Method for dynamically generating personal standard duration based on historical cleaning duration

Abstract

This invention discloses a method for dynamically generating a personal standard cleaning time based on historical cleaning time, relating to the field of electric toothbrush technology. The method includes: acquiring historical brushing data from multiple brushing sessions, the historical brushing data including the effective cleaning time for each oral cavity zone; determining the standard cleaning time for each oral cavity zone based on the historical brushing data, and determining a personal standard cleaning time based on the standard cleaning time for each zone; acquiring recent brushing data, updating the standard cleaning time for each oral cavity zone based on the recent brushing data, and updating the personal standard cleaning time based on the updated standard cleaning time for each zone. This invention utilizes recent data to dynamically calculate the average time for each zone to update the standard, accurately identifying and strengthening weak cleaning areas, blocking plaque biofilm accumulation, preventing the insidious progression of caries and periodontitis, and allowing users to perceive the cleaning time for each zone in real time, thus filling gaps in oral hygiene.

Description

Technical Field

[0001] This invention relates to the field of electric toothbrush technology, and more particularly to a method for dynamically generating a personal standard cleaning time based on historical cleaning duration. Background Technology

[0002] With increased awareness of oral health, electric toothbrushes have become widely used. The core goal of brushing teeth is to effectively remove plaque and biofilm from tooth surfaces to prevent cavities and periodontitis. Due to significant differences in the anatomy and self-cleaning abilities of different areas of the oral cavity, proper brushing should be tailored to different zones. However, most existing electric toothbrushes use a fixed total brushing time reminder system. While some products can identify oral cavity zones, they only record the time spent in each zone and do not use the data to build individualized cleaning standards. The fundamental flaw lies in the lack of a mechanism to dynamically adjust the standard brushing time for each oral cavity zone based on individual historical brushing data. This leads users to subconsciously allocate uneven brushing time, creating persistently exposed weak areas. Without quantitative analysis and proactive feedback on the brushing time for each zone, plaque and biofilm accumulate in these weak areas, becoming high-risk foci for the insidious progression of cavities and periodontitis. Users remain unaware of these oral hygiene vulnerabilities, failing to establish an effective self-management loop. Summary of the Invention

[0003] The main objective of this invention is to provide a method for dynamically generating a personal standard duration based on historical cleaning time. This method aims to solve the technical problem that existing brushing solutions lack a mechanism to dynamically adjust the standard duration of each oral cavity zone based on personal historical cleaning data. This results in long-term accumulation of dental plaque biofilm in weak cleaning areas, which becomes a high-risk lesion for the insidious progression of caries and periodontitis. Furthermore, users are unaware of their oral protection vulnerabilities because there is no feedback on the duration of each zone.

[0004] To achieve the above objectives, this invention proposes a method for dynamically generating a personal standard duration based on historical cleaning duration, the method comprising: Acquire historical brushing data from multiple brushing sessions of the user, including the effective cleaning time for each oral cavity area; Based on historical brushing data, the standard cleaning time for each oral cavity zone is determined, and the personal standard cleaning time is determined based on the standard cleaning time for each zone. It acquires recent brushing data, updates the standard cleaning time for each oral cavity area based on the recent brushing data, and updates the personal standard cleaning time based on the updated standard cleaning time for each area.

[0005] Furthermore, the standard cleaning time for each oral cavity zone is determined, and the individual standard cleaning time is determined based on the standard cleaning time for each zone, specifically including: The average effective cleaning time of each oral cavity zone is calculated within a preset statistical period, and the average effective cleaning time of each oral cavity zone is used as the standard cleaning time for that oral cavity zone. The sum of the standard cleaning times for each oral cavity zone is used as the individual standard cleaning time.

[0006] Furthermore, the methods also include: A personal standard cleaning time distribution model is constructed, which includes the personal standard cleaning time and the standard cleaning time for each oral cavity zone. The method for updating the standard cleaning time for each oral cavity region and updating the personal standard cleaning time based on the updated standard cleaning time for each region includes: recalculating the average effective cleaning time for each oral cavity region using recent brushing data, replacing the original standard cleaning time for each region in the personal standard cleaning time distribution model with the recalculated average effective cleaning time, and updating the personal standard cleaning time accordingly.

