WO2019196646A1 - 基于人工智能的刷牙推荐方法、装置、设备及存储介质 - Google Patents

基于人工智能的刷牙推荐方法、装置、设备及存储介质 Download PDF

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Publication number
WO2019196646A1
WO2019196646A1 PCT/CN2019/079759 CN2019079759W WO2019196646A1 WO 2019196646 A1 WO2019196646 A1 WO 2019196646A1 CN 2019079759 W CN2019079759 W CN 2019079759W WO 2019196646 A1 WO2019196646 A1 WO 2019196646A1
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WIPO (PCT)
Prior art keywords
brushing
condition
data
scheme
brush head
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PCT/CN2019/079759
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English (en)
French (fr)
Inventor
黄拔梓
黄道臣
Original Assignee
深圳市力博得科技有限公司
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Application filed by 深圳市力博得科技有限公司 filed Critical 深圳市力博得科技有限公司
Priority to EP19784503.5A priority Critical patent/EP3777764A4/en
Priority to JP2020555775A priority patent/JP7105318B2/ja
Publication of WO2019196646A1 publication Critical patent/WO2019196646A1/zh
Priority to US17/068,850 priority patent/US20210056469A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C17/00—Devices for cleaning, polishing, rinsing or drying teeth, teeth cavities or prostheses; Saliva removers; Dental appliances for receiving spittle
    • A61C17/16—Power-driven cleaning or polishing devices
    • A61C17/22—Power-driven cleaning or polishing devices with brushes, cushions, cups, or the like
    • A61C17/221—Control arrangements therefor
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B15/00—Other brushes; Brushes with additional arrangements
    • A46B15/0002—Arrangements for enhancing monitoring or controlling the brushing process
    • A46B15/0004—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means
    • A46B15/0006—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means with a controlling brush technique device, e.g. stroke movement measuring device
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B15/00—Other brushes; Brushes with additional arrangements
    • A46B15/0002—Arrangements for enhancing monitoring or controlling the brushing process
    • A46B15/0004—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means
    • A46B15/0008—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means with means for controlling duration, e.g. time of brushing
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C17/00—Devices for cleaning, polishing, rinsing or drying teeth, teeth cavities or prostheses; Saliva removers; Dental appliances for receiving spittle
    • A61C17/16—Power-driven cleaning or polishing devices
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C17/00—Devices for cleaning, polishing, rinsing or drying teeth, teeth cavities or prostheses; Saliva removers; Dental appliances for receiving spittle
    • A61C17/16—Power-driven cleaning or polishing devices
    • A61C17/22—Power-driven cleaning or polishing devices with brushes, cushions, cups, or the like
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C19/00—Gyroscopes; Turn-sensitive devices using vibrating masses; Turn-sensitive devices without moving masses; Measuring angular rate using gyroscopic effects
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • G01P15/18—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • H04B5/77—
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B15/00—Other brushes; Brushes with additional arrangements
    • A46B15/0002—Arrangements for enhancing monitoring or controlling the brushing process
    • A46B15/0004—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means
    • A46B15/001—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means with means indicating the remaining useful life of brush
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B15/00—Other brushes; Brushes with additional arrangements
    • A46B15/0002—Arrangements for enhancing monitoring or controlling the brushing process
    • A46B15/0004—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means
    • A46B15/0012—Arrangements for enhancing monitoring or controlling the brushing process with a controlling means with a pressure controlling device
    • A—HUMAN NECESSITIES
    • A46—BRUSHWARE
    • A46B—BRUSHES
    • A46B2200/00—Brushes characterized by their functions, uses or applications
    • A46B2200/10—For human or animal care
    • A46B2200/1066—Toothbrush for cleaning the teeth or dentures

Definitions

  • the present invention relates to the field of smart toothbrush technology, and in particular, to a method, a recommendation device, a recommendation device, and a storage medium for brushing teeth based on artificial intelligence.
  • Brushing is an important means of removing plaque, soft dirt and food residue using a toothbrush to keep the mouth clean and prevent periodontal disease.
  • people often do not see the brushing situation, and can not obtain accurate brushing data, so that it is impossible to correctly judge the standardization of their brushing action, resulting in insufficient oral cleanliness, which causes many oral diseases.
  • the embodiment of the invention provides a brushing recommendation method, a recommendation device, a recommendation device and a storage medium based on artificial intelligence, and can recommend a corresponding brushing scheme according to the user's brushing data and the brush head data of the smart toothbrush to dynamically adjust the intelligence.
  • the brushing solution in the toothbrush meets the needs of different users for brushing and improves the applicability of the smart toothbrush.
  • a method for recommending brushing based on artificial intelligence including:
  • the brushing data is analyzed, and the brushing condition of each brushing surface is statistically obtained, wherein the brushing condition includes a brushing duration, a brushing force, a brushing range, and a horizontal brushing condition;
  • a recommended first brushing scheme is formed according to the brushing duration, the brushing force, the brushing amplitude, the cross brush condition, and the brush head condition.
  • the data detecting device includes an attitude sensor, a pressure sensor, an NFC tag, and a tag reading and writing device;
  • the brushing data and the brush head data detected by the data detecting device in the smart toothbrush are obtained, including:
  • the method for recommending brushing further includes:
  • the initial brushing scheme When the initial brushing scheme is accepted, the initial brushing scheme is pushed to the smart toothbrush for adjustment of the brushing parameters;
  • the user reselected or customized second brushing protocol is pushed to the smart toothbrush for adjustment of the brushing parameters.
  • the brushing data includes a triaxial acceleration output by the triaxial acceleration sensor and a triaxial angular velocity of the triaxial gyroscope output;
  • the brushing data is analyzed, including:
  • a corresponding brushing surface of each of the brushing positions in the tooth segment is determined according to the rolling angle.
  • duration of brushing of each brushing surface is statistically obtained, including:
  • the brushing duration of each brushing surface is obtained by subtracting the total brushing duration from the total brushing duration.
  • the forming a recommended first brushing solution according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brush condition, and the brush head condition specifically includes:
  • a recommended first brushing scheme is formed based on the condition of the teeth of each of the brushing faces and the condition of the head.
  • the method comprises:
  • the first brushing protocol When the first brushing protocol is accepted, the first brushing protocol is pushed to the smart toothbrush for adjustment of the brushing parameters.
  • a second aspect of the embodiments of the present invention provides a brushing recommendation device based on artificial intelligence, including:
  • a data acquisition module configured to acquire brushing data and brush head data detected by the data detecting device in the smart toothbrush
  • a brushing data analysis module configured to analyze the brushing data, and obtain a brushing condition of each brushing surface, wherein the brushing condition includes a brushing duration, a brushing force, a brushing amplitude, and a horizontal brushing condition;
  • a brush head data analysis module configured to analyze the brush head data to obtain a brush head condition of the smart toothbrush
  • the brushing solution recommendation module is configured to form a recommended first brushing scheme according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brush condition, and the brush head condition.
  • a third aspect of the embodiments of the present invention provides an artificial intelligence based brushing recommendation device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor.
  • the steps of the artificial intelligence based brushing recommendation method as described in the first aspect above are implemented when the computer program is executed.
  • a computer readable storage medium storing a computer program, when executed by a processor, is implemented based on the manual as described in the foregoing first aspect The steps to recommend a smart brushing method.
  • the brushing data and the brush head data detected by the data detecting device in the smart toothbrush are acquired; secondly, the brushing data is analyzed, and the brushing duration, brushing strength, and brushing range of each brushing surface are statistically obtained. And brushing the data, and analyzing the brush head data to obtain a brush head condition of the smart toothbrush; and then, according to the brushing duration, the brushing force, the brushing range, the horizontal brush condition, and The brush head condition forms the recommended first brushing scheme.
  • the brushing data and the brush head data during the brushing process of the user are collected, and the brushing data and the brush head data are analyzed to form a brushing scheme suitable for the user to the user, so as to implement the smart toothbrush.
  • FIG. 1 is a flowchart of a method for recommending a brushing method based on artificial intelligence according to Embodiment 1 of the present invention
  • FIG. 2 is a schematic flowchart of determining a brushing surface in an application scenario according to an artificial intelligence-based brushing recommendation method according to Embodiment 1 of the present invention
  • FIG. 3 is a schematic flowchart of determining an initial brushing scheme in an application scenario according to an artificial intelligence-based brushing recommendation method according to Embodiment 1 of the present invention
  • FIG. 4 is a schematic structural diagram of a device for recommending brushing based on artificial intelligence according to Embodiment 2 of the present invention.
  • FIG. 5 is a schematic diagram of a brushing recommendation device based on artificial intelligence according to Embodiment 3 of the present invention.
  • the embodiment of the invention provides a brushing recommendation method, a recommendation device, a recommendation device and a storage medium based on artificial intelligence, and is used for recommending a corresponding brushing scheme according to the user's brushing data and the brush head data of the smart toothbrush to dynamically adjust Brushing solutions in smart toothbrushes to meet the needs of different users for brushing and improve the applicability of smart toothbrushes.
  • the first embodiment of the present invention provides a method for recommending brushing based on artificial intelligence, and the method for recommending brushing includes:
  • Step S101 Acquire brushing data and brush head data detected by the data detecting device in the smart toothbrush.
  • the data detecting device includes an attitude sensor, a pressure sensor, an NFC tag, and a tag reading and writing device. Therefore, acquiring the brushing data and the brush head data detected by the data detecting device in the smart toothbrush specifically includes: acquiring first brushing data output by the posture sensor, second brushing data output by the pressure sensor, and reading by the label The head data collected by the NFC tag read by the writing device.
  • the smart toothbrush is provided with an attitude sensor, a pressure sensor, an NFC tag, and a tag reading and writing device, and the posture sensor can be used to detect various brushing data when the user performs the brushing action using the smart toothbrush, as described.
  • the smart toothbrush is provided with a three-axis acceleration sensor, and the three-axis acceleration sensor can detect the acceleration of the smart toothbrush in the three axial directions of X, Y, and Z when performing the brushing action; for example, the smart toothbrush can also be provided with three axes.
  • the gyroscope can detect the angular velocity of the smart toothbrush in the three axial directions of X, Y, and Z when performing the brushing action; the pressure sensor can be used to detect the pressure of each brushing surface when the user performs the brushing action.
  • the smart toothbrush has an NFC tag inside the brush head, which can be used to detect the number of days of use of the brush head, and the smart toothbrush is also provided with a tag reading and writing device to read the data of the number of days of brush head detected by the NFC tag, according to Use the number of days to determine the condition of the brush head.
  • Step S102 analyzing the brushing data, and statistically obtaining a brushing condition of each brushing surface, wherein the brushing condition includes a brushing duration, a brushing force, a brushing amplitude, and a horizontal brushing condition.
  • the brushing data includes a triaxial acceleration output by the triaxial acceleration sensor and a triaxial angular velocity output by the triaxial gyroscope;
  • the brushing data is analyzed, including:
  • Step S201 performing fusion processing on the triaxial acceleration and the triaxial angular velocity to obtain a rolling angle, a pitch angle, and a heading angle of the smart toothbrush at each brushing position;
  • Step S202 determining, according to the rolling angle, the pitch angle, and the heading angle, the tooth partition corresponding to each brushing position in the preset tooth partition, wherein the preset tooth partition refers to the tooth pre-divided according to the distribution of all the teeth. region;
  • Step S203 Determine, according to the rolling angle, a corresponding brushing surface of each brushing position in the tooth segment.
