CN112016077A

CN112016077A - Page information acquisition method and device based on sliding track simulation and electronic equipment

Info

Publication number: CN112016077A
Application number: CN202010676520.XA
Authority: CN
Inventors: 朱杰; 宋荣鑫; 黄建庭
Original assignee: Beijing Qiyu Information Technology Co Ltd
Current assignee: Beijing Qiyu Information Technology Co Ltd
Priority date: 2020-07-14
Filing date: 2020-07-14
Publication date: 2020-12-01
Anticipated expiration: 2040-07-14
Also published as: CN112016077B

Abstract

The invention discloses a page information acquisition method based on sliding track simulation, which comprises the following steps: acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises starting position information and end position information of a slider; substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information; the sliding track simulation information is sent to a verification server side for sliding verification of the sliding block; and after the verification is passed, accessing the information page to acquire page information. According to the method, the model of machine learning training can be adopted to simulate various detailed characteristics during manual slider verification, user participation is not required, the efficiency is high, the error is small, a user can conveniently, quickly and simply obtain page information, and the user experience is improved.

Description

Page information acquisition method and device based on sliding track simulation and electronic equipment

Technical Field

The invention relates to the field of computer information processing, in particular to a method and a device for acquiring page information based on sliding track simulation, electronic equipment and a computer readable medium.

Background

With the development of communication technology and the popularization of intelligent terminals, various types of applications emerge endlessly, almost every link and any corner of normal life can be covered basically, great convenience is brought to production and life, and people increasingly rely on personal mobile intelligent terminals for life. At present, when the personal mobile terminal is used, the main mode for realizing man-machine interaction still depends on the input operation of a touch screen, and the mode is visible, convenient and direct. However, for some users with limited operations due to various reasons, the touch interaction mode cannot be adopted, so that most of interaction functions are lost in the use of the personal mobile terminal, convenience brought by scientific and technological development cannot be enjoyed, and extremely poor user experience is caused.

In the prior art, an external control device is often adopted for the part of users, and the interaction with the mobile terminal is controlled in a mode of a joystick and a button, so that the users can conveniently realize most of interactive operations. The above approach has difficulties in addressing slider authentication. The slider verification is that various parameter characteristics of a user sliding the slider are collected to judge that the current user is a real user so as to prevent malicious access, and a joystick cannot pass through the real parameter verification of the slider sliding when interaction is realized, so that the user cannot acquire page information, and many websites or applications cannot enter the system.

In addition, other interaction modes, such as capturing the eye spirit to realize interaction or collecting command signals to realize interaction in a human brain implantation mode, are developed in the prior art, but the development of the technologies is not mature, the price is high, and the technologies are not suitable for large-scale commercial popularization and use at present.

Therefore, a new page information acquisition method, device, electronic device and computer readable storage medium are needed.

The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.

Disclosure of Invention

In view of this, the present disclosure provides a method and an apparatus for acquiring page information based on sliding trajectory simulation, an electronic device, and a computer readable medium, which can simulate various detailed features during manual slider verification by using a model of machine learning training, do not require user participation, have high efficiency and small error, and are convenient for a user to quickly and simply acquire page information, thereby improving user experience.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to one aspect of the disclosure, a method for acquiring page information based on sliding track simulation is provided, which includes: acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises the starting position information and the end position information of a slider; substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information; the sliding track simulation information is sent to a verification server side for sliding verification of the sliding block; and after the verification is passed, accessing the information page to acquire page information.

Optionally, the obtaining of the slider verification information based on the slider verification page identification further includes: screenshot to obtain a slider verification page picture; and identifying the slide block and the slide block track by using an image identification technology to acquire the initial position information and the end position information of the slide block.

Optionally, the method further comprises: the sliding track simulation information is track data with time marks.

Optionally, the track data includes slider position information data and slider speed information data.

Optionally, the slider position information data includes original position information data or processed position information data.

Optionally, the processed location information data further includes: and carrying out normalization processing or percentage processing on the original position information data.

Optionally, the method further comprises: collecting sample data aiming at different types of slider verification pages, wherein the sample data comprises page data and track data generated when a slider is manually slid; and training and constructing a sliding track simulation model based on the sample data.

Optionally, the page data further includes: capturing the different types of slider verification pages to obtain a slider verification page picture; and identifying the slide block and the slide block track by using an image identification technology to acquire the initial position information and the end position information of the slide block.

Optionally, the method further comprises: the verification server is arranged in the server or arranged locally.