[0007] Furthermore, the toothbrush's posture information is obtained through the built-in posture sensor, and the toothbrush posture information is matched with the pre-stored oral cavity partition posture feature template. The oral cavity partition where the toothbrush is currently located is determined based on the matching result. The posture sensor includes a gyroscope and an accelerometer, and the toothbrush posture information includes the tilt angle, rotation direction, and spatial position change data of the brush head.

[0008] Furthermore, the oral cavity is divided into the left maxillary molar region, the maxillary anterior region, the right maxillary molar region, the left mandibular molar region, the mandibular anterior region, and the right mandibular molar region. The dwell conditions for the oral cavity region are: the duration of continuous dwell of the toothbrush in the same oral cavity region exceeds the preset minimum dwell time threshold, and the change in toothbrush posture information during the continuous dwell period is less than the preset posture change threshold.

[0009] Furthermore, the preset statistical period includes multiple brushing records completed by the user within a preset time period; the preset time period is a specified range of days in which the user has used the toothbrush continuously recently, or a specified range of brushing times recently accumulated by the user.

[0010] Furthermore, the method also includes handling abnormal situations: comparing the user's current actual total brushing time with the personal standard cleaning time; if the actual total brushing time is lower than the preset abnormal proportion threshold of the personal standard cleaning time, then the brushing is determined to be an abnormal brushing event; when the cumulative number of abnormal brushing events within the preset monitoring period reaches the preset number threshold, a standard time adjustment query message is output; when an abnormal brushing event occurs once within the preset monitoring period, a brushing attention reminder message is output.

[0011] Furthermore, the methods also include: During the user's brushing process, the total effective cleaning time completed in the current brushing process is accumulated in real time, and the progress of the total effective cleaning time relative to the individual's standard cleaning time is calculated. When the progress reaches the first preset threshold, the first prompt message is output to remind the user that the current brushing process is about to be completed; When the progress reaches the second preset threshold, a second prompt message is output to remind the user that the current brushing process has reached the personal standard cleaning time.

[0012] The present invention also proposes an electric toothbrush, comprising: Brush handle and brush head; An attitude sensor installed inside the brush handle is used to acquire toothbrush attitude information in real time and determine the current oral cavity zone where the toothbrush is located. A pressure sensor is installed inside the brush handle to obtain the pressure value when the brush head contacts the teeth; The processor and memory, the memory storing the computer program, the processor executing the computer program to implement a method for dynamically generating a personal standard duration based on historical cleanup duration.

[0013] The present invention also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a method for dynamically generating a personal standard duration based on historical cleanup duration.

[0014] This invention identifies six oral cavity zones using a posture sensor and determines the effective cleaning time by combining brush head pressure and posture change thresholds. Based on the user's historical brushing data, it calculates the average effective cleaning time for each zone, generates a personal standard cleaning time, and builds a model. It then uses recent data to dynamically calculate the average time for each zone to update the standard, accurately identifying and strengthening weak cleaning areas, blocking the accumulation of dental plaque biofilm, preventing the insidious progression of caries and periodontitis, and allowing users to perceive the cleaning time of each zone in real time, thus filling gaps in oral protection. Attached Figure Description

[0015] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the method for dynamically generating personal standard duration based on historical cleaning duration according to the present invention.

[0018] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of the present invention and are not intended to limit the present invention.

[0020] To better understand the technical solution of the present invention, a detailed description will be provided below in conjunction with the accompanying drawings and specific embodiments.

[0021] like Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for dynamically generating individual standard durations based on historical cleaning times.

[0022] A method for dynamically generating personal standard duration based on historical cleaning duration, characterized in that the method includes: S10: Obtain the user's historical brushing data from multiple brushing sessions. The historical brushing data includes the effective cleaning time for each oral cavity area. S20 determines the standard cleaning time for each oral cavity zone based on historical brushing data, and determines the personal standard cleaning time based on the standard cleaning time for each zone. S30 retrieves recent brushing data, updates the standard cleaning time for each oral cavity zone based on the recent brushing data, and updates the personal standard cleaning time based on the updated standard cleaning time for each zone.

