Toothbrush suggestion system, toothbrush suggestion program, and toothbrush suggestion device

Abstract

This invention provides a toothbrush suggestion system, a toothbrush suggestion program, and a toothbrush suggestion device that suggest a toothbrush suitable for the user's brushing technique without correcting the user's brushing motion. [Solution] The present invention comprises an information acquisition unit 111 that acquires action information of the user's toothbrushing actions, a style information storage unit 121 that stores a plurality of toothbrushing styles classified according to the characteristics of the toothbrushing actions, a type information storage unit 122 that stores toothbrush types associated with toothbrushes suitable for each toothbrushing style, a style discrimination unit 114 that determines one or more toothbrushing styles from among the plurality of toothbrushing styles to which the user's toothbrushing actions belong based on the action information, and a toothbrush selection unit 115 that selects a toothbrush type from the type information storage unit 122 based on the one or more toothbrushing styles determined by the style discrimination unit 114.

Description

Technical Field

[0001] The present invention relates to a toothbrush proposal system, a toothbrush proposal program, and a toothbrush proposal device that propose a toothbrush.

Background Art

[0002] Conventionally, a system has been proposed that uses a smart device-type toothbrush equipped with a sensor and a communication function, grasps the current brushing situation of a user, and then makes a proposal to improve the user's brushing (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, even if a specific proposal is made on how to improve brushing, the user does not always execute it as proposed. Even users who are conscious of improving brushing have difficulty correcting their conventional brushing habits.

[0005] Therefore, the present invention provides a toothbrush proposal system, a toothbrush proposal program, and a toothbrush proposal device that propose a toothbrush suitable for the user's toothbrushing operation without correcting the toothbrushing operation.

Means for Solving the Problems

[0006] That is, the present invention includes the following inventions. (1) A toothbrush suggestion system comprising: an information acquisition unit that acquires action information which is information about the user's toothbrushing actions; a style information storage unit that stores information about multiple toothbrushing styles classified according to the characteristics of the toothbrushing actions; a type information storage unit that stores information about toothbrush types associated with each of the toothbrushing styles; a style discrimination unit that, based on the action information, determines one or more toothbrushing styles from among the multiple toothbrushing styles to which the user's toothbrushing actions belong; and a toothbrush selection unit that, based on the one or more toothbrushing styles determined by the style discrimination unit, selects the toothbrush type from the type information storage unit.

[0007] (2) The toothbrush suggestion system according to (1), wherein one or more toothbrush types are associated with each toothbrushing style, and the toothbrush selection unit selects one or more toothbrush types according to the toothbrushing style.

[0008] (3) The toothbrush suggestion system according to (1) or (2), which includes a detection means for detecting the user's toothbrushing actions, wherein the information acquisition unit analyzes the characteristics of the toothbrushing actions from the data detected by the detection means and acquires the characteristics as action information.

[0009] (4) The toothbrush suggestion system according to (3), which includes guidance means for instructing the user to perform a predetermined action, wherein the information acquisition unit analyzes the characteristics of the predetermined action from the data detected by the detection means and acquires the characteristics as action information.

[0010] (5) The toothbrush suggestion system according to (3), further comprising an imaging means for capturing images of the user's toothbrushing movements, wherein the information acquisition unit calculates changes in the position of the toothbrush or hand from the images of the user's toothbrushing movements captured by the imaging means, and acquires the calculation results as motion information.

[0011] (6) The toothbrush suggestion system according to (5), further comprising a type determination unit that determines the type of toothbrush used by the user based on video or images of the user's toothbrushing actions captured by the imaging means, or images of the toothbrush used by the user, wherein the toothbrush selection unit selects the type of toothbrush used by the user determined by the type determination unit from the type information storage unit.

[0012] (7) The toothbrush suggestion system according to (3), comprising questioning means for asking questions about oral cleaning and oral hygiene, including the user's toothbrushing actions, the toothbrush the user is using, and the user's oral condition, wherein the style determination unit determines the toothbrushing style to which the user's toothbrushing actions belong based on the action information and the answers obtained by the questioning means.

