CN105204626A - Method and device for controlling grading of users - Google Patents
Method and device for controlling grading of users Download PDFInfo
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- CN105204626A CN105204626A CN201510549942.XA CN201510549942A CN105204626A CN 105204626 A CN105204626 A CN 105204626A CN 201510549942 A CN201510549942 A CN 201510549942A CN 105204626 A CN105204626 A CN 105204626A
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Abstract
An embodiment of the invention provides a method and a device for controlling grading of users. The method comprises steps as follows: acquiring physiological data of a target user in a certain medium data acquiring process; calculating the average value mu of the physiological data of the target user; looking up the position of the average value mu in a value sequence [mu1, mu2, mu3, ...,mun] generated in advance; determining the age range grade of the target user according to the position in the value sequence [mu1, mu2, mu3, ...,mun]. According to the method and the device, the users are automatically graded according to the physiological data, the age range grades which the users belong to can be accurately and efficiently determined, and the users are effectively protected; meanwhile, the human cost of a media supplier is reduced.
Description
Technical field
The application relates to media data processing technology field, particularly relates to a kind of method to user's step control and a kind of device to user's step control.
Background technology
Along with the development of media industry, user is made to have the media datas such as a large amount of videos, audio frequency, software available.
In order to meet the multiple demand of user, and child protection and teenager, make it, away from inappropriate media datas such as violence, pornographic, metamorphosis, to classify to media data, and the media data that the user limiting all ages and classes can select.Such as, classification is carried out to film in Hong Kong, and limits the film rank that all ages and classes colony can watch, and concrete grade scale is as follows:
Ith grade, be applicable to people's viewing at any age;
IIth A level, unsuitable for children is watched, and suggestion has parental guidance, and content and process gimmick are not suitable for children's viewing, and film may use slight bad term and a small amount of nude, sexual violence and horrible content;
IIth B level, teenager and unsuitable for children viewing, it is strong compared with II A level that spectators should expect that substance film is not suitable for the degree of composition, the strong suggestion head of a family instructs, the subject word that film may have some vulgar terms and property to be correlated with, can implicitly descriptive behavior and occur nude in lust scene, and violence and the horrible content of moderate may be had.
IIIth grade (limiter stage): only people's viewing at accurate 18 years old (containing 18 years old) above age.
Obviously, the film that this movie ratings method limiting child and minor can watch, makes children and minor away from the film being not suitable for its viewing, protects children and minor.
The method that this movie ratings controls is mainly based on the film that age limit user can watch, the proof of identification information needing staff to audit user to provide, according to age of user to user's classification, this will increase worker workload, improves the employment cost of media provider.
In addition; the proof of identification information that staff relies on user to be provided carries out classification to user, easily occurs that user provides false proof of identification information, cannot carry out correct classification to user; be unfavorable for management user being watched to media content, be difficult to effectively protect user.
Summary of the invention
In view of the above problems, propose the embodiment of the present application in case provide a kind of overcome the problems referred to above or solve the problem at least in part a kind of to user's step control method and a kind of device to user's step control accordingly.
In order to solve the problem, the embodiment of the present application discloses a kind of method of user being carried out to step control, and described method comprises:
Obtain targeted customer and obtain the physiological data in a certain media data process;
Calculate the average value mu of the physiological data of described targeted customer;
Search described average value mu at the value sequence generated in advance [μ 1, μ 2, μ 3,, μ n] in position, described value sequence [μ 1, μ 2, μ 3 ... μ n] be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ 1 corresponding to intersection point of the distribution curve of its physiological data respectively, μ 2, μ 3 ..., the sequence that μ n is formed;
According to described value sequence [μ 1, μ 2, μ 3 ..., μ n] in position determine belonging to described targeted customer the range of age rank.
Alternatively, described search described average value mu the value sequence generated in advance [μ 1, μ 2, μ 3 ..., μ n] in position step before, also comprise:
Determine that the physiological data distribution characteristics belonging to physiological data of described targeted customer is interval, wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Described according to described value sequence [μ 1, μ 2, μ 3 ..., μ n] in the step of the range of age rank determined belonging to described targeted customer of position be:
According to described physiological data distribution characteristics interval and described value sequence [μ 1, μ 2, μ 3 ..., μ n] in position, determine the range of age rank belonging to described targeted customer.
Alternatively, the described acquisition step that targeted customer is obtaining the physiological data in a certain media data process is:
By acting on the wearable device of targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process.
