eats the food prepared by the user, the improvement action determination unit acquires at least one of the type, amount, and size of the food as the food information. When eating, it is possible to propose how to eat foods that can be expected to improve masticatory function.

In addition, it is preferable that the improvement action determination unit acquires the food information from an image of the food.

According to this configuration, when the user eats the food prepared, the improvement action determination section can acquire the food information simply by taking an image of the food.

Further, the notification unit acquires life pattern information indicating the life pattern of the user, and determines the timing of notifying the improving behavior based on the life pattern information.

According to this configuration, the user can take an improvement action at an appropriate timing for the user to take the improvement action.

In addition, there are a plurality of mastication-related information, and each of the mastication-related information includes a weight that quantifies the degree of influence corresponding to each of a plurality of improvement issues preset as issues to be improved in the masticatory motion. is set, and the improvement action determination unit sums the weight of mastication-related information determined to be problematic among the plurality of mastication-related information for each of the plurality of improvement tasks, and the total value is the highest. It is preferable to determine a large improvement problem and determine the improvement action based on the determined improvement problem.

According to this configuration, the improving action determination unit can determine improving actions based on a plurality of pieces of mastication-related information.

The mastication improvement proposal system, the mastication improvement proposal program, and the mastication improvement proposal method configured as described above can make proposals aimed at improving the user's masticatory function.

1 is a block diagram showing an example of the configuration of a mastication improvement proposal system using a mastication improvement proposal method according to an embodiment of the present invention; FIG. It is the graph which simplified and showed an example of temporal change information typically. FIG. 4 is an explanatory diagram schematically showing a simplified example of a masticatory motion path for right chewing; FIG. 4 is an explanatory diagram schematically showing a simplified example of a chewing motion path for left biting. 2 is a flow chart showing an example of the operation of the mastication improvement proposal system shown in FIG. 1; 4 is a flowchart showing an example of mastication-related information acquisition processing; It is explanatory drawing which matches and demonstrates a user's age and a user's time. It is an explanatory view for explaining an example of a selection method of a measuring method. It is an explanatory view for explaining an example of a selection method of a measuring method. It is a flow chart which shows an example of improvement action judgment processing. FIG. 10 is an explanatory diagram showing an example of a lookup table for evaluating answer information; FIG. 4 is an explanatory diagram showing an example of a lookup table for evaluating measurement information; FIG. 10 is an explanatory diagram for explaining an example of a method of determining an improvement problem from an evaluation result of response information and an evaluation result of measurement information; FIG. 10 is an explanatory diagram showing an example of a lookup table that associates improvement tasks with improvement actions; FIG. 4 is an explanatory diagram showing an example of lifestyle pattern information; 6 is a flowchart showing another example of the operation of the mastication improvement proposal system shown in FIG. 5;

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment according to the present invention will be described below with reference to the drawings. It should be noted that the same reference numerals in each figure indicate the same configuration, and the description thereof will be omitted. FIG. 1 is a block diagram showing an example of the configuration of a mastication improvement proposal system that uses a mastication improvement proposal method according to an embodiment of the present invention.

A mastication improvement proposal system 1 shown in FIG. The mastication improvement proposal system 1 can be configured by, for example, a so-called smart phone, tablet terminal, personal computer, or the like. Note that the mastication improvement proposal system 1 is not limited to the example provided with the camera 4 , the touch panel display 5 , and the speaker 6 .

Further, the mastication improvement proposal system 1 does not need to be configured as a single device such as a smart phone, and may be configured from a plurality of devices. Also, the control unit 2 may be composed of a plurality of devices. At least some of the storage unit 3, the camera 4, the touch panel display 5, the speaker 6, and the control unit 2 (or each unit constituting the control unit 2) may be arranged in different locations via a network. .

For example, the camera 4, the touch panel display 5, and the speaker 6 may be arranged near the user, and the control unit 2 may be connected to the camera 4, the touch panel display 5, and the speaker 6 via a network. Alternatively, for example, the camera 4, the touch panel display 5, the speaker 6, and the control section 2 may be arranged near the user, and the storage section 3 may be connected to the control section 2 via a network. Alternatively, the control unit 2 may not include the improvement action determination unit 22, which will be described later, and the improvement action determination unit 22 may be configured by a server device connected to the control unit 2 via a network.

The storage unit 3 is a nonvolatile storage device such as a flash memory, HDD (Hard Disk Drive), SSD (Solid State Drive), or the like. The storage unit 3 stores in advance lookup tables 31 to 35, which will be described later. The storage unit 3 may store a mastication improvement proposal program according to an embodiment of the present invention.

The camera 4 is, for example, a CCD (Charge Coupled Device), a CMOS (Complementary Metal Oxide Semiconductor) camera, or the like. The camera 4 transmits the captured moving image as a moving image M to the control unit 2 .

The touch panel display 5 is an input/output operation device in which a display device such as a liquid crystal display or organic EL (Electro Luminescence) is integrated with a touch panel. A display device and an input/output operation device may be provided instead of the touch panel display 5 . The input/output operating device may be a mouse or keyboard. The touch panel display 5 receives a user's operation, transmits it to the control unit 2 , and displays an image according to a signal from the control unit 2 .

The speaker 6 outputs sound according to the signal from the control section 2 .

The control unit 2 includes, for example, a CPU (Central Processing Unit) that executes predetermined arithmetic processing, a RAM (Random Access Memory) that temporarily stores data, a nonvolatile storage device, and peripheral circuits thereof. It is The control unit 2 functions as a mastication-related information acquisition unit 21 , an improvement action determination unit 22 , and a notification unit 23 by executing the mastication improvement proposal program stored in the storage unit 3 .

The mastication-related information acquisition unit 21 acquires mastication-related information related to the user's mastication movement. The mastication-related information includes measurement information measured by the user by a predetermined measurement method and user information answered by the user.