  • step S201 after acquiring the three-axis acceleration outputted by the three-axis acceleration sensor and the three-axis angular velocity output by the three-axis gyroscope, Kalman filtering processing is performed on the three-axis acceleration and the three-axis angular velocity, and the filtering process is performed.
  • the rear triaxial acceleration and the triaxial angular velocity are subjected to Madgwick attitude fusion processing, thereby obtaining three posture data of the rolling angle Roll, the pitch angle Pitch and the heading angle Yaw of the smart toothbrush at the current brushing position.
  • a three-axis geomagnetic sensor may be disposed in the smart toothbrush for correcting data drift detected by the three-axis acceleration sensor and the three-axis gyroscope.
  • the predetermined tooth segment refers to a tooth region that is pre-divided according to the distribution of all the teeth in the human mouth. For example, 32 teeth in an adult can be divided into a maxillary left region and a maxillary region.
  • the maxillary right region, the mandibular left region, the mandibular middle region, and the mandibular right region have six tooth segments, wherein the maxillary left region includes a first premolar, a second premolar, a first molar, a second molar, and a third molar on the left side of the upper jaw.
  • the middle region of the upper jaw includes two canines of the upper jaw, two incisors, two incisors, and the right upper region includes the first premolar, the second premolar, the first molar, the second molar, the third molar, and the lower jaw of the upper right side of the upper jaw.
  • the left region includes a first premolar, a second premolar, a first molar, a second molar, and a third molar on the left side of the lower jaw.
  • the middle region of the lower jaw includes two canines of the lower jaw, two incisors, two incisors, and a right lower region.
  • the first premolar, the second premolar, the first molar, the second molar, and the third molar are included on the right side of the lower jaw.
  • the outer side surface, the inner side surface, the occlusal surface, and the middle region of the upper jaw and the middle region of the lower jaw include the outer side surface and the inner side surface, and the six teeth can be
  • the partition is further divided into 16 brushing surfaces.
  • steps S202 and S203 it is mainly determined according to the rolling angle Roll and the heading angle Yaw which region of the six tooth segments the current brushing position is in, for example, whether it is in the upper left region or in the middle region of the lower jaw, or Is in the upper right area and so on.
  • the brushing area of the current brushing position After determining the brushing area of the current brushing position, according to the rolling angle Roll, it is further determined which tooth surface of the current brushing position is in the brushing area. If the current brushing position is first determined as the upper left area, the current brushing position is further determined. Is the outer side, inner side or occlusal surface of the left upper left region.
  • the pitch angle Pitch can also be used to assist in judging the tooth area where the current brushing position is located and the brushing surface.
  • the three-axis acceleration sensor can be set in the smart toothbrush to obtain the three according to the three-axis acceleration sensor.
  • the axial acceleration obtains the rolling angle and the tilting angle when the smart toothbrush performs the brushing action, thereby determining the corresponding brushing surface of the current brushing position in the brushing area according to the brushing area and the corresponding rolling angle and the tilting angle in the current real-time guiding process.
  • the initial tooth partition can be customized by the user during use.
  • the left and right hand brushing people can be automatically recognized by comparing the heading angle Yaw of the current brushing area with the heading angle Yaw of the previous brushing area, and the three-axis acceleration sensor and the three-axis gyroscope or the three-axis acceleration are adopted.
  • Sensors, three-axis gyroscopes and three-axis geomagnetic sensors for brushing data collection can avoid the impact of different hand brushing on brushing data collection, thus ensuring the accuracy and effectiveness of data collection.
  • the statistics obtain the brushing condition of each brushing surface, including: statistically obtaining the brushing duration of each brushing surface, statistically obtaining the brushing force of each brushing surface, and statistically obtaining the brushing of each brushing surface.
  • the amplitude and statistics give the cross brush of each brush surface.
  • the statistics of the brushing duration of each brushing surface include: step a: counting the total brushing duration of the smart toothbrush performing the brushing action on each brushing surface; step b, obtaining the performing on each brushing surface During the brushing operation, the pitch angle of the smart toothbrush is greater than the wrong brushing time of the preset pitch angle; step c, subtracting the total brushing duration from the total brushing duration to obtain the brushing duration of each brushing surface.
  • the brushing duration refers to the effective brushing duration of the user's brushing action.
  • the total brushing time of the user performing the brushing action on the current brushing surface by using the smart toothbrush is recorded, and the real brushing is performed in the current brushing surface.
  • the pitch angle Pitch of the smart toothbrush is such that when the detected pitch angle Pitch is greater than the preset pitch angle, if the preset pitch angle is assumed to be 70, when the pitch angle Pitch of the smart toothbrush is greater than 70, the time is considered
  • the smart toothbrush is in an erroneous brushing state close to an upright state, and records the wrong brushing duration of the wrong brushing state, and finally subtracts the wrong brushing duration from the total brushing duration to obtain the brushing duration of the current brushing surface.
  • the pressure sensor in the smart toothbrush can be used to detect the pressure received by each brush surface in the process of brushing the teeth in real time, so as to count each brush surface according to the detected pressure. Brushing strength.
  • the brushing amplitude of each brushing surface is statistically obtained, including: step d, calculating, according to the acceleration of the X-axis in the current brushing surface output by the three-axis acceleration sensor, the current brushing surface The acceleration variance of the smart toothbrush is described; step e, determining the brushing amplitude of the current brushing surface according to the acceleration variance.
  • the preset correspondence relationship between the acceleration variance and the brushing amplitude may be set in advance.
  • the acceleration variance of the X-axis acceleration outputted by the three-axis acceleration sensor of the smart toothbrush in the current brushing surface is calculated in real time, and after the acceleration variance is obtained, according to the acceleration variance and the brushing amplitude
  • the preset correspondence relationship is used to count the brushing range of the current brushing surface.
  • the cross-brushing condition of each brushing surface is statistically obtained, and specifically includes: step f, calculating the smart toothbrush in the current brushing surface according to the acceleration of the X-axis in the current brushing surface output by the triaxial acceleration sensor a swing amplitude and a swing frequency; step g, determining the current when the swing amplitude is greater than a standard swing amplitude in a preset standard brushing model, and/or the swing frequency is greater than a standard swing frequency in a preset standard brushing model There is a horizontal brushing condition on the brushing surface, and the number of horizontal brushing of the current brushing surface is increased by one unit.
  • the number of horizontal brushings occurring in the current brushing surface can be determined by the change of the swinging amplitude of the smart toothbrush or the change of the swinging frequency, for example, assuming that the standard swing frequency in the preset standard brushing model is 2 Hz, When the swinging frequency of the smart toothbrush in the current brushing surface is greater than 2 Hz, it indicates that the brushing motion on the current brushing surface is a horizontal brush, and the number of horizontal brushing of the current brushing surface is increased by one unit, such as increasing once. It can be understood that, in the embodiment of the present invention, it is of course possible to combine the changes of the two to jointly determine the number of horizontal brushes that appear in the current brushing surface.
  • Step S103 forming a recommended first brushing scheme according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brush condition, and the brush head condition.
  • the recommended first brushing scheme is formed according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brushing condition, and the brush head condition, and specifically includes: step h, according to the The brushing duration, the brushing force, the brushing amplitude and the cross brush condition determine the tooth condition of each brushing surface; step i, forming a recommended first according to the tooth condition of each brushing surface and the brush head condition Brushing program.
  • the brushing duration of each brushing surface is compared with the first preset brushing duration and the second preset brushing duration to determine the teeth of each brushing surface.
  • the first predetermined brushing duration refers to a minimum length of time for achieving the purpose of cleaning the teeth
  • the second preset The duration of brushing refers to the shortest period of time that causes tooth wear.
  • the first predetermined brushing duration and the second predetermined brushing duration may be analyzed and determined according to a large amount of historical brushing data.
  • the brushing duration of a certain brushing surface is less than the length of the first predetermined brushing period, it indicates that the brushing time of the user on the brushing surface is too short to achieve the purpose of cleaning the teeth, thereby causing the teeth of the brushing surface to easily accumulate plaque. , soft scale, etc.
  • the brushing time of a certain brushing surface is longer than the second predetermined brushing duration, it indicates that the user has too long brushing time on the brushing surface, and the teeth in the brushing surface are easily worn. In this way, it is possible to determine the condition of the teeth in each of the brushing surfaces, such as plaque, accumulation of soft dirt, or wear of the teeth.
  • the first preset brushing time determined according to a large amount of historical brushing data analysis is 5 seconds
  • the second preset brushing duration is 50 seconds
  • the user is in the lower left region of the lower jaw during a certain brushing process.
  • the brushing time of the side performing the brushing action is 3 seconds
  • the brushing time of performing the brushing action on the outer side of the left upper left side is 60 seconds, thereby determining the first premolar, the second premolar, the first molar, the first side of the user's lower jaw.
  • the second molar and the third molar accumulate teeth for plaque and soft scale, and the first premolar, the second premolar, the first molar, the second molar, and the third molar on the left side of the upper jaw are wearable teeth.
  • the brushing force of each brushing surface is compared with the first predetermined brushing force and the second predetermined brushing force, thereby determining the tooth condition of each brushing surface. That is, the influence of the user on the teeth when performing the brushing action in each brushing surface by using the corresponding brushing force is determined.
  • the first preset brushing force refers to a minimum force for achieving the purpose of tooth cleaning
  • the second predetermined brushing force refers to a minimum force that causes tooth wear.
  • the first predetermined brushing force and the second predetermined brushing strength may be analyzed and determined according to a large amount of historical brushing data.
  • the brushing force of a certain brushing surface is less than the first predetermined brushing strength, it indicates that the user's brushing force on the brushing surface is lighter and cannot achieve the purpose of cleaning the teeth, thereby causing the teeth of the brushing surface to easily accumulate plaque. , soft scale, etc.
  • the brushing force of a certain brushing surface is greater than the second predetermined brushing force, it indicates that the user has too much brushing force on the brushing surface, and the teeth in the brushing surface are easily worn. In this way, it is possible to determine the condition of the teeth in each of the brushing surfaces, such as plaque, accumulation of soft dirt, or wear of the teeth.
  • the first preset brushing strength determined according to a large amount of historical brushing data analysis is 0.49N
  • the second preset brushing strength is 1.47N
  • the brushing force of the side of the upper jaw region is 1.6N when the brushing action is performed
  • the brushing force when the brushing action is performed on the outer side of the maxillary right region is 0.3N, thereby determining the two cusps of the upper jaw of the user, the incisors on both sides, and the two cuts
  • the tooth is easy to wear the teeth
  • the first premolar, the second premolar, the first molar, the second molar, and the third molar on the right side of the upper jaw are plaque, and the soft dirt accumulates teeth.
  • the brushing amplitude of each brushing surface is compared with the first predetermined brushing amplitude and the second predetermined brushing amplitude, thereby determining the tooth condition of each brushing surface. That is, it is determined that the user influences the teeth when performing the brushing action in each brushing surface with the corresponding brushing amplitude.
  • the first preset brushing amplitude refers to the minimum brushing amplitude for achieving the purpose of tooth cleaning
  • the second predetermined brushing amplitude refers to the minimum brushing amplitude for causing tooth wear.
  • the first predetermined brushing amplitude and the second predetermined brushing amplitude may be analyzed and determined according to a large amount of historical brushing data.
  • the brushing amplitude of a certain brushing surface is smaller than the first predetermined brushing amplitude, it indicates that the user has a small brushing amount on the brushing surface, and the purpose of cleaning the teeth cannot be achieved, thereby causing the teeth of the brushing surface to easily accumulate plaque. , soft scale, etc.
