Handheld intelligent physiotherapy instrument

Abstract

The invention relates to a handheld intelligent physiotherapy instrument, which comprises a handheld shell, a physiotherapy head, a switch / mode key, a charging hole, a mode display, a charging display, a pinhole camera, a battery in the handheld shell, a wireless communication module, a wireless communication module and a power supply module, the handheld intelligent physiotherapy instrument comprises a handheld shell, a massage head arranged on the handheld shell, a touch sensing part coupled to the massage head and a mechanical skin pulling mechanism arranged on a physiotherapy head on the periphery of the massage head, and further comprises a high-definition camera module used for collecting human faces and provided with an auxiliary shell extending out of one side of the handheld shell and provided with a high-definition touch screen. By introducing the high-definition camera module, operation can be facilitated, user-defined wrinkle calibration is carried out, the severity of wrinkles is intelligently recognized, and the problems of high-precision recognition memory and severity judgment of wrinkle parts are solved.

Description

Technical Field

[0001] The invention relates to a physiotherapy instrument, in particular to a handheld intelligent physiotherapy instrument, and belongs to the field of beauty therapy. Background Art

[0002] When it comes to the five major functions of cleansing, nourishing, lifting and firming, eye care, and blue light calming, existing beauty devices often only provide approximate action time and frequency in the instruction manual, as well as recommended action time and frequency for different skin types. The control of these parameters is left to the user to actively choose according to their skin type.

[0003] On the other hand, before the first four functions take effect, users need to apply additional therapeutic agents, including cleansers, nourishers, firming agents, care agents, etc. The current user experience cannot meet the needs of people with an increasingly fast pace of life for fast and convenient products.

[0004] Third, for the skin tightening function, the tightening effect is produced by the coordinated effect of vibration + electric pulse stimulation on the loose skin. However, this effect will make users who use it for the first time doubt its actual effect psychologically. Because according to actual experience, when users find that their skin is loose or wrinkled, they always like to pull their skin unconsciously with their hands in front of the mirror. In fact, they expect this external pulling mechanical effect to more or less play a temporary recovery state of the skin that they think it should. Although this is just a subconscious action, it reflects the user or potential user's recognition of the external pulling mechanical effect on the auxiliary effect of tightening, regardless of whether this effect is actually futile. In addition, habitual facial expressions, such as frowning, grinning, sadness, tension, etc., are considered to be a common reason for the corresponding facial wrinkles, so a reverse effect is expected to make the skin less wrinkled. At this time, the external mechanical effect is more in line with the actual expectations of users.

[0005] Fourth, after the user determines the action site, some users may forget the exact skin site where the tightening was done last time because of the need for long-term and repeated action; some users can only remember the approximate location, and when they confirm the site next time, they still need to observe in the mirror, which takes extra time to find the exact site. Existing handheld physiotherapy devices cannot intelligently find the exact site, which brings about new intelligent positioning technology issues for tightening sites.

[0006] Therefore, how to enable beauty devices to proactively make judgments, facilitate physical treatments, and introduce external mechanical effects are the three major technical issues facing product developers. Summary of the invention

[0007] In the face of the above four major topics, the present invention considers the following three aspects: first, the parameters of the five major functions are refined, and the personalized parameters required for one of the five major functions selected by the user are intelligently identified through machine learning based on face skin recognition; second, the automatic application scheme of the randomly matched pre-action physiotherapy solution is considered; third, a mechanical face-lifting mechanism is designed, which is an external mechanical auxiliary function intervened when executing the five major functions, to realize a multiple-repetition physiotherapy scheme of external mechanical action + electric pulse + optical action; fourth, a high-definition shooting function is set on the physiotherapy device, and the computing power of the smart chip is enhanced.

[0008] In view of the above considerations, an object of the present invention is to provide a handheld intelligent physiotherapy instrument, comprising a handheld shell, a physiotherapy head, a switch / mode button, a charging port, a mode display and a charging display, a pinhole camera for collecting skin images of a human face, and a battery in the handheld shell, wherein the physiotherapy head comprises a massage head that can perform vibration and / or MFIP effects and a phototherapy care source that can emit amber light, red light, crimson light, and blue light, the mode display comprises a display of cyclic switching of five major functions of cleaning, nourishing, lifting and firming, eye care, and blue light calming in sequence by short pressing the switch / mode button, characterized in that the physiotherapy head also comprises a touch sensing part coupled to the massage head and a mechanical skin-lifting mechanism arranged on the physiotherapy head outside the massage head, the touch sensing part automatically or manually starts the mechanical skin-lifting mechanism according to the facial skin contacting the massage head, so as to achieve a multi-directional extension effect on the skin level simultaneously with the physiotherapy;

[0009] The handheld intelligent physiotherapy instrument also includes a high-definition camera module for capturing human faces, and has a sub-shell with a high-definition touch screen extending from one side of the handheld shell. A gripping finger groove is provided between the sub-shell and the handheld shell on the extended side to facilitate holding to operate the high-definition touch screen and perform physiotherapy. When the high-definition camera module is started, a real-time facial image appears on the high-definition touch screen. At this time, the holding hand does not move, and the other hand can zoom in on the real-time facial image, circle the wrinkle area, and confirm to save it. When the next facelift is performed, the high-definition camera module recognizes the current real-time facial image through the face recognition function in the smart chip, and calls out the saved facial image of the circled wrinkle area to indicate the circled area of ​​the user for the required facelift.

[0010] A plurality of physiotherapy agent discharge holes are arranged on the side of the physiotherapy head away from the mechanical facelift mechanism, and the physiotherapy agent discharge holes are connected with a plurality of physiotherapy agent containing chambers inside the handheld shell through a conduit. Each of the plurality of physiotherapy agent containing chambers can be pushed by a piston push rod to squeeze out the physiotherapy agent contained in the physiotherapy agent containing chamber. A push portion arranged at one end of the piston push rod protrudes from a guide groove on the outer surface of the handheld shell. When the push portion is moved along the guide groove, the corresponding physiotherapy agent can be discharged from the physiotherapy agent containing chamber, discharged from the corresponding physiotherapy agent discharge hole through the conduit and applied to the finger or the face to be treated, and then applied by means of the finger or the side of the physiotherapy head respectively; protective caps are arranged on the plurality of physiotherapy agent discharge holes, so that the protective caps can be covered when not in use to prevent the physiotherapy agent components from volatilizing and / or deteriorating; the piston push rod can be pulled out by disassembling the handheld shell to add the corresponding physiotherapy agent into the physiotherapy agent containing chamber;

[0011] The smart chip arranged inside the handheld housing is used to set parameters based on smart settings according to the skin image acquisition and one of the functions of cleaning, nourishing, lifting and firming, eye care, and blue light calming selected by the user, so that after the parameter setting is completed and the physiotherapy agent is applied, the mechanical skin-lifting mechanism is automatically or manually started by the contact between the touch sensing part and the facial skin, and the physiotherapy of the selected function is performed; when the facial skin or the skin of any other part contacts the touch sensing part and then leaves the touch sensing part to present a non-contact state, the mechanical skin-lifting mechanism is reversely moved and the physiotherapy of the selected function is automatically suspended. At this time, the user can forcibly press the switch / mode button for 2-3 seconds to terminate the physiotherapy and enter the mode of reselecting the function, and press the switch / mode button twice in succession to confirm the selected function; or press the switch / mode button for 4-5 seconds to shut down the handheld smart physiotherapy instrument.