Measurement methods include oral diadocokinesis, still image photography, video photography, occlusal pressure measurement, tongue pressure measurement, lip closure force measurement, electromyography measurement, oral moisture measurement, mastication acceleration measurement, mastication-related position measurement, and exhalation At least one of the odor measurements can be used. In addition, you may use methods other than these as a measuring method. The mastication acceleration is the acceleration of movement of the mouth during mastication, and can be, for example, the acceleration of movement of dynamic feature points, which will be described later. The mastication-related position is the position of the part that moves during mastication, and can be, for example, a dynamic feature point described later. Occlusion pressure measurement, tongue pressure measurement, lip closure force measurement, electromyography measurement, oral moisture measurement, mastication acceleration measurement, mastication-related position measurement, and breath odor measurement are performed It can be done by an electromyograph, an oral moisture meter, an accelerometer, a position sensor, and an odor sensor.

The user information includes attribute information regarding the user's age and gender, and answer information other than the attribute information. Note that the attribute information may be either one of age and sex. Also, the user information does not have to include attribute information.

The answer information, which is user information, includes at least one of information about the number of teeth, information about symptoms related to mastication, and information related to lifestyle habits.

As information on the number of teeth, for example, the number of current teeth, the number of functional teeth that is the number of functioning teeth, the presence or absence of caries that affects chewing, the number of primary teeth, the number of permanent teeth, etc. can be done.

Information on symptoms related to mastication includes the presence or absence of teeth grinding, jaw pain, thirst, dry mouth, dry lips, and dry mouth during meals. , dry mouth during sleep, difficulty in eating dry food, difficulty in swallowing food, spillage, uneven mastication, appetite Whether or not you are bothered by bad breath, whether you chew for a long time or not, whether you open your mouth while eating, whether you can see your tongue sticking out while eating, whether you normally open your mouth , whether or not you snore, whether or not you can chew hard, whether or not your jaw is jerky, whether or not your teeth are aligned properly, whether or not you have habits such as thumb sucking, whether or not you swallow whole, Whether or not food remains in the mouth, whether or not there is a problem with a live tongue, and whether or not choking during eating can be used.

As information related to lifestyle habits, it is possible to use the types of foods that can be eaten, the number of meals, the number of times of brushing teeth, the number of times of gargling, whether meals and brushing teeth are regular, and the like.

Note that the user information may be information other than these information.

The mastication-related information acquisition unit 21 can display, for example, a predetermined request item on the touch panel display 5, and accept information input by the user by operating the touch panel display 5 in response to the request item as user information.

In addition, the mastication-related information acquisition unit 21 obtains a moving image M or a still image obtained by photographing an area including at least one of the user's own mouth and the peripheral part of the mouth with the camera 4 when the user eats. G can be acquired as mastication-related information.

The mastication-related information acquisition unit 21 may acquire, from the moving image M, for example, the user's mastication count CT, interval information TW relating to the user's mastication time interval, and the user's mastication motion path PW. The mastication-related information acquisition unit 21 can acquire the number of times of mastication CT, the interval information TW, and the like in the following manner. The mastication-related information acquisition unit 21 detects facial feature points from the moving image M. FIG. The feature points of the face include dynamic feature points that move with mastication and static feature points that do not move with mastication.

As facial feature points, for example, the tip of the nose, base of the nose, corners of the mouth, apex of the upper lip, apex of the lower lip, apex of the chin, and points along the contour of the cheek near the masseter muscle can be used. As such feature point detection methods, various known face feature point detection techniques such as active shape model (ASM), active appearance model (AAM), and constrained local model (CLM) can be used.

The mastication-related information acquisition unit 21 may acquire the deviation amount X24 of the position of the mouth corners and/or the shape of the mouth corners as the mastication-related information by extracting the corners of the mouth as feature points from the still image G or the moving image M. . For the deviation amount X24 of the mouth corner position, for example, a vertical line passing through the center of the lip with respect to the center line of the face can be drawn, and the distance between the vertical line and the position of the mouth corner can be used. The mastication-related information acquisition unit 21 may further acquire whether the corners of the mouth are above or below the vertical line as mastication-related information. In addition, the mastication-related information acquisition unit 21 acquires information such as whether the corners of the mouth are raised or lowered, whether the right corners are higher than the left corners, or whether the left corners are higher than the right corners, as mastication-related information. may

Further, the mastication-related information acquisition unit 21 extracts the apex of the upper lip and the apex of the lower lip as feature points from the still image G or the moving image M, and measures the distance between them to acquire the opening amount X25. good too.

As dynamic feature points, for example, any one of the corners of the mouth, the apex of the upper lip, the apex of the lower lip, the apex of the chin, and points along the contour of the cheek near the masseter muscle can be used. As a static feature point, for example, either the tip of the nose or the base of the nose can be used.

Furthermore, the mastication-related information acquiring unit 21 acquires from the moving image M temporal change information A that indicates the temporal change of the distance L between the dynamic feature point and the static feature point.

FIG. 2 is a graph schematically showing a simplified example of temporal change information A. As shown in FIG. The horizontal axis indicates time, and the vertical axis indicates distance L. FIG. FIG. 2 shows an example in which the dynamic feature point is the top of the lower lip and the static feature point is the tip of the nose. According to the temporal change information A shown in FIG. It is possible to read the masticatory movement that reaches the opening point P2, decreases the distance L, and reaches the mastication end point P3 of the minimum peak.

The mastication-related information acquisition unit 21 acquires temporal change information A from the moving image M, and counts the number of chewing times CT of the user from the temporal change information A. FIG. For example, the mastication-related information acquisition unit 21 can count the number of times CT of mastication by the user by counting from the mastication start point P1 to the mastication end point P3 in the temporal change information A as one mastication motion.

