CN114022156A - Easy-to-check mode selection method and device and electronic equipment - Google Patents

Abstract

The embodiment of the disclosure discloses a method and a device for selecting an easy-to-check mode and electronic equipment, wherein the method for selecting the easy-to-check mode comprises the following steps: acquiring user face data, and identifying the user face data to obtain a first identification result; acquiring historical user behavior data, and identifying the historical user behavior data to obtain a second identification result; and determining whether the user needs to start an easy-checking mode according to the first identification result and the second identification result, and starting the easy-checking mode when determining that the user needs to start the easy-checking mode. This technical scheme can automatic judgement need open the easy mode of looking for, has avoided the easy mode of looking for to open the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

Description

Easy-to-check mode selection method and device and electronic equipment

Technical Field

The disclosure relates to the technical field of application data processing, in particular to a method and a device for selecting an easy-to-check mode and electronic equipment.

Background

With the progress of society and the development of data technology, people's clothes and eating and housing increasingly rely on internet technology, for example, people can buy articles that they need on a certain retail website, also can buy food that they want to eat on a certain meal website, especially provides great convenience for the old with inconvenient movement or people with poor eyesight. However, different websites APP are opened and operated in different ways, the displayed content is dazzling, and some APP has a function with a deeper opening entrance or is operated more complicated, which increases a lot of difficulties for people to use, so that a technical scheme suitable for the old or people with poor eyesight and capable of quickly opening the operation mode is urgently needed.

Disclosure of Invention

The embodiment of the disclosure provides an easy-to-check mode selection method and device and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides a method for selecting a checkable mode.

Specifically, the easy-to-check mode selection method includes:

acquiring user face data, and identifying the user face data to obtain a first identification result;

acquiring historical user behavior data, and identifying the historical user behavior data to obtain a second identification result;

and determining whether the user needs to start an easy-checking mode according to the first identification result and the second identification result, and starting the easy-checking mode when determining that the user needs to start the easy-checking mode.

With reference to the first aspect, in a first implementation manner of the first aspect, the acquiring user face data, and recognizing the user face data to obtain a first recognition result includes:

acquiring user face data and extracting face feature data of the user face data;

and inputting the face feature data into a pre-trained face recognition model for recognition to obtain a first recognition result based on the face of the user.

With reference to the first aspect and the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the obtaining historical user behavior data, and identifying the historical user behavior data to obtain a second identification result includes:

acquiring historical user behavior data and extracting behavior characteristic data of the historical user behavior data;

and inputting the behavior characteristic data into a pre-trained behavior recognition model for recognition to obtain a second recognition result based on the user historical behavior.

With reference to the first aspect, the first implementation manner of the first aspect, and the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the determining, according to the first identification result and the second identification result, whether the user needs to start an easy check mode includes:

determining a first weight value of the first recognition result and a second weight value of the second recognition result;

calculating a weighted average of the first recognition result and the second recognition result;

and when the weighted average value is higher than a preset threshold value, determining that the user needs to start the easy-checking mode, otherwise, determining that the user does not need to start the easy-checking mode.

With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, and the third implementation manner of the first aspect, in a fourth implementation manner of the first aspect, an embodiment of the present disclosure, the easy-check mode includes a lifetime mode and an amplification mode, where:

in the elder mode, the display font size is larger than or equal to a preset font size, the display content is preset elder interested content, the display component is a preset elder interested component, the display color is a preset color suitable for being watched by the elder, the display icon is a preset icon suitable for being checked by the elder, and a one-key help function button and a family paying function button are arranged;

and in the amplification mode, the display font size is larger than or equal to the preset font size.

With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, and the fourth implementation manner of the first aspect, in a fifth implementation manner of the first aspect, in the embodiment of the present disclosure, when the weighted average is higher than a preset threshold, it is determined that the user needs to start the easy check mode, otherwise, it is determined that the user does not need to start the easy check mode, including:

determining that the user needs to start a grandparent mode when the weighted average is higher than a first preset threshold;

when the weighted average value is higher than a second preset threshold and lower than a first preset threshold, determining that the user needs to start an amplification mode;

and when the weighted average value is lower than a second preset threshold value, determining that the user does not need to start the easy-checking mode.

With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, and the fifth implementation manner of the first aspect, in a sixth implementation manner of the first aspect, an embodiment of the present disclosure further includes:

and displaying the closing prompt of the easy-checking mode.

With reference to the first aspect, the first implementation manner of the first aspect, the second implementation manner of the first aspect, the third implementation manner of the first aspect, the fourth implementation manner of the first aspect, the fifth implementation manner of the first aspect, and the sixth implementation manner of the first aspect, in a seventh implementation manner of the first aspect, the embodiment of the present disclosure further includes:

closing the easy-check mode in response to receiving the easy-check mode closing command; or

In response to receiving the easy-check mode closing command, jumping to an easy-check mode setting page;

displaying easy-to-check mode selection information in the easy-to-check mode setting page;

and closing the easy-checking mode in response to receiving the easy-checking mode closing confirmation command.

In a second aspect, an easy-to-check mode selection device is provided in embodiments of the present disclosure.

Specifically, the easy-to-check mode selection device includes:

the first identification module is configured to acquire user face data and identify the user face data to obtain a first identification result;

the second identification module is configured to acquire historical user behavior data, and identify the historical user behavior data to obtain a second identification result;

and the starting module is configured to determine whether the user needs to start the easy-checking mode according to the first identification result and the second identification result, and when the user needs to start the easy-checking mode, the easy-checking mode is started.

With reference to the second aspect, in a first implementation manner of the second aspect, the first identification module is configured to:

acquiring user face data and extracting face feature data of the user face data;

and inputting the face feature data into a pre-trained face recognition model for recognition to obtain a first recognition result based on the face of the user.

With reference to the second aspect and the first implementation manner of the second aspect, in a second implementation manner of the second aspect, the second identification module is configured to:

acquiring historical user behavior data and extracting behavior characteristic data of the historical user behavior data;

and inputting the behavior characteristic data into a pre-trained behavior recognition model for recognition to obtain a second recognition result based on the user historical behavior.

