CN113672159B - Wind control method, wind control device, computing equipment and computer storage medium - Google Patents
Wind control method, wind control device, computing equipment and computer storage medium Download PDFInfo
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Abstract
The invention discloses a wind control method, a wind control device, a computing device and a computer storage medium. The method comprises the following steps: acquiring a first gesture track which is input by a user on a gesture track recording layer and used for wind control verification; analyzing a plurality of image layer pixel points of the first gesture track marked on the gesture track recording image layer, and determining first gesture track data corresponding to a plurality of dimensions; when the triggering operation of the user is monitored, acquiring a second gesture track to be verified, which is input by the user on a gesture track recording layer, analyzing a plurality of layer pixel points, which are marked by the second gesture track on the gesture track recording layer, and determining second gesture track data corresponding to a plurality of dimensions; matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions, and determining a wind control verification result according to the matching result; and the user triggering operation is processed according to the wind control verification result, wind control verification is not needed by means of user privacy data, and the method is simple, efficient and quick.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a wind control method, a wind control device, a computing device and a computer storage medium.
Background
Although various wind control verification modes exist in the wind control field in the current internet products, the various modes are built on the premise of privacy data of the terminal user, and on the premise of fingerprint data of the terminal user, face identification data, identity cards and mobile phone number data, and on the premise of collecting hardware physical properties such as mobile terminal charge and discharge identification, temperature light sensor and gyroscope sensor, positioning, network and other data.
Although a series of user privacy data are collected, a hacker organization or a professional information attack and defense team can quickly acquire the user privacy data so as to break the protection means of software, in addition, with the gradual improvement of the personal privacy data protection consciousness of vast users, various terminal system developers gradually improve the system-level privacy protection strategy, the market supervision is gradually perfected, and wind control is more and more difficult to implement by collecting the user privacy data, especially for Internet companies in the development of small and medium enterprises.
Therefore, how to avoid the effect that user privacy must be collected to achieve accurate and effective risk prevention and control is an urgent problem that must be solved.
Disclosure of Invention
The present invention has been made in view of the above-mentioned problems, and it is an object of the present invention to provide a wind control method, apparatus, computing device and computer storage medium that overcomes or at least partially solves the above-mentioned problems.
According to one aspect of the present invention, there is provided a wind control method comprising:
acquiring a first gesture track which is input by a user on a gesture track recording layer and used for wind control verification;
analyzing a plurality of image layer pixel points of the first gesture track marked on the gesture track recording image layer, and determining first gesture track data corresponding to a plurality of dimensions;
when the triggering operation of the user is monitored, acquiring a second gesture track to be verified, which is input by the user on a gesture track recording layer, analyzing a plurality of layer pixel points, which are marked by the second gesture track on the gesture track recording layer, and determining second gesture track data corresponding to a plurality of dimensions;
matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions, and determining a wind control verification result according to the matching result;
and processing the user triggering operation according to the wind control verification result.
According to another aspect of the present invention, there is provided a wind control device including:
the first acquisition module is suitable for acquiring a first gesture track which is input on the gesture track recording layer by a user and used for wind control verification;
the first analysis module is suitable for analyzing a plurality of layer pixel points of the first gesture track marked on the gesture track recording layer and determining first gesture track data corresponding to a plurality of dimensions;
the second acquisition module is suitable for acquiring a second gesture track to be verified, which is input by a user on the gesture track recording layer, when the triggering operation of the user is monitored;
the second analysis module is suitable for analyzing a plurality of image layer pixel points of the second gesture track marked on the gesture track recording image layer and determining second gesture track data corresponding to a plurality of dimensions;
the matching module is suitable for matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions;
the determining module is suitable for determining a wind control verification result according to the matching result;
and the processing module is suitable for processing the user triggering operation according to the wind control verification result.
According to yet another aspect of the present invention, there is provided a computing device comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface are communicated with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the wind control method.
According to still another aspect of the present invention, there is provided a computer storage medium having at least one executable instruction stored therein, the executable instruction causing a processor to perform operations corresponding to the wind control method described above.