Further, the mastication-related information acquisition unit 21 acquires temporal change information A from the moving image M, and from the temporal change information A, interval information TW relating to the time interval of chewing by the user. For example, the mastication-related information acquisition unit 21 obtains the interval information TW by measuring the time from the mastication start point P1 to the mastication end point P3 in the temporal change information A, i.e., one mastication time, as the interval information TW. can be obtained. In this case, since the mastication end point P3 is also the starting point of the next mastication, the interval information TW is also the time representing the interval between mastications.

Further, the mastication-related information acquisition unit 21 can calculate a speed deviation X29, which is a deviation of the mastication speed, from variations in the interval information TW for a plurality of times obtained within a predetermined period.

Note that the interval information TW may be any information relating to the time interval between chewing by the user, and is not necessarily limited to one chewing time or the interval between chewings. For example, the interval information TW may be a preset set time, such as the number of chews per minute. The interval information TW may be any information relating to the time interval of mastication by the user and indicating whether the mastication is fast or slow.

Further, the mastication-related information acquisition unit 21 may acquire the mastication motion path PW of the user from the moving image M. FIG.

3 and 4 are explanatory diagrams schematically showing a simplified example of the mastication motion path PW. The masticatory motion path PW shown in FIGS. 3 and 4 is shown on the XY plane of two-dimensional coordinates, with the horizontal direction being the X axis and the vertical direction being the Y axis. The −X direction indicates the right direction, and the +X direction indicates the left direction. The chewing motion path PW shown in FIGS. 3 and 4 corresponds to the trajectory of the dynamic feature points during the chewing motion when the human face is viewed from the front. FIG. 3 shows the chewing motion path PW for right chewing with the right teeth, and FIG. 4 shows the left chewing with the left teeth.

As shown in FIGS. 3 and 4, it is known that the masticatory motion path PW is inclined differently between right and left chewing. The mastication-related information acquisition unit 21 can acquire the presence or absence of uneven mastication, which is biased towards right or left chewing, based on the inclination of the masticatory motion path PW.

The mastication-related information acquisition unit 21 acquires the relative coordinate positions of the dynamic feature points with respect to the static feature points from the moving image M, and plots them on the XY plane to obtain the masticatory motion shown in FIGS. A path PW can be obtained.

The improvement action determination unit 22 determines an improvement action for improving the user's masticatory function based on the mastication-related information. Improvement behaviors include chewing prescribed food, chewing training (training) using prescribed training equipment (oral function trading equipment), prescribed chewing training exercise (e.g. Patacara exercise), and chewing training based on chewing instruction (e.g. , motion training), and/or a visit to the dentist.

For example, the improvement action determination unit 22 can determine, as an improvement action, attributes of food that are highly likely to improve the masticatory function of the user and how to masticate the food when chewed by the user.

At least one of hardness, stickiness, elasticity, and size, for example, can be used as the food attribute. At least one of the number of times of mastication and the amount (number) of food put into the mouth at one time can be used as a method of masticating food.

In addition, it is not limited to the example in which the improvement action determination unit 22 determines the attribute of the food. For example, the user operates the touch panel display 5 to input the attribute of the food as food information, and the improvement action determination unit 22 determines whether the food is masticated based on the food information obtained from the touch panel display 5 and the mastication-related information. You may judge the way of improvement as an improvement action.

Alternatively, the user may take an image of the food with the camera 4, and the improvement action determination unit 22 may acquire the food information from the image of the food. Then, based on the mastication-related information and the food information, the improvement action determination unit 22 determines at least one of the number of times the food is chewed and the amount (number) of food put into the mouth at one time as an improvement action. You can judge.

As a method of obtaining food information from images, for example, image analysis by artificial intelligence can be used. .news/6222”, “https://www.itmedia.co.jp/news/articles/1910/03/news077.html”, etc. can be used.

The notification unit 23 notifies the improvement action determined by the improvement action determination unit 22 by, for example, displaying it on the touch panel display 5 or outputting the sound from the speaker 6 .

The notification unit 23 acquires life pattern information indicating the user's life pattern, and determines the timing of notifying the improvement behavior based on the life pattern information. Life pattern information includes, for example, wake-up time, breakfast time, commuting time (going), lunch time, commuting time (returning), dinner time, and bedtime. The notification unit 23 can acquire the lifestyle pattern information accepted by the touch panel display 5, for example, when the user operates the touch panel display 5 and inputs the lifestyle pattern information as described above.

Based on the life pattern information, the notification unit 23, for example, is between the wake-up time and the bedtime, and a predetermined time before the breakfast time, lunch time, and dinner time, for example, about 30 minutes before the improvement action. can be determined as the notification timing, and the improvement action can be notified at the determined timing.

In this way, after the user takes the improvement action, the user eats without taking a long time, and therefore, an improvement in masticatory function during eating can be expected.

Further, when the improvement action determined by the improvement action determination unit 22 is, for example, chewing gummy or gum of a predetermined hardness, the notification unit 23 sets the time during commuting time as the timing for notifying the improvement action. , and the improvement action can be notified at the determined timing.

In this way, the user can make effective use of his/her commuting time to take improvement actions, thereby eliminating the need to spend time only for improvement activities, resulting in improved convenience for the user.

Next, the operation of the mastication improvement proposal system 1 will be described. FIG. 5 is a flow chart showing an example of the operation of the mastication improvement proposal system 1 shown in FIG. In the following flowcharts, the same step numbers are given to the same processes, and the description thereof will be omitted.

First, the mastication-related information acquisition unit 21 executes mastication-related information acquisition processing to acquire user's mastication-related information (step S1). FIG. 6 is a flowchart showing an example of mastication-related information acquisition processing.

First, the mastication-related information acquisition unit 21 causes the touch panel display 5 to display, for example, a message such as "Please enter your age and gender", and the user's age and gender entered by operating the touch panel display 5 are displayed. is acquired as attribute information (step S11). As the information regarding age, the user may input the date of birth instead of the age, or the mastication-related information acquisition unit 21 may calculate the age from the date of birth.