[0012] And the age input part, the age input part button or voice input mode, for the button input mode, that is, cyclic switching among multiple age groups (the current switched age group can be displayed in the manual gear shift panel), when selected, long press the age input part button for 1-2 seconds to confirm; for the voice input mode, voice input can be performed multiple times and the most recent voice input is cyclically overwritten until no voice input is received within 2-5 seconds;

[0013] Preferably, the pause time of the physiotherapy that automatically pauses the execution of the selected function is included in the compensation time after the next contact for physiotherapy, and the compensation time is not more than 1 minute.

[0014] It is understandable that if the contact again is with a non-therapy area or any other object, the user is generally likely to move away immediately or move away due to a change of therapy area. This is equivalent to pausing again, and the time lost in therapy due to incorrect contact or the time incurred during the change of area is also included in the compensation time, thereby avoiding as much as possible the shortening of therapy time due to incorrect contact.

[0015] Preferably, the handheld shell includes a detachable front part and a rear part based on a partition, and the partition divides the space enclosed by the installed front part and the rear part into a front cavity and a rear cavity that are independently sealed from each other, and the rear cavity accommodates the multiple therapeutic agent accommodating cavities, the corresponding piston push rods, part of the push part, and at least part of the catheter, and the therapeutic agent discharge hole is located on the side of the therapeutic head opposite to the mechanical facelift mechanism; the front cavity is used to accommodate the battery and the smart chip in the handheld shell; the switch / mode button, mode display and charging display are located at the front, and the charging hole is arranged at the bottom of the front cavity at one end belonging to the front.

[0016] Preferably, the plurality of therapeutic agent containing chambers are detachably fixed on the partition.

[0017] Optionally, in one embodiment, the mechanical facelift mechanism includes a back plate fixed to the therapy head and having a center column, a slave gear sleeved on the center column of the back plate, a main gear meshing with the slave gear, a motor accommodated in the internal cavity of the therapy head and connected to the main gear via a reducer or directly connected to the main gear, and a plurality of push heads, wherein the central hole of the main gear is connected to the reducer shaft through a through hole on the back plate, the slave gear has a plurality of rotary grooves the same in number as the push heads, the push head has a push rod, the push rod can be slidably embedded in the slide groove of the back plate, one end of the push rod has a convex rod passing through the rotary groove, and when the motor drives the When the main gear rotates clockwise or counterclockwise, the convex rod is driven by the rotation of the slave gear to slide in the rotation groove, thereby pushing the pusher head rods of the multiple pusher heads radially outward in the slide groove to make the multiple pusher heads open. Thereafter, at any time when the motor drives the main gear to rotate in the opposite direction, the pusher head rod moves radially inward in the slide groove to make the multiple pusher heads converge in the opposite direction, thereby achieving external auxiliary pulling effect on the skin. The motor is communicatively connected to the smart chip, and the back plate has at least one wire hole between the pusher head rods for passing the components and / or wires of the touch sensing part, massage head, and light therapy care source through so as to communicate with the smart chip.

[0018] Optionally, the motor is a stepper motor.

[0019] In another embodiment, the mechanical facelift mechanism includes a facelift scissors, the front end of which has a pair of push arcs arranged on the side where the massage head is located and can be pressed against the skin, and the rear end handle passes through the internal cavity of the therapy head and out of the outer shell of the therapy head so that the hand can hold it and press the handle relative to perform a shearing operation. After the skin is pressed, the handle is released to achieve a skin tightening operation, thereby achieving reverse push-pull and tightening of the skin under the compression state by the front end push arc. The part of the therapy head that is penetrated forms a pair of guide grooves to guide the handle to perform the shearing operation and the skin tightening operation. At this time, when the user chooses to push the push part, the therapeutic agent will be discharged from the therapeutic agent discharge hole and applied to the fingers or other application materials (such as cotton pads, etc.) to apply the therapeutic agent to the treatment area.

[0020] Optionally, the intelligent setting method comprises the following steps:

[0021] S1 set up five test groups: cleaning group, nourishing group, lifting and firming group, eye care group, and blue light calming group. Each test group was divided into six groups: 18-24 years old, 25-35 years old, 35-45 years old, 45-60 years old, 60-75 years old, and over 75 years old. Each group was set up with a training set, a validation set, and a test set, and the ratio of the three was 5-3:1-2:1. All subjects followed the preset work and rest routine for 1-3 months. The work and rest schedule is to get up at 7:30 am for those aged 18-24, 7 am for those aged 25-35, 7 am for those aged 35-45, 6:30 am for those aged 45-60, 6 am for those aged 60-75, and 6 am for those aged 75 and above. All test groups go to bed between 10-11 pm. Three meals a day, breakfast, lunch, and dinner, start within 30 minutes after getting up, between 11:30-12:30, and between 17:30-18:30 respectively.

[0022] The five experimental groups in S2 were trained with the following parameters for the artificial intelligence model:

[0023] Cleaning group, low frequency vibration low, medium and high three gears, amber light intensity low, medium and high three gears, total cleaning time under warm effect 4min, seven parameters,

[0024] Nourishing group, high-frequency vibration low, medium, high three gears, red light intensity low, medium, high three gears, total nourishing time under warming effect 4min, seven parameters,

[0025] Lifting and firming group, low frequency vibration low, medium and high three gears, high frequency vibration low, medium and high three gears, MFIP pulse frequency high, medium and low three gears, pulse intensity high, medium and low three gears, deep red light intensity, amber light intensity, total lifting and firming time under warm effect 4min, fifteen parameters,

[0026] Eye care group, MFIP pulse frequency high, medium and low three gears, pulse intensity high, medium and low three gears, low frequency vibration low, medium and high three gears, high frequency vibration low, medium and high three gears, high and low frequency vibration interval, total eye care time under warming effect 4min, fourteen parameters,

[0027] Blue light calms, blue light intensity, ice compress effect is to cool down the massage head for 4 minutes, one parameter;

[0028] When S3 is turned on, it uses a pinhole camera to collect images of the face to be treated, and identifies whether it is sensitive skin according to the pre-set sensitive skin recognition model (i.e., based on facial features such as burn scars, bloodshot eyes, and blush in the collected images). If so, the action time of all groups is halved, and the training sets of each group are subjected to a cross-test scheme for parameter selection of the five major functional therapies, and the top N parameter configurations (N≤5) are obtained through overall evaluation, and the top three classification scores of the treatment results of each parameter configuration are taken; the corresponding collected images are input into the corresponding artificial intelligence model for training, and the accuracy is verified using the validation set, and the network parameters of the model are adjusted using the loss function until the accuracy and loss function values ​​are stable, and the training is stopped, thereby obtaining the classification of the top three scores of each parameter configuration score of each functional therapies under each group as good, medium, and poor (i.e., based on the three scores The parameters are divided into three levels from the highest to the relatively lowest); the middle parameter configuration corresponding to each parameter configuration of the corresponding functional therapy under the group is randomly selected, and the parameter configuration with the highest score among the middle parameter configurations of N parameter configurations is compared as the best parameter configuration of the corresponding functional therapy under the group; if there are multiple highest scores that are the same, one of the parameter configurations is randomly selected as the best parameter configuration of the corresponding functional therapy under the group; S4 inputs the age of the subject in the test set, and uses a pinhole camera to collect images of the subject's face to be treated, and inputs the collected images into the corresponding trained artificial intelligence model to obtain five groups of best parameter configurations predicted under each functional therapy, so as to select the corresponding best parameter configuration according to the function selected by the subject for treatment preparation, and perform treatment according to the contact of the subject's face to be treated with the tactile sensor.

