JP2022068484A - Oral care recommendation system - Google Patents

Abstract

To provide an oral care recommendation system that makes it possible to easily acquire recommendation information on oral care corresponding to a user.SOLUTION: An oral care recommendation system 10 comprises: an information acquisition unit 31 for acquiring input information from an interface unit 20; an information analysis unit 33 for analyzing a user's oral condition on the basis of the input information; and an information output unit 32 for outputting an analysis result by the information analysis unit 33 as output information, the output information including recommendation information with respect to oral care for the user.SELECTED DRAWING: Figure 1

Description

The present invention relates to an oral care recommendation system.

A system is known that recommends different items according to the characteristics of the user. The item recommendation system described in Patent Document 1 recommends items that are expected to be highly satisfying for each user based on a plurality of parameters such as user preference.

Japanese Patent No. 6457358

By the way, the condition in the oral cavity differs depending on the user. Furthermore, even for the same user, the condition in the oral cavity changes depending on factors such as time, physical condition, meal content, and before and after oral care. However, it is not easy to recognize the condition of the oral cavity without the evaluation of a specialist such as a dentist and to select appropriate oral care according to the current condition of the oral cavity. Choosing oral care that is not appropriate for the user's oral condition may not provide the expected benefits of oral care.

The oral condition recommendation system according to the present invention has an information acquisition unit that acquires input information from the interface unit, an information analysis unit that analyzes the oral condition of the user based on the input information, and an analysis result by the information analysis unit. An information output unit for outputting as output information is provided, and the output information includes recommendation information regarding oral care of the user.

According to the oral condition recommendation system according to the present invention, recommendation information regarding oral care according to the user can be easily obtained.

The block diagram which shows the structure of the oral condition recommendation system of embodiment. The figure which shows the oral cavity image which is an example of input information. FIG. 2 is a partially enlarged schematic view of the oral image of FIG. The figure which shows an example of the oral condition when there is crowding. The figure which shows an example of the oral condition in the absence of crowding. The figure which shows an example of the oral condition when there is an interdental space. The figure which shows an example of the oral condition when there is no interdental space. The figure which shows an example of the oral condition when there is gingival recession. The figure which shows an example of the oral condition when there is no gingival recession. A flowchart showing an example of oral care recommendation processing executed by the information analysis unit. The schematic diagram which shows an example of the display of a display part.

(An example of possible forms of oral care recommendation system)
(1) The oral care recommendation system according to the present invention includes an information acquisition unit that acquires input information from the interface unit, an information analysis unit that analyzes the oral condition of the user based on the input information, and the information analysis unit. It includes an information output unit that outputs the analysis result as output information, and the output information includes recommendation information regarding oral care of the user.
According to the oral care recommendation system, the output information that analyzes and outputs the oral condition of the user includes the recommendation information regarding oral care. Therefore, it is possible to easily obtain recommended information on oral care according to the user.

(2) According to an example of the oral care recommendation system, the recommendation information includes oral care item recommendation information that recommends an oral care item according to the oral condition of the user.
According to the above oral care recommendation system, since the output information includes the oral care item recommendation information, the user can select a suitable oral care item by a simple means.

(3) According to an example of the oral care recommendation system, the oral care item includes at least one of a toothbrush, an interdental cleaning tool, and an oral cleaning agent.
According to the above oral care recommendation system, the user can select a suitable oral care item for each user in more detail.

(4) According to an example of the oral care recommendation system, the recommendation information further includes information on how to use the oral care item.
According to the above oral care recommendation system, the user can easily obtain an appropriate usage method of the oral care item.

(5) According to an example of the oral care recommendation system, the input information includes an image including a first specific site in the oral cavity of the user, and information on how to use the oral care item is at least the first specific. Includes how to use the oral care item at the site.
According to the above oral care recommendation system, it is possible to obtain an appropriate method of using an oral care item from an image including a specific place in the oral cavity.

(6) According to an example of the oral care recommendation system, the input information includes information on the oral care of the user, and the output information further includes response information corresponding to the information on the oral care of the user.
According to the above oral care recommendation system, since the output information includes the response information according to the information related to the oral care, the user can perform more suitable oral care.

(7) According to an example of the oral care recommendation system, the information regarding the oral care of the user includes information regarding the user's oral care item usage behavior, information regarding the user's lifestyle, and information regarding the user's oral secretions. It comprises at least one of information about the user's oral flora, information about the user's own attributes, and information obtained by a sensor that detects the condition in the oral cavity.
According to the above oral care recommendation system, response information is set based on information on appropriate oral care.

(8) According to an example of the oral care recommendation system, the information output unit outputs the output information to the interface unit, and the interface unit includes a display unit for displaying the output information.
According to the oral care recommendation system, the user can easily recognize the output information.