Further, the mastication-related information acquisition unit 21 may acquire only one of age and sex as attribute information. Alternatively, step S11 may not be executed, and the mastication-related information acquisition unit 21 may not acquire attribute information.

Next, the mastication-related information acquisition unit 21 prompts the user to answer a plurality of preset question items by, for example, sequentially displaying the question items on the touch panel display 5 (step S12).

The question items include, for example, the number of teeth of the user, the number of functional teeth, the ease of swallowing, the presence or absence of jaw pain, the presence or absence of dental caries, the number of treated teeth, the presence or absence of abnormal occlusion, and bad breath. Whether or not there is a lot of food spillage, whether or not you are easily thirsty, whether or not you are prone to coughing, the amount of mouth opening, and whether or not you eat regularly, etc. can be used.

Note that the mastication-related information acquisition unit 21 may set question items based on the age obtained as the attribute information. FIG. 7 is an explanatory diagram for describing the age of the user and the time period of the user in association with each other. As shown in FIG. 7, the age of the user is ``weaning period to when baby teeth grow'', ``baby teeth period'', ``change from baby teeth to permanent teeth'', ``until adult age'', ``up to pre-oral frailty'', and ``pre-oral frailty''. It can be associated with each period of "oral frailty to oral frailty" and "elderly".

Then, the mastication-related information acquisition unit 21, when the user's age corresponds to the period of "baby food period to baby tooth growth", "baby tooth period", "change from baby teeth to permanent teeth", and "adult age", Question items related to underdevelopment of oral functions may be set. In addition, the mastication-related information acquisition unit 21 may set question items related to deterioration of oral cavity functions when the user's age corresponds to "up to pre-oral frailty" or "from pre-oral frailty to oral frailty".

For example, the time No. shown in FIG. In the case of 1 to 3, question items such as "Are you eating baby food?" and "Do you have baby teeth?" If it corresponds to 4 to 7, it is not necessary to set "Are you eating baby food?"

Also, when the time no. 3 to 5, a question item such as "Do you have uneven mastication?" In the case of 1, 2, 6, and 7, it is not necessary to set "Do you have uneven mastication?" as a question item. Time No. In the case of No. 6 and 7, the degree of influence of uneven mastication on the deterioration of masticatory function is low. This is because uneven chewing may affect jaw pain and discomfort in cases 3 to 5.

Also, when the time no. In the case of 1 to 3, "ease of swallowing" and "jaw pain" need not be set as question items. Also, when the time no. If it corresponds to 1 to 4, set the question item "Do you drink whole?" In the case of 5 to 7, it is not necessary to set the question item "whether there is swallowing".

Next, the mastication-related information acquisition unit 21 acquires the answer information of the user's answer to the question item as the mastication-related information (step S13). Attribute information and answer information correspond to an example of user information.

Next, the mastication-related information acquisition unit 21 selects a measurement method based on the answer information (step S14).

8 and 9 are explanatory diagrams for explaining an example of the selection method of the measurement method. For example, the lookup table 31 shown in FIG. 8 and the lookup table 32 shown in FIG. 9 are stored in the storage unit 3 in advance.

The lookup table 31 shown in FIG. 8 associates each question item with the answer information determination (determination method: determination result) for each question item and the weight for each determination result. Question items included the number of teeth of the user, the number of functional teeth, the ease of swallowing, the presence or absence of jaw pain, the presence or absence of dental caries, the number of teeth that had been treated, the presence or absence of abnormal occlusion, and bad breath. whether or not there is a lot of food spillage, whether or not the person is easily thirsty, whether or not the person is likely to cough, and the amount of mouth opening.

The question items shown in FIG. 8 are examples, and only some of them may be used, or other question items may be used.

In the lookup table 31, the determination threshold Ref1 is used to determine the number of teeth, the determination threshold Ref2 is used to determine the number of functional teeth, and the determination threshold Ref3 is used to determine the number of treated teeth. , a determination threshold value Ref4 is used to determine the opening amount. Appropriate values are set in advance for the determination thresholds Ref1 to Ref4 for combinations of age and sex obtained as attribute information.

Note that the determination thresholds Ref1 to Ref4 are not limited to the example set for the combination of age and sex, and may be set for age only, or may be set for sex only. It may be fixedly set regardless of gender.

The mastication-related information acquiring unit 21 refers to the lookup table 31, and, for example, when the “number of teeth X1” is less than the determination threshold value Ref1, sets the determination result of the “number of teeth X1” to “1”, If the "number of teeth X2" is less than the judgment threshold Ref2, the judgment result of the "number of functional teeth X2" is set to "1". For example, if the "number of treated teeth X6" exceeds the judgment threshold Ref3, The determination result of "the number of teeth X6" is set to "1". For example, when the "opening amount X12" is less than the determination threshold value Ref4, the determination result of the "opening amount X12" is set to "1".

Further, the mastication-related information acquiring unit 21 refers to the lookup table 31, and sets the determination result of the “ease of swallowing” to “1” if, for example, the “ease of swallowing” is difficult, and if it is easy to The determination result of "ease of swallowing" is set to "0". For other question items, the mastication-related information obtaining unit 21 sets the determination result to "1" when the answer information is "yes", and sets the determination result to "0" when the answer information is "no".

In the lookup table 32 shown in FIG. 9, each question item is associated with a risk item. Also, each risk item is associated with a measurement method.

Risk items include, for example, masticatory function, swallowing function, temporomandibular disorder, and oral care. In the lookup table 32, when the determination result for the question item is "1", that is, when there is a problem, "1" is entered in the corresponding risk item column. For example, if there is a missing tooth, the column for oral care is "1", if there is an abnormality in the bite, the column for masticatory function, swallowing function, and temporomandibular disorder is "1", and if you are thirsty easily, masticatory function. , the column of oral care is set to "1". In addition, the lookup table 31 indicates the measurement method corresponding to each risk item with a circle mark.