With reference to the second aspect, the first implementation manner of the second aspect, and the second implementation manner of the second aspect, in a third implementation manner of the second aspect, the starting module determines whether the user needs to start a part of the easy check mode according to the first identification result and the second identification result, and is configured to:

determining a first weight value of the first recognition result and a second weight value of the second recognition result;

calculating a weighted average of the first recognition result and the second recognition result;

and when the weighted average value is higher than a preset threshold value, determining that the user needs to start the easy-checking mode, otherwise, determining that the user does not need to start the easy-checking mode.

With reference to the second aspect, the first implementation manner of the second aspect, the second implementation manner of the second aspect, and the third implementation manner of the second aspect, in a fourth implementation manner of the second aspect, an embodiment of the present disclosure, the easy-checking mode includes an ancestor mode and an enlargement mode, where:

in the elder mode, the display font size is larger than or equal to a preset font size, the display content is preset elder interested content, the display component is a preset elder interested component, the display color is a preset color suitable for being watched by the elder, the display icon is a preset icon suitable for being checked by the elder, and a one-key help function button and a family paying function button are arranged;

and in the amplification mode, the display font size is larger than or equal to the preset font size.

With reference to the second aspect, the first implementation manner of the second aspect, the second implementation manner of the second aspect, the third implementation manner of the second aspect, and the fourth implementation manner of the second aspect, in a fifth implementation manner of the second aspect, in the embodiment of the present disclosure, when the weighted average value is higher than a preset threshold, it is determined that the user needs to start the easy check mode, otherwise, it is determined that the user does not need to start the part of the easy check mode, and the determining is configured to:

determining that the user needs to start a grandparent mode when the weighted average is higher than a first preset threshold;

when the weighted average value is higher than a second preset threshold and lower than a first preset threshold, determining that the user needs to start an amplification mode;

and when the weighted average value is lower than a second preset threshold value, determining that the user does not need to start the easy-checking mode.

With reference to the second aspect, the first implementation manner of the second aspect, the second implementation manner of the second aspect, the third implementation manner of the second aspect, the fourth implementation manner of the second aspect, and the fifth implementation manner of the second aspect, in a sixth implementation manner of the second aspect, the embodiment of the present disclosure further includes:

a display module configured to display a checkable mode off prompt.

With reference to the second aspect, the first implementation manner of the second aspect, the second implementation manner of the second aspect, the third implementation manner of the second aspect, the fourth implementation manner of the second aspect, the fifth implementation manner of the second aspect, and the sixth implementation manner of the second aspect, in a seventh implementation manner of the second aspect, the embodiment of the present disclosure further includes:

a shutdown module configured to:

closing the easy-check mode in response to receiving the easy-check mode closing command; or

In response to receiving the easy-check mode closing command, jumping to an easy-check mode setting page;

displaying easy-to-check mode selection information in the easy-to-check mode setting page;

and closing the easy-checking mode in response to receiving the easy-checking mode closing confirmation command.

In a third aspect, the disclosed embodiments provide an electronic device comprising a memory and at least one processor, wherein the memory is configured to store one or more computer instructions, and wherein the one or more computer instructions are executed by the at least one processor to implement the method steps of the above-mentioned easy-to-check mode selection method.

In a fourth aspect, embodiments of the present disclosure provide a computer-readable storage medium for storing computer instructions for a searchable mode selection apparatus, which includes computer instructions for performing the above-mentioned method for selecting a searchable mode.

In a fifth aspect, the disclosed embodiments provide a computer program product comprising a computer program/instructions, wherein the computer program/instructions, when executed by a processor, implement the above easy-to-check mode selection method.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

the technical scheme integrates the face recognition of the user and the historical user behavior data to judge whether the user needs to automatically start the easy-checking mode. This technical scheme can automatic judgement need open the easy mode of looking for, has avoided the easy mode of looking for to open the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

Other features, objects, and advantages of the present disclosure will become more apparent from the following detailed description of non-limiting embodiments when taken in conjunction with the accompanying drawings. The following is a description of the drawings.

FIG. 1 shows a flow diagram of a method for easy mode selection according to an embodiment of the present disclosure.

Fig. 2 shows a block diagram of a checkable mode selection apparatus according to an embodiment of the present disclosure.

Fig. 3 shows a block diagram of an electronic device according to an embodiment of the present disclosure.

FIG. 4 is a block diagram of a computer system suitable for use in implementing a walkthrough mode selection method according to one embodiment of the present disclosure.

Detailed Description

Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts not relevant to the description of the exemplary embodiments are omitted in the drawings.

In the present disclosure, it is to be understood that terms such as "including" or "having," etc., are intended to indicate the presence of the disclosed features, numbers, steps, behaviors, components, parts, or combinations thereof, and are not intended to preclude the possibility that one or more other features, numbers, steps, behaviors, components, parts, or combinations thereof may be present or added.

It should be further noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

The technical scheme provided by the embodiment of the disclosure combines the face recognition of the user and the historical user behavior data to judge whether the user needs to automatically start the easy-checking mode. This technical scheme can automatic judgement need open the easy mode of looking for, has avoided the easy mode of looking for to open the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

Fig. 1 shows a flowchart of a checkable mode selection method according to an embodiment of the present disclosure, which includes the following steps S101-S103, as shown in fig. 1:

in step S101, user face data is acquired, and the user face data is recognized to obtain a first recognition result;

in step S102, historical user behavior data is acquired, and the historical user behavior data is identified to obtain a second identification result;

in step S103, it is determined whether the user needs to start an easy-check mode according to the first identification result and the second identification result, and when it is determined that the user needs to start the easy-check mode, the easy-check mode is started.