(Embodiment)
The oral care recommendation system 10 of the present embodiment will be described with reference to FIGS. 1 to 11. The oral care recommendation system 10 is a system that analyzes the acquired input information I and outputs the output information O based on the analysis information A obtained from the input information I. The output information O includes the recommendation information RI regarding the oral care of the user. The oral care recommendation system 10 may estimate the estimated information E regarding the state in the oral cavity from the analysis information A, and further output the output information O based on the estimated information E. The main element constituting the oral care recommendation system 10 is the server 30. Preferably, the oral care recommendation system 10 includes an interface unit 20 for executing information exchange with the server 30. The interface unit 20 is, for example, a smart device configured to be portable by the user. Smart devices include tablet terminals or smartphones. In another example, the interface unit 20 is a personal computer. The personal computer is installed in the user's residence, store or dental office. Stores include stores that sell oral care items or other products. The interface unit 20 and the server 30 are configured to be able to communicate with each other using, for example, the Internet line N. In another example, the interface unit 20 and the server 30 are integrally configured.

The interface unit 20 includes a control unit 21, a storage unit 22, an acquisition unit 23, a communication unit 24, and a display unit 25. The control unit 21 includes an arithmetic processing device that executes a predetermined control program. The arithmetic processing unit includes, for example, a CPU, GPU or MPU.

The storage unit 22 stores various control programs executed by the control unit 21 and information used for various control processes. The storage unit 22 includes, for example, a non-volatile memory and a volatile memory. The non-volatile memory includes, for example, at least one of ROM, EPROM, EEPROM, and flash memory. Volatile memory includes, for example, RAM.

The acquisition unit 23 acquires the input information I from the user. The acquisition unit 23 includes an arbitrary configuration for acquiring the input information I of the user. The first example is a camera capable of acquiring an oral image P of the user's oral cavity. The oral image P includes still images and moving images. The oral cavity image P includes a three-dimensional image having depth information or a panoramic image composed by laminating a plurality of images. The camera may be a camera mounted on a smart device, or may be a separately independent camera. The independent camera is, for example, a pen-type camera provided with a camera at the tip suitable for photographing in the oral cavity or a camera capable of photographing in a range of 360 °. The independent camera is configured to enable wired or wireless communication with the control unit 21. The oral cavity image P taken by the independent camera is transmitted to the control unit 21 by wired or wireless communication. The acquisition unit 23 of the second example acquires information on the oral care of the user. In the second example, the acquisition unit 23 is a user interface configured so that, for example, a user can input or select characters or the like. Information about the user's oral care includes information about the user's oral care item usage behavior, information about the user's lifestyle, information about the user's oral secretions, information about the user's oral flora, information about answers to predetermined questions, and information about the answers to predetermined questions. , Contains at least one piece of information about the user's own attributes. Information about the user's oral care item usage behavior includes at least one of the user's oral care item model number, frequency of use, frequency of use, and time of use. Oral care items include, for example, at least one of a toothbrush, an interdental cleaner, and an oral cleanser. Information about the user's lifestyle includes information about the user's dietary content, wake-up or sleep time. Information about the user's oral secretions includes information about the amount of saliva, viscosity, hydrogen ion concentration, amount of antibacterial component, and amount of component related to tooth remineralization. Information about the user's oral flora includes information about the amount and type of major bacteria present in saliva, plaque, or mucous membranes and information about the type and amount of antibodies of the major bacteria. The information on the user's oral secretions and the information on the user's oral bacterial flora may be the result of an interview with the user, and are the results of inspection of the oral endocrines and the like existing in the user's oral cavity by a predetermined means. There may be. Information on the answers to certain questions includes questions about the condition of the user's gums, preferred brushing method for oral care, the number of times a day is brushed, the time spent brushing each time, the time to brush the teeth, and oral care items. Including the frequency of use and the presence or absence of dentures. Questions about the condition of the user's gums include, for example, the presence or absence of bleeding from the gums when brushing or eating or drinking. Information about the user's own attributes is, for example, the user's own age, gender, height, weight, and medical history. In the third example, the acquisition unit 23 is a sensor that detects the state in the oral cavity. The sensor is, for example, a fluorescence sensor and a temperature sensor. The fluorescence sensor irradiates light of a predetermined wavelength, quantifies the amount of light, and measures the distribution and amount of a predetermined substance in the oral cavity. Predetermines are, for example, stains or plaques. The temperature sensor measures the temperature in the oral cavity. The sensor is configured to enable wired or wireless communication with the control unit 21. The information obtained by the sensor is transmitted to the control unit 21 by wired or wireless communication. In the present embodiment, the acquisition unit 23 may be configured by combining a plurality of the first to third examples. The sensor may be configured to be able to further measure at least one of masticatory force, quotient force, gum blood flow, bad breath, brush pressure strength during brushing, or toothbrush movement during brushing.

The communication unit 24 is configured to be able to communicate with the outside of the interface unit 20 based on the control of the control unit 21. The communication unit 24 is configured to be able to communicate via the Internet line N. The communication unit 24 may be configured to be able to communicate with the server 30 of the interface unit 20 by wired communication or wireless communication. For example, the communication unit 24 transmits the user input information I acquired by the acquisition unit 23 under the control of the control unit 21, and receives the output information O from the server 30.