[0013] (8) The toothbrush suggestion system according to (7), further comprising a type determination unit that determines the type of toothbrush the user is using based on the answers obtained by the questioning means, wherein the toothbrush selection unit selects the type of toothbrush the user is using, determined by the type determination unit, from the type information storage unit.

[0014] (9) A toothbrush suggestion program for causing a computer to function as the information acquisition unit, style information storage unit, type information storage unit, style discrimination unit, and toothbrush selection unit provided in the toothbrush suggestion system described in (1). [Effects of the Invention]

[0015] According to the toothbrush suggestion system, toothbrush suggestion program, and toothbrush suggestion device of the present invention, by suggesting a toothbrush suitable for the user's brushing motion, effective oral cleaning can be performed by brushing without correcting the brushing motion, thereby improving oral health. [Brief explanation of the drawing]

[0016] [Figure 1] Block diagram showing a toothbrush proposal system according to an embodiment of the present invention. [Figure 2] Flowchart showing the setting of a brushing style and a toothbrush type suitable therefor. [Figure 3] Table showing information on brushing styles stored in the style information storage unit. [Figure 4] Table showing information on brushing styles stored in the style information storage unit. [Figure 5] Table showing information on toothbrush types stored in the type information storage unit. [Figure 6] Table showing the association of brushing styles and toothbrush types by the information association unit. [Figure 7] Flowchart showing the flow of the toothbrush proposal system according to an embodiment of the present invention. [Figure 8] Schematic diagram showing guiding means for guiding the user to start a brushing operation. [Figure 9] Schematic diagram showing guiding means for guiding the user to end a brushing operation. [Figure 10] Table showing an example of operation information acquired by the information acquisition unit. [Figure 11] Schematic diagram showing an example of a discrimination result and a proposal by the toothbrush proposal system according to an embodiment of the present invention. [Figure 12] Table used for discriminating a brushing operation in other applications of the toothbrush proposal system according to an embodiment of the present invention.

Mode for Carrying Out the Invention

[0017] Hereinafter, the toothbrush proposal system 1 according to an embodiment of the present invention will be described with reference to the drawings.

[0018] The toothbrush suggestion system 1, as shown in Figure 1, comprises a server device 10, a detection terminal 20, and a user terminal 30. The server device 10, the detection terminal 20, and the user terminal 30 are each provided with a communication unit (not shown) capable of connecting to a network N, and can connect to each other via the communication unit to send and receive information. The server device 10 consists of, for example, an information processing unit 11 and a storage unit 12. The information processing unit 11 consists of a CPU such as a microprocessor and its peripheral circuits, and performs the operation of the server device 10, communication with the detection terminal 20 and the user terminal 30, and various information processing in the toothbrush suggestion system 1. The storage unit 12 consists of memory and storage such as RAM and ROM, and stores programs for various information processing and data used in the toothbrush suggestion system 1, and also functions as a database.

[0019] The detection terminal 20 incorporates physical sensors (not shown) such as an acceleration sensor, magnetic sensor, angular velocity sensor, and pressure sensor, which detect the user's toothbrushing movements. While a smart toothbrush with built-in physical sensors used as an oral cleaning tool is preferred for the detection terminal 20, it can also be implemented with an electric toothbrush or manual toothbrush without built-in physical sensors, by combining it with a device equipped with physical sensors and a communication unit, such as a wearable device like a smartwatch, as the detection terminal. In the following description, the detection terminal 20 will be explained using a smart toothbrush as an example.

[0020] The user terminal 30 is an information processing terminal such as a smartphone or tablet that can display detection data detected by the detection terminal 20 and accept user input for the toothbrush suggestion system 1. In the following description, the user terminal 30 will be explained using a smartphone as an example.

[0021] Network N may be various communication methods such as the Internet, public telephone lines, mobile communication networks, LANs (Local Area Networks), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc., and these communication methods may be combined, and may be wired, wireless, or a combination of wired and wireless.