  • the brushing amplitude of a certain brushing surface is greater than the second predetermined brushing amplitude, it indicates that the user's brushing surface on the brushing surface is too large, and the teeth in the brushing surface are easily worn. In this way, it is possible to determine the condition of the teeth in each of the brushing surfaces, such as plaque, accumulation of soft dirt, or wear of the teeth.
  • the number of cross-brushes of each brush surface is compared with a preset number threshold to determine each brushing.
  • the surface is a horizontal brush surface
  • the horizontal brush is easy to cause tooth wear, and therefore, when a certain brush surface is determined to be a horizontal brush surface, it can be determined that the tooth in the horizontal brush surface is a wearable tooth.
  • the preset number of thresholds refers to the minimum number of horizontal brushings causing tooth wear.
  • the preset number of thresholds may be analyzed and determined based on a large amount of historical brushing data.
  • the above description only specifically describes the teeth condition of each brushing surface according to the brushing duration, the brushing force, the brushing amplitude and the horizontal brushing condition, it can be understood that, in this embodiment, it is of course possible to synthesize.
  • the duration of brushing and the strength of brushing to determine the condition of the teeth of each brushing surface is less than the third predetermined brushing duration and the brushing force is less than the third predetermined brushing force, the plaque and the soft scale accumulation
  • the tooth in the brushing surface of the tooth surface, which is longer than the fourth predetermined brushing time and the brushing force is greater than the fourth predetermined brushing force, is a wearable tooth.
  • the third predetermined brushing duration, the third predetermined brushing force, the fourth predetermined brushing duration, and the fourth predetermined brushing strength may be analyzed and determined according to a large amount of historical brushing data.
  • the tooth length, the brushing force and the brushing range can be comprehensively determined to determine the teeth of each tooth surface
  • the tooth length, the brushing force, the brushing range and the cross brush condition can be comprehensively determined to determine the tooth condition of each brushing surface.
  • the recommended first brushing scheme may be formed according to the tooth condition and the brush head condition of each brushing surface, wherein the first brushing scheme includes Brushing parameters include the duration of brushing, the vibration frequency and the amplitude of the smart toothbrush. That is, after the tooth condition of each brushing surface is determined, according to the tooth condition of each brushing surface and the condition of the brush head, the appropriate brushing force and the brushing time of the smart toothbrush in performing the brushing action in each brushing surface are determined according to the suitable The brushing force is used to determine the vibration frequency and the swing amplitude of the smart toothbrush in the first brushing scheme, and the brushing duration in the first brushing scheme is determined according to the suitable brushing duration.
  • the pre-recommended vibration frequency and the swing amplitude may be determined according to the tooth condition of each brush tooth surface, and then the pre-recommended vibration frequency and the swing amplitude may be correspondingly adjusted according to the brush head condition.
  • the brush head condition is determined to be complete.
  • the recommended swing amplitude is the same, and the pre-recommended vibration frequency is reduced by 10% to 20% to achieve a good cleaning effect, while reducing the new user's use of the toothbrush or the old user using the new brush head due to excessive vibration.
  • the contact area between the bristles and the teeth is reduced correspondingly when brushing the teeth, so in order to achieve the best cleaning effect, the pre-recommended vibration frequency can be increased by 10% to 20% at this time, and the pre-recommended swing amplitude is obtained.
  • the pre-recommended vibration frequency should be greatly reduced.
  • the amplitude of the swing reduces the pre-recommended swing amplitude by 40 to 60%; for a brush head that uses more than 90 days, it can be determined that the brush head condition is a waste brush head, thus
  • the pre-recommended vibration frequency and swing amplitude can be greatly reduced, such as reducing the pre-recommended vibration frequency and the pre-recommended swing amplitude by 70% to 100% to prevent the waste brush head from causing serious damage to the user's teeth.
  • a large pre-recommended vibration frequency and swing amplitude may be formed first.
  • the smart toothbrush automatically performs the brushing action with the vibration frequency and the swinging amplitude, thereby achieving the purpose of cleaning the plaque and the soft scale; for example, determining the tooth condition of a certain brushing surface is the wearable tooth.
  • the pre-recommended vibration frequency and the swing amplitude may be formed to correspond to the brush surface, and then the pre-preparation will be performed on this basis.
  • the recommended vibration frequency is increased by 10% to 20%
  • the pre-recommended swing amplitude is reduced by 10% to 20% to determine the appropriate vibration frequency and swing amplitude in the first brushing scheme.
  • the smart toothbrush can automatically perform the brushing action with the vibration frequency and the swinging amplitude when the user brushes to the brushing surface, thereby avoiding damage to the teeth.
  • the method further includes: step j Receiving, by the user, a second selection operation of the first brushing scheme, and determining, according to the second selection operation, whether the first brushing scheme is accepted; step k, when the first brushing scheme is accepted And pushing the first brushing solution to the smart toothbrush to adjust the brushing parameters.
  • the cloud will recommend the first brushing scheme to the user, that is, the first display manner may be displayed in the display interface of the user APP or the display interface of the smart toothbrush.
  • a brushing scheme and receiving a user's selection operation of the first brushing scheme, if the user chooses to accept or immediately use the first brushing scheme, the cloud further pushes the first brushing scheme to the smart toothbrush, Adjusting or modifying the brushing parameters of the existing brushing scheme in the smart toothbrush, so that the user can perform the brushing action in the first brushing process during the subsequent brushing process, so as to clean the teeth and avoid tooth damage.
  • the existing brushing parameters in the smart toothbrush are not adjusted or modified, so that the original brushing scheme is retained to perform the subsequent brushing action.
  • FIG. 3 is a schematic flow chart of determining an initial brushing scheme in an application scenario according to an artificial intelligence-based brushing recommendation method in an embodiment of the present invention. As shown in FIG. 3, in the present scenario, the brushing recommendation method further includes:
  • Step S301 Acquire personal information of the user, and determine, according to the personal information, a group of people in which the user is located;
  • Step S302 recommend a matching initial brushing scheme according to the correspondence between the group of people and the group of people in which the user is located and the preset brushing scheme;
  • Step S303 receiving a first selection operation of the initial brushing scheme by the user
  • Step S304 determining, according to the first selection operation, whether the initial brushing scheme is accepted
  • Step S305 when the initial brushing scheme is accepted, pushing the initial brushing scheme to the smart toothbrush to perform adjustment of the brushing parameter;
  • Step S306 When the initial brushing scheme is not accepted, the user reselected or customized second brushing scheme is pushed to the smart toothbrush to perform adjustment of the brushing parameter.
  • the first brushing scheme formed in the embodiment is determined based on the brushing data generated by the user performing the brushing motion, and therefore, the smart toothbrush needs to be determined before acquiring the brushing data generated by the user performing the brushing motion.
  • the initial brushing scheme allows the user to perform a brushing action in accordance with the initial brushing protocol to generate subsequent brushing data.
  • the initial brushing scheme can be matched according to the smart brush head with the NFC label selected by the user.
  • the initial brushing can also be matched according to the collected personal information of the user.
  • the solution and the corresponding smart brush head preferably, a matching initial brushing scheme is recommended based on the collected personal information of the user.
  • the cloud presets and stores a plurality of different preset brushing schemes
  • the brushing parameters of the preset brushing schemes include brushing duration, vibration frequency, and swing amplitude, such as the brushing duration used in the morning efficient cleaning scheme is 2 Minutes, vibration frequency is 38,000 times per minute, swing amplitude is 5 mm to 6 mm; and as used for the first time, the brushing time is 2.5 minutes, the vibration frequency is 35,000 times per minute, and the swing amplitude is 4 mm to 5 mm.
  • the smoked tea stained coffee stain cleaning program uses a brushing time of 3 minutes, the first 2 minutes of the vibration frequency is 21,000 times to 38,000 cycles of gradual change, the first 2 minutes of the swing range is 5 mm to 6 mm, the last minute The vibration frequency is 35,000 times per minute and the swing range is 4 mm to 5 mm.
  • the corresponding group of people corresponding to each preset brushing scheme is determined to form a preset correspondence relationship with the cloud, such as determining the smoke.
  • Stained tea stains, coffee stains, cleaning schemes suitable groups for people who smoke, people who drink more tea daily, and people who drink more coffee every day, that is, smoked tea stains, coffee stains, cleaning programs, smoking people, daily drinking tea, more people
  • the default correspondence between the people who drink more coffee daily is possible correspondence between the people who drink more coffee daily.
  • step S301 when the user selects to brush the teeth with the smart toothbrush, the user can register the user account through the corresponding APP, thereby obtaining the user's personal information through the account registration, such as obtaining the user's gender, age, tooth whitening degree, eating habits.
  • Personal information such as dental health status, here, dietary information includes information such as whether you smoke regularly, drink tea, drink coffee, drink carbonated drinks, etc., dental health information includes whether there are orthodontic teeth, cavities, gingivitis, periodontitis , dental implants, teeth cleaning and other information.
  • the user's personal information may also be obtained through other smart devices added by the user, and the user's personal information may also be obtained through the account information of the associated third-party application. After the user's personal information is obtained, the person group in which the user is located is determined according to the personal information.
  • the person group in which the user is located may be determined according to the personal information. If the user has the habit of drinking tea or drinking coffee frequently, the group of people in which the user is located may be determined. For the smoked tea stained coffee stain group; if the user has tooth decay, gingivitis or periodontitis, then it can be determined that the group of people in which it is located is the periodontitis group of gingivitis; if the user has a kind of tooth, then Make sure that the group of people in which it is located is a group of dental implants; if the user is bleeding easily for the elderly, children or gums, it can be determined that the group of the person is a soft ankle group; if the user has a denture, then the user can be determined The group of people in the group is a denture group.
  • step S302 after determining the group of people in which the user is located according to the personal information of the user, recommending the matching with the group of people in which the user is located according to the correspondence between the group of people and the preset brushing scheme.
  • the initial brushing scheme such as the smoked tea stained coffee stain group corresponding to the preset brushing scheme for the smoked tea stained coffee stain cleaning program, the gingivitis gingivitis periodontitis group corresponding preset brushing program for gingivitis gingivitis periodontitis cleaning care
  • the preset brushing scheme corresponding to the soft ankle group is a soft cleaning moth scheme.
  • the matching initial brushing scheme is smoked tea stain. Coffee stain cleaning program; when it is determined that the user group is the gingivitis periodontitis group, the matching initial brushing scheme is the gingivitis periodontitis cleaning care plan; when determining the user group is soft In the ankle group, the matching initial brushing scheme is a gentle cleansing scheme.
  • the dental health status information acquired based on the user's personal information is automatically stored and saved, and when the recommended first brushing scheme is formed according to the acquired brushing data and the brush head data, it is automatically Taking into account the health of the teeth, such as when the acquired user information shows that the user has tooth decay or periodontitis, the position of the tooth that saves the tooth decay and periodontitis is automatically marked. Therefore, when the recommended first brushing scheme is formed, a small vibration frequency and a swing amplitude are set corresponding to the tooth of the tooth decay and the periodontitis, so that other regions are still in accordance with the normal vibration during the subsequent brushing process.
  • the cloud will recommend the initial brushing scheme to the user, that is, the display will be displayed in the display interface of the user APP or the smart toothbrush.
