Oral health interaction method, system, device, medium and program product based on large model

Abstract

This disclosure relates to the field of oral hygiene technology, specifically disclosing a method, system, device, medium, and program product for oral health interaction based on a large model. The method includes: before the oral hygiene process begins, determining the current oral hygiene plan based on a received oral hygiene planning request using a large model; during the oral hygiene process, dynamically adjusting the current oral hygiene plan based on collected oral hygiene data using the large model; and after the oral hygiene process is completed, determining the response result to the received oral hygiene evaluation request based on the large model and historical oral hygiene data. The technical solution provided by this disclosure leverages the advantages of intelligent interaction through a large model during the oral hygiene process, providing targeted feedback and suggestions to users at each stage, thus helping to improve the effectiveness and efficiency of oral hygiene.

Description

Technical Field

[0001] This disclosure relates to the field of oral hygiene technology, and in particular to an oral health interactive method, system, device, medium and program product based on a large model. Background Technology

[0002] In existing oral hygiene methods, when brushing, flossing, or using other cleaning tools, users can usually only judge the cleaning effect based on the oral feel, the amount of foam, or personal experience. They do not make special, additional, or systematic plans for oral hygiene, making it difficult for users to effectively, timely, and accurately obtain information about their own oral hygiene status.

[0003] Meanwhile, during the process of using a smart dental cleaning kit to clean teeth, the oral cleaning data collected is highly specialized, making it difficult for users to intuitively perceive their own oral cleaning status and what adjustments and changes need to be made in subsequent oral cleaning processes. Furthermore, oral cleaning strategies are often formulated based on general oral cleaning standards and cannot be well adapted to the actual situation of users. Summary of the Invention

[0004] The purpose of this disclosure is to provide an oral health interaction method, system, device, medium, and program product based on a large model. This method leverages the advantages of intelligent interaction through the large model during oral cleaning, providing users with targeted feedback and suggestions at each stage of the oral cleaning process, thereby improving the effectiveness and efficiency of oral cleaning.

[0005] To address the aforementioned technical problems, the first aspect of this disclosure provides an oral health interaction method based on a large model, which may specifically include the following steps: Before the oral cleaning process begins, the oral cleaning plan is determined using a large model based on the received oral cleaning planning request. During the oral hygiene process, the oral hygiene plan is dynamically adjusted based on the collected oral hygiene data through a large model. After the oral cleaning process is completed, based on the received oral cleaning assessment request, the response result of the oral cleaning assessment request is determined by using a large model and historical oral cleaning data.

[0006] In one possible implementation of the first aspect described above, the oral health interaction method based on a large model may further include the following steps: Based on the received oral health-related requests, determine whether there is a corresponding interactive response template for those requests: If so: Based on the interactive response template, call the user's oral cleaning data stored in the oral cleaning database to generate interactive response feedback corresponding to oral-related needs; If not: Invoke the large model and generate corresponding interactive response feedback based on oral hygiene prompts related to oral health needs.

[0007] In one possible implementation of the first aspect above, oral health-related needs include first user needs provided in text form, second user needs provided in a combination of text and images, and third user needs provided in a combination of text and video. When oral health-related needs are those of the second or third user, a large model supporting multimodal analysis is invoked to generate corresponding interactive response feedback.

[0008] In one possible implementation of the first aspect mentioned above, the process of calling the large model and generating corresponding interactive response feedback based on oral hygiene prompts related to oral health needs includes: When oral health-related needs are linked to a user's oral health condition, the system accesses the user's oral hygiene data stored in the oral hygiene database to assist in generating interactive response feedback.

[0009] In one possible implementation of the first aspect above, the process of determining the current oral hygiene plan through a large model includes the following steps: Based on the user's historical oral hygiene records and oral hygiene planning requests, determine the goals for the current oral hygiene session; Based on the current oral hygiene goals and historical oral hygiene data, a visual oral hygiene animation is generated and presented. The current oral hygiene plan includes the oral hygiene animation.

[0010] In one possible implementation of the first aspect above, the process of dynamically adjusting the oral cleaning plan based on the collected oral cleaning data through a large model includes the following steps; Update the oral cleaning animation based on the collected oral cleaning data; Based on the images captured from the collected oral cleaning data, a large model is used to determine whether there is any oral damage, and if oral damage is found, the control parameters of the dental cleaning device are remotely adjusted; and / or Provides warning information about oral injuries.