[0029] Through the cross-test in the early stage of training, obviously inappropriate parameter configurations for each age group were eliminated, so that the parameter configurations of the top N in training were concentrated. Considering the accuracy of training, there was an additional step to randomly select the intermediate parameters between good and medium as a compensation solution with a certain probability of simulation prediction deviation. Because one of the good and medium must be the potential best parameter configuration solution, if the model prediction is wrong, then the medium is the best choice. When the model estimation is correct, even if the medium is finally selected, the probability of producing undesirable results is relatively low. Finally, the highest score among all parameter configurations is used as the best parameter configuration for the corresponding function under this group.

[0030] Optionally, the therapeutic agents corresponding to cleansing, nourishing, lifting and firming, and eye care are makeup removers; the corresponding therapeutic agents are at least one of toner, lotion, face cream, essential oil, and facial mask; the corresponding therapeutic agents are at least one of gel, viscous essence, and firming essence; eye cream.

[0031] Preferably, the artificial intelligence model is a convolutional neural network CNN, or a ResNet based on a residual mechanism.

[0032] Optionally, the handheld intelligent physiotherapy device also includes a gear button arranged on the front, which is used to set the frequency and intensity of electric pulses, and / or the vibration frequency, and / or the intensity of light emitted by the phototherapy care source, and / or the rotation angle of the motor; the mode display also includes a manual gear adjustment panel, which is used to switch the display between the adjustment modes of electric pulses, the intensity of light emitted by the phototherapy care source, and the rotation angle of the motor by pressing the switch / mode button for 1-2 seconds multiple times, and then use the gear button to select the gear, and finally press the switch / mode button again to successfully set it.

[0033] Preferably, the therapy head is also provided with a microphone for receiving voice control sounds, and the front part also includes at least one sound outlet hole for voice prompts to issue age input prompts, respond to user voice commands, user operations, and voice prompts for function execution status.

[0034] Preferably, there are two switch / mode buttons and one of them is a spare button. The user can select one of them for operation at any time when the device is turned on. When one of the buttons fails, the spare button can still be used for operation.

[0035] Preferably, the mode display and charging display can be displayed on the high-definition touch screen, the switch / mode button, the front gear button, the standby button, and the age input button all form touch buttons on the high-definition touch screen, and a face image acquisition button is provided on the high-definition touch screen; the smart chip also calls a pre-trained wrinkle recognition model to perform identification marking on a face image collected by the user pressing the face image acquisition button.

[0036] Optionally, the wrinkle recognition model is a convolutional neural network model with a residual mechanism, and the training method is to obtain volunteers of different age groups, and for each age group, take photos of multiple different parts that the volunteers themselves identify as needing facelifts, and divide the unacceptable degree of wrinkles into three levels: negligible, non-negligible, and deep processing according to the volunteers' own identification, and use the high-definition camera module to collect multiple high-definition images of the three levels of parts for different age groups for each part, and divide the multiple high-definition images of the parts into training sets and verification sets according to different parts, and form a sub-set with a residual mechanism for each part. The convolutional neural network is trained using the training set, and the loss function is calculated to optimize the model parameters. The model accuracy is verified using the validation set to obtain the final wrinkle recognition model. During recognition, the user selects his or her own age group and clicks on the desired face-lifting area on the collected facial image, so that the smart chip can take a screenshot and enlarge the image area. Alternatively, the user can use the high-definition touch screen to import a saved face image with the wrinkle area circled by the user, click on the desired face-lifting area on the collected facial image, and input the information into the sub-convolutional neural network with a residual mechanism corresponding to the trained corresponding area, so as to finally obtain the classification level of wrinkle recognition for each age group, which can be displayed on the high-definition touch screen.

[0037] Preferably, both sides of the auxiliary housing have interfaces electrically connected to the handheld housing, and when one side is connected to the handheld housing, the high-definition touch screen is turned on, thereby realizing the usage habits of left-handed and right-handed people.

[0038] Preferably, the high-definition touch screen is independently powered by a battery in the sub-shell, and a sub-shell battery charging port is provided on the sub-shell. When the electrical connection is disconnected, the captured facial image can still be enlarged.

[0039] Another object of the present invention is to provide a facial skin physiotherapy method using the handheld intelligent physiotherapy device provided by the present invention, which is characterized by comprising the following steps:

[0040] (1) Turn on the device and input age, then face the pinhole camera to collect images and complete parameter setting based on intelligent settings;

[0041] (2) Select the therapy function by using the switch / mode button;

[0042] (3) discharging the corresponding physiotherapy agent through the physiotherapy agent discharge hole to act on the facial skin to be treated;

[0043] (4) contacting the facial skin to be treated with the therapeutic agent in step (3) with the touch sensitive part to perform the selected therapeutic function; or,

[0044] After powering on, start directly from step (2) by using the switch / mode button to wake up the manual gear adjustment panel; then long press the switch / mode button to select manual adjustment of the electric pulse frequency and intensity, and / or the vibration frequency, and / or the intensity of the light emitted by the phototherapy care source, and / or the rotation angle of the motor, use the gear button to select the gear, and finally long press the switch / mode button again to successfully set;

[0045] Preferably, when image acquisition fails, a voice prompt of image acquisition failure can be given through the sound outlet every 3-5 seconds until the user successfully acquires the image, or the manual adjustment panel is awakened to enter the next step or prompted to enter the manual adjustment parameter mode and then perform steps (3) and (4) in sequence.

[0046] The present invention also includes a wrinkle tightening treatment method based on the above-mentioned handheld intelligent physiotherapy instrument, which specifically includes starting the high-definition touch screen on the sub-shell, facing the high-definition camera module to collect real-time high-definition images of the user, manually amplifying the real-time face image, circling the wrinkle area, and confirming to save. When the face is lifted next time, the high-definition camera module recognizes the current real-time face image through the face recognition function in the smart chip, and prompts on the high-definition touch screen whether to call out the saved face image of the circled wrinkle area. When "yes" is selected, it is asked again whether the recognition model is needed. When "not needed" is selected, the user's desired face lift area is indicated on the called displayed image; when "needed" is selected, the wrinkle recognition model step is entered; when "no" is selected, the wrinkle recognition model step is also entered. Wrinkle recognition model step, when entering the wrinkle recognition model step, press the face image acquisition button to collect a face image, call the pre-trained wrinkle recognition model to perform recognition marking on the face image, during specific recognition, the user first selects his own age group, clicks on the desired face-lifting part on the collected face image, and the smart chip can take a screenshot to enlarge the image part, or the user imports the saved face image of the circled wrinkle part through the high-definition touch screen operation, clicks on the desired face-lifting part on the collected face image, and inputs the sub-convolutional neural network with residual mechanism corresponding to the trained corresponding part, so as to finally obtain the classification level of wrinkle recognition in each age group, and the user determines the type, dosage and tightening time of the physiotherapy agent according to the classification level.

[0047] Beneficial Effects

[0048] (1) By introducing a physiotherapy agent cavity into the housing and using the physiotherapy head as an application and physiotherapy agent outlet, the preparation of the physiotherapy agent is facilitated;

[0049] (2) Using a mechanical face-lift mechanism can produce additional mechanical skin tensioning during physical therapy, making it easier to achieve good physical therapy results;

[0050] (3) Using artificial intelligence algorithms, image acquisition is used to identify skin type and appropriate treatment parameters, and a customized treatment plan is implemented for the user's skin;

[0051] (4) The addition of voice control provides a better user experience for the beauty device, making it easier for users to operate it and obtain prompt information related to the operation and treatment status.