According to an aspect of the present disclosure, a device for obtaining page information based on sliding track simulation is provided, including: the page module is used for acquiring a first page, and the first page comprises an information page and a slider verification page above the information page; the information module is used for acquiring slider verification information based on the slider verification page identification, and the slider verification information comprises starting position information and end position information of a slider; the simulation module is used for substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information; the verification module is used for sending the sliding track simulation information to a verification server side for sliding verification of the sliding block; and the acquisition module is used for acquiring the page information of the information page after the verification is passed.

Optionally, the information module further comprises: the screenshot unit is used for screenshot to obtain a slide block verification page picture; and the identification unit is used for identifying the slide block and the slide block track by utilizing an image identification technology so as to acquire the initial position and the final position of the slide block.

Optionally, the method further comprises: the sample collection module is used for collecting sample data aiming at different types of slider verification pages, wherein the sample data comprises page data and track data generated when a slider is manually slid; and the model training module is used for training and forming a sliding track simulation model based on the sample data.

Optionally, the sample collection module further comprises: the sample screenshot unit is used for screenshot of the different types of the slider verification pages to obtain a slider verification page picture; and the sample identification unit is used for identifying the slide block and the slide block track by utilizing an image identification technology so as to acquire the initial position information and the end position information of the slide block.

According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as above.

According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as above.

According to the sliding track simulation-based page information acquisition method and device, the electronic equipment and the computer-readable medium, a first page is acquired, wherein the first page comprises an information page and a slider verification page above the information page; acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises the starting position information and the end position information of a slider; substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information; the sliding track simulation information is sent to a verification server side for sliding verification of the sliding block; after the verification is passed, the information page is accessed to obtain the page information, various detail characteristics during manual slider verification can be simulated by adopting a model for machine learning training, the participation of a user is not needed, the efficiency is high, the error is small, the user can conveniently, quickly and simply obtain the page information, and the user experience is improved.

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

In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive faculty.

Fig. 1 is a system block diagram illustrating a method and an apparatus for page retrieval based on sliding trajectory simulation according to an exemplary embodiment.

Fig. 2 is a flowchart illustrating a page information acquisition method based on a sliding trajectory simulation according to an exemplary embodiment.

FIG. 3 is a schematic diagram illustrating a first page in accordance with an exemplary embodiment.

FIG. 4 is a diagram illustrating a first page after image recognition, according to an example embodiment.

FIG. 5 is a flow diagram illustrating the generation of a sliding trajectory simulation model according to an exemplary embodiment.

FIG. 6 is a flow diagram illustrating the generation of a sliding trajectory simulation model according to another exemplary embodiment.

Fig. 7 is a block diagram illustrating a page information acquiring apparatus based on a sliding trajectory simulation according to an exemplary embodiment.

Fig. 8 is a block diagram illustrating a sliding trajectory simulation model generation apparatus according to an exemplary embodiment.

Fig. 9 is a block diagram illustrating a sliding trajectory simulation model generation apparatus according to another exemplary embodiment.

FIG. 10 is a block diagram illustrating an electronic device in accordance with an example embodiment.

FIG. 11 is a block diagram illustrating a computer-readable medium in accordance with an example embodiment.

Detailed Description

Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art. The same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.

Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.

In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

It will be understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these terms should not be construed as limiting. These phrases are used to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention.

The term "and/or" and/or "includes any and all combinations of one or more of the associated listed items.

As shown in fig. 1, the system architecture 10 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. The network 103 is also used to provide a medium for communication links between the terminal devices 101, 102, 103. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication mobile applications installed thereon, such as a financial services application, a shopping application, a web browser application, an instant messaging tool, a mailbox mobile, social platform software, and the like.

The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server that provides various services, such as a background management server that provides support for various applications used by users with the terminal devices 101, 102, 103. The background management server may perform processing such as analysis on the received user data, and feed back a processing result (for example, sending page content based on the verification-qualified information, etc.) to the terminal apparatuses 101, 102, 103.

The terminal device 101, 102, 103 may for example obtain a first page comprising an information page and a slider verification page above the information page; the terminal device 101, 102, 103 may obtain slider verification information including start position information and end position information of the slider, for example, based on the slider verification page identification; the terminal devices 101, 102, 103 may calculate sliding track simulation information by substituting the slider verification information into a sliding track simulation model, for example; the terminal devices 101, 102, 103 may send the sliding track simulation information to a verification server for slider sliding verification, for example; the terminal device 101, 102, 103 may access the information page to obtain page information, e.g. after the authentication has passed.

Fig. 2 is a flowchart illustrating a page information acquisition method based on a sliding trajectory simulation according to an exemplary embodiment. The method for acquiring page information based on sliding track simulation at least comprises steps S201 to S205.