[0011] The second aspect of this disclosure provides an oral hygiene interactive system based on a large model, which may specifically include: The intelligent cleaning planning unit is used to determine the oral cleaning plan for the current oral cleaning session based on the received oral cleaning planning request and through a large model before the oral cleaning process begins. The intelligent cleaning adjustment unit is used to dynamically adjust the oral cleaning plan during the oral cleaning process based on the collected oral cleaning data through a large model. The intelligent cleaning assessment unit is used to determine the response result of the oral cleaning assessment request based on the received oral cleaning assessment request after the oral cleaning process is completed, using a large model and historical oral cleaning data.

[0012] A third aspect of this disclosure provides an electronic device, which may include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the processor stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the large-model-based oral health interaction method provided in the first aspect.

[0013] The fourth aspect of this disclosure provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the oral health interaction method based on a large model provided in the first aspect.

[0014] The fifth aspect of this disclosure provides a computer program product, which may specifically include a computer program that, when executed by a processor, implements the large-model-based oral health interaction method provided in the first aspect.

[0015] The technical solution disclosed herein leverages the advantages of a large-scale model to achieve intelligent interaction during oral cleaning, providing users with targeted guidance, suggestions, and feedback at different stages of the process: before oral cleaning begins, a targeted oral cleaning plan can be developed based on the user's historical oral cleaning habits and conditions; during oral cleaning, the large-scale model can dynamically adjust the oral cleaning plan based on collected oral cleaning data; and after oral cleaning is completed, the large-scale model can provide targeted oral assessment results. By utilizing the large-scale model throughout the entire oral cleaning lifecycle, it helps to improve the effectiveness and efficiency of oral cleaning for users, and has significant potential for widespread adoption. Attached Figure Description

[0016] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0017] Figure 1 This is a flowchart illustrating an oral health interaction method based on a large model, according to an embodiment of this disclosure. Figure 2 This is a structural schematic diagram of an intelligent oral hygiene kit product provided according to an embodiment of the present disclosure; Figure 3This is a schematic diagram of a process for determining the oral cleaning plan for a given time using a large model, according to an embodiment of this disclosure; Figure 4 This is a flowchart illustrating a process for dynamically adjusting the oral cleaning plan based on collected oral cleaning data using a large model, according to an embodiment of this disclosure. Figure 5 This is a flowchart illustrating another oral health interaction method based on a large model provided according to an embodiment of the present disclosure; Figure 6 This is a schematic diagram of an oral cleaning interaction scenario based on a large model, according to an embodiment of this disclosure; Figure 7 This is a schematic diagram of the structure of an oral cleaning interactive system based on a large model, according to an embodiment of this disclosure; Figure 8 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present disclosure. Detailed Implementation

[0018] Based on the relevant descriptions in the background art, during oral hygiene, users find it difficult to effectively, timely, and accurately obtain information about their own oral hygiene status. Furthermore, oral hygiene strategies are often formulated based on general oral hygiene standards and may not be well-suited to the user's actual situation. To address these technical problems, some embodiments of this disclosure provide an oral health interaction method, system, device, medium, and program product based on a large model. This allows for intelligent interaction through the application of a large model during oral hygiene, providing targeted feedback and suggestions to users at each stage of the process, thus helping to improve the effectiveness and efficiency of oral hygiene.

[0019] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the various embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will understand that many technical details are provided in the embodiments of this disclosure to facilitate a better understanding of the disclosure. However, the technical solutions claimed in this disclosure can be implemented even without these technical details and various variations and modifications based on the following embodiments. The division of the following embodiments is for ease of description and should not constitute any limitation on the specific implementation of this disclosure. The various embodiments can be combined with and referenced by each other without contradiction.