According to the scheme provided by the invention, the user privacy data does not need to be collected, the wind control verification is carried out through the gesture track without anchor point positioning, the wind control verification mode is simple, efficient and quick, risk prevention and control can be accurately carried out, the problem that the user privacy data can be effectively verified only through the user privacy data when the current Internet product frequently acquires the user privacy data in the wind control prevention and control process is solved, and therefore the user retention rate is effectively improved, and the problem of user loss is avoided.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1A shows a schematic flow diagram of a method of wind control according to one embodiment of the invention;
FIG. 1B is a schematic diagram of a gesture track recording layer;
FIG. 1C is a schematic diagram of three-dimensional first gesture track data;
FIG. 2 illustrates a schematic structural view of an air control device according to one embodiment of the present invention;
FIG. 3 illustrates a schematic diagram of a computing device, according to one embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
FIG. 1A shows a schematic flow diagram of a method of air control according to one embodiment of the invention. As shown in fig. 1A, the method comprises the steps of:
step S101, a first gesture track which is input on a gesture track recording layer by a user and used for wind control verification is obtained.
In order to effectively perform risk control, when a user uses a software application or registers for the first time, the user is required to input a first gesture track, which is mainly used for performing wind control verification, in this embodiment, a presentation layer of the software application fills a gesture track recording layer completely adapting to the size of a terminal screen, the gesture track recording layer is a digital block layer, and includes a plurality of layer pixels, all pixel areas of a terminal screen display area have evenly distributed layer pixels, a specific digital code is behind each layer pixel point, and the user can input the first gesture track for wind control verification on the gesture track recording layer, so that the user is required to acquire the first gesture track for wind control verification, which is input on the gesture track recording layer by the user.
Wherein the presentation layer of the software application provides an interactive interface for the user to display data and receive data entered by the user. Colloquially is an interface presented to a user, i.e., what the user sees while using a software application.
Fig. 1B is a schematic diagram of a gesture track recording layer, and as shown in fig. 1B, a20 represents one layer pixel of the gesture track recording layer, where for schematic illustration, the gesture track recording layer is transversely split into 20 transverse square bars, and longitudinally split into 10 longitudinal square bars, and it should be noted that the area occupied by the layer pixel is very small.
It should be noted that, when the user inputs the first gesture track, the user only needs to slide the finger randomly on the software interface, and the user is prompted to remember the general area and track of the gesture before or during the sliding process, so that the user can conveniently use the gesture to verify in the wind control verification links such as related to the user sensitive information or related to the fund flow in the future.
Step S102, analyzing a plurality of layer pixels of the first gesture track scribed in the gesture track recording layer, and determining first gesture track data corresponding to a plurality of dimensions.
The first gesture track is drawn on the gesture track recording layer, the layer pixel points covered by the first gesture track are the plurality of layer pixel points drawn by the first gesture track on the gesture track recording layer, after the plurality of layer pixel points are determined, the plurality of layer pixel points are analyzed to obtain first gesture track data corresponding to a plurality of dimensions, and the first gesture track data of the plurality of dimensions are mainly used for wind control verification. The first gesture track data is data related to the first gesture track, and each dimension corresponds to one piece of first gesture track data.
After the first gesture track data corresponding to the multiple dimensions are determined, the first gesture track data corresponding to the multiple dimensions can be stored in the track database, so that when the user needs to perform wind control verification in the application and use process, the wind control verification can be performed by using the first gesture track data corresponding to the multiple dimensions recorded in the track database.
In addition, a plurality of layer pixels of the first gesture track, which are marked by the gesture track recording layer, can be recorded in the track database according to the sequence, so that secondary verification can be performed based on the plurality of layer pixels recorded in the track data if the first gesture track data corresponding to the plurality of dimensions recorded in the track database is ambiguous.
Step S103, when the triggering operation of the user is monitored, a second gesture track to be verified, which is input by the user on the gesture track recording layer, is obtained, a plurality of layer pixel points, which are marked by the second gesture track on the gesture track recording layer, are analyzed, and second gesture track data corresponding to a plurality of dimensions are determined.