[0023] This embodiment is based on an electric toothbrush with sensor-interactive capabilities. The data acquisition process begins when the user holds the handle and inserts the brush head into their mouth for cleaning. The toothbrush's built-in posture sensor outputs posture data in real time at a preset frequency, while the pressure sensor detects the contact pressure applied by the brush head to the tooth surface in real time. After receiving this data, the processor determines the current oral cavity area where the brush head is working: it compares the real-time acquired brush head tilt angle and spatial position change data with a pre-stored six-zone oral posture feature template to determine the current oral cavity zone. Simultaneously, the processor performs a strict "effective cleaning" determination. Only when the continuous dwell time in the zone exceeds a preset minimum dwell time threshold, the posture change amplitude is less than a preset posture change threshold, and the pressure value is within the effective cleaning window, is the time period counted as the "effective cleaning time" for the corresponding zone. This historical brushing data is stored sequentially in the memory, providing a data foundation for the subsequent generation and updating of personal standards.

[0024] Furthermore, the standard cleaning time for each oral cavity zone is determined, and the individual standard cleaning time is determined based on the standard cleaning time for each zone, specifically including: The average effective cleaning time of each oral cavity zone is calculated within a preset statistical period, and the average effective cleaning time of each oral cavity zone is used as the standard cleaning time for that oral cavity zone. The sum of the standard cleaning times for each oral cavity zone is used as the individual standard cleaning time.

[0025] In this embodiment, once a user's toothbrush usage accumulates to a preset statistical period, the system initiates the initial modeling of the individual standard. In this embodiment, the preset statistical period is set to the user's most recent 7 consecutive days of toothbrush use, or 14 accumulated effective brushing records. The processor retrieves all historical brushing data from memory within this period and independently calculates the "average effective cleaning time" for each oral cavity region. For example, if User A's effective cleaning time for the maxillary anterior teeth region over 7 days is 8s, 6s, 7s, 9s, 5s, 7s, and 7s respectively, then the standard cleaning time for this user's maxillary anterior teeth region is 7 seconds. The system calculates the standard cleaning time for all six oral cavity regions using this method. Subsequently, the six values ​​are summed, and the total is User A's "individual standard cleaning time." This process creates a brushing time standard perfectly suited to different individuals, providing a quantitative basis for subsequent precise guidance and addressing protective loopholes.

[0026] Furthermore, the methods also include: A personal standard cleaning time distribution model is constructed, which includes the personal standard cleaning time and the standard cleaning time for each oral cavity zone. The method for updating the standard cleaning time for each oral cavity region and updating the personal standard cleaning time based on the updated standard cleaning time for each region includes: recalculating the average effective cleaning time for each oral cavity region using recent brushing data, replacing the original standard cleaning time for each region in the personal standard cleaning time distribution model with the recalculated average effective cleaning time, and updating the personal standard cleaning time accordingly.

[0027] In this embodiment, after completing the initial modeling, the electric toothbrush system constructs a "personal standard cleaning time distribution model" for user A in its memory. This model structurally stores the total cleaning time and the standard cleaning time corresponding to each zone. Since the user's oral health and brushing habits are dynamic, the standard must be updated adaptively. The system designs a sliding time window to continuously acquire the user's brushing data from the past 7 days as "recent brushing data." Once a new 7-day data set is accumulated, the processor uses this new data to again average the effective cleaning time for each of the six oral cavity zones. Then, this newly calculated average effective cleaning time replaces the corresponding old standard cleaning time for each zone in the model, and simultaneously sums the six new standard cleaning times again to update the "personal standard cleaning time" in the model. For example, if user A uses the toothbrush consistently for a week, the average cleaning time for their maxillary molars naturally increases from 5 seconds to 8 seconds. The model will then raise the standard from 5 seconds to 8 seconds, and the total cleaning time will also increase accordingly. This closed-loop, self-evolving mechanism allows the cleaning guidelines to dynamically adjust to changes in user habits, preventing plaque from forming new accumulation points due to the lag in habit changes.

[0028] Furthermore, the toothbrush's posture information is obtained through the built-in posture sensor, and the toothbrush posture information is matched with the pre-stored oral cavity partition posture feature template. The oral cavity partition where the toothbrush is currently located is determined based on the matching result. The posture sensor includes a gyroscope and an accelerometer, and the toothbrush posture information includes the tilt angle, rotation direction, and spatial position change data of the brush head.