[0020] In some embodiments of this disclosure, Figure 1 A flowchart illustrating an oral health interaction method based on a large model is shown, such as... Figure 1 As shown, process 100 may specifically include the following steps: Step 110: Before the oral cleaning process begins, the oral cleaning plan for the current session is determined using a large model based on the received oral cleaning planning request. In some embodiments, the oral cleaning planning request can be user-defined input. For example, if a user feels discomfort between their teeth after a meal, they can input their desired oral cleaning command via voice or other means, and the smart terminal will automatically generate the corresponding oral cleaning planning request. In other embodiments, the oral cleaning planning request can also be automatically generated based on the user's historically set oral cleaning plan. For example, if a user has set up to perform evening oral cleaning at 9 PM every night, the smart terminal can generate the corresponding oral cleaning plan for the current session at 9 PM every night. This is not limited to any particular method.

[0021] In some embodiments, the smart terminal can be a smart device with a multimedia interactive interface that works with the dental cleaning device. For example, it can be a smart oral cleaning assistant with a touchscreen, a tablet computer, a smartphone, etc., and is not limited thereto. That is, the technical solution provided in this disclosure can be applied to a smart oral cleaning kit product composed of a smart terminal with a multimedia intelligent interactive interface and a dental cleaning device. In some embodiments, exemplarily, Figure 2 A schematic diagram of the structure of a smart oral hygiene kit product is shown, such as... Figure 2 As shown, the dental cleaning device 210 can be a smart toothbrush (or other dental cleaning devices such as a water flosser, which are not limited here). When not in use, it can be placed on the smart base 200 for storage and power replenishment. The smart terminal 220 can be a smart terminal with a touch screen, which can be placed on the smart base 200, either fixedly connected to the smart base 200 or detachably connected to the smart base 200, allowing users to conveniently position the smart terminal 220 at the brushing position, which is not limited here. In some embodiments, the touch screen 221 on the smart terminal 220 can be used to display oral cleaning plans, specific cleaning process diagrams, etc., to help users more intuitively understand their real-time oral cleaning status, which is not limited here. In some embodiments, data interaction between the smart terminal 220 and the dental cleaning device 210 can be achieved through wireless transmission, such as via WiFi, Bluetooth, or other feasible connection methods, which are not limited here. The response results of the current oral cleaning plan and oral cleaning assessment request provided in the foregoing embodiments and subsequent steps can be generated by the local processing terminal of the smart terminal 220, or they can be directly provided by external data. The smart terminal 220 only provides a display function, which is not limited here. It is understood that, although in... Figure 2The schematic diagram shown only illustrates the structural appearance of a smart terminal 220, but does not limit the possible types of smart terminal 220. For example, smart terminal 220 can also be a smartphone with relevant applications installed, allowing users to access the device through both the dental cleaning equipment and the smartphone. In other embodiments, in addition to a touchscreen as an interactive interface, smart terminal 220 may also have audio recording devices such as a microphone and speaker to receive the user's voice input; this is not limited here. The specific generation of the oral cleaning plan will be described later in conjunction with embodiments, and will not be elaborated here.

[0022] Step 120: During the oral cleaning process, based on the collected oral cleaning data, the oral cleaning plan for that session is dynamically adjusted using a large model. In some embodiments, the oral cleaning plan for that session may specifically include the cleaning intensity and time for each area of ​​the user's mouth, and the cleaning intensity parameters of the oral cleaning device in different areas of the mouth, such as the vibration intensity of the smart toothbrush, the pressure and frequency of the smart water flosser, etc., which are not limited here. In some embodiments, the oral cleaning plan is specifically generated dynamically based on general oral cleaning standards combined with the user's actual oral cleaning process. During the actual cleaning process, as the collected oral cleaning data changes, the multimodal analysis capabilities of the large model can be used to assess whether the set oral cleaning plan for that session needs to be dynamically adjusted, such as appropriately reducing the cleaning intensity of the smart toothbrush, so that it can better match the user's actual oral cleaning situation. The specific implementation of dynamically adjusting the oral cleaning plan for that session will be described in detail later with reference to the embodiments, and will not be elaborated here.