In the process of using the software application, a user may perform some user triggering operations, for example, a personal information inquiry operation or a transaction transfer operation, etc., and in general, the user triggering operations are performed and wind control verification needs to be performed, specifically, when the user triggering operation is monitored, the user needs to input a second gesture track to be verified, where the second gesture track to be verified, which is input by the user on a gesture track recording layer, needs to be acquired, and then a plurality of image layer pixels, which are scribed by the second gesture track on the gesture track recording layer, are analyzed to determine second gesture track data corresponding to a plurality of dimensions. The second gesture track data is input by a user in the process of using the software application, and the second gesture track data is data related to the second gesture track, and each dimension corresponds to one piece of second gesture track data.
Step S104, matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions, and determining a wind control verification result according to the matching result.
After the second gesture track data of the multiple dimensions are obtained, the second gesture track data corresponding to the multiple dimensions needs to be verified to determine whether the user has corresponding rights, for example, the second gesture track data corresponding to the multiple dimensions can be matched with the first gesture track data corresponding to the multiple dimensions, when the first gesture track data and the second gesture track data of the same dimensions are matched, the obtained matching result can be matched or unmatched, a matching result can be obtained for each dimension, and finally, a wind control verification result is determined according to the matching result of the multiple dimensions, wherein the wind control verification result can be that the wind control verification is passed or the wind control verification is not passed.
Step S105, the user triggering operation is processed according to the wind control verification result.
After the wind control verification result is obtained, the user triggering operation can be processed according to the wind control verification result, if the wind control verification result is that the wind control verification is passed, the user identity verification is indicated to be passed, the user has corresponding authority, the user is allowed to execute corresponding operation, for example, personal information inquiry operation, and a personal information check page can be presented for the user; transaction transfer operations, which may be transaction transfer processes, etc.; if the wind control verification result is that the wind control verification is not passed, the user identity verification is not passed, the user does not have corresponding authority, the operation executed by the user is refused, no page response processing is performed, and in addition, the user can be prompted that the wind control verification fails.
In an alternative embodiment of the invention, the plurality of dimensions includes: the track center point fuzzy matching dimension, the characteristic value proportion function verification dimension and the gesture track total length dimension are different in calculation modes of first gesture track data corresponding to the dimensions.
For a track center point fuzzy matching dimension, the first gesture track data corresponding to the dimension can be calculated by the following method: acquiring pixel point coordinate values of a plurality of image layer pixel points of a first gesture track drawn on a gesture track recording image layer; and calculating the average value of pixel point coordinate values of the pixel points of the multiple layers, and determining first gesture track data corresponding to the fuzzy matching dimension of the track center point according to the average value.
The first gesture track is drawn on the gesture track recording layer, the layer pixel points covered by the first gesture track are a plurality of layer pixel points drawn by the first gesture track on the gesture track recording layer, wherein each pixel layer pixel point of the gesture track recording layer has corresponding pixel point coordinate values, therefore, after the plurality of layer pixel points are determined, the pixel point coordinate values of the plurality of layer pixel points can be obtained, then, the average value of the pixel point coordinate values of the plurality of layer pixel points is calculated, first gesture track data corresponding to the fuzzy matching dimension of the track center point is determined according to the average value, for example, the layer pixel point serving as the track center point is determined according to the average value, and the pixel coordinate value of the layer pixel point serving as the track center point is determined as the first gesture track data corresponding to the fuzzy matching dimension of the track center point.
However, if only the pixel coordinate value of the layer pixel point serving as the track center point is determined as the first gesture track data corresponding to the track center point fuzzy matching dimension, when the user is required to perform wind control verification, the input second gesture track is completely consistent with the first gesture track, and under the condition that no anchor point exists, the condition that the wind control verification is not passed easily occurs, in order to improve the wind control verification passing rate, the normal use rights of the user are ensured, and the fault tolerance can be increased, in particular, the layer pixel point associated with the average value is determined; and carrying out track center point fault tolerance processing according to pixel point coordinate values of the image layer pixel points related to the average value, and determining the pixel point coordinate values of the image layer pixel points subjected to the fault tolerance processing as first gesture track data corresponding to the track center point fuzzy matching dimension.