[0052] (5) By collecting the user's real-time facial image and the precise parts around the user's customized calibration, after targeted facial recognition during use, the user's calibration record is called, thereby better and more conveniently solving the problem of forgetting or inaccurate memory of face lifting. At the same time, considering dividing volunteers into different age groups, the labels of the training set are defined according to the different levels of wrinkle treatment by each volunteer, which is more in line with the actual treatment needs of users of different age groups. For example, the younger the volunteers, the more likely they are to define fine wrinkles as a higher severity level in a statistical sense, while the older volunteers are more likely to focus on defining obvious wrinkles as a high severity level, and fine wrinkles can be treated or not. The wrinkle recognition model trained in this way can better perform face lifting and targeted beauty treatments based on the consensus of users of different ages. Finally, by selecting a wrinkle recognition scheme that imports images, it can be applied to some users who prepare for treatment in advance and do not know the severity of their own wrinkles, which is of guiding significance.

[0053] (6) A detachable external interface is used to connect the handheld housing to a high-definition touch screen, all physical therapy function operations and displays are integrated on the touch screen, and the touch screen is used to display the collected real-time facial images. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1a A front view schematic diagram of the overall structure of the handheld intelligent physiotherapy device according to Embodiment 1 of the present invention; Figure 1b is a rear view of the handheld intelligent physiotherapy of Embodiment 1 of the present invention with the rear part of the handheld housing removed; Figure 1c for Figure 1a A side sectional view of the central axis of the Figure 1d It is a schematic diagram of the high-definition touch screen being powered on and lit up after the secondary housing is electrically connected to the handheld housing from the left side;

[0055] Figure 2af schematic diagrams of the structure of the physiotherapy head of embodiment 2 of the present invention, wherein a is a front view, b is a rear view, c is a side sectional view of the central axis in a, d is a first embodiment of the mechanical face-lifting mechanism, e shows a side sectional view of the second embodiment of the mechanical face-lifting mechanism, f is a schematic diagram of the arc pushing structure and the opening direction of the second embodiment of the mechanical face-lifting mechanism,

[0056] Figure 3 Flow chart of the key switching method of the handheld intelligent physiotherapy device in embodiment 3 of the present invention,

[0057] Figure 4 A simplified flowchart of the intelligent setting method in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0058] Example 1

[0059] This embodiment will explain the overall structure of the handheld intelligent physiotherapy instrument. Figure 1a The figure includes a therapy head, a front part and a rear part of a hand-held housing that can be detachably mounted based on a partition ( Figure 1c ), the front and rear parts form independently sealed front and rear cavities with the partition respectively, the front part includes a cleaning mode display including five major function displays of cleaning, nourishing, lifting and firming, eye care, and blue light calming, and a manual gear adjustment panel, a switch / mode button (including spare), a gear button for setting the frequency and intensity of electric pulses, and / or the vibration frequency, and / or the intensity of the light emitted by the phototherapy care source, and / or the rotation angle of the motor, a charging display (for indicating the charging status (flashing during charging, always on when fully charged) Figure 1a ),as well as( Figure 1a , 1c) A TPYE-C charging port is provided on the front portion of the bottom of the front cavity for charging the battery in the handheld housing in the front cavity, and the front cavity also contains a smart chip fixedly connected to the partition.

[0060] The manual gear adjustment panel is used to switch and display the adjustment modes among the electric pulses, the intensity of light emitted by the phototherapy care source, and the rotation angle of the motor by pressing the switch / mode button for 1-2 seconds multiple times, and then use the gear button to select the gear, and finally long press the switch / mode button again to successfully set it.

[0061] The front part is also provided with two sound holes for voice prompts, which can issue age input prompts, respond to user voice commands, user operations, and function execution status (including the name of the current therapy function or manual gear adjustment when the user switches functions, executing, terminating therapy, shutting down and welcoming again, etc.). A microphone is provided on one side of the therapy head close to the front part for receiving voice control sounds ( Figure 1aThe front part is also provided with a pinhole camera for collecting facial images, for building a sensitive skin recognition model (obtained by training a neural network model through image collection and real skin type) and an intelligent setting method.

[0062] like Figure 1a As shown, the handheld intelligent physiotherapy instrument also includes a high-definition camera module provided on the handheld housing for capturing human faces, and a sub-housing with a high-definition touch screen extending from the left and right sides of the handheld housing. There is a gripping finger groove between the sub-housing and the extended left handheld housing indicated in the figure, so as to facilitate holding and operating the high-definition touch screen after completing the electrical connection in the direction of the arrow in the figure. The sub-housing has a pair of upper and lower interfaces, and a pair on each side, which can be electrically connected to the handheld housing respectively. The high-definition touch screen independently adopts a battery in the sub-housing ( Figure 1a ) is powered, and a battery charging port (not shown) is provided on the auxiliary housing. Figure 1a When the electrical connection is disconnected, the acquired face image can still be enlarged (for example Figure 1d Magnified area shown).

[0063] Figure 1a As shown in , a pair of interfaces on the left side of the auxiliary housing can also be electrically connected to the right side of the handheld housing, which is also friendly to users who are accustomed to left-handed touch.

[0064] After the electrical connection is completed, click Figure 1d The high-definition camera module starts up by pressing the middle switch button, and a real-time face image appears on the high-definition touch screen. At this time, the holding hand does not move, and the other hand can zoom in on the real-time face image, circle the wrinkle area, and confirm to save. When the next facelift is performed, the high-definition camera module recognizes the current real-time face image (such as Figure 1d ), and prompts on the high-definition touch screen ( Figure 1d (not shown) whether to call out the saved face image of the circled wrinkle area. When "yes" is selected, it is asked again whether the wrinkle recognition model is needed. When "no" is selected, the user is indicated on the image that is called and displayed where the face lift is needed, such as the forehead wrinkles of the enlarged forehead, the crow's feet of the right eye, and the nasolabial folds of the mouth. When "yes" is selected, the wrinkle recognition model step is entered; when "no" is selected, the wrinkle recognition model step is also entered.

[0065] For example Figure 1dAs shown, the mode display and charging display can be displayed on the high-definition touch screen, the switch / mode button, the front gear button, the standby button, and the age input button all form touch buttons on the high-definition touch screen, and a face image acquisition button is provided on the high-definition touch screen; the smart chip also calls a pre-trained wrinkle recognition model to perform recognition marking on a face image based on a face image captured by the user pressing the face image acquisition button in the figure.

[0066] like Figure 1d As shown, the wrinkle recognition model is a convolutional neural network model with a residual mechanism. The training method is to obtain volunteers of different age groups, and for each age group, take photos of multiple different parts that the volunteers themselves identify as needing facelifts, and divide the unacceptable degree of wrinkles into three levels: negligible, non-negligible, and deep processing according to the volunteers' own identification. The high-definition camera module is used to collect multiple high-definition images of the three levels of different age groups for each part (which can be obtained by automatically capturing and enlarging the intelligent chip), and the multiple high-definition images of the parts are divided into training sets and verification sets according to different parts. A sub-convolutional neural network with a residual mechanism is formed for each part. The training set is used for training, the loss function is calculated to optimize the model parameters, and the validation set is used to verify the model accuracy to obtain the final wrinkle recognition model. During recognition, the user selects his or her own age group and clicks on the desired face-lifting area on the collected facial image, so that the smart chip can take a screenshot and enlarge the image area. Alternatively, the user can use the high-definition touch screen to import a saved face image of the circled wrinkle area, click on the desired face-lifting area on the collected facial image, and input the information into the sub-convolutional neural network with a residual mechanism corresponding to the trained corresponding area, so as to finally obtain the classification level of wrinkle recognition in each age group, and display the classification level on the display screen. The user can then determine the type, dosage, and tightening time of the therapeutic agent based on the classification level.