The mastication-related information acquisition unit 21 totals the number of "1"s in the corresponding question items for each risk item in the lookup table 31, and selects the measurement method corresponding to the risk with the largest value.

For example, if there are two items of problem in the answer information, "presence of abnormal bite" and "prone to coughing", the total value of masticatory function is 1, the total value of swallowing function is 2, and the total value of swallowing function is 2. Since the total value for arthritis is 1 and the total value for oral care is 0, the swallowing function has the largest total value. In this case, the mastication-related information acquisition unit 21 selects oral diadocokinesis, moving image photography, and electromyography measurement, which are associated with the swallowing function by the lookup table 31, as the measurement method.

Next, the mastication-related information acquisition unit 21 prompts the user to perform measurement using the selected measurement method by, for example, displaying a message on the touch panel display 5 (step S15). For example, when oral diadocokinesis, video recording, and electromyography measurement are selected as the measurement method, the mastication-related information acquisition unit 21 outputs "Please perform oral diadocokinesis, video recording, and electromyography measurement." , displays a message such as "Please enter these measurement results".

Next, the mastication-related information acquisition unit 21 acquires the measured measurement information as mastication-related information (step S16).

For example, in the case of oral diadocokinesis, the user repeatedly utters ``pa'', ``ta'' and ``ka'', and the microphone 7 detects and counts the sounds, thereby determining the number of ``pa''s uttered by the user within a certain period of time. The mastication-related information obtaining unit 21 may measure and obtain the number of times X21, X22, X23 of "ta" and "ka", that is, oral diadocokinesis. Alternatively, the user may measure the oral diadocokinesis by himself/herself and operate the touch panel display 5 to input the number of times X21, X22, and X23 of "pa", "ta", and "ka" measured.

For example, in the case of video shooting, the mastication-related information acquisition unit 21 captures an area including at least one of the user's mouth and the periphery of the mouth with the camera 4 when the user eats. A moving image M can be obtained.

As described above, the mastication-related information acquisition unit 21 may perform the measurement by the selected measurement method, or the user may input the measurement result to the mastication improvement proposal system 1 as the measurement information.

As described above, mastication-related information is obtained through steps S11 to S16, and the process proceeds to step S2.

Next, the improving action determination unit 22 determines an improving action for improving the user's masticatory function based on the mastication-related information (step S2).

FIG. 10 is a flow chart showing an example of improvement action determination processing in step S2. First, the improvement action determination unit 22 evaluates the answer information obtained in step S13 (step S21).

FIG. 11 is an explanatory diagram showing an example of the lookup table 33 for evaluating answer information. The lookup table 33 associates answer information for each question item with judgment (judgment method: judgment result), weight, and evaluation result for each answer information. Determination (determination method: determination result) is the same as in FIG. 8, so description thereof is omitted. Note that the answer information shown in FIG. 11 is an example, and only a part of these may be used, or other answer information may be used.

Each piece of answer information is associated with a weight and an evaluation result for each improvement issue. A plurality of improvement issues are set in advance as issues to be improved in masticatory motion. For example, weights w1 to w12 corresponding to the improvement issue “only circles”, weights v1 to v12 corresponding to the improvement issue “decreased function, poor condition”, and weights u1 to u12 corresponding to the improvement issue “arthritis” are included in each answer information. are mapped.

The weight is a quantification of the degree of influence of each item of mastication-related information (response information, measurement information) on each improvement task, and the greater the weight value, the greater the degree of influence.

In addition, the evaluation results A1 to A12 corresponding to the improvement issue "circular only", the evaluation results B1 to B12 corresponding to the improvement issue "decreased function, disorder", and the evaluation results C1 to C12 corresponding to the improvement issue "arthritis" are shown. Corresponds to the answer information. An evaluation result is obtained as a product of the determination result and the weight.

For example, if the answer information “the number of teeth X1” is smaller than the determination threshold Ref1, the determination result is “1”, and the evaluation result is 1×w1=w1=A1, 1×v1=v1=B1, 1×u1= u1=C1. On the other hand, if the "number of teeth X1" is equal to or greater than the determination threshold Ref1, the determination result is "0", and the evaluation result is 0xw1=0=A1, 0xv1=0=B1, 0xu1=0. = C1.

For example, if the answer information “dental caries” is “present”, the determination result is “1”, and the evaluation result is 1×w5=w5=A5, 1×v5=v5=B5, 1×u5=u5=C5. becomes. On the other hand, if the "dental caries" is "absent", the determination result is "0", and the evaluation result is 0xw5=0=A5, 0xv5=0=B5, 0xu5=0=C5. .

A judgment result of "1" means that each piece of mastication-related information (answer information, measurement information) has "problems", and a judgment result of "0" means that each piece of mastication-related information (answer information, measurement information) has "no problems". is doing.

In addition, due to space limitations, the three examples of improvement issues are "circular only", "decreased function, poor function" and "arthrosis", but the improvement issues are not limited to these, and other improvement issues may be used. , other improvement tasks may be added, and similarly, determinations, weights, and evaluation results may be associated with other improvement tasks.

Further, the opening amount X25 may be obtained as measurement information from a still image G or a moving image M as described later, instead of being input by the user as answer information.

The improvement action determination unit 22 can refer to, for example, the lookup table 33 stored in the storage unit 3 to obtain evaluation results A1 to A12, B1 to B12, and C1 to C12 for each answer information.

Next, the improvement action determination unit 22 evaluates the measurement information obtained in step S16 (step S22). FIG. 12 is an explanatory diagram showing an example of the lookup table 34 for evaluating measurement information. The lookup table 34 associates measurement information for each measurement method, judgment (judgment method: judgment result), weight, and evaluation result for each measurement information.

In the lookup table 34, a determination threshold value Ref21 is used to determine the number of times "pa" in oral diadocokinesis X21, and a determination threshold value Ref22 is used to determine the number of times "ta" in oral diadocokinesis X22, A determination threshold value Ref23 is used to determine the number of "ka" occurrences X23 in oral diadocokinesis.