Alternatively, described value sequence [μ 1, μ 2, μ 3 ..., μ n] generate in the following way:
By acting on the wearable device of user's body, gather multiple user in advance in the process obtaining a certain media data, the one-dimensional vector of the physiological data corresponding with time shaft, described physiological data comprises blood pressure parameter, Pulse-Parameters, and/or pupil size parameter;
Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
Extract respectively and there is age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
For the gaussian distribution characteristic parameter of described feature user, calculate its mean value and variance respectively;
The mean value of described feature user and variance is adopted to generate corresponding distribution curve;
Add up value μ 1, μ 2, the μ 3 corresponding to intersection point of described distribution curve respectively ..., μ n formation value sequence [μ 1, μ 2, μ 3 ..., μ n].
Alternatively, described value sequence [μ 1, μ 2, μ 3,, μ n] in position there is corresponding the range of age rank respectively, described according to described value sequence [μ 1, μ 2, μ 3 ..., μ n] in the step of the range of age rank determined belonging to described targeted customer of position comprise:
Extract described value sequence [μ 1, μ 2, μ 3 ..., μ n] in the range of age rank corresponding to position;
By extracted the range of age rank, be defined as the range of age rank belonging to described targeted customer.
In order to solve the problem, the embodiment of the present application also discloses a kind of device to user's step control, and described device comprises:
Physiological data acquisition module, is obtaining the physiological data in a certain media data process for obtaining targeted customer;
Computing module, for calculating the average value mu of the physiological data of described targeted customer;
Search module, for searching described average value mu at the value sequence generated in advance [μ 1, μ 2, μ 3 ..., μ n] in position, described value sequence [μ 1, μ 2, μ 3,, μ n] and be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up value μ 1, μ 2, the μ 3 corresponding to intersection point of the distribution curve of its physiological data respectively,, the sequence that μ n is formed;
The range of age rank determination module, for according to described value sequence [μ 1, μ 2, μ 3 ..., μ n] in position determine belonging to described targeted customer the range of age rank.
Alternatively, also comprise:
Physiological data distribution characteristics interval determination module, for determine described targeted customer physiological data belonging to physiological data distribution characteristics interval, wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Described the range of age rank determination module, for and described value sequence interval according to described physiological data distribution characteristics [μ 1, μ 2, μ 3 ..., μ n] in position, determine the range of age rank belonging to described targeted customer.
Alternatively, it is characterized in that, described physiological data acquisition module comprises:
Physiological data collection submodule, for the wearable device by acting on targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process.
Alternatively, described value sequence [μ 1, μ 2, μ 3 ..., μ n] generate in the following way:
By acting on the wearable device of user's body, gather multiple user in advance in the process obtaining a certain media data, the one-dimensional vector of the physiological data corresponding with time shaft, described physiological data comprises blood pressure parameter, Pulse-Parameters, and/or pupil size parameter;
Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
Extract respectively and there is age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
For the gaussian distribution characteristic parameter of described feature user, calculate its mean value and variance respectively;
The mean value of described feature user and variance is adopted to generate corresponding distribution curve;
Add up value μ 1, μ 2, the μ 3 corresponding to intersection point of described distribution curve respectively ..., μ n formation value sequence [μ 1, μ 2, μ 3 ..., μ n].
Alternatively, described value sequence [μ 1, μ 2, μ 3 ..., μ n] in position there is corresponding the range of age rank respectively, described the range of age rank determination module comprises:
The range of age rank extract submodule, for extract described value sequence [μ 1, μ 2, μ 3 ..., μ n] in the range of age rank corresponding to position;
The range of age rank determination submodule, for by extracted the range of age rank, is defined as the range of age rank belonging to described targeted customer.
Compared with prior art, the application has the following advantages:
First, the application can carry out automatic classification by physiological data to user, without the need to staff, classification is carried out to user, manual grading skill is avoided to cause the problem of user class mistake, decrease the workload of staff, improve the efficiency to user's classification, reduce the employment cost of media provider simultaneously.
Moreover physiological data may be used for quantifiable, the objective and real-time feedback that user produces naturally to media data, reflect the ability to bear of user to media data to a certain extent.The application determines the range of age rank belonging to user by physiological data, and compared with the user class determined according to lawful age, the range of age rank of the application is objective and accurate, thus can carry out available protecting to user.
In addition, the application by acting on the physiological data of the wearable device collection user of user's body, can ensure that the physiological data of user is authentic and valid, and then ensure that the accuracy to user's classification.