In this embodiment, the pixel coordinate values of the pixel points of the image layer may be specifically expressed as (x, y), where the values of x and y are integers, and the average value of the pixel coordinate values of the pixel points of the image layer may be an integer or a decimal, so if the average value is an integer, the pixel point of the image layer associated with the average value, that is, the pixel point of the image layer corresponding to the pixel coordinate value of the pixel point matched with the average value, may be determined directly according to the average value, that is, the pixel point of the image layer associated with the average value.
After determining the image layer pixel points associated with the average value, performing the fault-tolerant processing of the track center point according to the pixel point coordinate values of the image layer pixel points associated with the average value, wherein the fault-tolerant processing of the track center point is to enlarge the image layer pixel points capable of being used as the track center point, for example, the image layer pixel points adjacent to the image layer pixel points associated with the average value in the up-down, left-right directions can be used as the fault-tolerant track center point, and then, the pixel point coordinate values of a plurality of image layer pixel points after the fault-tolerant processing are determined as first gesture track data corresponding to the fuzzy matching dimension of the track center point so as to improve the wind control verification passing rate.
For the feature value proportion function verification dimension, the first gesture track data corresponding to the dimension can be calculated by the following method: acquiring pixel point coordinate values of a preset number of image layer pixel points of a first gesture track in the directions of the gesture track recording image layer;
calculating the average value of pixel coordinate values of a preset number of image layer pixel points in any direction, and determining the image layer pixel points associated with the average value;
and determining first gesture track data corresponding to the feature value proportion function verification dimension according to pixel point coordinate values of the image layer pixel points related to the average values in the upper, lower, left and right directions.
After determining the drawn pixel points of the multiple layers, acquiring pixel point coordinate values of a preset number of pixel points of the layers of the first gesture track in the up-down, left-right directions of the gesture track recording layer, for example, acquiring pixel point coordinate values of 10 pixel points of the layers of the gesture track recording layer in each direction; for any direction, calculating the average value of pixel coordinate values of a preset number of image layer pixel points, determining image layer pixel points associated with the average value, for example, respectively calculating the average value of horizontal coordinates of the preset number of image layer pixel points and the average value of vertical coordinates of the preset number of image layer pixel points, wherein the average value of the horizontal coordinates and the average value of the vertical coordinates are taken as the average value of pixel coordinate values of the preset number of image layer pixel points in the direction; determining first gesture track data corresponding to the verification dimension of the characteristic value proportion function according to pixel point coordinate values of image layer pixel points related to average values in the upper, lower, left and right directions, for example, the image layer pixel points related to the average values in the upper, lower, left and right directions are similar to those described above, and are not repeated here, then calculating distances between the four related image layer pixel points and the center of a terminal screen, wherein the terminal screen center coordinate values are (0, 0), and after the distances are calculated, calculating corresponding ratios, for example, the ratio of the distances in the right direction to the distances in the left direction; a ratio of a distance in the lower direction to a distance in the upper direction.
For the dimension of the total length of the gesture track, the first gesture track data corresponding to the dimension can be calculated by the following method:
counting the total number of a plurality of image layer pixel points of the first gesture track drawn on the gesture track recording image layer, and determining first gesture track data corresponding to the dimension of the total length of the gesture track according to the total number.
After the first gesture track is scratched on the gesture track recording layer, the layer pixel points covered by the first gesture track are a plurality of layer pixel points scratched by the first gesture track on the gesture track recording layer, after the plurality of scratched layer pixel points are determined, the total number of the scratched layer pixel points can be counted, the total number is determined as the total length of the first gesture track, and the total length can be determined as first gesture track data corresponding to the total length dimension of the gesture track.