[0022] The detection terminal 20 detects the user's toothbrushing actions using physical sensors as detection means and transmits the detection data to the server device 10. The detection data includes data about toothbrushing actions such as the speed, direction, and angle of movement of the toothbrush, and the pressure applied to the teeth and gums. The detection data also includes time data such as the start time of toothbrushing, the end time of toothbrushing, and the duration of toothbrushing.

[0023] The server device 10 receives detection data transmitted from the detection terminal 20 via its communication unit and stores it cumulatively in the storage unit 12. The information processing unit 11 analyzes the detection data cumulatively stored in the storage unit 12. The information processing unit 11 executes the information acquisition unit 111, information setting unit 112, information linking unit 113, style discrimination unit 114, toothbrush selection unit 115, and type discrimination unit 116 according to the program stored in the storage unit 12.

[0024] The information processing unit 11 preferably applies supervised machine learning models such as random forests, k-NNs, or multi-class classification models such as convolutional neural networks (CNNs), but may also apply unsupervised machine learning models such as K-means clustering or hierarchical clustering, or semi-supervised machine learning models such as self-training or semi-supervised SVM. In addition to these machine learning models, the average acceleration a in the toothbrushing direction is 5 mm / s². 2Well-known methods utilizing statistical and time-series features may be applied, such as threshold classification (e.g., above), range classification (e.g., 2≦a≦3), temporal elements (e.g., a≧5 for 10 seconds or more), and relative changes (e.g., detecting twice the average acceleration a 10 times). The information processing performed by the information processing unit 11 in the following description will be explained using a supervised machine learning model as an example.

[0025] The memory unit 12 includes a data storage unit 120, a style information storage unit 121, and a type information storage unit 122. The data storage unit 120 cumulatively stores detection data transmitted from the detection terminal 20. The style information storage unit 121 stores information on multiple toothbrushing styles classified according to the characteristics of toothbrushing movements. The type information storage unit 122 stores information on toothbrush types associated with each toothbrushing style.

[0026] The information acquisition unit 111 analyzes the characteristics of toothbrushing movements from detection data detected by the detection terminal 20 and acquires movement information. The information setting unit 112 sets multiple toothbrushing styles and toothbrush types suitable for each toothbrushing style using a machine learning model that has been trained with previously anticipated toothbrushing movement characteristics as supervising data. In the case of unsupervised machine learning models and semi-supervised machine learning models, it is preferable to use the movement information acquired by the information acquisition unit 111 as one of the learning data, and when a new toothbrushing style is set based on the learning data, a new toothbrush type suitable for it may be set. The multiple toothbrushing styles set by the information setting unit 112 are stored in advance in the style information storage unit 121. The multiple toothbrush types set by the information setting unit 112 are stored in advance in the type information storage unit 122. At that time, the information linking unit 113 links each toothbrushing style to one or more toothbrush types. The style discrimination unit 114 determines, based on the movement information, which of the multiple toothbrushing styles the user's toothbrushing movements belong to. A user's toothbrushing actions may belong to one toothbrushing style or multiple toothbrushing styles. The toothbrush selection unit 115 selects one or more toothbrush types from the type information storage unit 122 based on one or more toothbrushing styles determined by the style determination unit 114. The one or more toothbrush types selected by the toothbrush selection unit 115, along with the one or more toothbrushing styles determined by the style determination unit 114, are transmitted to the user terminal 30 via the communication unit.

[0027] The following describes the sequence of steps for the toothbrush suggestion system 1 according to the present invention. First, as a preliminary step, the toothbrushing style and the toothbrush type suitable for it are set.

[0028] Referring to the flow shown in Figure 2, the information setting unit 112 sets up multiple toothbrushing styles consisting of at least one toothbrushing variable (step S21) and stores the toothbrushing styles in the style information storage unit 121 (step S22).