The display unit 25 displays various information based on the control of the control unit 21. The various information is, for example, information regarding the input information I of the user and information regarding the output information O from the server 30. In one example, the display unit 25 is composed of a display. The display of the display unit 25 may be composed of a touch panel. When a part of the display unit 25 is composed of a touch panel, a part of the display unit 25 may also serve as a user interface function of the acquisition unit 23.

The user communicates with the server 30 by, for example, inputting a predetermined URL in the interface unit 20 or reading a QR code (registered trademark) in the interface unit 20. Communication with the server 30 may be started by the user selecting an icon displayed on the display unit 25.

The server 30 includes an information acquisition unit 31, an information output unit 32, an information analysis unit 33, and an information storage unit 34. The information acquisition unit 31 is configured so that information can be acquired. In one example, the information acquisition unit 31 acquires information from the communication unit 24 of the interface unit 20. The information output unit 32 is configured to be able to output information. In one example, the information output unit 32 outputs information to the communication unit 24 of the interface unit 20.

The information analysis unit 33 executes various analyzes and controls. The information analysis unit 33 includes an arithmetic processing device that executes a predetermined control program. The arithmetic processing unit includes, for example, a CPU or an MPU. The information analysis unit 33 is configured to be able to analyze the input information I from the user. In the first example, the information analysis unit 33 analyzes the input information I by the learning model M by machine learning. The input information I in this case includes the user's oral image P. The learning model M is, for example, a supervised learning model which is one of the models of machine learning. In the second example, the information analysis unit 33 analyzes the input information I with reference to the correspondence table stored in the information storage unit 34. The input information I in this case includes information about the user's oral care in addition to or in addition to the oral image P. The correspondence table is a table in which the input information I and the analysis information A are associated with each other. In the correspondence table, the input information I, the analysis information A, and the estimation information E may be associated with each other. When the input information I is further included in addition to the oral image P, in one example, the learning model M further includes another learning model that analyzes the input information I other than the oral image P. Another learning model is configured to be able to output parameters for correcting the analysis information A of the oral image P, for example. In another example, the learning model M is configured as a model capable of performing multimodal learning in which both the oral image P and the input information I not including the oral image P are combined and learned.

The information storage unit 34 stores at least one of the learning model M, the correspondence table, and various information. The information analysis unit 33 refers to the learning model M, the correspondence table, and various information stored in the information storage unit 34 as needed. For example, it includes non-volatile memory and volatile memory. The non-volatile memory includes, for example, at least one of ROM, EPROM, EEPROM, and flash memory. Volatile memory includes, for example, RAM.

The analysis of the input information I including the oral cavity image P using the learning model M executed by the information analysis unit 33 will be described. The analysis step executed by the information analysis unit 33 includes a plurality of steps. The plurality of steps are from the first step of detecting the oral region R from the user's oral image P, the second step of calculating the analysis information A by analyzing the oral region R included in the oral image P, and the analysis information A. The third step of estimating the estimation information E and the fourth step of calculating the analysis information A and the output information O corresponding to the estimation information E are included. The acquisition of the estimation information E in the third step has the effect of improving the accuracy of the output information O.

The first step is executed by the information analysis unit 33 by any means. In one example, the oral region R is detected from the oral image P of the user's oral cavity by using a trained model suitable for detecting the face. The oral region R includes a first oral region R1 including the teeth of the user's upper jaw and a second oral region R2 including the teeth of the user's lower jaw. The trained model for detecting the face is introduced into the information analysis unit 33 by, for example, API.

When the oral cavity region R cannot be acquired from the oral cavity image P in the first step, the information analysis unit 33 outputs the contents to the display unit 25 of the interface unit 20 via the information output unit 32. In one example, the oral cavity image P is included because the oral cavity image P does not include the oral cavity region R, the oral cavity image P is blurred, or the oral cavity image P cannot be recognized because the brightness of the oral cavity image P is not appropriate. The information requesting the user to input the input information I again is output to the display unit 25 of the interface unit 20. If one of the first oral region R1 and the second oral region R2 can be acquired and the other cannot be acquired, the information analysis unit 33 may determine that the first step has been completed, and the input information I may be input again. The information requested from the user may be output to the interface unit 20.