In order to improve the wind control verification passing rate and ensure the normal usage rights of the user, the fault tolerance may be increased herein, specifically, the fault tolerance processing of the total gesture track length may be performed according to the total number, for example, increasing or decreasing the preset length, for example, increasing or decreasing 5, which is only illustrated herein, and the total number after the fault tolerance processing is determined as the first gesture track data corresponding to the total gesture track length dimension. For example, the total number of the plurality of layer pixels marked by the first gesture track in the gesture track recording layer is 20, the fault tolerance processing of the total length of the gesture track is specifically increasing or decreasing by 5, the total length range after fault tolerance is 15-25, and then 15-25 is the first gesture track data corresponding to the total length dimension of the gesture track.
FIG. 1C is a schematic diagram of three dimensions of first gesture track data, the first dimension in FIG. 1C being a track center point fuzzy matching dimension; the second dimension is a feature value proportional function checking dimension; the third dimension is the dimension of the total length of the gesture track.
It should be noted that, the calculation manner of the second gesture track data corresponding to the multiple dimensions is similar to the calculation manner of the first gesture track data corresponding to the multiple dimensions, and will not be described herein again.
The mode of performing wind control verification by using gestures is different from the traditional operations such as gesture unlocking, and the gestures in the embodiment are derived from the interface of the software application and have no anchor points ("anchor points" are similar to 9-point sliding tracks in the process of collecting gesture sliding unlocking), so that the gesture track books of the user are obtained by means of the rules of the gesture sliding process of the user, and further wind control verification is achieved.
According to the embodiment, a user trusted data input link is assembled by introducing a user software registration initialization process, simple, efficient and quick wind control gestures are required to be made on a software page before sensitive operation is involved in a software use process, and a release strategy is continued by comparing the wind control gestures with the gestures in the software initialization process.
According to the scheme provided by the invention, the user privacy data does not need to be collected, the wind control verification is carried out through the gesture track without anchor point positioning, the wind control verification mode is simple, efficient and quick, risk prevention and control can be accurately carried out, the problem that the user privacy data can be effectively verified only through the user privacy data when the current Internet product frequently acquires the user privacy data in the wind control prevention and control process is solved, and therefore the user retention rate is effectively improved, and the problem of user loss is avoided.
Fig. 2 illustrates a schematic structural view of an air control device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes: a first acquisition module 201, a first analysis module 202, a second acquisition module 203, a second analysis module 204, a matching module 205, a determination module 206, and a processing module 207.
The first obtaining module 201 is adapted to obtain a first gesture track for wind control verification, which is recorded on the gesture track recording layer by a user;
the first analysis module 202 is adapted to analyze a plurality of layer pixels of the first gesture track scribed in the gesture track recording layer, and determine first gesture track data corresponding to a plurality of dimensions;
the second obtaining module 203 is adapted to obtain a second gesture track to be verified, which is input by the user on the gesture track recording layer, when the triggering operation of the user is monitored;
the second analysis module 204 is adapted to analyze a plurality of layer pixels of the second gesture track scribed in the gesture track recording layer, and determine second gesture track data corresponding to a plurality of dimensions;
the matching module 205 is adapted to match the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions;
a determining module 206 adapted to determine a wind control verification result based on the matching result;
the processing module 207 is adapted to process the user trigger operation according to the wind control verification result.
Optionally, the plurality of dimensions includes: the track center point fuzzy matching dimension, the characteristic value proportion function checking dimension and the gesture track total length dimension.
Optionally, the first analysis module is further adapted to: acquiring pixel point coordinate values of a plurality of image layer pixel points of a first gesture track drawn on a gesture track recording image layer;
and calculating the average value of pixel point coordinate values of the pixel points of the multiple layers, and determining first gesture track data corresponding to the fuzzy matching dimension of the track center point according to the average value.
Optionally, the first analysis module is further adapted to: determining a layer pixel point associated with the average value;
and carrying out track center point fault tolerance processing according to pixel point coordinate values of the image layer pixel points related to the average value, and determining the pixel point coordinate values of the image layer pixel points subjected to the fault tolerance processing as first gesture track data corresponding to the track center point fuzzy matching dimension.