[0029] Specifically, as shown in the table data in Figure 3, toothbrushing variables for anticipated toothbrushing actions are pre-trained as training data for the machine learning model of the information processing unit 11. Typical examples of toothbrushing variables include force, direction, stroke, speed, angle, cleaning balance for front teeth / back teeth, cleaning balance for the front / back of teeth, cleaning balance at the gingival margin, and total duration of toothbrushing. The information setting unit 112 sets multiple toothbrushing styles based on the toothbrushing variables. In practice, toothbrushing styles are set using machine learning models or flowcharts based on the overall trends of multiple variables. In addition to setting toothbrushing styles, the information setting unit 112 generates descriptions for each toothbrushing style, such as what kind of toothbrushing action each style refers to and what characteristics it has, as shown in the table data in Figure 4. In practice, comments obtained from experts and others are learned as training data, and the information setting unit 112 may generate descriptions of toothbrushing styles using a machine learning model, or it may generate descriptions of toothbrushing styles using a separately prepared generation AI model with prompts that incorporate comments obtained from experts and others. This toothbrushing style information is stored in the style information storage unit 121. Furthermore, in order to affirm rather than negate the user's toothbrushing actions, the names of the toothbrushing styles are preferably positive names such as "Powerful" style, "Speedy" style, "Soft Touch" style, and "Balanced" style, as shown in Figures 3 and 4.

[0030] Furthermore, the information setting unit 112 sets at least one of multiple toothbrush types consisting of toothbrush variables (step S23), the information linking unit 113 links the toothbrush type as a toothbrush suitable for each brushing style (step S24), and stores it in the type information storage unit 122 (step S25).

[0031] Specifically, as shown in the table data in Figure 5, toothbrush variables for pre-defined toothbrushes are pre-trained as training data for the machine learning model of the information processing unit 11. Typical toothbrush variables include hardness (feel), processing of the bristle tips, bristle length, bristle density, bristle cutting shape, head size, head shape, and neck shape. Other variables include bristle material, diameter of the holes where bristles are implanted, diameter of each bristle, head thickness, handle shape, grip material, number of holes per head, spacing between holes, and bristle area. In practice, the toothbrush type is determined based on the overall trend of multiple variables, using a machine learning model or expert judgment.

[0032] When the information setting unit 112 sets the toothbrush type, the information linking unit 113 links the toothbrush type to each toothbrush style based on the toothbrush variable of the toothbrush type shown in Figure 5 and the toothbrush variable of each toothbrush style shown in Figure 3. The information linking unit 113 links the toothbrush style and toothbrush type as shown in the table data in Figure 6, and generates a description of the toothbrush type that the information setting unit 112 has linked as suitable for each toothbrush style. In practice, comments obtained from experts, etc. are learned as training data, and the information setting unit 112 may generate the description of the toothbrush type using a machine learning model, or it may generate the description of the toothbrush type using a separately prepared generation AI model with prompts incorporating comments obtained from experts, etc. This toothbrush type information is stored in the type information storage unit 122. When the information linking unit 113 links the toothbrush type to the toothbrush style, it is sufficient to link them in such a way that at least one appropriate toothbrush type is presented for each toothbrush style. Furthermore, the system may be linked to present three toothbrush types from a selection of several suitable toothbrush types, as shown in Figure 6. These three toothbrush types are, but are not limited to, the top three determined by machine learning models or experts to be suitable for the toothbrushing style. This completes the preliminary setup.

[0033] Next, the system detects the user's brushing motion and suggests a toothbrush suitable for that motion. Referring to the flow shown in Figure 7, the user is guided to perform a toothbrushing action (step S71) using the screen UI1 displayed on the monitor of the user terminal 30 as a guidance means. Audio from the speaker of the user terminal 30 may also be used as a guidance means. The user performs a start operation on the user terminal 30 in accordance with the guidance and starts the toothbrushing action using the detection terminal 20 which is electrically connected to the user terminal 30 in advance. The physical sensor of the detection terminal 20 detects the user's toothbrushing action (step S72). When the user finishes the toothbrushing action, the detection by the detection terminal 20 is terminated via the screen UI2 displayed on the monitor of the user terminal 30 as shown in Figure 9 (step S73). The detection terminal 20 transmits detection data to the server device 10 via the communication unit (step S74). The detection data for the series of toothbrushing actions from the start to the end of detection by the detection terminal 20 may be transmitted to the server device 10 all at once, or the detection data may be transmitted sequentially from the start to the end of detection by the detection terminal 20. The detection data is, for example, time-series waveform data consisting of the time domain and the frequency domain. Alternatively, data that has been pre-processed for evaluation from time-series waveform data may also be used.