[0067] In this way, for the program that chooses to import images, users can obtain the severity level of wrinkles in various parts of their body based on the consensus of their age group. It is especially suitable for users who do not pay much attention to their wrinkles, and occasionally prepare for physical treatment in advance to meet the needs of certain occasions, or for users who are not clear about the severity of wrinkles in various parts of their body.

[0068] Among them, volunteers of different age groups are divided into six groups in this embodiment and embodiment 4: 18-24 years old, 25-35 years old, 35-45 years old, 45-60 years old, 60-75 years old, and over 75 years old.

[0069] like Figure 1b and 1cThe rear cavity contains four physiotherapy agent containing chambers which are detachably fixed on the partition, each of which has a piston push rod inside, and the end of the piston push rod away from the piston is provided with a push portion ( Figure 1c The four physiotherapy agent receiving chamber outlets are respectively connected to the catheter, which extends through the rear cavity to the inner cavity of the physiotherapy head and is connected to the four physiotherapy agent discharge holes provided on the outer shell of the physiotherapy head.

[0070] The four physiotherapy agent discharge holes are located on the side of the outer shell of the physiotherapy head closer to the rear cavity in the front cavity and the rear cavity, and are arranged in sequence at the middle position of the horizontal diameter of the physiotherapy head ( Figure 1b The rear portion is provided with a guide groove (not shown). When the push portion is moved along the guide groove, the corresponding physiotherapy agents in the four physiotherapy agent receiving chambers are discharged from the physiotherapy agent receiving chambers, and are discharged from the physiotherapy agent discharge holes through the catheter. The physiotherapy agent discharge holes are sealed by protective caps ( Figure 1c ) to prevent the therapeutic agent from volatilizing or deteriorating.

[0071] Figure 1b In the method, after the piston push rod is pulled out from the therapeutic agent receiving chamber, or after the therapeutic agent receiving chamber is removed first and then the piston push rod is pulled out, the therapeutic agent can be added to each therapeutic agent receiving chamber under the premise that the protective cap is closed and the catheter is connected.

[0072] From left to right, the four therapeutic agent storage chambers store makeup remover, essential oil, gel, and eye cream for cleaning, nourishing, lifting and firming, eye care, and preliminary application of therapeutic agents.

[0073] Example 2

[0074] This embodiment will explain in detail the structure of the physiotherapy head in Embodiment 1. Figure 2 The physiotherapy head shown in the figure includes a massage head, a touch sensing part coupled to the center of the massage head, and a light therapy care source between the center of the massage head and the peripheral massage head that can emit amber light, red light, crimson light, and blue light. A mechanical facelift mechanism ( Figure 2 a). Figure 2 As shown in b, four therapeutic agent discharge holes of Example 1 are arranged on the other side of the therapeutic head opposite to the massage head. The face lifting mechanism can be as follows Figure 2 c and 2d, including a back plate ( Figure 2 c), a slave gear sleeved on the central column of the back plate, a master gear meshed with the slave gear, a motor connected to the master gear through a reducer and accommodated in the inner cavity of the physiotherapy head, and a plurality of push heads ( Figure 2 d).

[0075] The central hole of the main gear is connected to the reducer shaft through the through hole on the back plate, and the slave gear has 6 rotating grooves whose number is the same as the number of the pusher heads. The pusher head has a push rod, and the push rod can be slidably engaged in the slide groove of the back plate ( Figure 2 d not shown), one end of the push rod has a convex rod passing through the rotary groove, when the motor drives the main gear to rotate clockwise, the convex rod is driven by the gear to rotate and slide in the rotary groove, thereby pushing the push head rods of the 6 push heads radially outward in the slide groove to make the multiple push heads open, and thereafter at any time when the motor drives the main gear to rotate counterclockwise, the push head rod moves radially inward in the slide groove to make the multiple push heads converge in the opposite direction, thereby achieving external auxiliary pulling effect on the skin.

[0076] The motor is communicatively connected to the smart chip, and the back plate has a wire hole (5 in total) between each of the push head rods for passing components and / or wires of the touch sensing part, massage head, and light therapy care source through so as to communicate with the smart chip.

[0077] Or the face-lifting mechanism is as follows Figure 2 e and 2f, including a facelift scissors ( Figure 2 e), the front end of which has a pair of push arcs ( Figure 2 f), and the rear end handle passes through the inner cavity of the physiotherapy head and out of the physiotherapy head shell for hand holding as shown in FIG. Figure 2 e) to perform a shearing operation by pressing the handles relative to each other, and to tighten the skin when releasing the handles (specifically, the front end can resume the movement trend of opening after releasing by the compression spring arranged across the handles and / or across the front end), so as to achieve the skin being pressed by the front end push arc as shown in FIG. Figure 2 Push and pull in the opposite direction as shown by the arrows in f.

[0078] The part of the treatment head through which it is inserted forms a pair of guide grooves ( Figure 2 e is not shown). At this time, Figure 2 As shown in FIG. 4 , when the user chooses to push the pushing portion, the therapeutic agent will be discharged from the therapeutic agent discharge hole and applied to the finger to apply the therapeutic agent to the treatment area.

[0079] It is understandable that due to the obstruction and space occupied by the handle passing through the shell of the physiotherapy head, there is no suitable angle to use the physiotherapy agent discharge hole on the shell of the physiotherapy head to directly apply the physiotherapy agent to the skin and perform the application operation. Figure 2 As shown in e, we can still use Figure 2The therapeutic agent discharge hole is set slightly lower than b to discharge the therapeutic agent to the fingers and apply the therapeutic agent.

[0080] Example 3

[0081] This embodiment will explain the key switching method of the handheld intelligent physiotherapy instrument. Figure 3 After long pressing the light / mode button for 4-5 seconds to turn on the beauty instrument, the age is input (via voice) into the beauty instrument. The user can cycle through the functions of the light / mode button by short pressing. If it is judged that the light / mode button is pressed twice in a row, the function is selected (for the sake of simplicity, this step is not shown in the figure) and it is further judged whether it is long pressed for 2-3 seconds. If it is judged that it is not pressed twice in a row, the function can continue to be cycled through short pressing;

[0082] If it is judged that the long press is 2-3 seconds, the selected function is exited (for the sake of simplicity, this step is not shown in the figure), and then it is judged whether it is long pressed for 4-5 seconds. If so, the device is turned off, otherwise the function cycle continues;

[0083] If it is judged that the button is not pressed for 2-3 seconds, the selected function will be treated through contact sensing. If it is judged that the button is pressed for 2-3 seconds, the treatment will be terminated and the function will be switched in a loop. Otherwise, it will be judged every 1-2 seconds whether it is non-contact. If it is, the compensation time will be calculated. Otherwise, the selected function will be treated. If the non-therapy part is touched, the user will generally move away. At this time, if it is judged that the button is not pressed for 2-3 seconds, it will continue to be judged as non-contact, so as to calculate the compensation time, until it is judged that the skin is touched again to perform the selected function treatment and compensate the treatment time. The time spent on adjusting to the correct therapy part due to the mistaken contact is included in the compensation time.