Accompanying drawing explanation
Fig. 1 is the flow chart of steps of a kind of embodiment of the method 1 to user's step control of the application;
Fig. 2 is the schematic diagram of a kind of physiological data distribution curve of the embodiment of the present application;
Fig. 3 is the schematic diagram of the physiological data distribution curve that a kind of each the range of age of the embodiment of the present application is corresponding;
Fig. 4 is the flow chart of steps of a kind of embodiment of the method 2 to user's step control of the application;
Fig. 5 is the structured flowchart of a kind of device embodiment to user's step control of the application.
Embodiment
For enabling above-mentioned purpose, the feature and advantage of the application more become apparent, below in conjunction with the drawings and specific embodiments, the application is described in further detail.
To user's step control; normally according to lawful age, classification is carried out to user; thus limit the classification that children and minor can watch media data, make it, away from inappropriate media datas such as violence, pornographic, metamorphosis, to protect children and minor.
But, this based on the method for lawful age to user's step control, the classification that some special permission group of viewers can obtain media data can not be limited, such as, cardiac in youth group is also not suitable for the media data watching terrified class, but according to based on the method for age to user's step control, young cardiac can watch the media data of terrified classification.
Obviously, thisly can not protect particular viewer group based on the method for age to user's step control, namely can not realize carrying out available protecting to user.
For the problems referred to above, one of core idea of the embodiment of the present application is, physiological data can reflect the ability to bear of user to media data to a certain extent, the application carries out automatic classification by physiological data to user, thus the range of age rank belonging to user can be determined accurately and efficiently, available protecting is carried out to user; Reduce the employment cost of media provider simultaneously.
With reference to Fig. 1, show the flow chart of steps of a kind of embodiment of the method 1 to user's step control of the application, described method specifically can comprise the following steps:
Step 101, acquisition targeted customer are obtaining the physiological data in a certain media data process;
In the present embodiment, media data can comprise video, audio frequency, FLASH, Games Software etc., is that the media content of carrier can comprise film, TV, music, image, advertisement, interactive game, web page contents etc. the embodiment of the present application and is not restricted this with media data.
In actual applications, user can obtain media data by browser or application program (as media player) usually, such as, watches TV play by media player.
Physiological data may be used for quantifiable, the objective and real-time feedback that user produces naturally to media data, reflects the ability to bear of user to media data to a certain extent.
Thus, in actual applications, user is when obtaining media data, owing to receiving vision, the acoustic stimuli of media data, or to the emotional reactions that the media content taking media data as carrier produces, capital causes the change of this user's physiological data, such as, when hearing fierce audio fragment, blood pressure can rise, when seeing terrified vidclip, pupil can amplify, because nervous game operation and palpitating speed etc. in the scene of game of interaction, now, the physiological data of this user (i.e. targeted customer) can be obtained.
As a kind of example of the embodiment of the present application specific implementation, described physiological data can comprise in the multiple physiological datas such as blood pressure parameter, Pulse-Parameters, pupil size parameter one or more.
Step 102, calculate the average value mu of the physiological data of described targeted customer;
Specifically, the same physiological data of targeted customer likely a fixing scope fluctuation, can collect targeted customer at the multiple numerical value obtaining the same physiological data in media data process.The physiological data collected can be the physiological data (as pulse data) of same, then by calculating all numerical value of this physiological data collected, determines the average value mu of this physiological data of targeted customer.Such as, calculate the mean value of 5 pulse data (65 beats/min, 63 beats/min, 64 beats/min, 66 beats/min and 67 beats/min) collected, computation process is as follows:
(65+63+64+66+67) ÷ 5=65 (beat/min)
Certainly, also can collect targeted customer and obtain the multiple physiological data in media data process, the physiological data of each has multiple numerical value; Then for the physiological data of each, calculate its mean value, the embodiment of the present application is not restricted this.
Step 103, search the value sequence [μ that described average value mu generating in advance
1, μ
2, μ
3..., μ
n] in position;
In the embodiment of the present application, described value sequence [μ
1, μ
2, μ
3..., μ
n] can be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ corresponding to intersection point of the distribution curve of its physiological data respectively
1, μ
2, μ
3..., μ
nthe sequence formed.
In the embodiment of the present application, the physiological data that each the range of age is corresponding can be pre-set, and generate the value sequence [μ of physiological data
1, μ
2, μ
3..., μ
n].Physiological data and the range of age are many-to-one relations.Value sequence [μ
1, μ
2, μ
3..., μ
n] in the corresponding different the range of age rank of diverse location.The range of age rank is according to user's can ability to bear determine media data.
