A facial recognition based respirator fit test method and system

Abstract

The application discloses a face recognition-based respirator matching method and system, and the method comprises the following steps: judging a respirator type suitable for a user according to basic information of the user; collecting corresponding face information and head information of the user according to the respirator type suitable for the user; modeling according to the collected face information and head information of the user; and matching the modeling result with respirators in a respirator database to select the most suitable respirator for the user. The technical scheme of the application can provide the most suitable respirator for the user.

Description

Technical Field

[0001] This invention relates to the field of respiratory masks, and more particularly to a respiratory mask matching method and system based on facial recognition. Background Technology

[0002] Currently, there are many types of breathing masks on the market, which are generally divided into three types: mouth and nose masks, nose masks, and nose pillows. They are also divided into three sizes (S / M / L) according to different face sizes, and into different shapes according to different functions.

[0003] When existing breathing masks are adapted to fit a user's face, the following technical problems exist:

[0004] 1. When existing companies provide breathing masks to users, patients are unable to experience or try out the product;

[0005] 2. Repeatedly trying on and wearing a breathing mask increases the risk of infection;

[0006] 3. Poor compliance can occur during home positive pressure ventilation therapy, usually due to an inappropriate breathing mask. Summary of the Invention

[0007] The purpose of this invention is to address the technical problem of inconvenient adaptation between breathing masks and faces in the prior art. This invention proposes a breathing mask matching method and system based on facial recognition.

[0008] In this embodiment of the invention, a method for matching breathing masks based on facial recognition is provided, comprising:

[0009] Based on the user's basic information, determine the appropriate type of breathing mask for the user;

[0010] Collect the user's facial and head information according to the type of breathing mask suitable for the user;

[0011] Modeling is performed based on the collected user facial and head information;

[0012] The modeling results are matched with breathing masks in the breathing mask database to select the most suitable breathing mask for the user.

[0013] In this embodiment of the invention, the user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, whether there are wounds on the face, and whether there are wounds on the nose.

[0014] In this embodiment of the invention, the user's gender, ethnicity, facial hair condition, whether there are wounds on the face, and whether there are wounds on the nose are obtained through facial scanning, and whether the user has sensitive skin is obtained through data entry.

[0015] In this embodiment of the invention, the facial recognition-based breathing mask matching method further includes:

[0016] The modeling results are matched with various respiratory mask components in the respiratory mask database to find the most suitable respiratory mask component. These respiratory mask components are then combined into a complete respiratory mask and recommended to the customer.

[0017] In this embodiment of the invention, the facial recognition-based breathing mask matching method further includes:

[0018] The modeling results are compared with the breathing mask currently worn by the user to assess the fit of the current breathing mask.

[0019] In this embodiment of the invention, a facial recognition-based breathing mask matching system is also provided, comprising:

[0020] The breathing mask type determination module is used to determine the appropriate breathing mask type for the user based on the user's basic information.

[0021] The breathing mask information collection module is used to collect the user's corresponding facial and head information according to the type of breathing mask suitable for the user;

[0022] The breathing mask modeling module is used to create a model based on the collected user facial and head information;

[0023] The breathing mask database is used to store parameter data for various models of breathing masks, as well as parameter data for each component that makes up the breathing mask.

[0024] The breathing mask matching module matches the modeling results with breathing masks in the breathing mask database to select the most suitable breathing mask for the user.

[0025] In this embodiment of the invention, the user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, whether there are wounds on the face, and whether there are wounds on the nose.

[0026] In this embodiment of the invention, facial scanning is used to obtain the user's gender, ethnicity, facial hair condition, whether there are wounds on the face, and whether there are wounds on the nose, and a pre-entry method is provided to determine whether the user has sensitive skin.

[0027] In this embodiment of the invention, the facial recognition-based breathing mask matching system further includes:

[0028] The breathing mask component matching module is used to match the modeling results with various breathing mask components in the breathing mask database, find the most matching breathing mask component, and then combine these breathing mask components into a complete breathing mask to recommend to the customer.

[0029] In this embodiment of the invention, the facial recognition-based breathing mask matching system further includes:

[0030] The fit assessment module is used to match the modeling results with the breathing mask currently worn by the user to assess the fit of the breathing mask currently worn by the user.

[0031] Compared with existing technologies, the facial recognition-based respiratory mask matching method and system of this invention determines the appropriate respiratory mask type for the user based on the user's basic information, collects the user's corresponding facial and head information according to the appropriate respiratory mask type, models the user's face and head based on the collected facial and head information, and matches the modeling results with respiratory masks in the respiratory mask database to select the most suitable respiratory mask for the user. This eliminates the need for the user to try on masks, reducing the cost of offline trials, breaking the limitations of time and space, and reducing the risk of cross-infection. Furthermore, the modeling results can be combined with the found most suitable respiratory mask components to create a new respiratory mask recommended to the user, achieving personalized respiratory mask customization and further improving the adaptability of the respiratory mask. Attached Figure Description

[0032] Figure 1 This is a flowchart of a face recognition-based breathing mask matching method according to an embodiment of the present invention.