[0023] Step 130: After the oral cleaning process is completed, based on the received oral cleaning assessment request, the response result of the oral cleaning assessment request is determined through the large model and historical oral cleaning data. In some embodiments, specifically, after completing a single oral cleaning process, users often want to understand the cleaning effect they have achieved through that cleaning. At this time, the natural language processing capabilities of the large model can be used to generate a user-specific oral cleaning assessment result based on the execution of the current oral cleaning process and the user's historical oral cleaning process. It is understood that through the above process 100, targeted guidance, suggestions, and feedback can be provided to users at different stages of the oral cleaning process. By calling the large model throughout the entire oral cleaning lifecycle, it helps to improve the user's oral cleaning effect and efficiency, and has promotional value. In some embodiments, the large model used in the above process 100 can be a student model obtained by knowledge distillation of the teacher model deployed on a smart terminal, or it can be used by calling the large model deployed in the cloud through interface calls. There is no limitation here. The specific implementation of each step in the above process 100 will be described below with reference to specific embodiments.

[0024] In some embodiments of this disclosure, specifically, Figure 3 This diagram illustrates a process for determining the current oral hygiene plan using a large model, such as... Figure 3 As shown, process 300 may specifically include the following steps: Step 310: Determine the oral cleaning goal for the current session based on the user's historical oral cleaning history and oral cleaning planning request. It is understood that in some embodiments, in determining the oral cleaning goal for the current session, in addition to considering the user's oral cleaning planning request, the user's historical oral cleaning history may also be taken into account, so that the generated oral cleaning plan for the current session can fit the user's actual oral condition.

[0025] Step 320: Based on the current oral cleaning goals and historical oral cleaning data, generate and present a visual oral cleaning animation. In some embodiments, the current oral cleaning plan may specifically include an oral cleaning animation, which is not limited here; by providing a visual oral cleaning animation, users can intuitively obtain the current distribution of dirt on their teeth, and can clean more effectively in subsequent oral cleaning processes, which is not limited here.

[0026] In some embodiments of this disclosure, specifically, Figure 4 This diagram illustrates a process for dynamically adjusting the oral hygiene plan based on collected oral hygiene data using a large model. Figure 4 As shown, process 400 may specifically include the following steps; Step 410: Update the oral cleaning animation based on the collected oral cleaning data. In some embodiments, specifically, the oral cleaning animation provided in the aforementioned process 300 can be continuously and visually updated according to the oral cleaning process, so that users can more intuitively obtain the execution status of the oral cleaning process, which is not limited here.

[0027] Step 420: Based on the images captured from the collected oral cleaning data, a large-scale model is used to determine whether oral damage exists, and if oral damage is found, the control parameters of the dental cleaning device are remotely adjusted; and / or oral damage warning information is provided. It is understood that in some embodiments, the top of the dental cleaning device may be equipped with an image acquisition sensor, which can acquire and update the condition of the user's oral cavity in real time during the oral cleaning process; if abnormalities such as bleeding or swelling are observed in the captured images, the image analysis processing capabilities of the large-scale model can be used to determine whether there is damage inside the oral cavity due to over-cleaning. In other embodiments, in addition to determining whether oral damage exists based on the images captured from the collected oral cleaning data using a large-scale model, the large-scale model can also determine whether oral damage exists based on the user's voice content. For example, if the user reports bleeding or pain in the gums during the dental cleaning process, the large-scale model can determine the presence of oral damage based on the speech recognition results; this is not limited to this specific embodiment.

[0028] In some embodiments, further, when oral damage exists, oral damage warning information can be provided to the user to remind the user to avoid causing secondary damage to the damaged area, which is not limited here; in some embodiments, further, various control parameters of the dental cleaning device can be linked to avoid over-cleaning leading to new oral damage, wherein the remote adjustment of the dental cleaning device may specifically include reducing the vibration frequency of the electric toothbrush from high frequency to medium and low frequency, switching the water flow pulse intensity of the water flosser from level three to level one or level two, etc., which is not limited here.