Determination thresholds Ref24 and Ref25 are used to determine the deviation amount X24 of the mouth corner position and the opening amount X25 obtained from the still image G or the moving image M. FIG. The determination threshold Ref24 is a threshold for drawing a vertical line passing through the center of the lips with respect to the center line of the face based on the deviation amount X24 of the corner of the mouth, and evaluating the distance between the vertical line and the position of the corner of the mouth. be.

The opening amount X25 may be input by the user as answer information instead of being obtained from the still image G or the moving image M.

Determination thresholds Ref28 and Ref29 are used to determine the number of times CT of mastication obtained from the moving image M and the speed deviation X29.

Appropriate values are set in advance for the determination thresholds Ref21 to Ref29 with respect to the combination of age and sex obtained as attribute information. The improvement action determination unit 22 uses determination thresholds Ref21 to Ref29 corresponding to the attribute information to perform determination on each piece of measurement information.

The improvement action judgment unit 22 executes judgment for each measurement information using the judgment thresholds Ref21 to Ref29 corresponding to the attribute information, thereby adjusting the judgment of the improvement action based on the attribute information.

Note that the determination thresholds Ref21 to Ref29 are not limited to the example set for the combination of age and sex, and may be set for age only, or may be set for sex only. It may be fixedly set regardless of gender.

The method of obtaining the judgment result "1/0" from each piece of measurement information is substantially the same as the method of obtaining the judgment result "1/0" from the answer information in the lookup tables 31 and 33 of FIGS. omitted.

Note that the measurement information shown in FIG. 12 is an example, and only a part of these may be used, or other measurement information may be used.

In the lookup table 34, each piece of measurement information is associated with a weight for each improvement issue to be improved and an evaluation result. For example, weights w21 to w29 corresponding to the improvement issue “only circles”, weights v21 to v29 corresponding to the improvement issue “decreased function, poor condition”, and weights u21 to u29 corresponding to the improvement issue “arthritis” are included in each measurement information. are mapped. In addition, evaluation results A21 to A29 corresponding to the improvement issue "circular only", evaluation results B21 to B29 corresponding to the improvement issue "decreased function, poor condition", and evaluation results C21 to C29 corresponding to the improvement issue "arthritis" are shown. Associated with measurement information.

For example, if the measurement information “number of pas X21” is smaller than the determination threshold Ref21, the determination result is “1”, and the evaluation result is 1×w21=w21=A21, 1×v21=v21=B21, 1×u21= u21=C21. On the other hand, if the measurement information "number of pas X21" is equal to or greater than the determination threshold value Ref21, the determination result is "0", and the evaluation result is 0xw21=0=A21, 0xv21=0=B21, 0xu21. =0=C21. Thereafter, evaluation results corresponding to each piece of measurement information are obtained in the same manner.

The improvement action determination unit 22 can obtain evaluation results A21 to A29, B21 to B29, and C21 to C29 for each piece of measurement information by referring to the lookup table 34 stored in the storage unit 3, for example.

Next, the improvement action determination unit 22 evaluates the answer information evaluation results A1 to A12, B1 to B12, and C1 to C12 obtained in step S21, and the measurement information evaluation results A21 to A29, and B21 obtained in step S22. - B29 and C21 to C29, the problem to be improved is determined (step S23).

FIG. 13 is an explanatory diagram for explaining an example of a method for determining improvement issues from the evaluation result of response information and the evaluation result of measurement information. As shown in FIG. 13, the improvement action determination unit 22 sums up the evaluation results A1 to A29 corresponding to the improvement issue "circle only" to calculate the total value SA, and corresponds to the improvement issue "function deterioration, malfunction". The evaluation results B1 to B29 are totaled to calculate a total value SB, and the evaluation results C1 to C29 corresponding to the improvement task "arthritis" are totaled to calculate a total value SC.

Then, the improvement action determination unit 22 selects the improvement topic having the maximum total value from among the improvement topics "circular only", "decreased function, poor condition" and "arthrosis". In this manner, the improvement action determination unit 22 can determine improvement issues from the evaluation result of the response information and the evaluation result of the measurement information.

Next, the improvement action determination unit 22 determines an improvement action based on the improvement problem determined in step S23 (step S24).

FIG. 14 is an explanatory diagram showing an example of a lookup table that associates improvement tasks with improvement actions. According to the lookup table 35 shown in FIG. 14, the action number 1 improvement action of chewing foods such as jelly, gumi, and jerky is associated with the improvement tasks "only circles," "cannot chew," and "keep chewing." there is

The action number 2, improvement action of performing training using an oral cavity training device (mastication training using a predetermined training device), is associated with an improvement issue "decreased function, poor condition".

The action number 3, the improvement action of performing patakara exercises, is associated with the improvement task "decline in function, poor condition". The patakara exercise corresponds to an example of a predetermined chewing training exercise.

Action No. 4, improvement action of performing motion training, is associated with improvement task "decrease in function, disorder" and "effect on jaw". Motion training is an example of mastication training based on mastication guidance.

Action No. 5, improvement action of receiving treatment (consultation) by a dentist, is associated with improvement tasks "arthritis" and "cannot swallow".

For example, when the improvement task determined in step S23 is "decreased function, bad condition", the improvement action determination unit 22 determines the action number associated with "decreased function, bad condition" by the lookup table 35. 2, 3, 4 can be determined as improvement actions.

In the example of action number 1, for example, with regard to foods such as jelly, jelly, jerky, etc., a plurality of types of foods are prepared in advance according to the attributes of the above-described foods, and the improvement action determination unit 22 performs improvement actions such as Chewing a type of food according to the attributes of the food determined as described above can be determined and determined as an improvement action. In the example of action number 1, effects such as increasing the number of times the user masticates and improving the length of mastication time can be expected.