[0033] Figure 2 This is a schematic diagram of the structure of a face recognition-based breathing mask matching system according to an embodiment of the present invention. Detailed Implementation

[0034] like Figure 1 As shown in the figure, this embodiment of the invention provides a breathing mask matching method based on facial recognition, which includes steps S1-S7. These are described below.

[0035] Step S1: Enter the user's basic information.

[0036] The user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, whether there are any wounds on the face, and whether there are any wounds on the nose.

[0037] In this invention, basic user information can be entered via a mobile app. This information can be entered by the user themselves on the app or via facial scanning. In this embodiment, facial scanning is used to obtain the user's gender, ethnicity, facial hair condition, presence of facial wounds, and presence of wounds on the nose. Data entry is used to determine skin sensitivity.

[0038] Step S2: Determine the appropriate type of breathing mask for the user based on their basic information.

[0039] It should be noted that the user's basic information is key to matching the breathing mask. For example, if the facial skin is sensitive, a more skin-friendly memory foam should be used; if there are wounds in the mouth, a nasal mask and nasal pillow should be used; if there are wounds in the nose, a nasal pillow should be used; if there is a lot of facial hair, a nasal pillow should be used; and different types of breathing masks are needed depending on the different ethnicities and face shapes.

[0040] Step S3: Collect the user's facial and head information according to the type of breathing mask suitable for the user.

[0041] It's important to note that different types of breathing masks require different data collection points. For example, for a mouth-nose mask, the key positioning points for its main frame include the bridge of the nose, the left and right corners of the mouth, and 1 cm below the lip. For a nasal mask, crucial positioning information includes the height, width, and tip direction of the nose. For a nasal pillow, the shape of the nostrils and the width of the nostrils must be considered. For a headband, head information must be collected, specifically the key skeletal points.

[0042] In this embodiment of the invention, the user can be prompted in a mobile app to use the camera to collect information from the corresponding area.

[0043] Step S4: Model based on the collected user facial and head information.

[0044] It should be noted that after the facial and head information is collected, the facial and head skeletal structure points are combined to create a model, resulting in a complete three-dimensional structural model of the breathing mask.

[0045] Step S5: Match the modeling results with the breathing masks in the breathing mask database to select the most suitable breathing mask for the user.

[0046] It's important to note that the respiratory mask database stores parameter data for various models of respiratory masks, as well as parameter data for each component that makes up the mask. The respiratory mask parameter data primarily includes its three-dimensional structural data and material data. The three-dimensional structural data obtained by modeling the user's facial and head information can be compared with the three-dimensional structural data of various respiratory masks in the database. The respiratory mask with the closest data is the most suitable for the user. Through this method, the most suitable respiratory mask can be found for the user without the need for trial fittings, reducing the cost of in-person trials, overcoming time and space limitations, and reducing the risk of cross-infection.

[0047] Step S6: Match the modeling results with the various breathing mask components in the breathing mask database, find the most matching breathing mask component, and then combine these breathing mask components into a complete breathing mask and recommend it to the customer.

[0048] It should be noted that, in order to achieve personalized customization of the user's mask, the three-dimensional structural data obtained by modeling the user's facial and head information can be matched with each breathing mask component. The most suitable breathing mask components can be combined into a complete breathing mask. The mask obtained in this way is not only more suitable for the user's face and head than the existing ready-made breathing masks, but also allows for personalized customization of the breathing mask, further improving the adaptability of the breathing mask.

[0049] Step S7: Compare the modeling results with the breathing mask currently worn by the user to assess the fit of the breathing mask currently worn by the user.

[0050] It should be noted that in some cases, users need to assess the fit of their breathing mask to their face and head. This can be achieved by comparing the 3D structural data obtained from modeling the user's facial and head information with the structural data of the breathing mask currently being worn. Specifically, the total error can be calculated by accumulating the errors of each piece of structural data, and then the fit can be evaluated based on the total error.

[0051] It should also be noted that the above steps S5-S7 are based on the modeling results of the breathing mask to achieve different functions. They are independent steps and have no order.

[0052] like Figure 2 As shown, corresponding to the above-described face recognition-based breathing mask matching method, this embodiment of the invention also provides a face recognition-based breathing mask matching system, which includes a breathing mask type determination module 1, a breathing mask information acquisition module 2, a breathing mask modeling module 3, a breathing mask database 4, a breathing mask matching module 5, a breathing mask component matching module 6, and a fit evaluation module 7. These will be described in detail below.