[0084] During the calculation of the compensation time, it is determined every 1-2 seconds whether the skin is touched. If it is still not touched, it is also determined at 1-2 second intervals whether it is pressed for 2-3 seconds. If so, the physical therapy is terminated and the function cycle is continued. Otherwise, it is determined whether it is pressed for 4-5 seconds. If so, the device is shut down. Otherwise, it continues to determine whether the skin is touched.

[0085] Example 4

[0086] This embodiment will illustrate the method of intelligent setting. Figure 4 As shown, the following steps are included:

[0087] S1 set up five test groups: cleansing group, nourishing group, lifting and firming group, eye care group, and blue light calming group. Each test group was divided into six groups: 18-24 years old, 25-35 years old, 35-45 years old, 45-60 years old, 60-75 years old, and over 75 years old. Figure 4Taking the cleaning function as an example, the training set, validation set and test set are set, and the ratio of the three is 3:1:1; all the subjects follow the preset work and rest rules for 2 months, which are 18-24 years old get up at 7:30 am, 25-35 years old get up at 7 am, 35-45 years old get up at 7 am, 45-60 years old get up at 6:30 am, 60-75 years old get up at 6 am, and those over 75 years old get up at 6 am. All experimental groups go to bed between 10-11 pm, and three meals a day, breakfast, lunch, and dinner, start within 30 minutes after getting up, between 11:30-12:30, and 17:30-18:30 respectively;

[0088] The S2 clean test group trained ResNet according to the following parameters:

[0089] Low frequency vibration low, medium and high three gears, amber light intensity low, medium and high three gears, total cleaning time under warm effect 4min, seven parameters,

[0090] When S3 is turned on, it uses a pinhole camera to collect images of the face to be treated. It then uses the pre-set sensitive skin recognition model (i.e., it recognizes facial features such as burn scars, bloodshot eyes, and blush in the captured images) to identify whether the skin is sensitive. If so, the action time of all groups is halved. The training sets of each group are subjected to a cross-test program of parameter selection for the five major functional therapies, and the top three parameter configurations are obtained through an overall evaluation. The classification scores of the top three treatment results of each parameter configuration are taken. The corresponding captured images are input into the corresponding ResNet model for training, and the validation set is used to verify the accuracy. The loss function is used to adjust the model. The network parameters are adjusted until the accuracy and loss function values ​​are stable, and the training is stopped, so as to obtain the classification of the top three scores of each parameter configuration of each functional therapy under each group as good, medium, and poor (that is, divided into three levels according to the three scores from the highest to the relatively lowest); by randomly selecting the middle parameter configuration of each parameter configuration corresponding to the good or medium prediction result of each parameter configuration as the corresponding functional therapy under the group, the parameter configuration with the highest score among the middle parameter configurations of the three parameter configurations is compared as the best parameter configuration of the functional therapy under the group. If there are multiple highest scores that are the same, one of the parameter configurations is randomly selected as the best parameter configuration of the functional therapy under the group;

[0091] S4 inputs the age of the subject in the test set, uses a pinhole camera to collect images of the subject's face to be treated, and inputs the collected images into the corresponding trained ResNet model to obtain a set of optimal parameter configurations predicted under cleaning, thereby selecting the corresponding optimal parameter configuration for cleaning preparation according to the cleaning selected by the subject, and performing treatment according to the subject's face to be treated contacting the tactile sensing part.

[0092] Example 5

[0093] This embodiment will illustrate two facial skin physiotherapy methods provided by the handheld intelligent physiotherapy apparatus of embodiments 1-4, including the following steps:

[0094] The first is the intelligent physiotherapy program:

[0095] (1) Turn on the device and input age, then face the pinhole camera to collect images and complete parameter setting based on intelligent settings;

[0096] (2) Select the therapy function by using the switch / mode button;

[0097] (3) discharging the corresponding physiotherapy agent through the physiotherapy agent discharge hole to act on the facial skin to be treated;

[0098] (4) The facial skin to be treated by the therapeutic agent in step (3) is brought into contact with the touch-sensitive part to perform the selected therapeutic function.

[0099] The second is manual therapy

[0100] After powering on, start directly from step (2) by using the switch / mode button to wake up the manual gear adjustment panel; then long press the switch / mode button to select manual adjustment of the electric pulse frequency and intensity, and / or the vibration frequency, and / or the intensity of the light emitted by the phototherapy care source, and / or the rotation angle of the motor, use the gear button to select the gear, and finally long press the switch / mode button again to successfully set;

[0101] When image acquisition fails, the sound outlet can provide a voice prompt of image acquisition failure every 3 seconds until the user succeeds in image acquisition, or wake up the manual adjustment panel to enter the next step or prompt to enter the manual adjustment parameter mode and then perform steps (3) and (4) in sequence.

[0102] Table 1 compares the effects of the two physiotherapy programs (with the assistance of tension), where (0) indicates that no definite improvement was measured without the assistance of tension, and (-) indicates that the data without the assistance of tension were relatively poor (between 0.2-0.5%).

[0103]

[0104] The results showed that the use of intelligent solution + tension assistance showed better results in all indicators.

Claims

1. A handheld intelligent physiotherapy device, comprising a handheld housing, a physiotherapy head, a switch / mode button, a charging port, a mode display and a charging display, a pinhole camera for collecting skin images of a face, and a battery in the handheld housing, wherein: The physiotherapy head includes a massage head capable of vibrating and / or MFIP and a light therapy care source capable of emitting amber light, red light, crimson light, and blue light. The mode display includes a display of five functions of cleaning, nourishing, lifting and firming, eye care, and blue light calming that are switched in sequence by short pressing a switch / mode button. The physiotherapy head also includes a touch sensing part coupled to the massage head and a mechanical skin lifting mechanism arranged on the physiotherapy head outside the massage head. The touch sensing part automatically or manually activates the mechanical skin lifting mechanism according to the facial skin contacting the massage head, so as to achieve a multi-directional extension effect on the skin level simultaneously with the physiotherapy. The handheld intelligent physiotherapy instrument is characterized in that the handheld intelligent physiotherapy instrument further comprises a high-definition camera module for capturing human faces, and has a sub-shell with a high-definition touch screen extending from one side of the handheld shell, and a gripping finger groove is provided between the sub-shell and the handheld shell on the extended side, so as to facilitate holding to operate the high-definition touch screen and perform physiotherapy. When the high-definition camera module is started, a real-time human face image appears on the high-definition touch screen, and the holding hand does not move at this time, while the other hand can zoom in on the real-time human face image, circle the wrinkle area, and confirm to save it. When the face is lifted next time, the high-definition camera module recognizes the current real-time human face image through the face recognition function in the intelligent chip, and can call out the saved human face image with the wrinkle area circled to indicate the user's circled area for the required face lift. A plurality of physiotherapy agent discharge holes are arranged on the side of the physiotherapy head away from the mechanical facelift mechanism, and the physiotherapy agent discharge holes are connected with a plurality of physiotherapy agent receiving chambers inside the handheld shell through a conduit. Each of the plurality of physiotherapy agent receiving chambers can be pushed by a piston push rod to squeeze out the physiotherapy agent contained in the physiotherapy agent receiving chamber. A push portion arranged at one end of the piston push rod passes through a guide groove protruding from the outer surface of the handheld shell. When the push portion is moved along the guide groove, the corresponding physiotherapy agent can be discharged from the physiotherapy agent receiving chamber, discharged from the corresponding physiotherapy agent discharge hole through the conduit and applied to the finger or the face to be treated, and then applied by means of the finger or the side of the physiotherapy head respectively; protective caps are arranged on the plurality of physiotherapy agent discharge holes; the piston push rod can be pulled out by disassembling the handheld shell to add the corresponding physiotherapy agent into the physiotherapy agent receiving chamber; The smart chip arranged inside the handheld shell is used to perform parameter setting based on intelligent settings according to the skin image acquisition and one of the cleansing, nourishing, lifting and firming, eye care, and blue light calming functions selected by the user, so that after the parameter setting is completed and the therapeutic agent is applied, the mechanical facelift mechanism is automatically or manually started by the contact between the touch sensing part and the facial skin, and the selected function of the therapy is performed; when the facial skin or any other part of the skin contacts the touch sensing part and then leaves the touch sensing part to present a non-contact state, the mechanical facelift mechanism is moved in the reverse direction and automatically pauses the execution of the selected function of the therapy. At this time, it can be performed, characterized in that the pause time of automatically pausing the execution of the selected function of the therapy is included in the compensation time after the next contact for therapy, and the compensation time is not more than 1 minute.