In the second step, the information analysis unit 33 analyzes the oral image P. The information analysis unit 33 analyzes the oral image P by the learning model M stored in the information storage unit 34. The analysis information A, which is the analysis result, includes interdental space, gingival retraction, crowding, gingival inflammation, unpolished, gingival, caries, hypersensitivity, halitosis, and the presence or absence of coloring in the first specific site in the oral region R. It contains at least one of information about the degree and the condition of the teeth, gums, and oral mucosa corresponding to the first particular site. Information about the condition of the teeth, gums, and oral mucosa includes, for example, at least one of tooth wear, tooth defects, presence or absence or degree of tooth fracture, complexion, dryness, and texture. The texture includes a plurality of textures including, for example, a hard texture that feels firm when touched with a finger and a soft texture that feels bumpy when touched with a finger. When the results of the analysis information A in the first oral region R1 and the analysis information A in the second oral region R2 are different, one of the analysis information A may be preset to be adopted, and the two analysis information may be adopted. A may be quantified and the average thereof may be adopted, or two analysis information A may be quantified and the analysis information A having a large absolute value may be adopted. Further, both the results of the analysis information A in the first oral cavity region R1 and the analysis information A in the second oral cavity region R2 may be used for the analysis.

In the third step, the information analysis unit 33 estimates the estimation information E from the input information I and the analysis information A. The estimation information E includes information regarding the presence / absence of a predetermined state, the degree, and at least one of the occurrence probabilities. Estimated information E relates to interdental space, gingival recession, crowding, gingival inflammation, unpolished, bruxism, caries, hypersensitivity, halitosis, and the presence or absence or degree of coloring in a second specific site different from the first specific site. It contains at least one piece of information, or information about the condition of the teeth, gums, and oral mucosa corresponding to the second particular site. The second specific site comprises at least one of the premolars and molars in the oral cavity. Estimated information E includes at least one piece of information about the premolars and molars in the oral cavity. The estimation information E is information on whether or not periodontal disease is present in the user's oral cavity, information on whether or not the masticatory function is normal, information on whether or not the occlusion is normal, and information on whether or not the swallowing function is normal. May contain at least one of. Information regarding the presence or absence of periodontal disease is information regarding at least one of the size, depth, and number of so-called periodontal pockets that occur between the gingiva and the tooth. The information on whether or not the masticatory function is normal is, for example, information on masticatory force, presence or absence of uneven mastication, and masticatory sound. Information on whether or not the occlusion is normal is, for example, information on the occlusal force and the engagement between the teeth of the upper jaw and the teeth of the lower jaw. The information regarding whether or not the swallowing function is normal is, for example, information regarding the presence or absence of dysphagia.

In the fourth step, the information analysis unit 33 calculates at least the input information I and the output information O corresponding to the analysis information A. Preferably, the estimation information E estimated from the analysis information A is further referred to, and the output information O is calculated.

A learning model M for analyzing the oral region R will be described. The training model M includes a plurality of trained models. The learning model M includes a first trained model M1 for determining whether or not the oral region R can be evaluated and a second trained model M2 for actually evaluating the oral region R.

The first trained model M1 is a learning model M11 for determining whether the oral region R of the oral image P has an analyzable image quality, a learning model M12 for determining whether crowding evaluation is possible, and an interdental space in the upper jaw teeth. A learning model M13 for determining whether or not the gap can be evaluated, a learning model M14 for determining whether or not the interdental space in the lower jaw tooth can be evaluated, and a learning model for determining whether or not the gingival recession can be evaluated. Includes at least one of M15.

The second trained model M2 is a learning model M21 for determining the presence or absence of crowding in the upper jaw teeth, a learning model M22 for determining the presence or absence of crowding in the lower jaw teeth, and a determination for the presence or absence of interdental gaps in the upper jaw teeth. It includes at least one of a learning model M23 for determining the presence or absence of interdental space in the lower jaw tooth, and a learning model M25 for determining the presence or absence of interdental retraction.

The creation of the learning model M will be described. The learning model M was created based on approximately 10,000 oral images P. The developer classified the oral image P into a learning image, a verification image, and a test image. The learning image is supervised data at the time of creating the learning model M. The verification image is an image for modifying the operation of the learning model M based on the learning image. The test image is an image for finally confirming the operation of the learning model M. The test image is used, for example, to confirm whether or not the learning model M is overfitting. The learning image is about 56% of the whole. The verification image is about 24% of the whole. The test image is 20% of the total. In this embodiment, the learning model M outputs the result of classification. The learning model M includes interdental space, gingival recession, crowding, gingival inflammation, unpolished teeth, gingival, caries, hypersensitivity, and information on the presence or absence or degree of coloring, teeth corresponding to the second specific site, gums, and , Information on the condition of the oral mucosa, information on the presence of periodontal disease in the user's oral cavity, information on whether the chewing ability is reduced, information on whether the bite force is reduced, and , Output at least one piece of information about whether or not the gums are occurring.

FIG. 2 shows an example of the oral cavity image P of the user. The oral image P includes at least the first specific site in the oral cavity. The first specific site includes a middle incisor T1, a tooth corresponding to the middle incisor T1, a side incisor T2, a tooth corresponding to the side incisor T2, a canine T3, and a tooth stem corresponding to the canine T3. The oral image P includes a tooth image and a gum image in the oral cavity. Tooth images include intraoral central incisor T1 images, lateral incisor T2 images, and canine T3 images. The gingival image includes an image of the gingiva corresponding to the central incisor T1, the lateral incisor T2, and the canine T3. The oral image P includes at least one first specific site among the four first specific sites on the top, bottom, left, and right in the user's oral cavity.