[0029] It is understood that, based on the relevant descriptions of the foregoing embodiments, the natural language processing capabilities of the large model can be utilized to provide users with targeted and easily understandable oral hygiene plans, assessments, and suggestions during the overall oral hygiene process. In other application scenarios, users may inquire about and learn about their oral health in their daily lives outside of oral hygiene. For example, if a user learns about oral hygiene tips they were previously unaware of through social media, they can verify this information with the large model using the interaction methods provided in this disclosure and flexibly apply this knowledge to their subsequent oral hygiene process. In this case, the oral hygiene interaction is decoupled from the specific oral hygiene process, and users can perform oral hygiene interactions anytime and anywhere using the smart terminals provided in this disclosure; this is not limited to this. In some embodiments of this disclosure, further... Figure 5 A flowchart illustrating another oral health interaction method based on a large model is shown, such as... Figure 5 As shown, process 500 may include the following steps: Step 510: Based on the received oral health-related requests, determine whether a corresponding interactive response template exists for each request. In some embodiments, for example, using... Figure 2 Taking the illustrated smart oral hygiene kit as an example, users can perform intelligent interactions related to oral health through the smart terminal 220. Based on the description of the foregoing embodiments, it is understood that the smart terminal 220 can not only interact with the dental cleaning device 210, but also remotely connect and exchange data with an oral hygiene database platform or cloud server that stores oral hygiene data. Specifically, the smart terminal 220 can upload oral health data and / or oral hygiene data obtained by the user during each cleaning process to the oral hygiene database platform or cloud server via wireless transmission or other means, which is not limited here.

[0030] In some embodiments, specifically, such as Figure 2 The smart terminal 220 shown supports intelligent question-and-answer for oral health-related needs, and also allows users to perform regular large-scale model question-and-answer interactive operations using the smart terminal provided in this disclosure. For example, during teeth cleaning, users can learn about the weather this week through voice question-and-answer interaction with the smart terminal. It can utilize the general processing capabilities of the large model to improve the user's oral cleaning experience, which is not limited here. In some embodiments, further, in order to enable the smart terminal 220 to support regular large-scale model question-and-answer interaction, before performing the aforementioned step 510, the smart terminal 220 can first determine locally whether the user's request is an oral health-related request, or it can directly provide the user's request content to the large model, and the large model can directly make a judgment and corresponding response, which is not limited here.

[0031] In some embodiments, oral health-related needs can be provided in the form of a first user need (text), a second user need (text and image combined), and a third user need (text and video combined). The multimodal analysis capabilities of a large model can be used to generate corresponding interactive responses. Specifically, when the oral health-related need is a second or third user need, a large model supporting multimodal analysis can be invoked to generate the corresponding interactive response; this is not limited here. Further in some embodiments, upon receiving an oral health-related need, it can be determined whether the user's need requires invoking a large model: if the user only needs to view their historical oral hygiene records, then there is no need to invoke a large model; the interaction can be achieved using a preset interactive response template. This saves the lexical and computational resources required to invoke a large model, while also specifically improving the response speed for some oral health-related needs, thus enhancing the user experience.

[0032] Step 520: If a corresponding interactive response template exists for the oral health-related needs, the user's oral hygiene data stored in the oral hygiene database is retrieved based on the interactive response template to generate the corresponding interactive response feedback. It is understood that, with the existence of an interactive response template, the required oral hygiene data can be directly retrieved from the corresponding database to generate accurate interactive response feedback; users can also generate interactive response feedback through other pre-defined methods, which are not limited here. In some embodiments... Step 530: When no corresponding interactive response template exists for oral health-related needs, the large model is invoked to generate corresponding interactive response feedback based on the oral hygiene prompts corresponding to the oral health-related needs. In some embodiments, steps 520 and 530 can be executed synchronously or asynchronously, which is not limited here. In some embodiments, specifically, during the generation of interactive response feedback, when oral health-related needs are associated with the user's oral health condition, the user's oral hygiene data stored in the oral hygiene database is invoked to assist in generating interactive response feedback. That is, the large model invocation adopted by the technical solution provided in this disclosure supports invocation of third-party databases, which can obtain more accurate and more relevant interactive response feedback to the user's actual needs while avoiding the illusion of a large model, which is not limited here. In some embodiments, for example, when the user... Figure 2When the smart terminal 220 asks about its brushing and oral health, the big data model sends a request to the user's oral hygiene database, which stores historical brushing data, to retrieve the user's historical oral hygiene data (which may include historical oral hygiene status assessment data, historical brushing data, etc., without limitation). Further, through data cleaning and other preprocessing measures, the big data model extracts key brushing and oral hygiene data necessary to answer the user's oral health needs. Based on the extracted key information, the big data model generates personalized interactive feedback and, through methods such as... Figure 2 The terminal device shown plays the audio at 220 RPM, which is not limited here. In some embodiments, the historical oral cleaning data requested by the large model may further include the user's oral history data records (such as oral health screening records, treatment history, dietary habits, etc.) and general information (such as user gender, date of birth, etc.). The above information can help the large model better generate interactive response feedback that matches the user's personality, which is not limited here.