[0034] When the server device 10 receives detection data via the communication unit, it stores the detection data in the data storage unit 120 (step S75). The information acquisition unit 111 analyzes the characteristics of the user's toothbrushing movements from the time-series waveform data, which is the detection data, and acquires movement information (step S76). The style discrimination unit 114 determines the toothbrushing style to which the user's toothbrushing movements belong based on the movement information (step S77).

[0035] Specifically, the style discrimination unit 114 discriminates the toothbrushing style based on the operation information acquired by the information acquisition unit 111, for example, table data as shown in Figure 10. The operation information is, for example, feature quantities obtained by analyzing time-series waveform data. The information acquisition unit 111 analyzes the feature quantities using statistical quantities such as mean, variance, kurtosis, and skewness in the time domain included in the time-series waveform data, spectral analysis using Fourier transform and power spectral density in the frequency domain included in the time-series waveform data, and wavelet transform in the time and frequency domains.

[0036] The motion information includes feature quantities of the user's toothbrushing actions in each of the multiple sections that divide the user's series of toothbrushing actions, as shown in Figure 10. The style determination unit 114 determines which toothbrushing style each section belongs to based on the feature quantities shown in Figure 10. A series of toothbrushing actions can be divided into multiple sections based on differences in time, actions, areas brushed, etc. The style determination unit 114 may also determine which toothbrushing style belongs to the series of movements from the start to the end of the user's toothbrushing as a single unit, without dividing it into sections. Furthermore, the user's toothbrushing actions may belong to one toothbrushing style or to multiple toothbrushing styles.

[0037] The toothbrush selection unit 115 selects a toothbrush type from the type information storage unit 122 based on the toothbrushing style determined by the style determination unit 114 (step S78), and transmits the toothbrushing style and its associated toothbrush type to the user terminal 30 via the communication unit (step S79). Specifically, the toothbrush selection unit 115 selects one or more toothbrush types associated with each toothbrushing style from the type information storage unit 122. The one or more toothbrush types selected by the toothbrush selection unit 115 are transmitted to the user terminal 30 via the communication unit along with the toothbrushing style that formed the basis of the selection. The user terminal 30 displays each toothbrushing style and its associated one or more toothbrush types on the monitor (step S710). For example, if the toothbrush suggestion system 1 according to the present invention determines that a series of toothbrushing actions performed by the user belong to a toothbrushing style and suggests multiple toothbrush types as suitable for that style, a screen UI 3 representing the determination result, as shown in Figure 11, is displayed on the monitor of the user terminal 30. The display content shown in Figure 11 includes, but is not limited to, the user's toothbrushing style, the toothbrush type suitable for it, and its description. The display content may also include a description of what the determined toothbrushing style is, and may also include the toothbrushing variables and toothbrush variables used in the determination. This completes the process of detecting the user's toothbrushing actions and suggesting a suitable toothbrush. The determination results each time may be stored in a data storage unit 120 or the like as training data for a machine learning model. Furthermore, the toothbrush suggestion system 1 according to the present invention described above may be implemented using only the detection terminal 20 and the user terminal 30 without a server device 10, or it may be implemented using only the user terminal 30.