In this case, the improvement action determination unit 22 preferably identifies the target food and determines and determines at least one of the number of times the food is chewed and the amount (number) of food put into the mouth at one time as the improvement action.

In the action number 1 example, the food item may be any food item selected by the user. Then, in steps S34 and S35 to be described later, food information is acquired from the captured image of the food, and at least one of the number of times the food is chewed and the amount (number) of food put in the mouth at one time is determined as an improvement action. You may

In the example of action number 2, the improvement action determination unit 22 can determine and determine training using an oral function training device as an improvement action. In the example of action number 2, the effect of improving the modulation of the user's mastication can be expected. As an oral function training device, for example, Peco Panda (registered trademark) manufactured by JMS Co., Ltd. can be used.

In the example of action number 3, the improvement action determination unit 22 can judge and determine training known as so-called patakara exercise as an improvement action. Patakara exercise trains the muscles necessary for eating by pronouncing ``pa'', ``ta'', ``ka'', and ``la''. In the example of action number 3, the effect of improving the modulation of the user's mastication can be expected.

In the example of action number 4, the improvement action determination unit 22 can determine and determine motion training as an improvement action. In the example of action number 4, the effect of improving the user's modulation of mastication, the way of chewing, and the habit of mastication can be expected. As motion training, for example, training using the mastication instruction system described in Japanese Patent Application No. 2020-184914 can be used.

In the example of action number 5, when the improvement action determination unit 22 determines that treatment is necessary, it determines that receiving treatment by a dentist is an improvement action. In the example of action number 5, improvement with treatment can be expected.

In steps S21 to S23, the improvement action determination unit 22 sums the weight of the mastication-related information determined to be problematic among the plurality of mastication-related information for each of the plurality of improvement tasks, and selects the improvement task having the largest total value. can be determined. Furthermore, the improvement action determination unit 22 can determine an improvement action based on the determined improvement problem in step S24.

After determining the improvement action as described above, the improvement action determination unit 22 proceeds to step S3.

Next, the notification unit 23 acquires life pattern information indicating the user's life pattern (step S3). FIG. 15 is an explanatory diagram showing an example of lifestyle pattern information.

Next, the reporting unit 23 determines the reporting timing for reporting the improvement behavior based on the lifestyle pattern information obtained in step S3 (step S4). For example, according to the life pattern information shown in FIG. 15, the notification unit 23 determines that 30 minutes before breakfast time is before the wake-up time, so that the lunch time excluding breakfast time and 11:30, which is 30 minutes before dinner time , 19:30 can be determined as the notification timing. The notification unit 23 can also determine 8:30 and 18:30, which are during commuting hours, as notification timings.

It should be noted that steps S1 to S4 do not need to be executed each time, and the improvement action determined in step S2 and the notification timing determined in step S4 are stored in the storage unit 3. Thereafter, steps S5 and S6 are performed. may be executed only.

Next, the notification unit 23 confirms whether or not the notification timing determined in step S4 has come (step S5), and if it is not the notification timing, waits until the notification timing comes (NO in step S5). On the other hand, when the notification timing comes (YES in step S5), the notification unit 23 displays the improvement action determined in step S3, for example, on the touch panel display 5, or by outputting the sound from the speaker 6, so that the user can (step S6).

Accordingly, it is possible to make a proposal for the purpose of improving the masticatory function to the user.

Next, another example of the operation of the mastication improvement proposal system 1 will be described. FIG. 16 is a flow chart showing another example of the operation of the mastication improvement proposal system 1 shown in FIG. In the example shown in FIG. 16, the user prepares food and activates the mastication improvement proposal system 1 at the user's desired timing.

First, the mastication-related information acquisition unit 21 and the improvement action determination unit 22 execute steps S1 and S2, acquire mastication-related information, and determine improvement actions, as in FIG.

Next, the improvement action determination unit 22 checks whether or not the improvement action determined in step S2 includes "chewing food" (action number 1) (step S33). If the improvement action includes "chewing food" (YES in step S33), the improvement action determination unit 22, for example, on the touch panel display 5, "Please take an image of the food." Display a message that prompts you to take an image of the food.

Then, when the user captures an image of the food with the camera 4, the improvement action determination unit 22 acquires food information from the captured image of the food (step S34). Specifically, the improvement action determination unit 22 acquires at least one of hardness, adhesiveness, elasticity, and size as food information as attributes of the photographed food.

Next, based on the mastication-related information and the food information obtained in steps S1 and S34, the improvement action determination unit 22 determines the number of times of mastication and the amount (number) of food put into the mouth at one time when masticating food. At least one of them is determined as an improvement action (step S35). For example, if the age of the user included in the mastication-related information corresponds to the period of “baby food period to baby teeth growing”, “baby teeth period”, and “change from baby teeth to permanent teeth”, the improvement behavior determination unit 22 You can increase the frequency or reduce the amount of food. In addition, when the user's age corresponds to the period of "until adulthood" or "until pre-oral frailty", the improvement action determination unit 22 can decrease the number of times of chewing or increase the amount of food. . In addition, when the user's age corresponds to the period of "elderly", the improvement action determination unit 22 can increase the number of times of chewing or decrease the amount of food as the age increases.

On the other hand, if "chewing food" is not included in the improvement actions in step S33 (NO in step S33), the improvement action determination unit 22 proceeds to step S36 without executing steps S34 and S35.

Next, in step S36, the notification unit 23 notifies the user of the improvement behavior determined in steps S2 and S35, for example, by displaying it on the touch panel display 5 or by outputting the sound from the speaker 6 (step S36).

Accordingly, it is possible to make a proposal for the purpose of improving the masticatory function to the user.

Note that the attribute information may not be acquired without executing step S11. Alternatively, steps S12 and S13 may not be executed and the answer information may not be acquired. Alternatively, the user may select the measurement method without executing step S14. Further, without executing steps S14 to S16 and S22, in step S23, the problem to be improved may be determined from the answer information without using the measurement information.