[0033] In some embodiments of this disclosure, exemplarily, Figure 6 A schematic diagram of an interactive oral hygiene scenario based on a large model is shown, such as... Figure 6 As shown, when user 610 provides a voice request to smart terminal 620, smart terminal 620 converts the voice request into a user request and sends it to big data processing terminal 630. After judging the type of user request, big data processing terminal 630 can request relevant user oral data from oral hygiene database 640 and generate personalized interactive response feedback based on the obtained user oral data. This interactive response feedback is fed back to smart terminal 620 through big data processing terminal 630, and smart terminal 620 then broadcasts it to user 610 using multimedia. This is not limited here.

[0034] In some embodiments of this disclosure, additionally, the large model in process 500 described above can be used to generate personalized evaluation feedback and / or incentive feedback for a single dental cleaning operation for the user, and through methods such as... Figure 2 The smart terminal 220 shown will broadcast the message; no specific restrictions are imposed here.

[0035] In some embodiments of this disclosure, Figure 7 A schematic diagram of the structure of an oral hygiene interactive system based on a large model is shown, such as... Figure 7 As shown, the oral cleaning interactive system 700 based on a large model may specifically include an intelligent cleaning planning unit 710, an intelligent cleaning adjustment unit 720, and an intelligent cleaning evaluation unit 730.

[0036] In some embodiments, such as Figure 7The intelligent cleaning planning unit shown can be used to determine the current oral cleaning plan based on the received oral cleaning planning request before the oral cleaning process begins, using a large model. The intelligent cleaning adjustment unit 720 can be used to dynamically adjust the current oral cleaning plan based on the collected oral cleaning data during the oral cleaning process, using a large model. The intelligent cleaning evaluation unit 730 can be used to determine the response result of the received oral cleaning evaluation request after the oral cleaning process is completed, based on the large model and historical oral cleaning conditions. It is understood that the functions of the intelligent cleaning planning unit 710 to the intelligent cleaning evaluation unit 730 can all be implemented with reference to the relevant process steps provided in the foregoing embodiments, and will not be repeated here.

[0037] Some embodiments of this disclosure also relate to an electronic device that can be used to implement various related steps or any combination of related steps in the large-model-based oral health interaction method provided in the foregoing embodiments, without limitation herein. Figure 8 A schematic diagram of the structure of an electronic device is shown, such as... Figure 8 As shown, the electronic device includes at least one processor 810 and a memory 820 communicatively connected to the at least one processor. The memory 820 stores instructions that can be executed by the at least one processor 810, which enables the at least one processor 810 to perform the various steps in the large-model-based oral health interaction method provided in the foregoing embodiments.

[0038] The memory 820 and processor 810 are connected via a bus, which can include any number of interconnecting buses and bridges, connecting various circuits of one or more processors 810 and memory 820 together. The bus can also connect various other circuits, such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 810 is transmitted over a wireless medium via an antenna, which further receives data and transmits it to the processor.

[0039] In some embodiments, the processor 810 may be responsible for managing the bus and general processing, and may also provide various functions, including generating the current oral cleaning plan, dynamically adjusting the current oral cleaning plan, and responding to user oral cleaning assessment requests, while the memory 820 may be used to store data used by the processor when performing operations, such as the user's historical oral cleaning data, etc., without limitation.

[0040] Some embodiments of this disclosure also relate to a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the various steps of the large-model-based oral health interaction method provided in the foregoing embodiments. In some embodiments, the computer-readable storage medium may include flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the computer-readable storage medium may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the computer-readable storage medium may also be an external storage device of a computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., provided on the computer device. Of course, the computer-readable storage medium may also include both internal storage units and external storage devices of a computer device. In this embodiment, the computer-readable storage medium is typically used to store the operating system and various application software installed on the computer device, such as the program code corresponding to the oral health interaction method based on a large model in this embodiment. Furthermore, the computer-readable storage medium can also be used to temporarily store various types of data that have been output or will be output.