As mentioned above, with the progress of society and the development of data technology, people's clothes and eating habits increasingly rely on internet technology, for example, people can purchase needed articles on a certain retail website and also can purchase food that people want to eat on a certain meal website, which provides great convenience for the elderly with inconvenient movement or people with poor eyesight. However, different websites APP are opened and operated in different ways, the displayed content is dazzling, and some APP has a function with a deeper opening entrance or is operated more complicated, which increases a lot of difficulties for people to use, so that a technical scheme suitable for the old or people with poor eyesight and capable of quickly opening the operation mode is urgently needed.

In view of the above drawbacks, in this embodiment, an easy-check mode selection method is proposed, which integrates user face recognition and historical user behavior data to determine whether the user needs to automatically turn on an easy-check mode. This technical scheme can automatic judgement need open the easy mode of looking for, has avoided the easy mode of looking for to open the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

In an embodiment of the present disclosure, the easy-to-check mode selection method may be applied to a client of a computer, a computing device, an electronic device, an intelligent terminal, and the like.

In an embodiment of the present disclosure, the user face data may be acquired by an image acquisition component such as a user client camera, and whether the user is likely to be an elderly user and whether an easy-check mode needs to be started may be determined according to the user face data, where the user face data acquisition action may be triggered by an action of a user unlocking a client, may be actively triggered by an action of a user starting the client image acquisition component, and may also be triggered after the user implements a specific historical behavior, such as a historical operation behavior and a historical meal ordering behavior, where the historical operation behavior may be a behavior of a historical operation client, a historical feedback behavior, a historical help seeking behavior, and the like, and specifically, refer to the following detailed description.

In an embodiment of the present disclosure, the historical user behavior data refers to data related to user behavior generated in a preset historical time period, and it may also be determined whether the user is likely to be an elderly user or not and whether an easy-check mode needs to be started according to the historical user behavior data. For example, in the takeaway field, the historical user behavior data may include historical user operation data, historical user ordering data, and the like, wherein the historical user operation data may be, for example, user client operation track data, user client operation time data corresponding to the user client operation track data, user client feedback data, and the like, wherein whether the user has a smooth operation on the client is determined according to the user client operation track data and the user client operation time data corresponding to the user client operation track data, wherein the user client feedback data may be, for example, whether the user has a feedback on the content that is too small for the client font, not easy to find the content, too complex in content, too much uninteresting in content, and the content is closer to the life of the elderly person, whether the user has sought help or not, and the user feedbacks the opinions or the number of times of seeking help, and the like, the user is not smooth to the operation of the client, the above problems are frequently fed back, and the user who often seeks help is likely to be an old user; wherein the historical user ordering data may include one or more of the following: the method comprises the steps that a historical user orders times, a historical user ordering payment mode, a historical user ordering name, a historical user ordering type, a historical user ordering quantity, a historical user ordering taste, a historical user ordering shop and the like, old meal is often purchased, the ordering taste is aging, flat-price vegetables and fruits are often purchased, high-price commodities are rarely purchased, the supermarket is often purchased, the takeout is rarely ordered, and a user with a single payment mode is likely to be an old user.

It should be noted that, the obtaining of the user face data and the historical user behavior data needs to be agreed and authorized by the user, that is, in an embodiment of the present disclosure, the step of obtaining the user face data and/or obtaining the historical user behavior data may be implemented as:

and after receiving the authorization confirmation of the user for acquiring the face data and/or the historical user behavior data, acquiring the face data and/or the historical user behavior data.

In the same way, the processing of the user face data and the historical user behavior data also needs to obtain the consent and the authorization of the user, the obtained user face data and the historical user behavior data can be used for single face recognition and user behavior recognition, and the user face data and the historical user behavior data can be released after the recognition operation and are not stored.

In one embodiment of the present disclosure, the easy-to-check mode refers to a mode that is easier to view than a standard version of the client mode, for example, the easy-to-check mode may include a grown mode and an enlarged mode.

The elder mode refers to a display mode and an operation mode which are convenient for the elderly to view, use and operate information. Specifically, in the elder mode, considering that most of the old people have hyperopia, the display font is slightly larger, for example, the size of the display font is greater than or equal to a preset font size, where the preset font size can be set according to the needs of practical applications; considering that the elderly usually do not like too much vivid and too disordered color matching, the color used for displaying the content is a preset color suitable for elders to watch below a preset number, for example, three basic colors of red, green and blue are used; considering that the old people usually pay little attention to the advertisement content, are not willing to try new or higher-price things and prefer things close to daily life, the display content removes the advertisement content and the floating window display content, and is adjusted to the content which is interesting and often viewed by the old people, such as supermarket preference information of one-out egg, 5-home delivery of fresh Chinese cabbage, 8-fold preference of common medicine and the like, daily food material purchase information of vegetables, fruits, meat and the like, medicine preference information, dining information of old restaurants and the like; considering that the old people usually only pay attention to the information of dishes, supermarkets, drug stores and old restaurants, occasionally take out of business and do not pay much attention to the dining information of restaurants, especially high-grade restaurants, the display components only comprise components of old meal, supermarket shopping, dish buying, medicine buying, taking out of business, weather searching and the like, so that the old people can be guided to the user according to the contents displayed in the elder mode and embedded components, and of course, the final search and recommendation results are also generated within the contents displayed in the elder mode and embedded components; considering that the understanding ability and the understanding speed of the old people are both limited in different degrees, the display icon is as concise and understandable as possible, and the presentation form of the function verb + noun is used, and the display icon is set as a preset icon suitable for the elder to view, for example, the supermarket icon is set as "shopping in the supermarket" instead of "supermarket convenience" or "supermarket/convenience store", the shopping icon is set as "going to buy vegetables" instead of "fresh/vegetable market", the medicine buying icon is set as "going to buy medicine" instead of "medicine supermarket", and the takeout icon is set as "going to take out" instead of "food takeout"; considering that the old people often have difficulty in understanding and operating the content of each component on the page, the old people are provided with a one-key help function button, and when the user of the old people clicks the one-key help function button, a service call page can be displayed so that the old people can make a telephone consultation on the difficulty; considering that the old people are generally not skilled in online payment, the method is further provided with a family payment function button, and after the old people click the family payment function button, the old people can push the payment link to the bound family payment account or the family communication account selected by the old people. That is, in the elder mode, the display font size is equal to or greater than a preset font size, the display content is a preset elder interest content, the display component is a preset elder interest component, the display color is a preset elder viewing color, the display icon is a preset elder viewing icon, and a one-key help function button and an affinity payment function button are provided.