  • the initial brushing scheme in which the user needs to select whether to accept the initial brushing scheme, if the user chooses to accept or immediately use the initial brushing scheme, the cloud further pushes the initial brushing scheme to the smart toothbrush to The brushing parameters of the smart toothbrush are set and adjusted. When the user uses the smart toothbrush to brush the teeth, the smart toothbrush performs the brushing action according to the modified brushing parameters.
  • step S306 it can be understood that if the user does not accept the initial brushing scheme, the user needs to reselect the brushing scheme required by the user from all the brushing schemes of the cloud read by the APP, if all the brushing schemes are used. If there is no brushing scheme required by the user, the user can also customize the brushing scheme required by the user. After re-selecting or customizing, the user's re-selected brushing scheme or customized brushing scheme is pushed into the smart toothbrush. And setting and adjusting the brushing parameters of the smart toothbrush, and when the user uses the smart toothbrush to brush the teeth, the smart toothbrush performs the brushing action according to the modified brushing parameter.
  • the initial brushing scheme determined according to the user's personal information and the first brushing scheme recommended according to the brushing data and the brushhead data may be associated with the user account of the user.
  • the first brushing scheme can be synchronized or synchronized to the new smart toothbrush.
  • the first brushing scheme may be synchronized to the new smart toothbrush, and the new smart toothbrush may directly be according to the first a brushing scheme to perform a brushing action; if the first brushing scheme is not associated in the user account of the user, but the initial brushing scheme is associated, the initial brushing scheme may be synchronized to the In the new smart toothbrush, the new smart toothbrush can perform the brushing action directly according to the initial brushing scheme.
  • the brushing data and the brush head data detected by the data detecting device in the smart toothbrush are acquired; secondly, the brushing data is analyzed, and the brushing duration, brushing strength, and brushing range of each brushing surface are statistically obtained. And brushing the data, and analyzing the brush head data to obtain a brush head condition of the smart toothbrush; and then, according to the brushing duration, the brushing force, the brushing range, the horizontal brush condition, and The brush head condition forms the recommended first brushing scheme.
  • the brushing data and the brush head data during the brushing process of the user are collected, and the brushing data and the brush head data are analyzed to form a brushing scheme suitable for the user to the user, so as to implement the smart toothbrush.
  • the above mainly describes an artificial intelligence-based brushing recommendation method, and a manual description of the artificial intelligence-based brushing device will be described below.
  • FIG. 4 is a structural diagram showing an embodiment of a brushing recommendation device based on artificial intelligence in Embodiment 2 of the present invention.
  • the brushing recommending device includes:
  • the data acquisition module 401 is configured to acquire brushing data and brush head data detected by the data detecting device in the smart toothbrush;
  • the brushing data analysis module 402 is configured to analyze the brushing data, and obtain a brushing condition of each brushing surface, wherein the brushing condition includes a brushing duration, a brushing force, a brushing amplitude, and a horizontal brushing condition;
  • the brush head data analysis module 403 is configured to analyze the brush head data to obtain a brush head condition of the smart toothbrush
  • the brushing solution recommendation module 404 is configured to form a recommended first brushing scheme according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brushing condition, and the brush head data.
  • the data detecting device includes an attitude sensor, a pressure sensor, an NFC tag, and a tag reading and writing device;
  • the data acquiring module 401 is specifically configured to acquire first brushing data output by the posture sensor, second brushing data output by the pressure sensor, and the NFC label read by the label reading and writing device. The collected head data.
  • the brushing recommending device further includes:
  • a person group determining module configured to obtain personal information of the user, and determining, according to the personal information, a group of people in which the user is located
  • An initial scheme matching module configured to recommend a matching initial brushing scheme according to a correspondence between the user group and the group of the user and the preset brushing scheme
  • An initial scheme determining module configured to receive a first selection operation of the initial brushing scheme by the user, and determine, according to the first selecting operation, whether the initial brushing scheme is accepted;
  • a first push adjustment module configured to push the initial brushing scheme to the smart toothbrush to perform adjustment of a brushing parameter when the initial brushing scheme is accepted
  • the second push adjustment module is configured to push the user reselected or customized second brushing scheme to the smart toothbrush to perform adjustment of the brushing parameter when the initial brushing scheme is not accepted.
  • the brushing data includes a triaxial acceleration output by the triaxial acceleration sensor and a triaxial angular velocity of the triaxial gyroscope output;
  • the brushing data analysis module 402 includes:
  • a fusion processing unit configured to fuse the triaxial acceleration and the triaxial angular velocity to obtain a rolling angle, a pitch angle, and a heading angle of the smart toothbrush at each brushing position;
  • a position determining unit configured to determine, according to the rolling angle, the pitch angle, and the heading angle, a tooth partition corresponding to each brushing position in a preset tooth partition, wherein the predetermined tooth partition refers to a pre-allocation according to the distribution of all the teeth Divided tooth area;
  • the brushing surface determining unit is configured to determine, according to the rolling angle, a corresponding brushing surface of each brushing position in the tooth segment.
  • the brushing data analysis module 402 further includes:
  • a total brushing time acquisition unit for counting the total brushing time of the smart toothbrush performing a brushing action on each brushing surface
  • the wrong brushing time acquisition unit is configured to obtain an incorrect brushing time length when the pitching angle of the smart toothbrush is greater than a preset pitch angle when the brushing action is performed on each brushing surface;
  • a brushing time acquisition unit for subtracting the total brushing duration from the total brushing duration to obtain a brushing duration of each brushing surface.
  • the brushing solution recommendation module 404 specifically includes:
  • a tooth condition determining unit configured to determine a tooth condition of each brushing surface according to the brushing duration, the brushing force, the brushing amplitude, and the horizontal brush condition;
  • the brushing solution recommendation unit is configured to form a recommended first brushing scheme according to the tooth condition of each brushing surface and the condition of the brush head.
  • the brushing recommending device further comprises:
  • a first solution determining module configured to receive a second selection operation of the first brushing solution by the user, and determine, according to the second selecting operation, whether the first brushing solution is accepted;
  • the third push adjustment module is configured to push the first brushing scheme to the smart toothbrush to perform adjustment of the brushing parameter when the first brushing scheme is accepted.
  • FIG. 5 is a schematic diagram of an artificial intelligence based brushing recommending apparatus according to Embodiment 3 of the present invention.
  • the brushing recommendation device 500 of this embodiment includes a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and operable on the processor 501, for example, based on artificial intelligence. Brushing recommended procedure.
  • the processor 501 executes the computer program 503
  • the steps in the foregoing embodiments of the artificial intelligence-based brushing recommendation method are implemented, for example, steps S101 to S104 shown in FIG.
  • the processor 501 executes the computer program 503
  • the functions of the modules/units in the foregoing device embodiments such as the functions of the modules 401 to 404 shown in FIG. 4, are implemented.
  • the computer program 503 can be partitioned into one or more modules/units that are stored in the memory 502 and executed by the processor 501 to complete Embodiments of the invention.
  • the one or more modules/units may be a series of computer program instruction segments capable of performing a particular function, the instruction segments being used to describe the execution of the computer program 503 in the brushing recommendation device 500.
  • the computer program 503 can be divided into a data acquisition module, a brushing data analysis module, a brush head data analysis module, and a brushing solution recommendation module.
  • the specific functions of each module are as follows:
  • a data acquisition module configured to acquire brushing data and brush head data detected by the data detecting device in the smart toothbrush
  • a brushing data analysis module configured to analyze the brushing data, and obtain a brushing condition of each brushing surface, wherein the brushing condition includes a brushing duration, a brushing force, a brushing amplitude, and a horizontal brushing condition;
  • a brush head data analysis module configured to analyze the brush head data to obtain a brush head condition of the smart toothbrush
  • the brushing solution recommendation module is configured to form a recommended first brushing scheme according to the brushing duration, the brushing force, the brushing amplitude, the horizontal brush condition, and the brush head condition.
  • the brushing recommendation device 500 can be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • the brushing recommendation device 500 can include, but is not limited to, a processor 501, a memory 502. It will be understood by those skilled in the art that FIG. 5 is merely an example of the brushing recommending device 500, does not constitute a limitation to the brushing recommending device 500, may include more or less components than the illustration, or combine some components, or different
  • the components, such as the brushing recommendation device 500 may also include input and output devices, network access devices, buses, and the like.
  • the processor 501 may be a central processing unit (CPU), or may be another general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • the memory 502 may be an internal storage unit of the brushing recommendation device 500, such as a hard disk or memory of the brushing recommendation device 500.
  • the memory 502 may also be an external storage device of the brushing recommendation device 500, such as a plug-in hard disk equipped on the brushing recommendation device 500, a smart memory card (SMC), and a secure digital (Secure Digital, SD) card, flash card, etc.
  • the memory 502 may also include both an internal storage unit of the brushing recommendation device 500 and an external storage device.
  • the memory 502 is used to store the computer program 503 and other programs and data required by the brushing recommendation device 500.
  • the memory 502 can also be used to temporarily store data that has been output or is about to be output.
  • modules, units, and/or method steps of the various embodiments described in connection with the embodiments disclosed herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the present invention implements all or part of the processes in the foregoing embodiments, and may also be completed by a computer program to instruct related hardware.
  • the computer program may be stored in a computer readable storage medium. The steps of the various method embodiments described above may be implemented when the program is executed by the processor.
  • the computer program comprises computer program code, which may be in the form of source code, object code form, executable file or some intermediate form.
  • the computer readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM). , random access memory (RAM, Random Access Memory), electrical carrier signals, telecommunications signals, and software distribution media. It should be noted that the content contained in the computer readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in a jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, computer readable media Does not include electrical carrier signals and telecommunication signals.