[0041] Some embodiments of this disclosure also relate to a computer program product, including a computer program that, when executed by a processor, implements the large-model-based oral health interaction method provided in the foregoing embodiments.

[0042] In some embodiments, the computer program product may involve only a computer program, which may be carried on a storage medium or a processing device. In other embodiments, the computer program product may also be a storage medium or processing device containing the aforementioned computer program. The processing device may include one or more processors, and the storage medium. Those skilled in the art will understand that a program can instruct related hardware to implement all or part of the steps in the large-model-based oral health interaction method provided in the above embodiments. This program is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps in the large-model-based oral health interaction method provided in the various embodiments of this disclosure.

[0043] The basic concepts have been described above. It is obvious that the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, various modifications, improvements, and corrections may be made to this specification by those skilled in the art. Such modifications, improvements, and corrections are taught in this specification and therefore remain within the spirit and scope of the exemplary embodiments described herein.

Claims

1. A large-model-based oral health interaction method, characterized in that, Includes the following steps: Before the oral cleaning process begins, the oral cleaning plan is determined using a large model based on the received oral cleaning planning request. During the oral cleaning process, the oral cleaning plan is dynamically adjusted based on the collected oral cleaning data using the large model. After the oral cleaning process is completed, based on the received oral cleaning assessment request, the response result of the oral cleaning assessment request is determined through the large model and historical oral cleaning data.

2. The oral health interaction method based on a large model according to claim 1, characterized in that, It also includes the following steps: Based on the received oral health-related requests, determine whether there is a corresponding interactive response template for the requests: If so: Based on the interactive response template, call the user's oral hygiene data stored in the oral hygiene database to generate interactive response feedback corresponding to the oral hygiene-related needs; If not: Invoke the large model and generate the corresponding interactive response based on the oral hygiene prompts corresponding to the oral health needs.

3. The oral health interaction method based on a large model according to claim 2, characterized in that, The oral health-related needs include first user needs provided in text form, second user needs provided in a combination of text and images, and third user needs provided in a combination of text and video. If the oral health-related need is either the second user need or the third user need, the large model supporting multimodal analysis is invoked to generate the corresponding interactive response feedback.

4. The oral health interaction method based on a large model according to claim 2, characterized in that, The process of calling the large model and generating the corresponding interactive response feedback based on the oral hygiene prompts corresponding to the oral health needs includes: When the oral health-related needs are associated with the user's oral health condition, the user's oral health cleaning data stored in the oral health cleaning database is invoked to assist in generating the interactive response feedback.

5. The oral health interaction method based on a large model according to claim 1, characterized in that, The process of determining the oral hygiene plan for the current session using a large model includes the following steps: Based on the user's historical oral hygiene records and the oral hygiene planning request, the oral hygiene goals for the current session are determined. Based on the current oral cleaning goals and the historical oral cleaning data, a visual oral cleaning animation is generated and presented. The current oral cleaning plan includes the oral cleaning animation.

6. The oral health interaction method based on a large model according to claim 5, characterized in that, The process of dynamically adjusting the current oral cleaning plan based on the collected oral cleaning data through the large model includes the following steps; The oral cleaning animation is updated based on the collected oral cleaning data; Based on the images captured from the collected oral cleaning data, a large model is used to determine whether oral damage exists, and if oral damage is found, the control parameters of the dental cleaning device are remotely adjusted; and / or Provides warning information about oral injuries.

7. An oral hygiene interactive system based on a large model, characterized in that, include: The intelligent cleaning planning unit is used to determine the oral cleaning plan for the current oral cleaning session based on the received oral cleaning planning request and through a large model before the oral cleaning process begins. The intelligent cleaning adjustment unit is used to dynamically adjust the current oral cleaning plan based on the collected oral cleaning data through the large model during the oral cleaning process. The intelligent cleaning assessment unit is used to determine the response result of the oral cleaning assessment request based on the received oral cleaning assessment request, through the large model and historical oral cleaning information, after the oral cleaning process is completed.

8. An electronic device, characterized in that, include: At least one processor; and a memory communicatively connected to the at least one processor; The processor stores instructions that can be executed by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the large-model-based oral health interaction method as described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the oral health interaction method based on a large model as described in any one of claims 1 to 7.

10. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the large-model-based oral health interaction method as described in any one of claims 1 to 7.

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