[0053] The breathing mask type determination module is used to determine the appropriate breathing mask type for the user based on the user's basic information. The user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, presence of facial wounds, and presence of nasal wounds. In this embodiment of the invention, the user's gender, ethnicity, facial hair condition, presence of facial wounds, and presence of nasal wounds are obtained through facial scanning, and a pre-entry method is provided to determine skin sensitivity.

[0054] The breathing mask information acquisition module 2 is used to collect the user's corresponding facial and head information according to the type of breathing mask suitable for the user. It should be noted that the breathing mask information acquisition module 2 can be a module in a mobile APP that controls the camera.

[0055] The breathing mask modeling module 3 is used to create a model based on the collected user facial and head information.

[0056] The breathing mask database 4 is used to store parameter data of various models of breathing masks and parameter data of each component that makes up the breathing mask.

[0057] The breathing mask matching module 5 matches the modeling results with breathing masks in the breathing mask database to select the most suitable breathing mask for the user.

[0058] The breathing mask component matching module 6 is used to match the modeling results with each breathing mask component in the breathing mask database, find the most matching breathing mask component, and then combine these breathing mask components into a complete breathing mask to recommend to the customer.

[0059] The fit evaluation module 7 is used to match the modeling results with the breathing mask currently worn by the user to evaluate the fit of the breathing mask currently worn by the user.

[0060] It should be noted that the information interaction and execution process between the modules / units in the above-mentioned face recognition-based breathing mask matching system are based on the same concept as the aforementioned face recognition-based breathing mask matching method. The implementation process and the resulting technical effects are the same as those in the face recognition-based breathing mask matching method. For details, please refer to the relevant descriptions in the face recognition-based breathing mask matching method, which will not be repeated here.

[0061] In summary, the facial recognition-based respiratory mask matching method and system of this invention determines the appropriate respiratory mask type for the user based on their basic information, collects the user's corresponding facial and head information according to the appropriate mask type, models the data based on the collected facial and head information, and matches the modeling results with respiratory masks in the respiratory mask database to select the most suitable respiratory mask for the user. This eliminates the need for users to try on masks, reducing the cost of offline trials, breaking time and space limitations, and lowering the risk of cross-infection. Furthermore, the modeling results can be combined with the found most suitable respiratory mask components to create a new respiratory mask recommended to the user, achieving personalized respiratory mask customization and further improving the adaptability of respiratory masks.

[0062] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for matching a breathing mask based on facial recognition, characterized in that, include: Based on the user's basic information, determine the appropriate type of breathing mask for the user; Collect the user's facial and head information according to the type of breathing mask suitable for the user; Modeling is performed based on the collected user facial and head information; The modeling results are matched with breathing masks in the breathing mask database to select the most suitable breathing mask for the user. The method further includes: The modeling results are matched with various respiratory mask components in the respiratory mask database to find the most suitable respiratory mask component. These respiratory mask components are then combined into a complete respiratory mask and recommended to the customer.

2. The face recognition-based breathing mask matching method as described in claim 1, characterized in that, The user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, whether there are any wounds on the face, and whether there are any wounds on the nose.

3. The facial recognition-based breathing mask matching method as described in claim 2, characterized in that, The system obtains information such as the user's gender, ethnicity, facial hair condition, whether there are any wounds on the face or nose through facial scanning, and whether the user has sensitive skin through data entry.

4. The face recognition-based breathing mask matching method as described in claim 1, characterized in that, Also includes: The modeling results are compared with the breathing mask currently worn by the user to assess the fit of the current breathing mask.

5. A facial recognition-based breathing mask matching system, characterized in that, include: The breathing mask type determination module is used to determine the appropriate breathing mask type for the user based on the user's basic information. The breathing mask information collection module is used to collect the user's corresponding facial and head information according to the type of breathing mask suitable for the user; The breathing mask modeling module is used to create a model based on the collected user facial and head information; The breathing mask database is used to store parameter data for various models of breathing masks, as well as parameter data for each component that makes up the breathing mask. The breathing mask matching module matches the modeling results with breathing masks in the breathing mask database to select the most suitable breathing mask for the user. and The breathing mask component matching module is used to match the modeling results with various breathing mask components in the breathing mask database, find the most matching breathing mask component, and then combine these breathing mask components into a complete breathing mask to recommend to the customer.

6. The facial recognition-based breathing mask matching system as described in claim 5, characterized in that, The user's basic information includes gender, ethnicity, skin sensitivity, facial hair condition, whether there are any wounds on the face, and whether there are any wounds on the nose.

7. The facial recognition-based breathing mask matching system as described in claim 5, characterized in that, The system obtains information such as the user's gender, ethnicity, facial hair condition, whether there are any wounds on the face or nose through facial scanning, and whether the user has sensitive skin through pre-entry data.

8. The facial recognition-based breathing mask matching system as described in claim 5, characterized in that, Also includes: The fit assessment module is used to match the modeling results with the breathing mask currently worn by the user to assess the fit of the breathing mask currently worn by the user.

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