2. The handheld intelligent physiotherapy device according to claim 1, characterized in that: The handheld housing comprises a detachable front part and a rear part based on a partition, wherein the partition divides the space enclosed by the installed front part and the rear part into a front cavity and a rear cavity which are independently sealed from each other, wherein the rear cavity contains the multiple physiotherapy agent accommodating cavities, the corresponding piston push rods, part of the push part, and at least part of the conduit, and the physiotherapy agent discharge hole is located on a side of the physiotherapy head opposite to the mechanical skin lifting mechanism; the front cavity is used to accommodate the battery and the smart chip in the handheld housing; the switch / mode button, the mode display and the charging display are located at the front part, and the charging hole is arranged at the bottom of the front cavity at one end of the front part; The multiple therapeutic agent containing chambers are detachably fixed on the partition.

3. The handheld intelligent physiotherapy device according to claim 1, characterized in that: The handheld intelligent physiotherapeutic instrument further comprises a gear button arranged at the front part, which is used to set the frequency and intensity of electric pulses, and / or the vibration frequency, and / or the intensity of light emitted by the phototherapy care source, and / or the rotation angle of the motor; the mode display further comprises a manual gear adjustment panel, which is used to switch and display the adjustment modes among the electric pulses, the intensity of light emitted by the phototherapy care source, and the rotation angle of the motor by pressing the switch / mode button for 1-2 seconds multiple times, and then the gear button is used to select the gear, and finally the switch / mode button is pressed for a long time again to successfully set the gear; The mode display and charging display can be displayed on the high-definition touch screen. The switch / mode button, the front gear button, the standby button, and the age input button all form touch buttons on the high-definition touch screen, and a face image acquisition button is provided on the high-definition touch screen. The smart chip also calls a pre-trained wrinkle recognition model to perform recognition marking on a face image collected by the user pressing the face image acquisition button.

4. The handheld intelligent physiotherapy device according to claim 3, characterized in that: The wrinkle recognition model is a convolutional neural network model with a residual mechanism. The training method is to obtain volunteers of different age groups, and for each age group, take photos of multiple different parts that the volunteers themselves identify as needing facelifts, and divide the unacceptable degree of wrinkles into three levels: negligible, non-negligible, and deep processing according to the volunteers' own identification. The high-definition camera module is used to collect multiple high-definition images of each part of the three levels for different age groups, and the multiple high-definition images of the parts are divided into training sets and verification sets according to different parts, and a sub-convolutional neural network with a residual mechanism is formed for each part. The network is trained using the training set, the loss function is calculated to optimize the model parameters, the model accuracy is verified by the validation set, and the final wrinkle recognition model is obtained. During recognition, the user selects his own age group and clicks on the desired face-lifting part on the collected face image, so that the smart chip can take a screenshot and enlarge the image part, or the user imports the saved face image with the wrinkle part circled by himself through the high-definition touch screen operation, clicks on the desired face-lifting part on the collected face image, and inputs the corresponding part into the sub-convolutional neural network with residual mechanism, so as to finally obtain the classification level of wrinkle recognition in each age group, and the classification level can be displayed on the high-definition touch screen.

5. The handheld intelligent physiotherapy device according to claim 1, characterized in that: The intelligent setting method comprises the following steps: S1 setting five test groups, namely, a cleaning group, a nourishing group, a lifting and firming group, an eye care group, and a blue light calming group, and dividing each test group into six groups, namely, 18-24 years old, 25-35 years old, 35-45 years old, 45-60 years old, 60-75 years old, and over 75 years old; each group is provided with a training set, a validation set, and a test set, and the ratio of the three is 5-3:1-2:1; all the subjects follow the preset work and rest rules. The work and rest routine was carried out for 1-3 months, and the work and rest routine was waking up at 7:30 a.m. for 18-24 years old, 7 a.m. for 25-35 years old, 7 a.m. for 35-45 years old, 6:30 a.m. for 45-60 years old, 6 a.m. for 60-75 years old, and 6 a.m. for those over 75 years old. All the experimental groups went to bed between 10-11 p.m., and started three meals a day, breakfast, lunch, and dinner within 30 minutes after waking up, between 11:30-12:30, and between 17:30-18:30 respectively. The five experimental groups in S2 were trained with the following parameters for the artificial intelligence model: Cleaning group, low frequency vibration low, medium and high three gears, amber light intensity low, medium and high three gears, total cleaning time under warm effect 4min, seven parameters, Nourishing group, high-frequency vibration low, medium, high three gears, red light intensity low, medium, high three gears, total nourishing time under warm effect 4min, seven parameters, Lifting and firming group, low frequency vibration low, medium and high three gears, high frequency vibration low, medium and high three gears, MFIP pulse frequency high, medium and low three gears, pulse intensity high, medium and low three gears, deep red light intensity, amber light intensity, total lifting and firming time under warm effect 4min, fifteen parameters, Eye care group, MFIP pulse frequency high, medium and low three gears, pulse intensity high, medium and low three gears, low frequency vibration low, medium and high three gears, high frequency vibration low, medium and high three gears, high and low frequency vibration interval, total eye care time under warming effect 4min, fourteen parameters, Blue light calms, blue light intensity, ice compress effect is to cool down the massage head for 4 minutes, one parameter; When S3 is turned on, it uses a pinhole camera to collect images of the face to be treated. It then uses the pre-set sensitive skin recognition model to identify whether the skin is sensitive. If so, the action time of all groups is halved. The training sets of each group are subjected to a cross-test scheme for parameter selection of the five major functional treatments. The top N parameter configurations are obtained through an overall evaluation, where N≤5. The top three classification scores of each parameter configuration treatment result are taken. The corresponding collected images are respectively input into the corresponding artificial intelligence model for training, and the accuracy is verified using the validation set. The network parameters of the model are adjusted using the loss function until the accuracy and loss function values ​​are stable, and the training is stopped, thereby obtaining the classification of the top three scores of each parameter configuration of each functional physiotherapy under each group as good, medium, and poor; by randomly selecting the middle parameter configuration of each parameter configuration corresponding to the good or medium prediction result of each parameter configuration as the corresponding functional physiotherapy under the group, the parameter configuration with the highest score among the middle parameter configurations of N parameter configurations is compared as the best parameter configuration of the corresponding functional physiotherapy under the group. If there are multiple highest scores that are the same, one of the parameter configurations is randomly selected as the best parameter configuration of the corresponding functional physiotherapy under the group; S4 inputs the age of the subjects in the test set, uses a pinhole camera to collect images of the subjects' faces to be treated, and inputs the collected images into the corresponding trained artificial intelligence model to obtain five sets of optimal parameter configurations predicted under various functional treatments, thereby selecting the corresponding optimal parameter configuration for treatment preparation based on the functions selected by the subjects, and performing treatment based on the subjects' faces contacting the tactile sensing part.