With reference to FIG. 3, a preferable range of the tooth image included in the oral image P will be described. In determining the presence or absence of crowding, it is preferable that the range from the end E1 of the central incisor T1 to the broken line L2 is included in the oral image P. In determining the presence or absence of the interdental space, it is preferable that the oral image P includes the range from the end E1 of the central incisor T1 to the two-dot chain line L3. In determining the presence or absence of gingival recession, it is preferable that the range from the end E1 of the central incisor T1 to the solid line L1 is included in the oral image P. Since the image of the central incisor T1 in this range is included in the oral image P, the image of the corresponding gum is included in the oral image P.

Each oral image P was supervised by a specialist who analyzes the oral cavity. 4 to 9 show an example of a supervised oral image P. Experts who analyze the oral cavity are, for example, dentists, dental hygienists, researchers who study oral conditions, or developers who develop oral care items. An expert who analyzes the oral cavity determines the degree of crowding, the degree of gingival recession, and the degree of interdental space for each of the first oral region R1 and the second oral region R2 of the oral image P of the oral cavity. rice field. Experts analyzing the oral cavity made decisions based on the type of crowding in determining the degree of crowding. Experts who analyze the oral cavity made multiple stages of judgment of gingival recession, from no gingival recession to total gingival recession. Experts analyzing the oral cavity performed multiple stages of evaluation of the interdental space, from no interdental space to severe interdental space, for each of the upper and lower jaws.

The state at the first specific site in the oral cavity correlates with the state at the second specific site different from the first specific site in the oral cavity. In one example, in a study of 75 women in their 40s and 70s, the gingival condition in the anterior teeth and the gingival condition in the back teeth were highly correlated. That is, when gingival recession occurs at the first specific site, gingival recession also occurs at the second specific site. The same applies to the degree of interdental space and crowding.

The calculation of the analysis information A when the information on the oral care is included, which is executed by the information analysis unit 33, will be described. In this case, the output information O further includes the response information. The response information includes an example of appropriate oral care for the user based on information about oral care. As a first example, a case where the information on oral care includes information on the user's behavior of using oral care items will be described. The information analysis unit 33 compares the information regarding the oral care item use behavior with the information stored in the information storage unit 34. For example, when at least one of the frequency of use, the number of times of use, and the time of use of the oral care item is smaller than a predetermined value stored in the information storage unit 34, the information analysis unit 33 has a value higher than the predetermined value. Outputs answer information that encourages the user to take action so that it becomes larger. The predetermined value may be correctable based on, for example, analysis information A or estimation information E. For example, when the analysis information A or the estimation information E includes information that crowding exists in the oral cavity, the information analysis unit 33 may use at least one predetermined value of the frequency of use, the number of times of use, and the time of use of the oral care item. Change so that is larger. As a second example of the user, a case where the information on oral care includes information on the lifestyle of the user will be described. The information analysis unit 33 compares the information related to the lifestyle of the user with the information stored in the information storage unit 34. The information analysis unit 33 outputs response information that urges the user to take action to increase the number and time of oral care, for example, when the frequency of eating foods having a high sugar content in the eating habits is high. As a third example, a case where the information regarding oral care includes information regarding the oral secretions of the user will be described. The information analysis unit 33 compares the acidity of the user's oral secretions with the acidity of general oral secretions. When the difference in acidity is greater than or equal to a predetermined value, the information analysis unit 33 outputs recommended information RI regarding an oral cleansing agent suitable for reducing the difference in acidity and response information regarding the appropriate frequency of use of the oral cleansing agent. do.

The information analysis unit 33 outputs the analysis information A, the estimation information E, and the response information to a predetermined configuration. In the first example, the information analysis unit 33 outputs to the information output unit 32. In the second example, the information analysis unit 33 outputs to the information storage unit 34. In the third example, the information analysis unit 33 outputs to both the information output unit 32 and the information storage unit 34.

The information analysis unit 33 associates at least the analysis information A with the output information O. Preferably, the information analysis unit 33 further includes the input information I and the estimation information E to correspond to the output information O. The output information O will be described. The output information O includes the recommendation information RI regarding the oral care of the user. The recommendation information RI includes at least the oral care item recommendation information RI1 that recommends the oral care item according to the oral condition of the user. The recommendation information RI may further include information RI2 regarding how to use the oral care item. The information RI2 regarding the usage of the oral care item may be the usage of the oral care item included in the oral care item recommendation information RI1 or the general usage of the oral care item not included in the oral care item recommendation information RI1. May be good. Recommendation Information The RI may further include information on recommendations for consultation to the dental clinic, recommendations for treatment content at the dental clinic, and recommendations for lifestyle improvement. The treatment contents are, for example, treatment of periodontal disease, implant implementation, and orthodontic treatment. Lifestyle improvements include, for example, changing meal times and reducing smoking habits.