The amplifying mode refers to a display mode and an operation mode which are convenient for people with poor eyesight to check, use and operate information. Unlike the elder mode, in the zoom-in mode, only display elements such as fonts and display components are displayed larger, and other contents such as structural composition, color scheme, and document contents of the display components are not changed. That is, in the enlargement mode, the display font size is equal to or larger than the preset font size.

In the above embodiment, first, user face data is obtained, and based on the user face data, recognition is performed to determine whether an easy-check mode needs to be started, so as to obtain a first recognition result; then acquiring historical user behavior data, and performing identification on whether an easy-check mode needs to be started or not based on the historical user behavior data to obtain a second identification result; and finally, according to the obtained first identification result and the second identification result, comprehensively determining whether the user needs to start the easy-checking mode, and automatically starting the easy-checking mode after determining that the user needs to start the easy-checking mode. Whether can judge automatically like this and need open the easy mode of looking for, avoided the easy mode of looking for and opened the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

In an embodiment of the present disclosure, the step S101, namely, acquiring user face data, and recognizing the user face data to obtain a first recognition result, may include the following steps:

acquiring user face data and extracting face feature data of the user face data;

and inputting the face feature data into a pre-trained face recognition model for recognition to obtain a first recognition result based on the face of the user.

In this embodiment, after obtaining the pre-trained face recognition model, the face recognition model can be directly used to recognize whether the user is an elderly person according to the face data of the user. Specifically, the face feature data of the user face data may be extracted based on the obtained user face data, where the face feature data may include one or more of the following data: skin color data, wrinkle position and number data, facial position size data, facial muscle data, and the like; and then inputting the face feature data into a face recognition model obtained by pre-training for recognition, so as to obtain a first recognition result based on the face of the user, namely, preliminarily judging whether the user is old or not from the view of the face of the user.

In an embodiment of the present disclosure, the step S102 of acquiring historical user behavior data, and identifying the historical user behavior data to obtain a second identification result may include the following steps:

acquiring historical user behavior data and extracting behavior characteristic data of the historical user behavior data;

and inputting the behavior characteristic data into a pre-trained behavior recognition model for recognition to obtain a second recognition result based on the user historical behavior.

In the embodiment, after the pre-trained behavior recognition model is obtained, the behavior recognition model can be directly used for recognizing whether the user is the old or the person with poor eyesight according to the historical user behavior data. Specifically, behavior feature data of the historical user behavior data may be extracted based on the obtained historical user behavior data, where the behavior feature data may include one or more of the following data: whether the operation is smooth or not, the feedback times, the feedback content, the help request times, the help request content and the like; and then inputting the behavior characteristic data into a behavior recognition model obtained by pre-training for recognition, so as to obtain a second recognition result based on the historical behaviors of the user, namely preliminarily judging whether the user is the old or the person with poor eyesight from the perspective of the historical behaviors of the user.

The face recognition model and the behavior recognition model can be obtained based on the prior art training according to the requirements of practical application, and are not repeated here.

In an embodiment of the present disclosure, the step of determining whether the user needs to turn on the easy-check mode according to the first recognition result and the second recognition result in step S103 may include the following steps:

determining a first weight value of the first recognition result and a second weight value of the second recognition result;

calculating a weighted average of the first recognition result and the second recognition result;

and when the weighted average value is higher than a preset threshold value, determining that the user needs to start the easy-checking mode, otherwise, determining that the user does not need to start the easy-checking mode.

In order to integrate and consider a first recognition result obtained based on the face of the user and a second recognition result obtained based on the historical behavior of the user to obtain a more accurate recognition result, in the embodiment, the influence of the first recognition result and the second recognition result on the final recognition result is weighted by respectively setting weight values for the first recognition result and the second recognition result. Specifically, a first weight value of the first recognition result and a second weight value of the second recognition result are determined, where the setting of the first weight value and the second weight value may be set according to the requirement of practical application and the accuracy of the first recognition result and the second recognition result, for example, if the accuracy of the first recognition result is higher, a higher weight value may be set for the first recognition result, and otherwise, if the accuracy of the second recognition result is higher, a higher weight value may be set for the second recognition result; then calculating a weighted average value of the first recognition result and the second recognition result, wherein the weighted average value is calculated by digitizing the first recognition result and the second recognition result, and when the first recognition result and the second recognition result are probability values corresponding to different recognition results, the weighted average calculation can be directly performed, but if the first recognition result and the second recognition result are directly different recognition results, the first recognition result and the second recognition result can be digitized according to a preset digitization rule; and finally, judging whether the easy-checking mode needs to be opened or not according to the calculated weighted average value, for example, when the calculated weighted average value is higher than a preset threshold value, the user is considered to be the old or the person with poor eyesight possibly, the user can be determined to need to open the easy-checking mode at the moment, otherwise, the user is considered to be the old or the person with poor eyesight possibly, and the user can be determined not to need to open the easy-checking mode.

As mentioned above, the easy-to-check mode includes a lifetime mode and an enlargement mode, wherein in the enlargement mode, only the font size is displayed, and in the lifetime mode, not only the font, the display content, the display component, the display color, the display icon, and the like are provided with changes for the lifetime, in which case, the lifetime mode and the enlargement mode can be further distinguished in judgment, that is, in an embodiment of the present disclosure, when the weighted average is higher than a preset threshold, it is determined that the user needs to turn on the easy-to-check mode, otherwise, it is determined that the user does not need to turn on the easy-to-check mode, and the following steps can be included:

determining that the user needs to start a grandparent mode when the weighted average is higher than a first preset threshold;

when the weighted average value is higher than a second preset threshold and lower than a first preset threshold, determining that the user needs to start an amplification mode;

and when the weighted average value is lower than a second preset threshold value, determining that the user does not need to start the easy-checking mode.