[0038] As another application, the toothbrush suggestion system 1 according to the present invention can determine the toothbrushing style to which a user's toothbrushing actions belong by utilizing table data as shown in Figure 12. For example, the detection terminal 20 is a smart toothbrush with replaceable toothbrush heads, and five toothbrush heads of the same type or five different types are provided. The user replaces one toothbrush head each day, and the style determination unit 114 determines what toothbrushing style is being used in each series of toothbrushing actions with that brush head. Based on the determination results for five days, i.e., when the user has used all five toothbrush heads and performed toothbrushing actions every other day, the style determination unit 114 determines what toothbrushing style the user's toothbrushing actions belong to. If the determination results for those five days are, for example, A, B, A, A, C as shown in Figure 12, then it can be determined that the user's toothbrushing actions belong to toothbrushing style A, i.e., "powerful," which was the most frequent in the determination results. If it can be determined that the user belongs to the "Powerful" category, the determination result shown in Figure 11 will be displayed on the monitor of the user terminal 30. If the determination results for those five days were, for example, A, A, B, B, C, then it can be determined that the user's series of toothbrushing actions belong to the most frequent styles A and B, i.e., "Powerful" and "Speedy," respectively. In this case, the toothbrush types associated with "Powerful" and "Speedy," for example, the first and second highest priority suggested toothbrush types, will be displayed on the monitor of the user terminal 30 as part of the determination result.

[0039] Furthermore, the information acquisition unit 111 can also analyze data obtained from imaging means and questioning means as detection data, in addition to detection data obtained from the detection terminal 20 which has detection means, and acquire operation information. As the imaging means, an imaging terminal such as a camera built into the user terminal 30 or separately provided is used. The imaging terminal captures images or videos of the toothbrushing action or the inside of the mouth being performed by the user, and the captured image data or video data is used as one of the detection data. The information acquisition unit 111 analyzes the image data or video data using a machine learning model and acquires the analysis results as operation information.

[0040] The means of asking questions include using the monitor screen or speaker on the user terminal 30 to conduct questionnaires about basic information such as the user's date of birth, and questions about oral cleaning and oral hygiene. It is preferable to have multiple items for the questionnaires and questions conducted by the user terminal 30. For questions about oral cleaning and oral hygiene, it is preferable to have questionnaire-like content such as the status of oral cleaning, such as the oral cleaning tools used and the time spent brushing teeth, and the current state of the oral cavity, such as bad breath and bleeding. The answers to the questions can be used as one of the detection data. In addition, it is preferable to ask about the user's preferences for toothbrushes in the questionnaire and train a machine learning model with these answers. In this case, the information acquisition unit 111 uses the machine learning model to analyze patterns in the user's tooth brushing actions and acquires the analysis results as action information.

[0041] The toothbrush suggestion system 1 according to the present invention further comprises a type determination unit 116 that uses at least one of an imaging means and a questioning means to determine the type of toothbrush the user is using. The type determination unit 116 can determine the type of toothbrush the user is using and also determine whether the toothbrush type is suitable for the brushing style that the user is using. As a result, by using the toothbrush suggestion system 1 according to the present invention, the user can not only find out what kind of brushing style their brushing actions belong to and what type of toothbrush is suitable for that brushing style, but also understand whether the toothbrush type of toothbrush they are currently using is suitable for their brushing actions. Furthermore, by understanding whether the toothbrush type of toothbrush they are currently using is suitable for their brushing actions, they can gain a sense of satisfaction with the toothbrush type suggested by the toothbrush suggestion system 1 according to the present invention.

[0042] Furthermore, the toothbrush suggestion system 1 according to the present invention may be implemented using only a detection terminal 20 that does not function as an oral cleaning tool, such as a smartphone or smartwatch. In that case, the toothbrush suggestion system 1, via guidance means, performs simulated user toothbrushing actions on the detection terminal 20, or performs alternative actions that can indirectly infer the user's toothbrushing actions on the detection terminal 20. The style determination unit 114 determines the toothbrushing style to which the simulated user toothbrushing actions or alternative actions belong, and the toothbrush selection unit 115 selects a toothbrush type suitable for that toothbrushing style.