The correspondence between the analysis information A, the estimation information E, and the response information and the output information O is executed by the information analysis unit 33 by any means. In the first example, a correspondence table in which analysis information A, estimation information E, and response information and output information O are associated with each other by a researcher who studies the oral condition in advance or a developer who develops an oral care item. Is executed by. In the second example, the correspondence between the analysis information A and the output information O is executed by the machine learning model.

The output information O includes a plurality of output information. In one example, the output information O includes a first output information O1, a second output information O2, a third output information O3, a fourth output information O4, and a fifth output information O5. Each output information O1 to O5 includes different recommendation information RIs.

The first output information O1 is output information O when crowding is present in the oral cavity of the user. The first output information O1 includes information on a toothbrush having a small head size as oral care item recommendation information RI1. A toothbrush with a small head size is, for example, a tuft brush. Information on how to use oral care items RI2 includes, for example, brushing with a pen grip.

The second output information O2 is output information O when crowding does not exist in the user's oral cavity, gingival inflammation exists, and gingival recession exists. The second output information O2 includes information about a product whose brush hardness is the first hardness as the oral care item recommendation information RI1. Information on how to use oral care items RI2 includes, for example, brushing with a pen grip.

The third output information O3 is output information O when crowding does not exist in the user's oral cavity, gingival inflammation exists, and gingival recession does not exist. The third output information O3 includes information about a product whose brush hardness is the second hardness as the oral care item recommendation information RI1. Information on how to use oral care items RI2 includes, for example, brushing with a palm grip. The second hardness is as hard as the first hardness.

The fourth output information O4 is output information O when crowding does not exist in the user's oral cavity, gingival inflammation does not exist, and gingival recession exists. The fourth output information O4 includes information about a product whose brush hardness is the third hardness as the oral care item recommendation information RI1. Information on how to use oral care items RI2 includes, for example, brushing with a pen grip. The third hardness is harder than the first hardness and the second hardness.

The fifth output information O5 is output information O when crowding does not exist in the user's oral cavity, gingival inflammation does not exist, and gingival recession does not exist. The fifth output information O5 includes information about a product whose brush hardness is the fourth hardness as the oral care item recommendation information RI1. Information on how to use oral care items RI2 includes, for example, brushing with a pen grip. The fourth hardness is harder than the third hardness.

For at least one of the output information O1 to O5, the recommendation information RI may further include a different oral care item recommendation information RI1. In one example, information is added depending on the presence or absence of interdental space. If it is determined by analysis of the oral image P or input by the user that there is an interdental space in the oral cavity, the oral care item recommendation information RI1 further includes, for example, information regarding a suitable interdental brush. Information about a suitable interdental brush will vary further depending on the degree of interdental space. If it is determined that there is no interdental space, the oral care item recommendation information RI1 further contains, for example, information about suitable dental floss. Another example includes oral care item recommendation information RI1 where the recommended toothbrush head size is smaller if it is determined that the toothbrush is wiggle.

An example of the correspondence and output control of the output information O executed by the information analysis unit 33 will be described with reference to FIG. 10. The information analysis unit 33 executes association and output with the output information O, for example, when the analysis information A and the estimation information E are obtained.

In the process of step S11, the information analysis unit 33 refers to the analysis information A and the estimation information E, and determines whether or not there is crowding in the oral cavity. In the case of affirmative determination, the information analysis unit 33 executes the process of step S15. In the case of a negative determination, the information analysis unit 33 executes the process of step S12.

In the process of step S12, the information analysis unit 33 refers to the analysis information A and the estimation information E, and determines whether or not there is gingival inflammation in the oral cavity. In the case of affirmative determination, the information analysis unit 33 executes the process of step S13. In the case of a negative determination, the information analysis unit 33 executes the process of step S14.

In the process of step S13, the information analysis unit 33 refers to the analysis information A and the estimation information E, and determines whether or not there is gingival recession in the oral cavity. In the case of affirmative determination, the information analysis unit 33 executes the process of step S16. In the case of a negative determination, the information analysis unit 33 executes the process of step S17.

In the process of step S14, the information analysis unit 33 refers to the analysis information A and the estimation information E, and determines whether or not there is gingival recession in the oral cavity. In the case of affirmative determination, the information analysis unit 33 executes the process of step S18. In the case of a negative determination, the information analysis unit 33 executes the process of step S19.

The information analysis unit 33 outputs the first output information O1 in the process of step S15. The output target is, for example, the display unit 25. After the processing of step S15 is completed, the control is terminated.

The information analysis unit 33 outputs the second output information O2 in the process of step S16. The output target is, for example, the display unit 25. After the processing of step S16 is completed, the control is terminated.

The information analysis unit 33 outputs the third output information O3 in the process of step S17. The output target is, for example, the display unit 25. After the process of step S17 is completed, the control is terminated.