[0029] In this embodiment, the attitude sensor integrates a six-axis gyroscope and an accelerometer, outputting data in real time at a preset 50Hz frequency. After being processed by an attitude fusion algorithm, it forms the three-dimensional spatial attitude information of the brush head, including its tilt angle, rotational angular velocity changes, and spatial position movement trajectory. A six-zone oral cavity attitude feature template is pre-stored in the memory. The processor compares the real-time attitude data with the six-zone template to determine the current oral cavity zone. Through this sensor solution, the toothbrush can acquire the user's specific brushing actions and pressure within the oral cavity, transforming subjective brushing behavior into quantifiable objective data. This is the hardware foundation for overcoming the inability of traditional brushing solutions to perceive zoning limitations.

[0030] Furthermore, the oral cavity is divided into the left maxillary molar region, the maxillary anterior region, the right maxillary molar region, the left mandibular molar region, the mandibular anterior region, and the right mandibular molar region. The dwell conditions for the oral cavity region are: the duration of continuous dwell of the toothbrush in the same oral cavity region exceeds the preset minimum dwell time threshold, and the change in toothbrush posture information during the continuous dwell period is less than the preset posture change threshold.

[0031] In this embodiment, six oral cavity zones correspond to a six-zone template. To avoid invalid data generated by users quickly and unconsciously brushing across the tooth surface, this invention sets strict "effective dwell" determination conditions. The system only includes a time period in the "effective cleaning duration" of the corresponding zone when both of the following conditions are met simultaneously: First, the duration of continuous dwell of the toothbrush within the same oral cavity zone exceeds a preset minimum dwell time threshold, such as 0.5 seconds; second, during this continuous dwell period, the amplitude of toothbrush posture changes (such as the standard deviation of the angle change rate) is less than a preset posture change threshold. This determination, combined with the effective window of the pressure dimension, forms a "triple determination," accurately separating real and effective cleaning behavior from the user's unconscious random movements. This fundamentally solves the problem of traditional timed toothbrushes, where even empty brushing or random brushing can accumulate enough time, leading to the continuous accumulation of plaque in weak areas.

[0032] Furthermore, the preset statistical period includes multiple brushing records completed by the user within a preset time period; the preset time period is a specified range of days in which the user has used the toothbrush continuously recently, or a specified range of brushing times recently accumulated by the user.

[0033] In this embodiment, the preset statistical period can be flexibly configured to adapt to differences in user usage frequency. This embodiment supports two triggering conditions: one is a time dimension, set to the user's most recent 7 consecutive days of toothbrush use; the other is a frequency dimension, set to the user's most recent cumulative 14 valid brushing records. When either condition is met, the system initiates modeling or update calculations. This design is compatible with the different habits of high-frequency and low-frequency users, ensuring sufficient data sample size and making the generated partition standard duration statistically meaningful.

[0034] Furthermore, the method also includes handling abnormal situations: comparing the user's current actual total brushing time with the personal standard cleaning time; if the actual total brushing time is lower than the preset abnormal proportion threshold of the personal standard cleaning time, then the brushing is determined to be an abnormal brushing event; when the cumulative number of abnormal brushing events within the preset monitoring period reaches the preset number threshold, a standard time adjustment query message is output; when an abnormal brushing event occurs once within the preset monitoring period, a brushing attention reminder message is output.

[0035] In this embodiment, the present invention can not only provide positive guidance but also detect sudden deterioration in brushing behavior. After each brushing session, the system compares the "actual total brushing time" with the "personal standard cleaning time" of the current model. If the actual time is lower than the preset abnormal proportion threshold of the standard time, such as below 50%, it is determined as an "abnormal brushing event". The system responds differently to this: if the abnormal event is a single occurrence within a preset monitoring period (such as one week), the system will push a "brushing reminder message" when the toothbrush is connected to the mobile APP, such as "It was detected that your brushing time this morning was too short. Please pay attention to maintaining thorough cleaning." If the cumulative number of abnormal brushing events reaches a preset threshold within the monitoring period, such as 3 times, the system judges that the user's brushing habits may have deteriorated overall. At this time, a more serious "standard time adjustment inquiry message" will be output, such as a pop-up window in the APP interface: "Your brushing time has been significantly shortened many times recently. Do you need to appropriately lower your cleaning goals so that you can more easily stick to them? [Yes / No]". This technical feature enables the system to have a "bottom-line protection" capability, which can keenly detect users' unconscious regression and intervene in a tiered manner to prevent users from unknowingly sliding back to the original state of oral protection vulnerabilities.