In step S201, a first page is acquired

And acquiring a first page at the user terminal, wherein the first page comprises an information page and a slider verification page above the information page.

FIG. 3 is a schematic diagram illustrating a first page in accordance with an exemplary embodiment. As shown in fig. 3, a first page is obtained at the user terminal, and the first page may be a login page or an authentication page appearing in an actual use application or a browsing web page. The first page comprises an information page used for showing specific information to a user, and a slider verification page positioned on the information page and used for detecting whether the current user is a real person or not.

More specifically, only the user side who verifies the page verification through the slider can continue to browse the information page in the first page to obtain the required information.

In step S202, slider authentication information is acquired

And acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises the starting position information and the end position information of the slider.

More specifically, a first page picture is captured, and the slider track are identified by using an image identification technology to obtain initial position information and end position information of the slider.

FIG. 4 is a diagram illustrating a first page after image recognition, according to an example embodiment. As shown in fig. 4, image recognition is performed on the first page picture obtained from the screenshot to obtain a first page frame 400 after structural elementization. The first page frame 400 is a page frame adapted to the size of the display screen of the user terminal, and has thereon an information page frame 401, a slider verification page frame 402, a slider track frame 403, and a slider frame 404.

Taking the first page frame 400 as a coordinate system, any point in the first page frame can be selected as a coordinate origin, and position information of other frames in the coordinate system is obtained. Preferably, the first frame center point or four corner points are taken as coordinate origin points. The slide block frame can judge and generate the frame position according to the central point or the corner point position, the initial position is collected as the initial position information of the slide block frame, the right side column position of the slide block track frame or the side length position of the slide block moved in the right side column is the end point position of the slide block,

more specifically, the end position may be represented by the formula a ═ S + (L-b), where a is the slider end position data, S is the slider initial position data, L is the slider track length data, and b is the slider side length data. For example, when the left corner position of the slider frame is used as the starting position of the slider, the right side of the track frame is moved inward by one side length of the slider to be used as the end position.

The position information of each frame may be measured in units of length, or may be measured in the number of pixel points, and is preferably measured in the number of pixel points.

In step S203, slider trajectory simulation information is calculated

And substituting the slider verification information acquired in the step S202 into a sliding track simulation model to calculate to obtain sliding track simulation information.

Specifically, the sliding track simulation information is track data with time identification generated by simulating an artificial sliding slider, and is preferably a time sequence array.

Preferably, the trajectory data may include distance data, position data, speed data, offset data, and the like of the slider sliding.

More specifically, the distance data includes the distance the slider moves, which may be an absolute distance or a relative distance with respect to the page.

The position data includes slider start and end position information, which is position information with respect to a plane of coordinates that is a page.

The speed data includes a sliding speed of the slider.

The offset data includes offset data of the contact surface from the center line of the slider track when simulating manual sliding.

Preferably, the distance and position data may be absolute value data, may be data obtained by normalizing a time series array, and may also be data relative to a page frame (percentage data of a screen size).

In step S204, slider sliding verification

And sending the sliding track simulation information generated in the step S203 to a verification server for sliding slider verification.

More specifically, the sliding track simulation information is sent to a verification server, and if the sliding track simulation information meets the verification rule, the verification server sends a verification code to the client terminal, so that the client terminal passes the verification. And if the verification rule is not met, the verification server side sends verification failure information to the client side.

The verification server can be arranged at a server end and interacts with the user terminal through a network; or the system can be arranged locally to directly call an internal program interface to perform interaction. Preferably, the location is local.

In step S205, page information is acquired

After the user terminal obtains the verification code sent in step S204, the user terminal may access the information page to obtain information page information.

FIG. 5 is a flow diagram illustrating the generation of a sliding trajectory simulation model according to an exemplary embodiment. As shown in fig. 5, generating the sliding trajectory simulation model as in step S203 includes at least steps S501 to S504.

In step S501, a sample picture is acquired

And acquiring different types of user pages using the slider verification page, and capturing the user pages to be used as sample pictures.

In step S502, sample information is identified

And performing structural element processing on the sample picture acquired in the step S501 by using an image recognition method to acquire element frames of the page, so as to acquire position information of the frames.

Preferably, the slider and the slider track are identified to obtain the initial position information and the end position information of the slider.

In step S503, slip data is collected

And collecting slider change signal information generated when the slider is manually slid by adopting a verification mode of the manual sliding slider, wherein the information is track data with time identification, and preferably a time sequence array.

The speed data includes a sliding speed of the slider.

In step S504, the generative model is trained.

And taking the data acquired in the steps S502 and S503 as sample data, and constructing a model by adopting a machine learning method, wherein an input layer of the model is slide block verification information data, and an output layer of the model is sliding track simulation information.