The information analysis unit 33 outputs the fourth output information O4 in the process of step S18. The output target is, for example, the display unit 25. After the processing of step S18 is completed, the control is terminated.

The information analysis unit 33 outputs the fifth output information O5 in the process of step S19. The output target is, for example, the display unit 25. After the process of step S19 is completed, the control is terminated.

FIG. 11 shows an example of the output information O displayed on the display unit 25 of the interface unit 20. The interface unit 20 is a smartphone, and the display unit 25 is a display. The output information O is the first output information O1. The oral care item recommendation information RI1 is shown, for example, by an image. Information on how to use oral care items RI2 is shown, for example, in a moving image.

Oral care item recommendation information RI1 includes at least one of a toothbrush, an interdental cleaner, and an oral cleanser. Preferably, the toothbrush, the interdental cleaner, and the oral cleanser contain information about a model number in which each item type can be identified as one. Oral care item recommendation information RI1 may include information about the store for obtaining the recommended item.

Information on the usage of the oral care item RI2 displays, for example, a general usage of the oral care item included in the oral care item recommendation information RI1 as a moving image. For example, when crowding is present in the oral cavity, a suitable brushing motion is displayed as a moving image in the place where crowding is present. In another example, the method of using the oral care item at the first specific site included in the oral image P of the user is schematically displayed. For example, if there is an interdental space in the oral cavity, indicate how to use the appropriate oral care item at that location.

The display unit 25 further displays the answer information. In one example, when crowding is present in the user's oral cavity, a sentence prompting the user to perform brushing using the tuft brush included in the oral care item recommendation information is displayed three times or more a week. It may be configured to further display information suggesting a future oral condition in each of the cases where the user performs and does not perform the content displayed in the response information. It may be configured to include purchase information for purchasing the above tuft brush. In one example, the purchase information is information about the store where the relevant oral care product can be purchased or experienced. In another example, the purchase information is website information on the web that sells the relevant oral care product.

The operation of the oral care recommendation system 10 of the present embodiment will be described. The user inputs the input information I to the acquisition unit 23. The control unit 21 controls the communication unit 24 to output the input information I to the server 30. The server 30 acquires the input information I in the information acquisition unit 31. The information analysis unit 33 analyzes the input information I and calculates the analysis information A. The information analysis unit 33 estimates the estimation information E from the analysis information A. The information analysis unit 33 calculates the output information O including the recommendation information RI from the input information I, the analysis information A, and the estimation information E. The server 30 outputs the output information O from the information output unit 32 to the interface unit 20. The control unit 21 acquires the output information O from the communication unit 24 and displays it on the display unit 25. The user recognizes the recommendation information RI included in the output information O through the display of the display unit 25.

(Modification example)
The description of the embodiments is an example of possible forms of the oral care recommender system according to the present invention, and is not intended to limit the forms. In addition to the embodiments, the present invention may take, for example, a modification of the embodiment shown below and a combination of at least two modifications that do not contradict each other.

-The learning model M may be configured to output the result of regression analysis. In this case, the learning model M quantifies and outputs at least one of the degree of crowding, the degree of interdental space, and the degree of gingival recession.

-At least one of the trained model M1 and the trained model M2 may be a model trained by unsupervised learning or reinforcement learning. At least one of each learning model M11 to M15 and each learning model M21 to M25 may be a model learned by unsupervised learning or reinforcement learning.

The learning model M is a first trained model M1 for determining whether or not evaluation is possible without distinguishing between the first oral region R1 and the second oral region R2 in the oral image P, and a second trained model M for evaluation. It may be model M2. The learning model M may be a first trained model M1 that recognizes a set of teeth and gums in the oral image P and determines whether or not evaluation is possible, and a second trained model M2 that performs evaluation. good. Further, it may be a learning model M that recognizes a set of teeth and gums in the oral cavity region R and executes analysis when the majority can be evaluated. Further, it may be preset to adopt the analysis information A of each set of teeth and gums, or the analysis information A of each set of teeth and gums may be quantified and the average thereof may be adopted. Often, the analysis information A of each set of teeth and gums may be quantified, and the analysis information A having a large absolute value may be adopted.

The learning model M may be configured to display the oral cavity image P as the output information O in a pseudo color. In one example, the region used for analysis by the learning model M in the oral image P, or the region where the interdental space, gingival recession, and crowding occur is displayed in red. The user can easily recognize the area used for the analysis and the area where the oral condition has a problem.

-Analysis information A may include the degree of tooth stain at the first specific site. The information analysis unit 33 analyzes by a learning model for analyzing the stain of the tooth at the first specific site. The estimation information E includes information on the degree of tooth stain at the second specific site.