Abstract

一种基于人工智能的刷牙推荐方法、刷牙推荐装置、设备和存储介质。刷牙推荐方法包括：获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；对刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；对刷头数据进行分析，得到智能牙刷的刷头状况；根据刷牙时长、刷牙力度、刷牙幅度、横刷情况和刷头状况形成推荐的第一刷牙方案。通过对获取的用户刷牙过程中的刷牙数据和刷头数据进行分析，来形成适合该用户的刷牙方案，并将其推荐至该用户，以实现智能牙刷中刷牙方案的动态调整，从而满足不同用户的刷牙需求，提高智能牙刷的适用性。

Description

基于人工智能的刷牙推荐方法、装置、设备及存储介质 技术领域
本发明涉及智能牙刷技术领域，尤其涉及一种基于人工智能的刷牙推荐方法、推荐装置、推荐设备及存储介质。
背景技术
刷牙是一种使用牙刷去除牙菌斑、软垢、食物残渣以保持口腔清洁、预防牙周病发生的重要手段。但在使用传统牙刷刷牙过程中，人们往往看不到刷牙情况，无法获取准确的刷牙数据，从而无法正确判断自己刷牙动作的规范性，导致口腔牙齿清洁度不够，而造成许多口腔疾病的发生。
随着社会的进步，身体健康越来越受到人们的重视，具有更强清洁效果的智能牙刷得到了快速发展，但现有的智能牙刷中往往只能根据预先设定的刷牙模式来实现自动刷牙，并且现有智能牙刷中预先设定的刷牙模式比较单一，而不同用户的牙齿状况并不相同，这种较单一的刷牙模式无法满足不同用户的刷牙需求，从而导致智能刷牙的适用性较差。
综上，如何满足不同用户的刷牙需求、提高智能牙刷的适用性成为本领域技术人员亟待解决的问题。
发明内容
本发明实施例提供了一种基于人工智能的刷牙推荐方法、推荐装置、推荐设备及存储介质，能够根据用户的刷牙数据和智能牙刷的刷头数据向用户推荐对应的刷牙方案，以动态调整智能牙刷中的刷牙方案，从而满足不同用户的刷牙需求，提高智能牙刷的适用性。
本发明实施例的第一方面，提供了一种基于人工智能的刷牙推荐方法，包 括：
获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
进一步地，所述数据检测装置包括姿态传感器、压力传感器、NFC标签和标签读写装置；
相应地，获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据，包括：
获取所述姿态传感器输出的第一刷牙数据、所述压力传感器输出的第二刷牙数据以及通过所述标签读写装置读取的所述NFC标签采集到的刷头数据。
可选地，所述刷牙推荐方法，还包括：
获取用户的个人信息，并根据所述个人信息确定所述用户所在的人群组别；
根据所述用户所在的人群组别及人群组别与预设刷牙方案的对应关系推荐匹配的初始刷牙方案；
接收用户对所述初始刷牙方案的第一选择操作，并根据所述第一选择操作判断所述初始刷牙方案是否被接受；
当所述初始刷牙方案被接受时，将所述初始刷牙方案推送至所述智能牙刷以进行刷牙参数的调整；
当所述初始刷牙方案未被接受时，将所述用户重新选择或者自定义的第二刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
优选地，所述刷牙数据包括三轴加速度传感器输出的三轴加速度和三轴陀螺仪输出的三轴角速度；
相应的，对所述刷牙数据进行分析，包括：
将所述三轴加速度及所述三轴角速度进行融合处理，得到每一刷牙位置处的所述智能牙刷的滚动角度、俯仰角度及航向角度；
根据所述滚动角度、俯仰角度及航向角度确定各个刷牙位置在预设牙齿分区中所对应的牙齿分区，其中，所述预设牙齿分区是指根据所有牙齿的分布情况预先划分的牙齿区域；
根据所述滚动角度确定各个刷牙位置在所述牙齿分区中对应的刷牙面。
进一步地，统计得到每一刷牙面的刷牙时长，包括：
统计所述智能牙刷在每一刷牙面上执行刷牙动作的总刷牙时长；
获取在每一刷牙面上执行所述刷牙动作时所述智能牙刷的俯仰角度大于预设俯仰角度的错误刷牙时长；
将所述总刷牙时长减去所述错误刷牙时长得到每一刷牙面的刷牙时长。
可选地，所述根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案，具体包括：
根据所述刷牙时长、所述刷牙力度、所述刷牙幅度和所述横刷情况确定每一刷牙面的牙齿状况；
根据每一刷牙面的牙齿状况和所述刷头状况形成推荐的第一刷牙方案。
优选地，在根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案之后，包括：
接收所述用户对所述第一刷牙方案的第二选择操作，并根据所述第二选择操作判断所述第一刷牙方案是否被接受；
当所述第一刷牙方案被接受时，将所述第一刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
本发明实施例的第二方面，提供了一种基于人工智能的刷牙推荐装置，包括：
数据获取模块，用于获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
刷牙数据分析模块，用于对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
刷头数据分析模块，用于对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
刷牙方案推荐模块，用于根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
本发明实施例的第三方面，提供了一种基于人工智能的刷牙推荐设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如前述第一方面所述基于人工智能的刷牙推荐方法的步骤。
本发明实施例的第四方面，提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，所述计算机程序被处理器执行时实现如前述第一方面所述基于人工智能的刷牙推荐方法的步骤。
从以上技术方案可以看出，本发明实施例具有以下优点：
本发明实施例中，首先，获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；其次，对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙时长、刷牙力度、刷牙幅度和横刷情况，并对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；随后，根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。本发明实施例中，通过采集用户刷牙过程中的刷牙数据和刷头数据，并通过对采集的刷牙数据和刷头数据进行分析来形成适合该用户的刷牙方案推荐至该用户，以实现智能牙刷中刷牙方案的动态调整，从而满足不同用户的刷牙需求，提高智能牙刷的适用性。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例一提供的一种基于人工智能的刷牙推荐方法的方法流程图；
图2为本发明实施例一中一种基于人工智能的刷牙推荐方法在一个应用场景下确定刷牙面的流程示意图；
图3为本发明实施例一中一种基于人工智能的刷牙推荐方法在一个应用场景下确定初始刷牙方案的流程示意图；
图4为本发明实施例二提供的一种基于人工智能的刷牙推荐装置的结构示意图；
图5为本发明实施例三提供的一种基于人工智能的刷牙推荐设备的示意图。
具体实施方式
本发明实施例提供了一种基于人工智能的刷牙推荐方法、推荐装置、推荐设备及存储介质，用于根据用户的刷牙数据和智能牙刷的刷头数据向用户推荐对应的刷牙方案，以动态调整智能牙刷中的刷牙方案，从而满足不同用户的刷牙需求，提高智能牙刷的适用性。
为使得本发明的发明目的、特征、优点能够更加的明显和易懂，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，下面所描述的实施例仅仅是本发明一部分实施例，而非全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其它实施例，都属于本发明保护的范围。
本发明的说明书和权利要求书及上述附图中的术语“包括”以及它们任何 变形，意图在于覆盖不排他的包含。例如包含一系列步骤或单元的过程、方法或系统、产品或设备没有限定于已列出的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或单元。此外，术语“第一”、“第二”和“第三”等是用于区别不同对象，而非用于描述特定顺序。
如图1中所示，本发明实施例一提供了一种基于人工智能的刷牙推荐方法，所述刷牙推荐方法，包括：
步骤S101、获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据。
在此，所述数据检测装置包括姿态传感器、压力传感器、NFC标签和标签读写装置。因而，获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据，具体包括：获取所述姿态传感器输出的第一刷牙数据、所述压力传感器输出的第二刷牙数据以及通过所述标签读写装置读取的所述NFC标签采集到的刷头数据。
本实施例中，智能牙刷中设置有姿态传感器、压力传感器、NFC标签和标签读写装置，所述姿态传感器可用于检测用户使用所述智能牙刷执行刷牙动作时的各种刷牙数据，如所述智能牙刷中设置有三轴加速度传感器，在执行刷牙动作时，该三轴加速度传感器可检测出智能牙刷在X、Y、Z三轴向的加速度；又如，所述智能牙刷中还可设置有三轴陀螺仪，在执行刷牙动作时，该三轴陀螺仪可检测出智能牙刷在X、Y、Z三轴向的角速度；所述压力传感器可用于检测用户执行刷牙动作时，各刷牙面的压力大小；智能牙刷的刷头内设置有NFC标签，可用于检测刷头的使用天数，而智能牙刷内还设置有标签读写装置，以读取NFC标签检测到的刷头使用天数的数据，以根据使用天数来确定刷头状况。
步骤S102、对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况。
具体地，所述刷牙数据包括三轴加速度传感器输出的三轴加速度和三轴陀 螺仪输出的三轴角速度；
相应的，如图2所示，对所述刷牙数据进行分析，包括：
步骤S201、将所述三轴加速度及所述三轴角速度进行融合处理，得到每一刷牙位置处的所述智能牙刷的滚动角度、俯仰角度及航向角度；
步骤S202、根据所述滚动角度、俯仰角度及航向角度确定各个刷牙位置在预设牙齿分区中所对应的牙齿分区，其中，所述预设牙齿分区是指根据所有牙齿的分布情况预先划分的牙齿区域；
步骤S203、根据所述滚动角度确定各个刷牙位置在所述牙齿分区中对应的刷牙面。
在步骤S201中，在获取三轴加速度传感器输出的三轴加速度及三轴陀螺仪输出的三轴角速度后，对该三轴加速度和三轴角速度进行卡尔曼(Kalman)滤波处理，并将滤波处理后的三轴加速度与三轴角速度进行Madgwick姿态融合处理，从而得到当前刷牙位置处所述智能牙刷的滚动角度Roll、俯仰角度Pitch、航向角度Yaw三个姿态数据。
可以理解的是，为提高数据检测的精准性，本实施例中，在智能牙刷中，还可设置有三轴地磁传感器，以用于修正三轴加速度传感器、三轴陀螺仪检测的数据漂移。
在此，所述预设牙齿分区是指根据人体口腔中所有牙齿的分布情况预先划分的牙齿区域，如以成人32颗牙齿为例，可将32颗牙齿划分成上颌左区、上颌中区、上颌右区、下颌左区、下颌中区、下颌右区6个牙齿分区，其中，上颌左区包括上颌左边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙，上颌中区包括上颌的两尖牙、两侧切牙、两中切牙，上颌右区包括上颌右边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙，下颌左区包括下颌左边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙，下颌中区包括下颌的两尖牙、两侧切牙、两中切牙，下颌右区包括下颌右边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙。同时根据上颌左 区、上颌右区、下颌左区、下颌右区分别包括外侧面、内侧面、咬合面，及上颌中区和下颌中区均包括外侧面和内侧面，可将这6个牙齿分区进一步划分成16个刷牙面。