Further, the notification unit 23 does not have to acquire life pattern information, and does not need to determine the timing of notifying improvement behavior. Further, the improvement action determination unit 22 is not limited to the example in which the food information is acquired from the image of the food. Further, the improvement action determination unit 22 does not need to acquire at least one of the type, amount, and size of the food prepared by the user as the food information, and performs the improvement action based on the mastication-related information and the food information. You don't have to judge.

In addition, the improvement action determination unit 22 does not have to judge at least one of the number of times of chewing and the amount (number) of food put into the mouth at one time when chewing food as an improvement action. , at least one of hardness, adhesion, elasticity, and size may not be judged as an improvement action. Moreover, improvement actions are not limited to chewing predetermined foods.

1 mastication improvement proposing system 2 control unit 3 storage unit 4 camera 5 touch panel display 6 speaker 7 microphone 21 mastication-related information acquisition unit 22 improvement action determination unit 23 notification units 31 to 35 lookup table A temporal change information A1 to A29, B1 ~B29, C1~C29 Evaluation result CT Mastication frequency G Still image L Distance M Moving image P1 Mastication start point P2 Maximum opening point P3 Mastication end point PW Mastication motion path Ref1~Ref29 Judgment threshold SA, SB, SC Total value TW Interval information u1 to u29, v1 to v29, w1 to w29 Weight X1 Number X12 Opening amount X2 Functional teeth number X21, X22, X23 Number of times X24 Mouth angle X25 Opening amount X29 Speed deviation X6 Number

Claims (19)

A mastication improvement proposal system for making a proposal for the purpose of improving a user's mastication function,
a mastication-related information acquisition unit that acquires mastication-related information related to the user's mastication movement;
an improvement action determination unit that determines an improvement action for improving the masticatory function of the user based on the mastication-related information;
A system for proposing mastication improvement, comprising: a notification unit that notifies the improvement action determined by the improvement action determination unit. 2. The mastication improvement proposal system according to claim 1, wherein said mastication-related information includes measurement information measured from said user by a predetermined measurement method. The measurement methods include oral diadocokinesis, still image photography, video photography, occlusal pressure measurement, tongue pressure measurement, lip closure force measurement, electromyography measurement, oral moisture measurement, mastication acceleration measurement, mastication-related position measurement, and expiration. 3. The mastication improvement suggestion system according to claim 2, wherein the odor measurement is at least one of the odor measurements. 4. The mastication improvement proposal system according to claim 2, wherein the mastication-related information further includes user information answered by the user. 5. The mastication improvement proposal system according to claim 4, wherein said user information includes attribute information relating to said user's age and answer information other than said attribute information. 5. The mastication improvement proposal system according to claim 4, wherein said user information includes attribute information relating to said user's gender and answer information other than said attribute information. 5. The mastication improvement proposal system according to claim 4, wherein said user information includes attribute information relating to age and sex of said user, and answer information other than said attribute information. 8. The mastication-related information obtaining unit selects the measurement method based on the user information, and further obtains the measurement information based on the selected measurement method as the mastication-related information. 3. A mastication improvement proposal system according to the above item. The mastication improvement proposal system according to any one of claims 5 to 7, wherein the improvement action determination unit adjusts the determination of the improvement action based on the attribute information. 10. The mastication improvement proposal system according to any one of claims 4 to 9, wherein the user information includes at least one of information on the number of teeth, information on masticatory symptoms, and information on lifestyle habits. 2. The improvement action includes at least one of chewing a prescribed food, chewing training using a prescribed training device, chewing training gymnastics, chewing training based on chewing instruction, and visiting a dentist. 11. The mastication improvement proposal system according to any one of 10. the remedial action comprises chewing a predetermined food product;
12. The mastication improvement proposal system according to claim 11, wherein the improvement action determination unit further determines at least one of hardness, adhesiveness, elasticity, and size appropriate for the food as the improvement action. . 13. The improvement in mastication according to claim 12, wherein the improvement action determination unit further determines at least one of the number of times the food is chewed and the amount of the food put into the mouth at one time as the improvement action. suggestion system. The improvement action determination unit
Acquiring at least one of the type, amount, and size of the food as food information;
13. The method according to claim 12, wherein at least one of the number of times the food is chewed and the amount of the food put into the mouth at one time is determined as the improvement action based on the mastication-related information and the food information. mastication improvement proposal system. 15. The mastication improvement proposal system according to claim 14, wherein the improvement action determination unit acquires the food information from an image of the food. 16. The notifying unit according to any one of claims 1 to 15, wherein the notification unit acquires life pattern information indicating the user's life pattern, and determines the timing of notifying the improving behavior based on the life pattern information. Mastication improvement proposal system. There are a plurality of pieces of mastication-related information,
Each of the masticatory-related information is set with a weight, which is a quantified degree of influence, corresponding to each of a plurality of improvement issues preset as issues to be improved in the masticatory motion,
The improvement action determination unit sums the weight of mastication-related information determined to be problematic among the plurality of mastication-related information for each of the plurality of improvement tasks, and determines the improvement task having the largest total value. 17. The mastication improvement proposal system according to any one of claims 1 to 16, wherein said improvement action is determined based on said determined improvement task. A mastication improvement proposal program for making a proposal for the purpose of improving a user's mastication function,
a mastication-related information acquisition unit that acquires mastication-related information related to mastication movement;
an improvement action determination unit that determines an improvement action for improving the masticatory function of the user based on the mastication-related information; and
A mastication improvement proposal program that causes a computer to function as a notification unit that notifies the improvement behavior determined by the improvement behavior determination unit. A mastication improvement proposal method for making a proposal for the purpose of improving a user's mastication function,
(1) acquiring mastication-related information related to the user's mastication movement;
(2) determining an improvement action for improving the user's masticatory function based on the mastication-related information;
A mastication improvement proposing method for notifying the improvement action determined in (2) above.

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