FIG. 6 is a flow diagram illustrating the generation of a sliding trajectory simulation model according to another exemplary embodiment. As shown in fig. 6, generating the sliding trajectory simulation model includes at least steps S601 to S605.

In step S601, a sample picture is acquired

In step S602, sample information is identified

And performing structural element processing on the sample picture acquired in the step S601 by using an image recognition method to acquire element frames of the page, so as to acquire position information of the frames.

In step S603, slip data is collected

The speed data includes a sliding speed of the slider.

In step S604, user information is acquired

And acquiring information of the manual sliding user, and connecting the information with sliding data collected when the user slides the slider.

The user information may be identity information, attribute information, behavior information, financial information, and the like of the user, which may be used for analyzing to obtain information of the user type, or may be a user type tag generated after analysis.

In step S605, a generative model is trained.

And taking the data acquired in the steps S602, S603 and S604 as sample data, and constructing a model by adopting a machine learning method, wherein the input layer of the model is the slider verification information data and the user information, and the output layer is the sliding track simulation information.

The model can be used for simulating track simulation information formed when a user of a specific type slides the slider. Therefore, when the method shown in fig. 2 is used, the slider verification information obtained from step S202 and the user information obtained in other ways may be simultaneously substituted at step S203, so as to calculate the sliding trajectory simulation information conforming to the characteristics of the current user type by using the sliding trajectory simulation model obtained by training the method shown in fig. 6 at step S203.

It should be noted that, the image recognition method and the model training method mentioned in the present disclosure all use methods commonly used in the art, and do not need to specially design or create new methods, so that specific methods are not described in the present disclosure.

Those skilled in the art will appreciate that all or part of the steps to implement the above-described embodiments are implemented as programs (computer programs) executed by a computer data processing apparatus. When the computer program is executed, the method provided by the invention can be realized. Furthermore, the computer program may be stored in a computer readable storage medium, which may be a readable storage medium such as a magnetic disk, an optical disk, a ROM, a RAM, or a storage array composed of a plurality of storage media, such as a magnetic disk or a magnetic tape storage array. The storage medium is not limited to centralized storage, but may be distributed storage, such as cloud storage based on cloud computing.

Embodiments of the apparatus of the present invention are described below, which may be used to perform method embodiments of the present invention. The details described in the device embodiments of the invention should be regarded as complementary to the above-described method embodiments; reference is made to the above-described method embodiments for details not disclosed in the apparatus embodiments of the invention.

As shown in fig. 7, the page information acquiring apparatus 70 based on sliding track simulation includes a page module 701, an information module 702, a simulation module 703, a verification module 704, and an acquisition module 705.

The page module 701 is configured to obtain a first page, where the first page includes an information page and a slider verification page above the information page.

More specifically, the page module 701 is configured to obtain a first page at the user terminal, where the first page may be a login page or an authentication page appearing in an actual application or a browsing webpage. The first page comprises an information page used for showing specific information to a user, and a slider verification page positioned on the information page and used for detecting whether the current user is a real person or not.

An information module 702 is configured to obtain slider verification information based on the slider verification page identification, where the slider verification information includes start position information and end position information of a slider.

The information module 702 includes a screenshot element and an identification element. The identification unit identifies the slide block and the slide block track by using an image identification technology to the picture obtained by screenshot of the screenshot unit so as to obtain the initial position information and the end position information of the slide block.

And the simulation module 703 is configured to substitute the slider verification information into a sliding trajectory simulation model to calculate to obtain sliding trajectory simulation information.

The speed data includes a sliding speed of the slider.

And the verification module 704 is used for sending the sliding track simulation information to a verification server for slider sliding verification.

More specifically, the verification module 704 sends the sliding track simulation information to the verification server, and if the sliding track simulation information meets the verification rule, the verification server sends a verification code to the client terminal, so that the client terminal passes the verification. And if the verification rule is not met, the verification server side sends verification failure information to the client side.

The obtaining module 705 is configured to obtain the page information of the information page after the verification is passed.

Fig. 8 is a block diagram illustrating a sliding trajectory simulation model generation apparatus according to an exemplary embodiment. As shown in fig. 8, the sliding trajectory simulation model generation apparatus 80 includes a sample collection module 801 and a model training module 802.

The sample collection module 801 is configured to collect sample data for different types of slider verification pages, where the sample data includes page data and trajectory data generated when a slider is manually slid.

In one embodiment, the sample collection module 801 includes a sample capture unit, a sample identification unit, and a slide record unit.