在步骤S202和S203中，主要根据滚动角度Roll和航向角度Yaw来判断当前刷牙位置处于6个牙齿分区中的哪一个区域中，如判断出是处于上颌左区、还是处于下颌中区、又或者是处于上颌右区等。在判断出当前刷牙位置的刷牙区后，根据滚动角度Roll来进一步判断当前刷牙位置在该刷牙区中的哪一刷牙面，如首先确定了当前刷牙位置为上颌左区，则进一步判断当前刷牙位置为上颌左区的外侧面、内侧面还是咬合面。其中，俯仰角度Pitch也可用于辅助判断当前刷牙位置所处的牙齿区域以及刷牙面。
可以理解的是，当用户从预定的初始牙齿分区开始，并以设定的刷牙顺序进行实时引导刷牙时，所述智能牙刷中可只设置三轴加速度传感器，以根据三轴加速度传感器获取的三轴加速度得到智能牙刷执行刷牙动作时的滚动角度和俯仰角度，从而根据当前实时引导过程中的刷牙区和相对应的滚动角度、俯仰角度来确定当前刷牙位置在该刷牙区中对应的刷牙面。在此，所述初始牙齿分区可由用户在使用过程中自定义确定。
可以理解的是，本实施例中，可通过比较当前刷牙区的航向角度Yaw与上一刷牙区的航向角度Yaw自动识别左右手刷牙人群，而通过三轴加速度传感器与三轴陀螺仪或者三轴加速度传感器、三轴陀螺仪与三轴地磁传感器来进行刷牙数据的采集可避免不同手刷牙对刷牙数据采集的影响，从而确保数据采集的准确性及有效性。
进一步地，本实施例中，所述统计得到每一刷牙面的刷牙状况，包括：统计得到每一刷牙面的刷牙时长、统计得到每一刷牙面的刷牙力度、统计得到每一刷牙面的刷牙幅度和统计得到每一刷牙面的横刷情况。其中，统计得到每一刷牙面的刷牙时长，具体包括：步骤a、统计所述智能牙刷在每一刷牙面上执行刷牙动作的总刷牙时长；步骤b、获取在每一刷牙面上执行所述刷牙动作时 所述智能牙刷的俯仰角度大于预设俯仰角度的错误刷牙时长；步骤c、将所述总刷牙时长减去所述错误刷牙时长得到每一刷牙面的刷牙时长。
在此，所述刷牙时长是指用户刷牙动作正确的有效刷牙时长。本实施例中，在准确确定了当前刷牙位置的牙齿分区及刷牙面后，记录统计用户使用智能牙刷在该当前刷牙面上执行刷牙动作的总刷牙时长，并实时监测在该当前刷牙面中所述智能牙刷的俯仰角度Pitch，当监测到的俯仰角度Pitch大于预设俯仰角度时，如假定预设俯仰角度为70，因而，当所述智能牙刷的俯仰角度Pitch大于70时，则认为此时的智能牙刷处于接近直立的错误刷牙状态中，并记录该错误刷牙状态存续的错误刷牙时长，最后将总刷牙时长减去该错误刷牙时长来得到该当前刷牙面的刷牙时长。
进一步地，本实施例中，所述智能牙刷中的压力传感器可用于实时检测各个刷牙面在用户执行刷牙过程中所受到的压力大小，以根据所检测到的压力大小来统计得到每一刷牙面的刷牙力度。
可选地，本实施例中，统计得到每一刷牙面的刷牙幅度，包括：步骤d、根据所述三轴加速度传感器输出的当前刷牙面中X轴向的加速度计算所述当前刷牙面中所述智能牙刷的加速度方差；步骤e、根据所述加速度方差确定当前刷牙面的刷牙幅度。
在此，可预先设置加速度方差与刷牙幅度的预设对应关系。当智能牙刷在某一刷牙面上执行刷牙动作时，实时计算当前刷牙面中智能牙刷的三轴加速度传感器输出的X轴向的加速度的加速度方差，得到加速度方差后，根据加速度方差与刷牙幅度的预设对应关系来统计得到当前刷牙面的刷牙幅度。
进一步地，统计得到每一刷牙面的横刷情况，具体包括：步骤f、根据所述三轴加速度传感器输出的当前刷牙面中X轴向的加速度计算所述当前刷牙面中所述智能牙刷的摆动幅度和摆动频率；步骤g、当所述摆动幅度大于预设标准刷牙模型中的标准摆动幅度，和/或所述摆动频率大于预设标准刷牙模型中的标准摆动频率时，确定所述当前刷牙面存在横刷情况，并将所述当前刷牙面的 横刷次数增加一次数单位。
在此，本发明实施例中，可通过智能牙刷摆动幅度的变化或者摆动频率的变化来确定当前刷牙面中出现的横刷次数，如假设预设标准刷牙模型中的标准摆动频率为2Hz，因而当当前刷牙面中智能牙刷的摆动频率大于2Hz时，则表明此时在该当前刷牙面上的刷牙动作是横刷，并将当前刷牙面的横刷次数增加一次数单位，如增加一次。可以理解的是，本发明实施例中当然也可以结合两者变化来共同判断当前刷牙面中出现的横刷次数。
步骤S103、根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
本实施例中，所述根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案，具体包括：步骤h、根据所述刷牙时长、所述刷牙力度、所述刷牙幅度和所述横刷情况确定每一刷牙面的牙齿状况；步骤i、根据每一刷牙面的牙齿状况和所述刷头状况形成推荐的第一刷牙方案。
对于上述步骤h，当统计得到每一刷牙面的刷牙时长后，将每一刷牙面的刷牙时长与第一预设刷牙时长和第二预设刷牙时长进行比较，从而确定每一刷牙面的牙齿状况，即确定用户在各个刷牙面中执行对应时长的刷牙动作时对牙齿所造成的影响，其中，所述第一预设刷牙时长是指达到牙齿清洁目的的最短时长，所述第二预设刷牙时长是指造成牙齿磨损的最短时长。所述第一预设刷牙时长和所述第二预设刷牙时长可根据大量历史刷牙数据来分析确定。当某一刷牙面的刷牙时长小于所述第一预设刷牙时长时，表明用户在该刷牙面的刷牙时间太短，不能达到清洁牙齿的目的，从而导致该刷牙面的牙齿容易累积牙菌斑、软垢等。当某一刷牙面的刷牙时长大于所述第二预设刷牙时长时，表明用户在该刷牙面的刷牙时间过长，易磨损该刷牙面中的牙齿。以此，可确定各个刷牙面中的牙齿状况，如是牙菌斑、软垢累积牙齿，还是易磨损牙齿。
例如，在某一具体应用中，根据大量历史刷牙数据分析确定的第一预设刷 牙时长为5秒，第二预设刷牙时长为50秒，而用户某一刷牙过程中，在下颌左区内侧面执行刷牙动作的刷牙时长为3秒，在上颌左区外侧面执行刷牙动作的刷牙时长为60秒，即可确定该用户下颌左边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙为牙菌斑、软垢累积牙齿，而上颌左边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙为易磨损牙齿。
进一步地，当统计得到每一刷牙面的刷牙力度后，将每一刷牙面的刷牙力度与第一预设刷牙力度和第二预设刷牙力度进行比较，从而确定每一刷牙面的牙齿状况，即确定用户采用对应的刷牙力度在各个刷牙面中执行刷牙动作时对牙齿所造成的影响。其中，所述第一预设刷牙力度是指达到牙齿清洁目的的最小力度，所述第二预设刷牙力度是指造成牙齿磨损的最小力度。所述第一预设刷牙力度和所述第二预设刷牙力度可根据大量历史刷牙数据来分析确定。当某一刷牙面的刷牙力度小于所述第一预设刷牙力度时，表明用户在该刷牙面的刷牙力度较轻，不能达到清洁牙齿的目的，从而导致该刷牙面的牙齿容易累积牙菌斑、软垢等。当某一刷牙面的刷牙力度大于所述第二预设刷牙力度时，表明用户在该刷牙面的刷牙力度太大，易磨损该刷牙面中的牙齿。以此，可确定各个刷牙面中的牙齿状况，如是牙菌斑、软垢累积牙齿，还是易磨损牙齿。
例如，在某一具体应用中，根据大量历史刷牙数据分析确定的第一预设刷牙力度为0.49N，第二预设刷牙力度为1.47N，而在用户某一刷牙过程中，检测到用户在上颌中区内侧面执行刷牙动作时的刷牙力度1.6N，在上颌右区外侧面执行刷牙动作时的刷牙力度为0.3N，即可确定该用户上颌的两尖牙、两侧切牙、两中切牙为易磨损牙齿，而上颌右边的第一前磨牙、第二前磨牙、第一磨牙、第二磨牙、第三磨牙为牙菌斑、软垢累积牙齿。
可选地，当统计得到每一刷牙面的刷牙幅度后，将每一刷牙面的刷牙幅度与第一预设刷牙幅度和第二预设刷牙幅度进行比较，从而确定每一刷牙面的牙齿状况，即确定用户采用对应的刷牙幅度在各个刷牙面中执行刷牙动作时对牙齿所造成的影响。其中，所述第一预设刷牙幅度是指达到牙齿清洁目的的最小 刷牙幅度，所述第二预设刷牙幅度是指造成牙齿磨损的最小刷牙幅度。所述第一预设刷牙幅度和所述第二预设刷牙幅度可根据大量历史刷牙数据来分析确定。当某一刷牙面的刷牙幅度小于所述第一预设刷牙幅度时，表明用户在该刷牙面的刷牙幅度较小，不能达到清洁牙齿的目的，从而导致该刷牙面的牙齿容易累积牙菌斑、软垢等。当某一刷牙面的刷牙幅度大于所述第二预设刷牙幅度时，表明用户在该刷牙面的刷牙幅度太大，易磨损该刷牙面中的牙齿。以此，可确定各个刷牙面中的牙齿状况，如是牙菌斑、软垢累积牙齿，还是易磨损牙齿。
可选地，当统计得到每一刷牙面的横刷情况，即得到每一刷牙面的横刷次数后，将每一刷牙面的横刷次数与预设次数阈值进行比较，从而确定每一刷牙面是否为横刷面，因横刷易造成牙齿磨损，因而，当某一刷牙面确定为横刷面时，则可确定该横刷面中的牙齿为易磨损牙齿。其中，所述预设次数阈值是指造成牙齿磨损的最小横刷次数。所述预设次数阈值可根据大量历史刷牙数据来分析确定。
本实施例中，上述描述中虽然只具体叙述了分别根据刷牙时长、刷牙力度、刷牙幅度和横刷情况来确定各刷牙面的牙齿状况，可以理解的是，本实施例中，当然也可综合刷牙时长和刷牙力度来确定各刷牙面的牙齿状况，如可确定刷牙时长小于第三预设刷牙时长且刷牙力度小于第三预设刷牙力度的刷牙面中的牙齿为牙菌斑、软垢累积牙齿，而刷牙时长大于第四预设刷牙时长且刷牙力度大于第四预设刷牙力度的刷牙面中的牙齿为易磨损牙齿。同样地，所述第三预设刷牙时长、所述第三预设刷牙力度、所述第四预设刷牙时长及所述第四预设刷牙力度可根据大量历史刷牙数据来分析确定。当然也可综合刷牙时长、刷牙力度和刷牙幅度来确定各刷牙面的牙齿情况，还可综合刷牙时长、刷牙力度、刷牙幅度和横刷情况来确定各刷牙面的牙齿状况。
对于上述步骤i，当每一刷牙面的牙齿状况确定后，则可根据每一刷牙面的牙齿状况和刷头状况来形成推荐的第一刷牙方案，其中，所述第一刷牙方案中 包括的刷牙参数有刷牙时长、智能牙刷的震动频率和摆动幅度。即在每一刷牙面的牙齿状况确定后，根据每一刷牙面的牙齿状况和刷头状况来确定智能牙刷在各个刷牙面中执行刷牙动作时适宜的刷牙力度和刷牙时长，以根据该适宜的刷牙力度来确定所述第一刷牙方案中智能牙刷的震动频率和摆动幅度，并根据该适宜的刷牙时长来确定所述第一刷牙方案中的刷牙时长。
在此，可先根据每一刷牙面的牙齿状况确定预推荐的震动频率和摆动幅度来与其相对应，随后，可根据刷头状况来对预推荐的震动频率和摆动幅度进行对应调整。如对于使用天数处于0至30天内的刷头，可确定刷头状况为刷毛完整，刷牙时刷毛与牙齿的接触面积最广，具有良好的牙面和牙缝清洁效果，因而此时可保持预推荐的摆动幅度不变，而将预推荐的震动频率对应降低10％至20％，以在达到良好清洁效果的同时，减小新用户使用牙刷或者老用户使用新刷头时因震动过大带来的不适感；对于使用天数处于31至60天内的刷头，可确定刷头状况为刷毛完整度比0至30天内的刷头低，即部分刷毛存在一定幅度的变形和弯曲，刷毛也出现一定程度的松散，刷牙时刷毛和牙齿的接触面积对应减小，因而为了达到最佳的清洁效果，此时可将预推荐的震动频率对应增加10％至20％，并将预推荐的摆动幅度适度降低，如降低10％至20％；对于使用天数处于61至90天内的刷头，可确定刷头状况为刷毛完整度低于31至60天内的刷头，即刷头中的绝大部分刷毛都存在变形和弯曲的现象，导致刷毛对牙缝的清洁效率急剧降低，刷毛整体呈现出蓬松散射状态，此时，较大的摆动幅度会对牙龈造成损伤，同时因刷毛顶支撑效果下降，用户使用与之前相同的力度刷牙时会导致刷头硬质部位与牙齿表面强烈摩擦，易损伤牙釉质，故为了优先保护用户牙齿的健康，应大幅降低预推荐的震动频率和摆动幅度，如将预推荐的震动频率降低30％至50％，将预推荐的摆动幅度降低40至60％；对于使用天数超过90天的刷头，可确定刷头状况为废弃刷头，因而可大幅度降低预推荐的震动频率和摆动幅度，如将预推荐的震动频率和预推荐的摆动幅度均降低70％至100％，以防止废弃刷头对用户牙齿造成严重损伤。