6. The handheld intelligent physiotherapy device according to any one of claims 1 to 5, characterized in that: The mechanical facelift mechanism includes a back plate fixedly connected to the physiotherapy head and having a center column, a slave gear sleeved on the center column of the back plate, a main gear meshing with the slave gear, a motor accommodated in the internal cavity of the physiotherapy head and connected to the main gear through a reducer or directly connected, and a plurality of push heads, wherein the central hole of the main gear is connected to the reducer shaft through a through hole on the back plate, the slave gear has a plurality of rotary grooves whose number is the same as the number of the push heads, the push head has a push rod, the push rod can be slidably embedded in the slide groove of the back plate, one end of the push rod has a convex rod passing through the rotary groove, when the motor drives the main gear to rotate clockwise Or when rotating counterclockwise, the convex rod drives the convex rod to slide in the rotating groove due to the rotation of the slave gear, thereby pushing the pusher rods of the plurality of pusher heads radially outward in the slide groove to make the plurality of pusher heads open, and thereafter at any time when the motor drives the main gear to rotate in the opposite direction, the pusher rod moves radially inward in the slide groove to make the plurality of pusher heads converge in the opposite direction, thereby realizing the external auxiliary pulling effect on the skin, the motor is communicatively connected with the smart chip, and the back plate has at least one wire hole between the pusher rods for passing the components and / or wires of the touch sensing part, the massage head, and the light therapy care source to communicate with the smart chip; Both sides of the sub-shell have interfaces electrically connected to the handheld shell. When one of the sides is connected to the handheld shell, the high-definition touch screen is turned on; the high-definition touch screen is independently powered by the battery in the sub-shell, and a sub-shell battery charging port is provided on the sub-shell. When the electrical connection is disconnected, the captured facial image can still be enlarged.

7. The handheld intelligent physiotherapy device according to any one of claims 1 to 5, characterized in that: The mechanical facelift mechanism comprises a facelift scissors, the front end of which has a pair of push arcs arranged on the side where the massage head is located and can be pressed against the skin, and the rear end handle passes through the inner cavity of the physiotherapy head and passes through the outer shell of the physiotherapy head so that the hand can hold it and press the handle relatively to perform a shearing operation. After the skin is pressed, the handle is released to achieve a skin tightening operation, and the front end push arc pushes and pulls the skin in the reverse state of tightening. The part of the physiotherapy head that is penetrated forms a pair of guide grooves for guiding the handle to perform the shearing operation and the skin tightening operation. At this time, when the user chooses to push the push part, the physiotherapy agent will be discharged from the physiotherapy agent discharge hole and applied to the finger or other application materials to apply the physiotherapy agent to the part to be treated; The physiotherapy head is also provided with a microphone for receiving voice control sound, and the front portion also includes at least one sound outlet for voice prompts to issue age input prompts, respond to user voice commands, user operations, and voice prompts for function execution status; There are two switch / mode buttons, one of which is a spare button. The user can select one of them for operation at any time when the device is turned on. When one of the buttons fails, the spare button can still be used for operation.

8. A facial skin physiotherapy method using the handheld intelligent physiotherapy device according to any one of claims 1 to 7, characterized in that: The steps include: (1) Turn on the device and input age, then face the pinhole camera to collect images and complete parameter setting based on intelligent settings; (2) Select the therapy function by using the switch / mode button; (3) discharging the corresponding physiotherapy agent through the physiotherapy agent discharge hole to act on the facial skin to be treated; (4) contacting the facial skin to be treated with the therapeutic agent in step (3) with the touch sensitive part to perform the selected therapeutic function; or, After powering on, start directly from step (2) by using the switch / mode button to wake up the manual gear adjustment panel; then long press the switch / mode button to select manual adjustment of the electric pulse frequency and intensity, and / or the vibration frequency, and / or the intensity of the light emitted by the phototherapy care source, and / or the rotation angle of the motor, use the gear button to select the gear, and finally long press the switch / mode button again to successfully set; When image acquisition fails, the voice prompt of image acquisition failure can be given through the sound outlet every 3-5 seconds until the user succeeds in image acquisition, or the manual adjustment panel is awakened to enter the next step or prompted to enter the manual adjustment parameter mode and then perform steps (3) and (4) in sequence.

9. The facial skin treatment method according to claim 8, characterized in that: After long pressing the light / mode button for 4-5 seconds to turn on the instrument, enter the age into the beauty instrument. The user can cycle through the functions by short pressing the light / mode button. If it is judged that the light / mode button is pressed twice in a row, the function is selected and it is further judged whether it is long pressed for 2-3 seconds. If it is judged that it is not pressed twice in a row, the function can be cycled through short pressing. If the long press is continued for 2-3 seconds, the selected function will be exited, and then it will be determined whether it is long pressed for 4-5 seconds. If so, the device will be shut down, otherwise, the function cycle will continue; If it is judged that the button is not pressed for 2-3 seconds, the selected function will be treated through contact sensing. If it is judged that the button is pressed for 2-3 seconds, the treatment will be terminated and the function will be switched in a loop. Otherwise, it will be judged whether it is non-contact every 1-2 seconds. If it is, the compensation time will be calculated. Otherwise, the selected function will be treated. If the non-treatment part is touched, the user will generally move away. At this time, if it is judged that the button is not pressed for 2-3 seconds, it will continue to be judged as non-contact, so as to calculate the compensation time, until it is judged that the skin is touched again, the selected function will be treated and the treatment time will be compensated. During the calculation of the compensation time, it is determined every 1-2 seconds whether the skin is touched. If it is still not touched, it is also determined at 1-2 second intervals whether it is pressed for 2-3 seconds. If so, the physical therapy is terminated and the function cycle is continued. Otherwise, it is determined whether it is pressed for 4-5 seconds. If so, the device is shut down. Otherwise, it continues to determine whether the skin is touched.

10. The facial skin treatment method according to claim 8, characterized in that: It also includes a wrinkle tightening treatment method, which specifically includes starting the high-definition touch screen on the sub-shell, facing the high-definition camera module to collect real-time high-definition images of the user, manually zooming in on the real-time face image, circling the wrinkle area, and confirming to save. When doing a face lift next time, the high-definition camera module recognizes the current real-time face image through the face recognition function in the smart chip, and prompts on the high-definition touch screen whether to call out the saved face image of the circled wrinkle area. When "Yes" is selected, it is asked again whether model recognition is required. When "Not required" is selected, the user is indicated on the image that is displayed where the face lift is required; when "Required" is selected, the wrinkle recognition model step is entered; when "No" is selected, the wrinkle recognition model step is also entered, and the wrinkle recognition model step is entered. During the step, a face image is collected by pressing the face image collection button, and a pre-trained wrinkle recognition model is called to perform recognition marking on the face image. During specific recognition, the user first selects his own age group, and clicks on the desired face-lifting part on the collected face image, so that the smart chip can take a screenshot and enlarge the image part, or the user imports a saved face image of the circled wrinkle part through the high-definition touch screen operation, clicks on the desired face-lifting part on the collected face image, and inputs the input into the sub-convolutional neural network with residual mechanism corresponding to the trained corresponding part, so as to finally obtain the classification level of wrinkle recognition in each age group, and display the classification level on the high-definition touch screen. The user determines the type, dosage and tightening time of the physiotherapy agent according to the classification level.

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