[0036] Furthermore, the methods also include: During the user's brushing process, the total effective cleaning time completed in the current brushing process is accumulated in real time, and the progress of the total effective cleaning time relative to the individual's standard cleaning time is calculated. When the progress reaches the first preset threshold, the first prompt message is output to remind the user that the current brushing process is about to be completed; When the progress reaches the second preset threshold, a second prompt message is output to remind the user that the current brushing process has reached the personal standard cleaning time.

[0037] In this embodiment, after completing the personal standard modeling, the system immediately initiates dynamic guidance the next time the user brushes their teeth. The processor continuously accumulates the "total effective cleaning time" completed during the current brushing session and retrieves the "personal standard cleaning time" from memory, constantly calculating the current progress percentage. When the progress reaches a first preset threshold, such as 90%, the vibration motor or buzzer inside the brush handle outputs a brief, gentle vibration or a notification sound to inform the user that "cleaning is about to be completed." When the progress reaches a second preset threshold, such as 100%, a long vibration or a different notification sound is output to inform the user that "the personal standard cleaning time has been reached," at which point the user can decide whether to stop brushing. This personalized progress feedback transforms cold historical analysis results into warm, "coach-like" companionship, giving users a clear expectation and perception of cleaning time and ensuring that actions to address oral hygiene gaps are implemented in every brushing operation.

[0038] The present invention also proposes an electric toothbrush, comprising: Brush handle and brush head; An attitude sensor installed inside the brush handle is used to acquire toothbrush attitude information in real time and determine the current oral cavity zone where the toothbrush is located. A pressure sensor is installed inside the brush handle to obtain the pressure value when the brush head contacts the teeth; The processor and memory, the memory storing the computer program, the processor executing the computer program to implement a method for dynamically generating a personal standard duration based on historical cleanup duration.

[0039] All the above methods and steps are implemented using the electric toothbrush in this embodiment. The processor executes the computer program stored in the memory, uniformly scheduling the posture sensor for zone recognition and the pressure sensor for effectiveness filtering, completing the entire process of data acquisition, model building, real-time guidance, dynamic updates, and anomaly handling. Among them, the collaborative work of the posture sensor and the pressure sensor provides hardware-level decision-making basis for the accurate measurement of "effective cleaning time," which is the physical foundation for realizing all upper-level personalized guidance functions.

[0040] The present invention also proposes a computer-readable storage medium storing a computer program thereon, characterized in that the computer program, when executed by a processor, implements a method for dynamically generating a personal standard duration based on historical cleaning duration.

[0041] The computer program can be embedded not only in the processor firmware of the toothbrush itself, but also stored in computer-readable storage media such as mobile apps and cloud servers. When the toothbrush connects to a smart terminal via Bluetooth or other communication methods, computationally intensive tasks such as in-depth statistical analysis of historical data and the construction and updating of personal standard duration distribution models can be performed by the smart terminal or the cloud, and the calculation results are then sent back to the toothbrush for real-time guidance. This distributed computing architecture achieves an effective balance between toothbrush hardware performance and complex algorithms.

[0042] This invention identifies six oral cavity zones using a posture sensor and determines the effective cleaning time by combining brush head pressure and posture change thresholds. Based on the user's historical brushing data, it calculates the average effective cleaning time for each zone, generates a personal standard cleaning time, and builds a model. It then uses recent data to dynamically calculate the average time for each zone to update the standard, accurately identifying and strengthening weak cleaning areas, blocking the accumulation of dental plaque biofilm, preventing the insidious progression of caries and periodontitis, and allowing users to perceive the cleaning time of each zone in real time, thus filling gaps in oral protection.