In this embodiment, two thresholds, namely a first preset threshold and a second preset threshold, are set, such that the first preset threshold is greater than the second preset threshold, and when the weighted average is higher than the first preset threshold, it may be considered that the user is an elderly person, and it is determined that the user needs to start a elder mode at this time; when the weighted average value is between the second preset threshold value and the first preset threshold value, the user may be considered as not an elderly person, and only poor eyesight, and it may be determined that the user needs to turn on the zoom-in mode; when the weighted average is lower than a second preset threshold, the user can be considered to be neither elderly nor have poor eyesight, and thus it can be determined that the user does not need to turn on the easy-check mode.

The first preset threshold and the second preset threshold may be set according to the needs of practical application, and the specific values thereof are not particularly limited in the present disclosure.

In an embodiment of the present disclosure, the method may further include the steps of:

and displaying the closing prompt of the easy-checking mode.

After the easy mode is turned on for the user, in order to facilitate the user to switch back to the normal display mode, in this embodiment, an easy mode turn-off prompt, such as "turn off the easy mode", may be further displayed on the current display page. If the user confirms the easy-check mode closing prompt, for example, clicking to close the easy-check mode, the user can be considered to send an easy-check mode closing command, and the easy-check mode can be directly closed and switched back to the normal display mode.

That is, in an embodiment of the present disclosure, the method may further include the steps of:

and closing the easy-checking mode in response to receiving the easy-checking mode closing command.

In another embodiment of the present disclosure, after receiving the easy-check mode closing command, the easy-check mode is not directly closed, but the user first jumps to an easy-check mode setting page, and then determines whether to close the easy-check mode according to the selection of the user on the easy-check mode.

That is, in another embodiment of the present disclosure, the method may further include the steps of:

after receiving an easy-check mode closing command sent by a user, jumping to an easy-check mode setting page;

displaying easy-to-check mode selection information in the easy-to-check mode setting page;

and closing the easy-checking mode in response to receiving the easy-checking mode closing confirmation command.

In an embodiment of the present disclosure, the easy-to-check mode selection information refers to information used for selecting to open or close the easy-to-check mode, for example, the easy-to-check mode selection information may be represented as a click bar, for example, in a default case, the easy-to-check mode is closed, the APP is in a normal display mode, the easy-to-check mode click bar is gray at this time, if the user clicks the easy-to-check mode click bar, it is considered that the user opens the easy-to-check mode, and the easy-to-check mode click bar is turned green at this time.

In this embodiment, it is assumed that the easy-to-check mode selection information is represented as a click bar, and when the user selects the easy-to-check mode, the easy-to-check mode click bar is green, and if the user clicks the easy-to-check mode click bar again at this time, the user is considered to confirm that the easy-to-check mode is closed, and at this time, the easy-to-check mode click bar changes back to gray.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.

Fig. 2 shows a block diagram of a checkable mode selecting apparatus according to an embodiment of the present disclosure, which may be implemented as part or all of an electronic device by software, hardware, or a combination of both. As shown in fig. 2, the easy-to-check mode selecting means includes:

the first identification module 201 is configured to acquire user face data, and identify the user face data to obtain a first identification result;

the second identification module 202 is configured to acquire historical user behavior data, and identify the historical user behavior data to obtain a second identification result;

the starting module 203 is configured to determine whether the user needs to start the easy-checking mode according to the first identification result and the second identification result, and start the easy-checking mode when it is determined that the user needs to start the easy-checking mode.

As mentioned above, with the progress of society and the development of data technology, people's clothes and eating habits increasingly rely on internet technology, for example, people can purchase needed articles on a certain retail website and also can purchase food that people want to eat on a certain meal website, which provides great convenience for the elderly with inconvenient movement or people with poor eyesight. However, different websites APP are opened and operated in different ways, the displayed content is dazzling, and some APP has a function with a deeper opening entrance or is operated more complicated, which increases a lot of difficulties for people to use, so that a technical scheme suitable for the old or people with poor eyesight and capable of quickly opening the operation mode is urgently needed.

In view of the above drawbacks, in this embodiment, an easy-check mode selection device is provided, which integrates user face recognition and historical user behavior data to determine whether the user needs to automatically turn on an easy-check mode. This technical scheme can automatic judgement need open the easy mode of looking for, has avoided the easy mode of looking for to open the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

In an embodiment of the present disclosure, the easy-checking mode selection device may be implemented as a client of a computer, a computing device, an electronic device, an intelligent terminal, or the like.

In an embodiment of the present disclosure, the user face data may be acquired by an image acquisition component such as a user client camera, and whether the user is likely to be an elderly user and whether an easy-check mode needs to be started may be determined according to the user face data, where the user face data acquisition action may be triggered by an action of a user unlocking a client, may be actively triggered by an action of a user starting the client image acquisition component, and may also be triggered after the user implements a specific historical behavior, such as a historical operation behavior and a historical meal ordering behavior, where the historical operation behavior may be a behavior of a historical operation client, a historical feedback behavior, a historical help seeking behavior, and the like, and specifically, refer to the following detailed description.