The sample screenshot unit is used for screenshot of the different types of the slider verification pages to obtain a slider verification page picture; the sample identification unit is used for identifying the slide block and the slide block track by utilizing an image identification technology so as to obtain the initial position information and the end position information of the slide block; the sliding recording unit is used for collecting sliding block change signal information generated when the sliding block is manually slid by adopting a mode that the sliding block is manually slid through verification, wherein the information is track data with time identification, and preferably a time sequence array.

And a model training module 802, configured to train and construct a sliding trajectory simulation model based on the sample data.

As shown in fig. 9, in another embodiment, the model sliding trajectory simulation model generation apparatus further includes a user information module 903 in addition to the sample collection module 901 and the model training module 902, for obtaining user information. The user information may be identity information, attribute information, behavior information, financial information, and the like of the user, which may be used for analyzing to obtain information of the user type, or may be a user type tag generated after analysis.

The model training unit 902 acquires data acquired by the sample collection module 901 and information data acquired by the user information module 903, and performs training to obtain a sliding trajectory simulation model.

The model can be used for simulating track simulation information formed when a user of a specific type slides the slider. Therefore, the simulation module 703 substitutes the slider verification information and the user information obtained in other ways at the same time to calculate and obtain the sliding trajectory simulation information according to the current user type characteristics by using the sliding trajectory simulation model obtained by the device training shown in fig. 9.

Those skilled in the art will appreciate that the modules in the above-described embodiments of the apparatus may be distributed as described in the apparatus, and may be correspondingly modified and distributed in one or more apparatuses other than the above-described embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.

In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.

Fig. 10 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. An electronic apparatus 1000 according to the embodiment of the present invention is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. The components of the electronic device 1000 may include, but are not limited to: at least one processing unit 1010, at least one memory unit 1020, a bus 1030 that couples various system components including the memory unit 1020 and the processing unit 1010, a display unit 1040, and the like.

Wherein the storage unit stores program code executable by the processing unit 1010 to cause the processing unit 1010 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 1010 may perform the steps shown in fig. 2.

The memory unit 1020 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)10201 and/or a cache memory unit 10202, and may further include a read only memory unit (ROM) 10203.

The memory unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1030 may be any one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, and a local bus using any of a variety of bus architectures.

The electronic device 1000 may also communicate with one or more external devices 1000' (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interfaces 1050. Also, the electronic device 1000 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1060. A network adapter 1060 may communicate with other modules of the electronic device 1000 via the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention. The computer program, when executed by a data processing apparatus, enables the computer readable medium to carry out the above-described methods of the invention.

The computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

In summary, the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.

While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.

Claims

1. A page information acquisition method based on sliding track simulation is characterized by comprising the following steps:

acquiring a first page, wherein the first page comprises an information page and a slider verification page above the information page;

acquiring slider verification information based on the slider verification page identification, wherein the slider verification information comprises the starting position information and the end position information of a slider;

substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information;

the sliding track simulation information is sent to a verification server side for sliding verification of the sliding block;

and after the verification is passed, accessing the information page to acquire page information.

2. The method of claim 1, wherein obtaining slider verification information based on slider verification page identification further comprises:

screenshot to obtain the first page picture;

and identifying the slide block and the slide block track by using an image identification technology to acquire the initial position information and the end position information of the slide block.

3. The method according to any one of claims 1-2, further comprising: the sliding track simulation information is track data with time marks.

4. A method according to any of claims 1-3, wherein the trajectory data comprises slider position information data, slider velocity information data.

5. The method of any of claims 1-4, wherein the slider position information data comprises raw position information data or processed position information data.

6. The method according to any one of claims 1-5, wherein the processed location information data further comprises:

and carrying out normalization processing or percentage processing on the original position information data.

7. The method of any one of claims 1-6, further comprising:

collecting sample data aiming at different types of slider verification pages, wherein the sample data comprises page data and track data generated when a slider is manually slid;

and training and constructing a sliding track simulation model based on the sample data.

8. A page information acquisition device based on sliding track simulation is characterized by comprising:

the page module is used for acquiring a first page, and the first page comprises an information page and a slider verification page above the information page;

the information module is used for acquiring slider verification information based on the slider verification page identification, and the slider verification information comprises starting position information and end position information of a slider;

the simulation module is used for substituting the slider verification information into a sliding track simulation model to calculate to obtain sliding track simulation information;

the verification module is used for sending the sliding track simulation information to a verification server side for sliding verification of the sliding block;

and the acquisition module is used for acquiring the page information of the information page after the verification is passed.

9. An electronic device, wherein the electronic device comprises:

a processor; and the number of the first and second groups,

a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.

10. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-7.