如确定某一刷牙面的牙齿状况为牙菌斑、软垢累积牙齿，而刷头状况为处于0至30天内的刷毛完整状况的话，则可先形成较大的预推荐的震动频率和摆动幅度来与该刷牙面对应，随后在此基础上将预推荐的震动频率降低10％至20％，以此在第一刷牙方案中确定适宜的震动频率和摆动幅度来与该刷牙面对应，后续在用户刷至该刷牙面时，智能牙刷自动以该震动频率和摆动幅度来执行刷牙动作，从而达到清洁牙菌斑、软垢的目的；如确定某一刷牙面的牙齿状况为易磨损牙齿，而刷头状况为处于31至60天内的部分刷毛存在一定幅度变形和弯曲状况的话，则可先形成预推荐的震动频率和摆动幅度来与该刷牙面对应，随后在此基础上将预推荐的震动频率增加10％至20％，并将预推荐的摆动幅度降低10％至20％，以此在第一刷牙方案中确定适宜的震动频率与摆动幅度来与该刷牙面对应，后续在用户刷至该刷牙面时，所述智能牙刷能自动以该震动频率和摆动幅度来执行刷牙动作，从而避免对牙齿造成伤害。
可以理解的是，上述所述的刷头使用天数0至30天、31至60天、61至90天、90天以上的划分仅作示意性解释，不应理解为对本发明实施例的限制，本发明实施例中，当然也可根据牙刷的具体情况进行使用天数的具体划分。同时，震动频率和摆动幅度变化的10％至20％、30％至50％、40至60％、70％至100％也仅作示意性解释，本实施例中，当然可根据牙刷的具体情况进行具体设置。
优选地，本实施例中，在根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案之后，还包括：步骤j、接收所述用户对所述第一刷牙方案的第二选择操作，并根据所述第二选择操作判断所述第一刷牙方案是否被接受；步骤k、当所述第一刷牙方案被接受时，将所述第一刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
可以理解的是，当形成推荐的第一刷牙方案后，云端即会将所述第一刷牙方案推荐给用户，即会在用户APP的显示界面或者所述智能牙刷的显示界面中显示所述第一刷牙方案，并接收用户对所述第一刷牙方案的选择操作，若用户 选择接受或者立即使用所述第一刷牙方案的话，云端则进一步将所述第一刷牙方案推送至所述智能牙刷，以对所述智能牙刷中已有的刷牙方案进行刷牙参数的调整或修改，从而，使得用户后续刷牙过程中能以所述第一刷牙方案来执行刷牙动作，以达到清洁牙齿、避免牙齿损伤的目的。当然，若用户不接受所述第一刷牙方案的话，则不会对所述智能牙刷中已有的刷牙参数进行调整或修改，使其保留原来的刷牙方案来执行后续的刷牙动作。
为便于理解，根据图1所描述的实施例，下面以一个实际应用场景对本发明实施例一中一种基于人工智能的刷牙推荐方法确定初始刷牙方案进行描述：
图3示出了本发明实施例中一种基于人工智能的刷牙推荐方法在一个应用场景下确定初始刷牙方案的流程示意图。如图3所示，本场景下，所述刷牙推荐方法，还包括：
步骤S301、获取用户的个人信息，并根据所述个人信息确定所述用户所在的人群组别；
步骤S302、根据所述用户所在的人群组别及人群组别与预设刷牙方案的对应关系推荐匹配的初始刷牙方案；
步骤S303、接收用户对所述初始刷牙方案的第一选择操作；
步骤S304、根据所述第一选择操作判断所述初始刷牙方案是否被接受；
步骤S305、当所述初始刷牙方案被接受时，将所述初始刷牙方案推送至所述智能牙刷以进行刷牙参数的调整；
步骤S306、当所述初始刷牙方案未被接受时，将所述用户重新选择或者自定义的第二刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
可以理解的是，本实施例中所形成的第一刷牙方案是基于用户执行刷牙动作所产生的刷牙数据来确定的，因而，在获取用户执行刷牙动作所产生的刷牙数据之前，需要确定智能牙刷的初始刷牙方案，以使得用户可根据初始刷牙方案来执行刷牙动作，从而产生后续的刷牙数据。本实施例中，在用户初始使用智能牙刷执行刷牙动作之前，可根据用户选择的带有NFC标签的智能刷头来匹 配初始刷牙方案，当然，也可以根据收集的用户的个人信息来匹配初始刷牙方案及对应的智能刷头。本场景中，优选地，根据收集的用户的个人信息来推荐匹配的初始刷牙方案。
本实施例中，云端预先设置存储有多种不同的预设刷牙方案，而这些预设刷牙方案的刷牙参数包括刷牙时长、震动频率和摆动幅度，如早晨高效清洁方案所采用的刷牙时长为2分钟、震动频率为每分钟38000次、摆动幅度为5毫米至6毫米；又如首次使用清洁方案所采用的刷牙时长为2.5分钟、震动频率为每分钟35000次、摆动幅度为4毫米至5毫米；烟渍茶渍咖啡渍清洁方案所采用的刷牙时长为3分钟、前2分钟的震动频率为21000次至38000次循环渐变、前2分钟的摆动幅度为5毫米至6毫米、后一分钟的震动频率为每分钟35000次，摆动幅度为4毫米至5毫米。
可以理解的是，本实施例中，云端在预先设置这些预设刷牙方案时，即会对应的确定各个预设刷牙方案所适合的人群组别来与其形成预设对应关系，如可确定烟渍茶渍咖啡渍清洁方案适合的人群组别为抽烟人群、日常喝茶较多人群及日常喝咖啡较多人群，即将烟渍茶渍咖啡渍清洁方案与抽烟人群、日常喝茶较多人群及日常喝咖啡较多人群之间形成预设对应关系。
对于上述步骤S301，在用户选择用智能牙刷进行刷牙时，其可以通过对应的APP注册用户帐号，从而通过账号注册来获取用户的个人信息，如获取用户的性别、年龄、牙齿美白度、饮食习惯及牙齿健康状况等个人信息，在此，饮食习惯信息包括是否经常抽烟、喝茶、喝咖啡、喝碳酸饮料等信息，牙齿健康状况信息包括是否有正畸牙、蛀牙、牙龈炎、牙周炎、种植牙、洗牙等信息。当然，本实施例中，也可以通过用户添加的其他智能设备来获取用户的个人信息，还可以通过相关联的第三方应用的帐户信息来获取用户的个人信息。在获取用户的个人信息后，根据所述个人信息确定所述用户所在的人群组别。
即在确定用户的个人信息后，可根据所述个人信息来确定所述用户所在的人群组别，如用户有经常喝茶、喝咖啡等习惯的话，则可确定其所在的人群组 别为烟渍茶渍咖啡渍组；如用户有蛀牙、牙龈炎或牙周炎的话，则可确定其所在的人群组别为蛀牙牙龈炎牙周炎组；如用户有种牙的话，则可确定其所在的人群组别为种牙组；如用户为老人、儿童或牙龈易出血的话，则可确定其所在人群组别为柔和护龈组；如用户有假牙的话，则可确定其所在的人群组别为假牙组。
对于上述步骤S302，在根据用户的个人信息确定了用户所在的人群组别后，根据人群组别与预设刷牙方案的对应关系来推荐与所述用户所在的人群组别相匹配的初始刷牙方案，如烟渍茶渍咖啡渍组对应的预设刷牙方案为烟渍茶渍咖啡渍清洁方案，蛀牙牙龈炎牙周炎组对应的预设刷牙方案为蛀牙牙龈炎牙周炎清洁护理方案，柔和护龈组对应的预设刷牙方案为柔和清洁护龈方案，因而，当确定用户所在人群组别为烟渍茶渍咖啡渍组时，则匹配的初始刷牙方案为烟渍茶渍咖啡渍清洁方案；当确定用户所在人群组别为蛀牙牙龈炎牙周炎组时，则匹配的初始刷牙方案为蛀牙牙龈炎牙周炎清洁护理方案；当确定用户所在人群组别为柔和护龈组时，则匹配的初始刷牙方案为柔和清洁护龈方案。
可以理解的是，上述所举例的预设刷牙方案仅作示意性解释，不应理解为本发明实施例的限制，本发明实施例中，当然还可以包括其他各种预设刷牙方案，如包括早晨高效刷牙方案、睡前清洁方案、餐后快速清洁方案、首次使用清洁方案、标准清洁方案、强力清洁方案、超强清洁方案、亮白清洁方案、正畸清洁按摩方案、洗牙后/术后清洁护理方案、孕期特别清洁方案、种牙清洁方案、假牙清洁保养方案等等，并且各个预设刷牙方案均分别对应不同的人群组别。
可以理解的是，本实施例中，基于用户的个人信息获取的牙齿健康状况信息会自动存储保存，在根据获取的刷牙数据和刷头数据形成推荐的所述第一刷牙方案时，即会自动将牙齿健康状况考虑其中，如当获取的用户信息显示用户有蛀牙或者牙周炎时，即会自动标记保存蛀牙、牙周炎牙齿的位置。因而，在形成推荐的所述第一刷牙方案时，即会设置较小的震动频率和摆动幅度与该蛀 牙、牙周炎牙齿相对应的，使得后续刷牙过程中，其他区域仍按照正常的震动频率和摆动幅度来执行刷牙动作，而当刷至蛀牙、牙周炎牙齿时，则以较小的震动频率和摆动幅度来执行刷牙动作，也就是说，当刷至蛀牙、牙周炎牙齿时，所述智能牙刷即会自动降低震动频率和摆动幅度，以避免对该蛀牙、牙周炎牙齿造成进一步的伤害。
对于上述步骤S303至步骤S305，在根据用户的个人信息推荐匹配的初始刷牙方案后，云端即会将所述初始刷牙方案推荐给用户，即会在用户APP或者智能牙刷的显示界面中显示所述初始刷牙方案，此时需用户选择是否接受所述初始刷牙方案，若用户选择接受或者立即使用所述初始刷牙方案的话，云端则进一步将所述初始刷牙方案推送至所述智能牙刷，以对所述智能牙刷的刷牙参数进行设置与调整，后续用户使用所述智能牙刷进行刷牙时，所述智能牙刷即按照修改后的刷牙参数执行刷牙动作。
对于上述步骤S306，可以理解的是，若用户对所述初始刷牙方案不接受的话，则需用户从APP读取到的云端的全部刷牙方案中重新选择其所需要的刷牙方案，若全部刷牙方案中没有用户所需要的刷牙方案的话，用户也可以自定义其所需要的刷牙方案，重新选择或自定义完成后，将用户重新选择的刷牙方案或者自定义的刷牙方案推送至所述智能牙刷中，以对所述智能牙刷的刷牙参数进行设置与调整，后续用户使用所述智能牙刷刷牙时，所述智能牙刷即按照修改后的刷牙参数执行刷牙动作。
本实施例中，可将根据用户的个人信息所确定的初始刷牙方案及根据刷牙数据和刷头数据所推荐的第一刷牙方案与所述用户的用户帐号相关联。当用户更换智能牙刷，并将更换后的智能牙刷与所述用户帐号相关联时，可将所述第一刷牙方案或者将所述初始刷牙方案同步至新智能牙刷中。具体地，若所述用户的用户帐号中已关联有第一刷牙方案的话，则可将所述第一刷牙方案同步至所述新智能牙刷中，所述新智能牙刷则可直接根据所述第一刷牙方案来执行刷牙动作；若所述用户的用户帐号中并无关联的所述第一刷牙方案，但有关联的 所述初始刷牙方案时，则可将所述初始刷牙方案同步至所述新智能牙刷中，所述新智能牙刷则可直接根据所述初始刷牙方案来执行刷牙动作。
本发明实施例中，首先，获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；其次，对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙时长、刷牙力度、刷牙幅度和横刷情况，并对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；随后，根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。本发明实施例中，通过采集用户刷牙过程中的刷牙数据和刷头数据，并通过对采集的刷牙数据和刷头数据进行分析来形成适合该用户的刷牙方案推荐至该用户，以实现智能牙刷中刷牙方案的动态调整，从而满足不同用户的刷牙需求，提高智能牙刷的适用性。
应理解，上述实施例中各步骤的序号的大小并不意味着执行顺序的先后，各过程的执行顺序应以其功能和内在逻辑确定，而不应对本发明实施例的实施过程构成任何限定。
上面主要描述了一种基于人工智能的刷牙推荐方法，下面将对一种基于人工智能的刷牙推荐装置进行详细描述。
图4示出了本发明实施例二中一种基于人工智能的刷牙推荐装置一个实施例结构图。如图4所示，所述刷牙推荐装置，包括：
数据获取模块401，用于获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
刷牙数据分析模块402，用于对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
刷头数据分析模块403，用于对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
刷牙方案推荐模块404，用于根据所述刷牙时长、所述刷牙力度、所述刷 牙幅度、所述横刷情况和所述刷头数据形成推荐的第一刷牙方案。
进一步地，所述数据检测装置包括姿态传感器、压力传感器、NFC标签和标签读写装置；
相应地，所述数据获取模块401，具体用于获取所述姿态传感器输出的第一刷牙数据、所述压力传感器输出的第二刷牙数据以及通过所述标签读写装置读取的所述NFC标签采集到的刷头数据。
可选地，所述刷牙推荐装置，还包括：
人群组别确定模块，用于获取用户的个人信息，并根据所述个人信息确定所述用户所在的人群组别
初始方案匹配模块，用于根据所述用户所在的人群组别及人群组别与预设刷牙方案的对应关系推荐匹配的初始刷牙方案；
初始方案判断模块，用于接收用户对所述初始刷牙方案的第一选择操作，并根据所述第一选择操作判断所述初始刷牙方案是否被接受；