In an embodiment of the present disclosure, the historical user behavior data refers to data related to user behavior generated in a preset historical time period, and it may also be determined whether the user is likely to be an elderly user or not and whether an easy-check mode needs to be started according to the historical user behavior data. For example, in the takeaway field, the historical user behavior data may include historical user operation data, historical user ordering data, and the like, wherein the historical user operation data may be, for example, user client operation track data, user client operation time data corresponding to the user client operation track data, user client feedback data, and the like, wherein whether the user has a smooth operation on the client is determined according to the user client operation track data and the user client operation time data corresponding to the user client operation track data, wherein the user client feedback data may be, for example, whether the user has a feedback on the content that is too small for the client font, not easy to find the content, too complex in content, too much uninteresting in content, and the content is closer to the life of the elderly person, whether the user has sought help or not, and the user feedbacks the opinions or the number of times of seeking help, and the like, the user is not smooth to the operation of the client, the above problems are frequently fed back, and the user who often seeks help is likely to be an old user; wherein the historical user ordering data may include one or more of the following: the method comprises the steps that a historical user orders times, a historical user ordering payment mode, a historical user ordering name, a historical user ordering type, a historical user ordering quantity, a historical user ordering taste, a historical user ordering shop and the like, old meal is often purchased, the ordering taste is aging, flat-price vegetables and fruits are often purchased, high-price commodities are rarely purchased, the supermarket is often purchased, the takeout is rarely ordered, and a user with a single payment mode is likely to be an old user.

It should be noted that, the obtaining of the user face data and the historical user behavior data needs to be agreed and authorized by the user, that is, in an embodiment of the present disclosure, the step of obtaining the user face data and/or obtaining the historical user behavior data may be implemented as:

and after receiving the authorization confirmation of the user for acquiring the face data and/or the historical user behavior data, acquiring the face data and/or the historical user behavior data.

In the same way, the processing of the user face data and the historical user behavior data also needs to obtain the consent and the authorization of the user, the obtained user face data and the historical user behavior data can be used for single face recognition and user behavior recognition, and the user face data and the historical user behavior data can be released after the recognition operation and are not stored.

In one embodiment of the present disclosure, the easy-to-check mode refers to a mode that is easier to view than a standard version of the client mode, for example, the easy-to-check mode may include a grown mode and an enlarged mode.

The elder mode refers to a display mode and an operation mode which are convenient for the elderly to view, use and operate information. Specifically, in the elder mode, considering that most of the old people have hyperopia, the display font is slightly larger, for example, the size of the display font is greater than or equal to a preset font size, where the preset font size can be set according to the needs of practical applications; considering that the elderly usually do not like too much vivid and too disordered color matching, the color used for displaying the content is a preset color suitable for elders to watch below a preset number, for example, three basic colors of red, green and blue are used; considering that the old people usually pay little attention to the advertisement content, are not willing to try new or higher-price things and prefer things close to daily life, the display content removes the advertisement content and the floating window display content, and is adjusted to the content which is interesting and often viewed by the old people, such as supermarket preference information of one-out egg, 5-home delivery of fresh Chinese cabbage, 8-fold preference of common medicine and the like, daily food material purchase information of vegetables, fruits, meat and the like, medicine preference information, dining information of old restaurants and the like; considering that the old people usually only pay attention to the information of dishes, supermarkets, drug stores and old restaurants, occasionally take out of business and do not pay much attention to the dining information of restaurants, especially high-grade restaurants, the display components only comprise components of old meal, supermarket shopping, dish buying, medicine buying, taking out of business, weather searching and the like, so that the old people can be guided to the user according to the contents displayed in the elder mode and embedded components, and of course, the final search and recommendation results are also generated within the contents displayed in the elder mode and embedded components; considering that the understanding ability and the understanding speed of the old people are both limited in different degrees, the display icon is as concise and understandable as possible, and the presentation form of the function verb + noun is used, and the display icon is set as a preset icon suitable for the elder to view, for example, the supermarket icon is set as "shopping in the supermarket" instead of "supermarket convenience" or "supermarket/convenience store", the shopping icon is set as "going to buy vegetables" instead of "fresh/vegetable market", the medicine buying icon is set as "going to buy medicine" instead of "medicine supermarket", and the takeout icon is set as "going to take out" instead of "food takeout"; considering that the old people often have difficulty in understanding and operating the content of each component on the page, the old people are provided with a one-key help function button, and when the user of the old people clicks the one-key help function button, a service call page can be displayed so that the old people can make a telephone consultation on the difficulty; considering that the old people are generally not skilled in online payment, the method is further provided with a family payment function button, and after the old people click the family payment function button, the old people can push the payment link to the bound family payment account or the family communication account selected by the old people. That is, in the elder mode, the display font size is equal to or greater than a preset font size, the display content is a preset elder interest content, the display component is a preset elder interest component, the display color is a preset elder viewing color, the display icon is a preset elder viewing icon, and a one-key help function button and an affinity payment function button are provided.

The amplifying mode refers to a display mode and an operation mode which are convenient for people with poor eyesight to check, use and operate information. Unlike the elder mode, in the zoom-in mode, only display elements such as fonts and display components are displayed larger, and other contents such as structural composition, color scheme, and document contents of the display components are not changed. That is, in the enlargement mode, the display font size is equal to or larger than the preset font size.

In the above embodiment, first, user face data is obtained, and based on the user face data, recognition is performed to determine whether an easy-check mode needs to be started, so as to obtain a first recognition result; then acquiring historical user behavior data, and performing identification on whether an easy-check mode needs to be started or not based on the historical user behavior data to obtain a second identification result; and finally, according to the obtained first identification result and the second identification result, comprehensively determining whether the user needs to start the easy-checking mode, and automatically starting the easy-checking mode after determining that the user needs to start the easy-checking mode. Whether can judge automatically like this and need open the easy mode of looking for, avoided the easy mode of looking for and opened the darker problem of entry to can make things convenient for old person or the not good people's of eyesight use in the at utmost, promoted user's use and experienced.

In an embodiment of the present disclosure, the first identification module 201 may be configured to:

acquiring user face data and extracting face feature data of the user face data;

and inputting the face feature data into a pre-trained face recognition model for recognition to obtain a first recognition result based on the face of the user.

In this embodiment, after obtaining the pre-trained face recognition model, the face recognition model can be directly used to recognize whether the user is an elderly person according to the face data of the user. Specifically, the face feature data of the user face data may be extracted based on the obtained user face data, where the face feature data may include one or more of the following data: skin color data, wrinkle position and number data, facial position size data, facial muscle data, and the like; and then inputting the face feature data into a face recognition model obtained by pre-training for recognition, so as to obtain a first recognition result based on the face of the user, namely, preliminarily judging whether the user is old or not from the view of the face of the user.