The output information O further includes at least one of information about the user's current oral condition, information about the user's future oral condition prediction, and information about the user's health condition affected by the user's oral condition. May be good. Information about the user's current oral condition includes interdental space in the user's oral cavity, gingival recession, crowding, gingival inflammation, unpolished, gingival, caries, hypersensitivity, mouth odor, and information about the presence or absence or degree of coloring, teeth. Information on the presence of periodontal disease, information on whether the chewing function is normal, information on whether the occlusion is normal, information on whether the swallowing function is normal, and the tooth corresponding to the second specific site. , Gingiva, and at least one piece of information regarding the condition of the oral mucosa. Information about the user's future oral prediction includes an estimated image showing the user's oral condition after a predetermined period of time. Information about the user's health condition affected by the user's oral condition includes, for example, information about non-oral health related to periodontal disease or oral condition.

The oral image P may be a moving image of the movement in the oral cavity and around the oral cavity, or a moving image including the movement when the user uses the oral care item. The oral image P may be an image including both the first specific part and the second specific part in the oral cavity, or may be an image containing only the second specific part.

-The response information may be configured based on the analysis information A of the oral image P. In one example, the oral image P is a moving image including the movement of the oral care item by the user when it is used. The response information includes information on a more appropriate usage method from the usage method of the user's oral care item included in the oral cavity image P. For example, if the time and frequency of using the oral care item between the central incisor T1 and the lateral incisor T2 of the user is short and there is unpolished residue, the response information is the central incisor T1 and the lateral incisor T2. Contains information that encourages you to perform intervening care.

-The input information I may be acquired via the IoT device. In one example, input information I is acquired by connecting an IoT device to an oral care item used for brushing. In one example, input information I includes information about the number of tooth brushes per day and the frequency of use of oral care items. The IoT device may transmit the input information I to the acquisition unit 23, or may transmit the input information I to the server 30.

-At least one of the learning model M, the correspondence table, and various information may be stored in a place other than the information storage unit 34 of the server 30. In one example, it is stored in a storage unit provided in the interface unit 20. In another example, it is stored in a database configured in the external environment.

The input information I may include a first input information I1 including the current state information of the user and a second input information I2 which is the past state information of the user. When the first input information I1 and the second input information I2 include the oral image P of the user, the oral image P included in the second input information I2 is the user's oral image P before the acquisition of the first input information I1. It is an image in the oral cavity. When the first input information I1 and the second input information I2 include the information about the oral care of the user, the information about the oral care contained in the second input information I2 is a predetermined time before the acquisition of the first input information I1. Information about oral care. The predetermined time is, in one example, one month or more. In another example, the predetermined time is one year or more. The second input information I2 may be transmitted to the server 30 via the communication unit 24 before the acquisition unit 23 acquires the first input information I1, and the second input information I2 may be transmitted to the server 30 at the same time as the transmission of the first input information I1 via the communication unit 24. May be transmitted to the server 30. In this case, the interface unit 20 further includes a storage unit that stores at least the second input information I2. The input information I may further include the third input information I3 acquired before the second input information I2 by a predetermined time. The information analysis unit 33 calculates the analysis information A and the estimation information E using at least one of the first input information I1 to the third input information I3. The accuracy is further improved by adding the third input information I3. The interval of the predetermined time may be changed by each input information I. The input information I may further include the input information I after the fourth input information.

10: Oral care recommendation system 20: Interface unit 30: Server 31: Information acquisition unit 32: Information output unit 33: Information analysis unit 34: Information storage unit A: Analysis information E: Estimated information I: Input information O: Output information RI : Recommendation information

Claims (8)

The information acquisition unit that acquires the input information from the interface unit, and the information acquisition unit
An information analysis unit that analyzes the oral condition of the user based on the input information,
It is provided with an information output unit that outputs the analysis result by the information analysis unit as output information.
The output information includes recommendation information regarding oral care of the user.
Oral care recommendation system. The oral care recommendation system according to claim 1, wherein the recommendation information includes oral care item recommendation information that recommends oral care items according to the oral condition of the user. The oral care recommendation system according to claim 2, wherein the oral care item includes at least one of a toothbrush, an interdental cleaning tool, and an oral cleaning agent. The oral care recommendation system according to claim 2 or 3, wherein the recommendation information further includes information on how to use the oral care item. The input information includes an image including the first specific site in the oral cavity of the user.
The oral care recommendation system according to claim 4, wherein the information regarding the usage of the oral care item includes at least the usage of the oral care item at the first specific site. The input information includes information about oral care of the user.
The oral care recommendation system according to any one of claims 1 to 5, wherein the output information further includes response information according to the information regarding the oral care of the user. The information regarding the oral care of the user includes information regarding the user's oral care item usage behavior, information regarding the user's lifestyle, information regarding the user's oral secretions, information regarding the user's oral flora, and the user's own information. The oral care recommendation system according to claim 6, wherein the information regarding the attribute and at least one of the information obtained by the sensor for detecting the state in the oral cavity are included. The information output unit outputs the output information to the interface unit, and the information output unit outputs the output information to the interface unit.
The oral care recommendation system according to any one of claims 1 to 7, wherein the interface unit includes a display unit that displays the output information.

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