第一推送调整模块，用于当所述初始刷牙方案被接受时，将所述初始刷牙方案推送至所述智能牙刷以进行刷牙参数的调整；
第二推送调整模块，用于当所述初始刷牙方案未被接受时，将所述用户重新选择或者自定义的第二刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
优选地，所述刷牙数据包括三轴加速度传感器输出的三轴加速度和三轴陀螺仪输出的三轴角速度；
相应的，所述刷牙数据分析模块402，包括：
融合处理单元，用于将所述三轴加速度及所述三轴角速度进行融合处理，得到每一刷牙位置处的所述智能牙刷的滚动角度、俯仰角度及航向角度；
位置确定单元，用于根据所述滚动角度、俯仰角度及航向角度确定各个刷牙位置在预设牙齿分区中所对应的牙齿分区，其中，所述预设牙齿分区是指根据所有牙齿的分布情况预先划分的牙齿区域；
刷牙面确定单元，用于根据所述滚动角度确定各个刷牙位置在所述牙齿分区中对应的刷牙面。
进一步地，所述刷牙数据分析模块402，还包括：
总刷牙时长获取单元，用于统计所述智能牙刷在每一刷牙面上执行刷牙动作的总刷牙时长；
错误刷牙时长获取单元，用于获取在每一刷牙面上执行所述刷牙动作时所述智能牙刷的俯仰角度大于预设俯仰角度的错误刷牙时长；
刷牙时长获取单元，用于将所述总刷牙时长减去所述错误刷牙时长得到每一刷牙面的刷牙时长。
可选地，所述刷牙方案推荐模块404，具体包括：
牙齿状况确定单元，用于根据所述刷牙时长、所述刷牙力度、所述刷牙幅度和所述横刷情况确定每一刷牙面的牙齿状况；
刷牙方案推荐单元，用于根据每一刷牙面的牙齿状况和所述刷头状况形成推荐的第一刷牙方案。
优选地，所述刷牙推荐装置，还包括：
第一方案判断模块，用于接收所述用户对所述第一刷牙方案的第二选择操作，并根据所述第二选择操作判断所述第一刷牙方案是否被接受；
第三推送调整模块，用于当所述第一刷牙方案被接受时，将所述第一刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
图5是本发明实施例三提供的基于人工智能的刷牙推荐设备的示意图。如图5所示，该实施例的刷牙推荐设备500包括：处理器501、存储器502以及存储在所述存储器502中并可在所述处理器501上运行的计算机程序503，例如基于人工智能的刷牙推荐程序。所述处理器501执行所述计算机程序503时实现上述各个基于人工智能的刷牙推荐方法实施例中的步骤，例如图1所示的步骤S101至步骤S104。或者，所述处理器501执行所述计算机程序503时实现上述各装置实施例中各模块/单元的功能，例如图4所示的模块401至模块404 的功能。
示例性的，所述计算机程序503可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在所述存储器502中，并由所述处理器501执行，以完成本发明实施例。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机程序指令段，该指令段用于描述所述计算机程序503在所述刷牙推荐设备500中的执行过程。例如，所述计算机程序503可以被分割成数据获取模块、刷牙数据分析模块、刷头数据分析模块、刷牙方案推荐模块，各模块具体功能如下：
数据获取模块，用于获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
刷牙数据分析模块，用于对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
刷头数据分析模块，用于对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
刷牙方案推荐模块，用于根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
所述刷牙推荐设备500可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。所述刷牙推荐设备500可包括，但不仅限于，处理器501、存储器502。本领域技术人员可以理解，图5仅仅是刷牙推荐设备500的示例，并不构成对刷牙推荐设备500的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如所述刷牙推荐设备500还可以包括输入输出设备、网络接入设备、总线等。
所述处理器501可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列 (Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
所述存储器502可以是所述刷牙推荐设备500的内部存储单元，例如刷牙推荐设备500的硬盘或内存。所述存储器502也可以是所述刷牙推荐设备500的外部存储设备，例如所述刷牙推荐设备500上配备的插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)等。进一步地，所述存储器502还可以既包括所述刷牙推荐设备500的内部存储单元也包括外部存储设备。所述存储器502用于存储所述计算机程序503以及所述刷牙推荐设备500所需的其他程序和数据。所述存储器502还可以用于暂时地存储已经输出或者将要输出的数据。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述或记载的部分，可以参见其它实施例的相关描述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各实施例的模块、单元和/或方法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或 一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实现上述实施例方法中的全部或部分流程，也可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一计算机可读存储介质中，该计算机程序在被处理器执行时，可实现上述各个方法实施例的步骤。其中，所述计算机程序包括计算机程序代码，所述计算机程序代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述计算机可读介质可以包括：能够携带所述计算机程序代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，RandomAccess Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述计算机可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，计算机可读介质不包括电载波信号和电信信号。
以上所述，以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理 解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。

Claims (10)

  1. 一种基于人工智能的刷牙推荐方法，其特征在于，包括：
    获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
    对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
    对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
    根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
  2. 根据权利要求1所述的刷牙推荐方法，其特征在于，所述数据检测装置包括姿态传感器、压力传感器、NFC标签和标签读写装置；
    相应地，获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据，包括：
    获取所述姿态传感器输出的第一刷牙数据、所述压力传感器输出的第二刷牙数据以及通过所述标签读写装置读取的所述NFC标签采集到的刷头数据。
  3. 根据权利要求1所述的刷牙推荐方法，其特征在于，所述智能牙刷的刷牙推荐方法，还包括：
    获取用户的个人信息，并根据所述个人信息确定所述用户所在的人群组别；
    根据所述用户所在的人群组别及人群组别与预设刷牙方案的对应关系推荐匹配的初始刷牙方案；
    接收用户对所述初始刷牙方案的第一选择操作，并根据所述第一选择操作判断所述初始刷牙方案是否被接受；
    当所述初始刷牙方案被接受时，将所述初始刷牙方案推送至所述智能牙刷以进行刷牙参数的调整；
    当所述初始刷牙方案未被接受时，将所述用户重新选择或者自定义的第二刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
  4. 根据权利要求1所述的刷牙推荐方法，其特征在于，所述刷牙数据包括三轴加速度传感器输出的三轴加速度和三轴陀螺仪输出的三轴角速度；
    相应的，对所述刷牙数据进行分析，包括：
    将所述三轴加速度及所述三轴角速度进行融合处理，得到每一刷牙位置处的所述智能牙刷的滚动角度、俯仰角度及航向角度；
    根据所述滚动角度、俯仰角度及航向角度确定各个刷牙位置在预设牙齿分区中所对应的牙齿分区，其中，所述预设牙齿分区是指根据所有牙齿的分布情况预先划分的牙齿区域；
    根据所述滚动角度确定各个刷牙位置在所述牙齿分区中对应的刷牙面。
  5. 根据权利要求4所述的刷牙推荐方法，其特征在于，统计得到每一刷牙面的刷牙时长，包括：
    统计所述智能牙刷在每一刷牙面上执行刷牙动作的总刷牙时长；
    获取在每一刷牙面上执行所述刷牙动作时所述智能牙刷的俯仰角度大于预设俯仰角度的错误刷牙时长；
    将所述总刷牙时长减去所述错误刷牙时长得到每一刷牙面的刷牙时长。
  6. 根据权利要求1所述的刷牙推荐方法，其特征在于，所述根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案，具体包括：
    根据所述刷牙时长、所述刷牙力度、所述刷牙幅度和所述横刷情况确定每一刷牙面的牙齿状况；
    根据每一刷牙面的牙齿状况和所述刷头状况形成推荐的第一刷牙方案。
  7. 根据权利要求1至6中任一项所述的刷牙推荐方法，其特征在于，在根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案之后，包括：
    接收所述用户对所述第一刷牙方案的第二选择操作，并根据所述第二选择操作判断所述第一刷牙方案是否被接受；
    当所述第一刷牙方案被接受时，将所述第一刷牙方案推送至所述智能牙刷以进行刷牙参数的调整。
  8. 一种基于人工智能的刷牙推荐装置，其特征在于，包括：
    数据获取模块，用于获取智能牙刷中数据检测装置检测到的刷牙数据和刷头数据；
    刷牙数据分析模块，用于对所述刷牙数据进行分析，统计得到每一刷牙面的刷牙状况，其中，所述刷牙状况包括刷牙时长、刷牙力度、刷牙幅度和横刷情况；
    刷头数据分析模块，用于对所述刷头数据进行分析，得到所述智能牙刷的刷头状况；
    刷牙方案推荐模块，用于根据所述刷牙时长、所述刷牙力度、所述刷牙幅度、所述横刷情况和所述刷头状况形成推荐的第一刷牙方案。
  9. 一种基于人工智能的刷牙推荐设备，包括存储器、处理器以及存储在所述存储器中并可在所述处理器上运行的计算机程序，其特征在于，所述处理器执行所述计算机程序时实现如权利要求1至7中任一项所述基于人工智能的刷牙推荐方法的步骤。
  10. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机程序，其特征在于，所述计算机程序被处理器执行时实现如权利要求1至7中任一项所述基于人工智能的刷牙推荐方法的步骤。
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