In an embodiment of the present disclosure, the second identification module 202 may be configured to:

acquiring historical user behavior data and extracting behavior characteristic data of the historical user behavior data;

and inputting the behavior characteristic data into a pre-trained behavior recognition model for recognition to obtain a second recognition result based on the user historical behavior.

In the embodiment, after the pre-trained behavior recognition model is obtained, the behavior recognition model can be directly used for recognizing whether the user is the old or the person with poor eyesight according to the historical user behavior data. Specifically, behavior feature data of the historical user behavior data may be extracted based on the obtained historical user behavior data, where the behavior feature data may include one or more of the following data: whether the operation is smooth or not, the feedback times, the feedback content, the help request times, the help request content and the like; and then inputting the behavior characteristic data into a behavior recognition model obtained by pre-training for recognition, so as to obtain a second recognition result based on the historical behaviors of the user, namely preliminarily judging whether the user is the old or the person with poor eyesight from the perspective of the historical behaviors of the user.

The face recognition model and the behavior recognition model can be obtained based on the prior art training according to the requirements of practical application, and are not repeated here.

In an embodiment of the present disclosure, the part of the enabling module 203, which determines whether the user needs to enable the easy-check mode according to the first recognition result and the second recognition result, may be configured to:

determining a first weight value of the first recognition result and a second weight value of the second recognition result;

calculating a weighted average of the first recognition result and the second recognition result;

and when the weighted average value is higher than a preset threshold value, determining that the user needs to start the easy-checking mode, otherwise, determining that the user does not need to start the easy-checking mode.

In order to integrate and consider a first recognition result obtained based on the face of the user and a second recognition result obtained based on the historical behavior of the user to obtain a more accurate recognition result, in the embodiment, the influence of the first recognition result and the second recognition result on the final recognition result is weighted by respectively setting weight values for the first recognition result and the second recognition result. Specifically, a first weight value of the first recognition result and a second weight value of the second recognition result are determined, where the setting of the first weight value and the second weight value may be set according to the requirement of practical application and the accuracy of the first recognition result and the second recognition result, for example, if the accuracy of the first recognition result is higher, a higher weight value may be set for the first recognition result, and otherwise, if the accuracy of the second recognition result is higher, a higher weight value may be set for the second recognition result; then calculating a weighted average value of the first recognition result and the second recognition result, wherein the weighted average value is calculated by digitizing the first recognition result and the second recognition result, and when the first recognition result and the second recognition result are probability values corresponding to different recognition results, the weighted average calculation can be directly performed, but if the first recognition result and the second recognition result are directly different recognition results, the first recognition result and the second recognition result can be digitized according to a preset digitization rule; and finally, judging whether the easy-checking mode needs to be opened or not according to the calculated weighted average value, for example, when the calculated weighted average value is higher than a preset threshold value, the user is considered to be the old or the person with poor eyesight possibly, the user can be determined to need to open the easy-checking mode at the moment, otherwise, the user is considered to be the old or the person with poor eyesight possibly, and the user can be determined not to need to open the easy-checking mode.

As mentioned above, the easy-check mode includes a lifetime mode and an enlargement mode, wherein in the enlargement mode, only the font size is displayed, and in the lifetime mode, not only the font, the display content, the display component, the display color, the display icon, and the like are provided with changes for the lifetime, in which case, the lifetime mode and the enlargement mode may be further distinguished in terms of judgment, that is, in an embodiment of the present disclosure, when the weighted average is higher than a preset threshold, it is determined that the user needs to turn on the easy-check mode, otherwise, it is determined that the user does not need to turn on the part of the easy-check mode, and the enlargement mode may be configured to:

determining that the user needs to start a grandparent mode when the weighted average is higher than a first preset threshold;

when the weighted average value is higher than a second preset threshold and lower than a first preset threshold, determining that the user needs to start an amplification mode;

and when the weighted average value is lower than a second preset threshold value, determining that the user does not need to start the easy-checking mode.

In this embodiment, two thresholds, namely a first preset threshold and a second preset threshold, are set, such that the first preset threshold is greater than the second preset threshold, and when the weighted average is higher than the first preset threshold, it may be considered that the user is an elderly person, and it is determined that the user needs to start a elder mode at this time; when the weighted average value is between the second preset threshold value and the first preset threshold value, the user may be considered as not an elderly person, and only poor eyesight, and it may be determined that the user needs to turn on the zoom-in mode; when the weighted average is lower than a second preset threshold, the user can be considered to be neither elderly nor have poor eyesight, and thus it can be determined that the user does not need to turn on the easy-check mode.

The first preset threshold and the second preset threshold may be set according to the needs of practical application, and the specific values thereof are not particularly limited in the present disclosure.

In an embodiment of the present disclosure, the apparatus may further include:

a display module configured to display a checkable mode off prompt.

After the easy mode is turned on for the user, in order to facilitate the user to switch back to the normal display mode, in this embodiment, an easy mode turn-off prompt, such as "turn off the easy mode", may be further displayed on the current display page. If the user confirms the easy-check mode closing prompt, for example, clicking to close the easy-check mode, the user can be considered to send an easy-check mode closing command, and the easy-check mode can be directly closed and switched back to the normal display mode.

That is, in an embodiment of the present disclosure, the apparatus may further include:

a shutdown module configured to shutdown the easy mode in response to receiving the easy mode shutdown command.

In another embodiment of the present disclosure, after receiving the easy-check mode closing command, the easy-check mode is not directly closed, but the user first jumps to an easy-check mode setting page, and then determines whether to close the easy-check mode according to the selection of the user on the easy-check mode.

That is, in another embodiment of the present disclosure, the shutdown module may be configured to:

after receiving an easy-check mode closing command sent by a user, jumping to an easy-check mode setting page;

displaying easy-to-check mode selection information in the easy-to-check mode setting page;

and closing the easy-checking mode in response to receiving the easy-checking mode closing confirmation command.