Optionally, the first analysis module is further adapted to: acquiring pixel point coordinate values of a preset number of image layer pixel points of a first gesture track in the directions of the gesture track recording image layer;
calculating the average value of pixel coordinate values of a preset number of image layer pixel points in any direction, and determining the image layer pixel points associated with the average value;
and determining first gesture track data corresponding to the feature value proportion function verification dimension according to pixel point coordinate values of the image layer pixel points related to the average values in the upper, lower, left and right directions.
Optionally, the first analysis module is further adapted to: counting the total number of a plurality of image layer pixel points of the first gesture track drawn on the gesture track recording image layer, and determining first gesture track data corresponding to the dimension of the total length of the gesture track according to the total number.
Optionally, the first analysis module is further adapted to: and carrying out total gesture track length fault tolerance processing according to the total gesture track length, and determining the total gesture track length after the fault tolerance processing as first gesture track data corresponding to the total gesture track length dimension.
According to the scheme provided by the invention, the user privacy data does not need to be collected, the wind control verification is carried out through the gesture track without anchor point positioning, the wind control verification mode is simple, efficient and quick, risk prevention and control can be accurately carried out, the problem that the user privacy data can be effectively verified only through the user privacy data when the current Internet product frequently acquires the user privacy data in the wind control prevention and control process is solved, and therefore the user retention rate is effectively improved, and the problem of user loss is avoided.
The embodiment of the application also provides a nonvolatile computer storage medium, and the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the wind control method in any of the method embodiments.
FIG. 3 illustrates a schematic diagram of a computing device, according to one embodiment of the invention, the particular embodiment of the invention not being limited to a particular implementation of the computing device.
As shown in fig. 3, the computing device may include: a processor (processor) 302, a communication interface (Communications Interface) 304, a memory (memory) 306, and a communication bus 308.
Wherein:
processor 302, communication interface 304, and memory 306 perform communication with each other via communication bus 308.
A communication interface 304 for communicating with network elements of other devices, such as clients or other servers.
The processor 302 is configured to execute the program 310, and may specifically perform relevant steps in the wind control method embodiment described above.
In particular, program 310 may include program code including computer-operating instructions.
The processor 302 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 306 for storing programs 310. Memory 306 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 310 may be specifically configured to cause processor 302 to perform the wind control method of any of the method embodiments described above. The specific implementation of each step in the procedure 310 may refer to the corresponding step and corresponding description in the unit in the above wind control embodiment, which is not repeated herein. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and modules described above may refer to corresponding procedure descriptions in the foregoing method embodiments, which are not repeated herein.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of 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 according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (6)
1. A method of wind control comprising:
acquiring a first gesture track which is input by a user on a gesture track recording layer and used for wind control verification;
analyzing a plurality of image layer pixel points marked by the first gesture track on the gesture track recording image layer, and determining first gesture track data corresponding to a plurality of dimensions; wherein the plurality of dimensions includes: the track center point fuzzy matching dimension, the characteristic value proportion function checking dimension and the gesture track total length dimension;
when the triggering operation of the user is monitored, acquiring a second gesture track to be verified, which is input by the user on the gesture track recording layer, analyzing a plurality of layer pixel points, which are marked by the second gesture track on the gesture track recording layer, and determining second gesture track data corresponding to a plurality of dimensions;
matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions, and determining a wind control verification result according to the matching result;
processing the user triggering operation according to the wind control verification result;
the analyzing the plurality of layer pixels of the first gesture track scribed in the gesture track recording layer, and determining first gesture track data corresponding to a plurality of dimensions further includes:
acquiring pixel point coordinate values of a plurality of image layer pixel points marked by the first gesture track on the gesture track recording image layer;
calculating the average value of pixel point coordinate values of a plurality of layer pixel points, and determining first gesture track data corresponding to the fuzzy matching dimension of the track center point according to the average value;
acquiring pixel point coordinate values of a preset number of image layer pixel points of the first gesture track in the directions of the gesture track recording image layer;
calculating the average value of pixel coordinate values of a preset number of image layer pixel points in any direction, and determining the image layer pixel points associated with the average value;
calculating distances between the four associated image layer pixel points and the center of a terminal screen according to pixel point coordinate values of the image layer pixel points which are associated with the average values in the upper, lower, left and right directions, calculating corresponding ratios according to the calculated distances, and determining first gesture track data corresponding to the feature value proportion function verification dimension according to the ratios;
and counting the total number of the pixel points of the plurality of layers, which are scribed by the first gesture track on the gesture track recording layer, and determining first gesture track data corresponding to the total length dimension of the gesture track according to the total number.