[0043] Furthermore, the toothbrush suggestion system 1 according to the present invention may be implemented using only questioning means performed on the user terminal 30. In that case, it is preferable that the content of the questions asked by the questioning means of the toothbrush suggestion system 1 includes questions that inquire about the user's behavioral preferences, which can lead to the inference of the user's toothbrushing actions. The style determination unit 114 determines the toothbrushing style to which the user's toothbrushing actions inferred by the questioning means belong, and the toothbrush selection unit 115 selects a toothbrush type suitable for that toothbrushing style.

[0044] As a result, the toothbrush suggestion system 1 according to the present invention suggests a toothbrush suitable for the user's brushing motion, enabling effective oral cleaning through brushing without correcting brushing motion, and improving oral health.

[0045] Although embodiments of the present invention have been described above, the present invention is not limited in any way to these examples, and can be implemented in various forms without departing from the spirit of the invention. [Explanation of symbols]

[0046] 1. Toothbrush recommendation system 10 Server devices 11. Information Processing Unit 12 memory units 20 detection terminals 30 User terminals 111 Information Acquisition Department 112 Information Setting Section 113 Information linking section 114 Style discrimination unit 115 Toothbrush Selection Section 116 Type discrimination unit 120 Data Storage Unit 121 Style Information Storage Unit 122 Type Information Storage Unit N Network UI1, UI2, UI3 screens

Claims

1. An information acquisition unit that acquires action information, which is information about the user's toothbrushing actions, A style information storage unit that stores information on multiple toothbrushing styles classified according to the characteristics of toothbrushing movements, A type information storage unit that stores information about toothbrush types associated with each toothbrush style, A style determination unit that determines, based on the aforementioned operation information, one or more toothbrushing styles from among the plurality of toothbrushing styles to which the user's toothbrushing action belongs, The system includes a toothbrush selection unit that selects the toothbrush type from the type information storage unit based on the one or more toothbrush styles determined by the style determination unit, Toothbrush recommendation system.

2. Each of the aforementioned toothbrushing styles is associated with one or more toothbrush types. The toothbrush selection unit selects one or more toothbrush types according to the toothbrushing style, as described in claim 1.

3. The system includes a detection means for detecting the user's toothbrushing actions, The toothbrush suggestion system according to claim 1 or 2, wherein the information acquisition unit analyzes the characteristics of the toothbrushing operation from the data detected by the detection means and acquires the characteristics as operation information.

4. The system includes guidance means for instructing the user to perform a predetermined action, The toothbrush suggestion system according to claim 3, wherein the information acquisition unit analyzes the characteristics of the predetermined operation from the data detected by the detection means and acquires the characteristics as operation information.

5. The system includes imaging means for capturing images of the user's toothbrushing actions, The toothbrush suggestion system according to claim 3, wherein the information acquisition unit calculates changes in the position of the toothbrush or hand from the video of the user's toothbrushing motion captured by the imaging means, and acquires the calculation result as motion information.

6. The system further includes a type determination unit that determines the type of toothbrush being used by the user based on video or images of the user's toothbrushing actions captured by the imaging means, or images of the toothbrush being used by the user. The toothbrush selection unit selects the toothbrush type of the toothbrush being used by the user, as determined by the type determination unit, from the type information storage unit, according to claim 5, for the toothbrush suggestion system.

7. The system includes questioning means for conducting questions related to oral cleaning and oral hygiene, including the user's toothbrushing actions, the toothbrush the user is using, and the user's oral condition. The toothbrush suggestion system according to claim 3, wherein the style determination unit determines the toothbrushing style to which the user's toothbrushing action belongs, based on the operation information and the answers obtained by the questioning means.

8. The system further includes a type determination unit that determines the type of toothbrush the user is using based on the answers obtained by the aforementioned questioning means. The toothbrush selection unit selects the toothbrush type of the toothbrush being used by the user, as determined by the type determination unit, from the type information storage unit, in the toothbrush suggestion system according to claim 7.

9. A toothbrush suggestion program for causing a computer to function as the information acquisition unit, style information storage unit, type information storage unit, style discrimination unit, and toothbrush selection unit provided in the toothbrush suggestion system described in claim 1.

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