In an embodiment of the present disclosure, the easy-to-check mode selection information refers to information used for selecting to open or close the easy-to-check mode, for example, the easy-to-check mode selection information may be represented as a click bar, for example, in a default case, the easy-to-check mode is closed, the APP is in a normal display mode, the easy-to-check mode click bar is gray at this time, if the user clicks the easy-to-check mode click bar, it is considered that the user opens the easy-to-check mode, and the easy-to-check mode click bar is turned green at this time.

In this embodiment, it is assumed that the easy-to-check mode selection information is represented as a click bar, and when the user selects the easy-to-check mode, the easy-to-check mode click bar is green, and if the user clicks the easy-to-check mode click bar again at this time, the user is considered to confirm that the easy-to-check mode is closed, and at this time, the easy-to-check mode click bar changes back to gray.

The present disclosure also discloses an electronic device, fig. 3 shows a block diagram of an electronic device according to an embodiment of the present disclosure, and as shown in fig. 3, the electronic device 300 includes a memory 301 and a processor 302; wherein the content of the first and second substances,

the memory 301 is used to store one or more computer instructions, which are executed by the processor 302 to implement the above-described method steps.

FIG. 4 is a block diagram of a computer system suitable for use in implementing a walkthrough mode selection method according to one embodiment of the present disclosure.

As shown in fig. 4, the computer system 400 includes a processing unit 401 that can execute various processes in the above-described embodiments according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the computer system 400 are also stored. The processing unit 401, the ROM402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as necessary, so that a computer program read out therefrom is mounted into the storage section 408 as necessary. The processing unit 401 may be implemented as a CPU, a GPU, a TPU, an FPGA, an NPU, or other processing units.

In particular, the above described methods may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program tangibly embodied on a medium readable thereby, the computer program comprising program code for performing the data inspection method. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowcharts or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present disclosure may be implemented by software or hardware. The units or modules described may also be provided in a processor, and the names of the units or modules do not in some cases constitute a limitation of the units or modules themselves.

As another aspect, the present disclosure also provides a computer-readable storage medium, which may be the computer-readable storage medium included in the apparatus in the above-described embodiment; or it may be a separate computer readable storage medium not incorporated into the device. The computer readable storage medium stores one or more programs for use by one or more processors in performing the methods described in the present disclosure.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is possible without departing from the inventive concept. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Claims (10)

1. A method of easy-to-check mode selection, comprising:

acquiring user face data, and identifying the user face data to obtain a first identification result;

acquiring historical user behavior data, and identifying the historical user behavior data to obtain a second identification result;

and determining whether the user needs to start an easy-checking mode according to the first identification result and the second identification result, and starting the easy-checking mode when determining that the user needs to start the easy-checking mode.

2. The method of claim 1, wherein the obtaining of the user face data and the recognizing of the user face data to obtain the first recognition result comprises:

acquiring user face data and extracting face feature data of the user face data;

and inputting the face feature data into a pre-trained face recognition model for recognition to obtain a first recognition result based on the face of the user.

3. The method according to claim 1 or 2, wherein the obtaining of the historical user behavior data and the identifying of the historical user behavior data to obtain a second identification result comprises:

acquiring historical user behavior data and extracting behavior characteristic data of the historical user behavior data;

and inputting the behavior characteristic data into a pre-trained behavior recognition model for recognition to obtain a second recognition result based on the user historical behavior.

4. The method of claim 1 or 2, said determining whether the user needs to turn on a checkable mode according to the first recognition result and the second recognition result, comprising:

determining a first weight value of the first recognition result and a second weight value of the second recognition result;

calculating a weighted average of the first recognition result and the second recognition result;

and when the weighted average value is higher than a preset threshold value, determining that the user needs to start the easy-checking mode, otherwise, determining that the user does not need to start the easy-checking mode.

5. The method of claim 1 or 2, the easy-to-find mode comprising a grandparent mode and an enlargement mode, wherein:

in the elder mode, the display font size is larger than or equal to a preset font size, the display content is preset elder interested content, the display component is a preset elder interested component, the display color is a preset color suitable for being watched by the elder, the display icon is a preset icon suitable for being checked by the elder, and a one-key help function button and a family paying function button are arranged;

and in the amplification mode, the display font size is larger than or equal to the preset font size.

6. The method of claim 5, the determining that the user needs to turn on a vulnerable mode when the weighted average is above a preset threshold, otherwise, determining that the user does not need to turn on a vulnerable mode, comprising:

determining that the user needs to start a grandparent mode when the weighted average is higher than a first preset threshold;

when the weighted average value is higher than a second preset threshold and lower than a first preset threshold, determining that the user needs to start an amplification mode;

and when the weighted average value is lower than a second preset threshold value, determining that the user does not need to start the easy-checking mode.

7. The method of claim 1 or 2, further comprising:

and displaying the closing prompt of the easy-checking mode.

8. The method of claim 7, further comprising:

closing the easy-check mode in response to receiving the easy-check mode closing command; or

In response to receiving the easy-check mode closing command, jumping to an easy-check mode setting page;

displaying easy-to-check mode selection information in the easy-to-check mode setting page;

and closing the easy-checking mode in response to receiving the easy-checking mode closing confirmation command.

9. An easy-to-check mode selection device comprising:

the first identification module is configured to acquire user face data and identify the user face data to obtain a first identification result;

the second identification module is configured to acquire historical user behavior data, and identify the historical user behavior data to obtain a second identification result;

and the starting module is configured to determine whether the user needs to start the easy-checking mode according to the first identification result and the second identification result, and when the user needs to start the easy-checking mode, the easy-checking mode is started.

10. An electronic device comprising a memory and at least one processor; wherein the memory is to store one or more computer instructions, wherein the one or more computer instructions are to be executed by the at least one processor to implement the method steps of any one of claims 1-8.

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