2. The method of claim 1, wherein the determining, from the average, first gesture track data corresponding to a track center point fuzzy matching dimension further comprises:
determining the image layer pixel points associated with the average value;
and carrying out track center point fault tolerance processing according to the pixel point coordinate values of the image layer pixel points related to the average value, and determining the pixel point coordinate values of the image layer pixel points subjected to the fault tolerance processing as first gesture track data corresponding to the track center point fuzzy matching dimension.
3. The method of claim 1 or 2, wherein the determining first gesture track data corresponding to a gesture track total length dimension according to the total number further comprises:
and carrying out fault tolerance processing on the total length of the gesture tracks according to the total number, and determining the total number after the fault tolerance processing as first gesture track data corresponding to the dimension of the total length of the gesture tracks.
4. A wind control device comprising:
the first acquisition module is suitable for acquiring a first gesture track which is input on the gesture track recording layer by a user and used for wind control verification;
the first analysis module is suitable for analyzing a plurality of image layer pixel points of the first gesture track marked on the gesture track recording image layer and determining first gesture track data corresponding to a plurality of dimensions; wherein the plurality of dimensions includes: the track center point fuzzy matching dimension, the characteristic value proportion function checking dimension and the gesture track total length dimension;
the second acquisition module is suitable for acquiring a second gesture track to be verified, which is input by a user on the gesture track recording layer, when the triggering operation of the user is monitored;
the second analysis module is suitable for analyzing a plurality of image layer pixel points of the second gesture track marked on the gesture track recording image layer and determining second gesture track data corresponding to a plurality of dimensions;
the matching module is suitable for matching the second gesture track data corresponding to the multiple dimensions with the first gesture track data corresponding to the multiple dimensions;
the determining module is suitable for determining a wind control verification result according to the matching result;
the processing module is suitable for processing the user triggering operation according to the wind control verification result;
wherein the first analysis module is further adapted to: acquiring pixel point coordinate values of a plurality of image layer pixel points marked by the first gesture track on the gesture track recording image layer;
calculating the average value of pixel point coordinate values of a plurality of layer pixel points, and determining first gesture track data corresponding to the fuzzy matching dimension of the track center point according to the average value;
acquiring pixel point coordinate values of a preset number of image layer pixel points of the first gesture track in the directions of the gesture track recording image layer;
calculating the average value of pixel coordinate values of a preset number of image layer pixel points in any direction, and determining the image layer pixel points associated with the average value;
calculating distances between the four associated image layer pixel points and the center of a terminal screen according to pixel point coordinate values of the image layer pixel points which are associated with the average values in the upper, lower, left and right directions, calculating corresponding ratios according to the calculated distances, and determining first gesture track data corresponding to the feature value proportion function verification dimension according to the ratios;
and counting the total number of the pixel points of the plurality of layers, which are scribed by the first gesture track on the gesture track recording layer, and determining first gesture track data corresponding to the total length dimension of the gesture track according to the total number.
5. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the wind control method according to any one of claims 1 to 3.
6. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the wind control method of any one of claims 1-3.
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| CN109885444A (en) * | 2019-01-16 | 2019-06-14 | 深圳壹账通智能科技有限公司 | Test method, device, storage medium and terminal device based on gesture identification |
| CN109918883A (en) * | 2019-02-22 | 2019-06-21 | 袁精侠 | A kind of auth method of the biocompatibility characteristics based on Freehandhand-drawing track |
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| CN108304757A (en) * | 2017-06-16 | 2018-07-20 | 腾讯科技（深圳）有限公司 | Personal identification method and device |
| CN109885444A (en) * | 2019-01-16 | 2019-06-14 | 深圳壹账通智能科技有限公司 | Test method, device, storage medium and terminal device based on gesture identification |
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