[0043] The above are only some embodiments of the present invention and do not limit the patent scope of the present invention. All equivalent structural transformations made under the technical concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A method for dynamically generating a personal standard duration based on historical cleaning duration, characterized in that, The method includes: Acquire historical brushing data of the user's multiple brushing sessions, including the effective cleaning time of each oral cavity zone; Based on the historical brushing data, the standard cleaning time for each oral cavity zone is determined, and the personal standard cleaning time is determined according to the standard cleaning time for each zone. Acquire recent brushing data, update the standard duration of each oral cavity zone based on the recent brushing data, and update the personal standard cleaning duration based on the updated standard duration of the zones.

2. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 1, characterized in that, The process of determining the standard cleaning time for each oral cavity zone and determining the individual standard cleaning time based on the standard cleaning time for each zone specifically includes: The average effective cleaning time of each oral cavity zone is calculated within a preset statistical period, and the average effective cleaning time of each oral cavity zone is used as the standard cleaning time for that oral cavity zone. The sum of the standard cleaning times for each oral cavity zone is used as the individual standard cleaning time.

3. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 2, characterized in that, The method further includes: A personal standard cleaning time distribution model is constructed, which includes the personal standard cleaning time and the standard cleaning time for each oral cavity zone; The method of updating the standard cleaning time of each oral cavity zone and updating the personal standard cleaning time based on the updated standard cleaning time of the zone includes: recalculating the average effective cleaning time of each oral cavity zone using the recent brushing data, replacing the original standard cleaning time of the zone corresponding to the personal standard cleaning time distribution model with the recalculated average effective cleaning time, and synchronously updating the personal standard cleaning time therein.

4. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 1, characterized in that, The toothbrush acquires its posture information using a built-in posture sensor, and matches this information with pre-stored oral cavity partition posture feature templates. Based on the matching results, the toothbrush is determined to be currently positioned in the oral cavity partition. The posture sensor includes a gyroscope and an accelerometer, and the toothbrush posture information includes the brush head's tilt angle, rotation direction, and spatial position change data.

5. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 4, characterized in that, The oral cavity zones include the left maxillary molar zone, the maxillary anterior zone, the right maxillary molar zone, the left mandibular molar zone, the mandibular anterior zone, and the right mandibular molar zone. The dwell conditions for the oral cavity zones are as follows: the duration of continuous dwell of the toothbrush in the same oral cavity zone exceeds a preset minimum dwell time threshold, and the change in the toothbrush posture information during the continuous dwell period is less than a preset posture change threshold.

6. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 2, characterized in that, The preset statistical period includes multiple brushing records completed by the user within a preset time period; the preset time period is a specified range of days in which the user has used the toothbrush continuously recently, or a specified range of brushing times recently accumulated by the user.

7. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 1, characterized in that, The method also includes handling abnormal situations: comparing the user's current total brushing time with the personal standard cleaning time; if the total brushing time is lower than a preset abnormal proportion threshold of the personal standard cleaning time, then the brushing is determined to be an abnormal brushing event; when the cumulative number of abnormal brushing events within a preset monitoring period reaches a preset number threshold, a standard time adjustment query is output; when an abnormal brushing event occurs only once within a preset monitoring period, a brushing attention reminder is output.

8. The method for dynamically generating personal standard duration based on historical cleaning duration according to claim 7, characterized in that, The method further includes: During the user's brushing process, the total effective cleaning time completed in the current brushing process is accumulated in real time, and the progress of the total effective cleaning time relative to the personal standard cleaning time is calculated. When the progress reaches the first preset threshold, the first prompt message is output to remind the user that the current brushing process is about to be completed. When the progress reaches the second preset threshold, a second prompt message is output to remind the user that the current brushing process has reached the personal standard cleaning time.

9. An electric toothbrush, characterized in that, include: Brush handle and brush head; An attitude sensor installed inside the brush handle is used to acquire toothbrush attitude information in real time and determine the current oral cavity zone where the toothbrush is located. A pressure sensor installed inside the brush handle is used to acquire the pressure value when the brush head contacts the teeth; A processor and a memory, the memory storing a computer program, the processor executing the computer program to implement the method for dynamically generating personal standard durations based on historical cleaning durations as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for dynamically generating personal standard durations based on historical cleaning durations as described in any one of claims 1 to 7.

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