Specifically, the user adhering to all ages and classes scope separately can be gathered in advance, physiological data when obtaining a certain media data, and according to the kind of the range of age belonging to user and physiological data, to the physiological data classification collected, be normalized and draw the distribution curve of physiological data corresponding to each the range of age.Belong to a certain physiological data distribution curve of all users of age-bracket, as shown in Figure 2, transverse axis can represent that the size of physiological data value is (as u
x-1, u, u
xillustrate the size of physiological data), the longitudinal axis can represent the number of times (collecting the number of times that physiological data size is u as n illustrates) of the physiological data gathering user.Add up the value μ corresponding to physiological data intersections of complex curve that each the range of age is corresponding respectively
1, μ
2, μ
3..., μ
n, and generate the value sequence [μ of physiological data
1, μ
2, μ
3..., μ
n].Such as, μ
2it is the right physiological data value of the intersection point of the physiological data distribution curve of underage users and the physiological data distribution curve of child user; μ
3the physiological data value that the intersection point of the physiological data distribution curve of underage users and the physiological data distribution curve of young and middle-aged user is right, the physiological data of underage users is at μ
2and μ
3between position, i.e. μ
2and μ
3between the range of age rank corresponding to position be teenage.
In a preferred embodiment of the present application, described value sequence can generate in the following way:
Sub-step S11, by acting on the wearable device of user's body, gather in advance multiple user obtain a certain media data process in, the one-dimensional vector of the physiological data corresponding with time shaft;
Wherein, described physiological data can comprise blood pressure parameter, Pulse-Parameters, and/or pupil size parameter.In specific implementation, wearable device can be passed through, gather multiple user time dependent physiological data in this media data process of acquisition in advance, (kind of physiological data can mark with dateType), and (can be labeled as according to the one-dimensional vector that time sequencing generates this physiological data
), such as generating with time shaft is X-axis, and physiological data is the one-dimensional vector of Y-axis.
At present, wearable device develops rapidly, in every field all extensive application such as health, amusement, communication, photographies.Wearable device can the physiological data of Real-time Collection user, the physiological data such as blood sugar, blood pressure, heart rate, body temperature, respiratory rate of such as wearable device Real-time Collection wearable device user, and by the physiological data uploading data storehouse that collects, the physiological data storehouse that covers a large number of users colony can be set up.
Wearable device is directly worn on it user at a kind of technology such as sensor, wireless telecommunications, multimedia are embedded into, or be incorporated into the clothes of user or the intelligent terminal of accessory.Wearable device is to possess computing function, can connect the existence of the portable accessory form of each Terminal Type such as mobile phone, computer, and the product comparing main flow has following a few class:
1, with hand be support wrist-watch, wrist strap and ring product, such as intelligent watch, intelligent ring;
2, take head as the glasses series products supported, such as intelligent earphone, intelligent glasses;
3, take foot as the footwear supported, such as intelligent shoe;
4, such as, directly to take in the tablet series products of inside of human body, smart pill.
Sub-step S12, calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
The mean value that gaussian distribution characteristic parameter can comprise the one-dimensional vector of physiological data (can be labeled as
) and the variance of one-dimensional vector of physiological data (can be labeled as
).
After generating multiple one-dimensional vector, all one-dimensional vector are normalized, the one-dimensional vector of rejecting abnormalities; By calculating, obtaining the Gaussian Distribution Parameters of the one-dimensional vector (not comprising abnormal one-dimensional vector) of all users, can be labeled as
wherein,
be mean value, reacted the ability to bear of user to media data;
be variance, reacted the unified degree of user to the ability to bear of media data.
Sub-step S13, respectively extraction have age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
Can using the one-dimensional vector with same physiological data and all users belonging to age-grade scope as feature user.Such as all viewing educational films, and there is the one-dimensional vector of pulse data and belong to minor all users as feature user.Different feature user is corresponding different the range of age.
Sub-step S14, gaussian distribution characteristic parameter for described feature user, calculate its mean value and variance respectively;
Specifically, each feature user comprises multiple user, and each user has mean value and the variance of the one-dimensional vector of corresponding physiological data.By calculating the mean value of the one-dimensional vector of the physiological data of all users, can determine that the mean value of the one-dimensional vector of the physiological data of feature user (can be labeled as
); And by calculating the variance of the one-dimensional vector of the physiological data of all users, can determine that the variance of the one-dimensional vector of the physiological data of feature user (can be labeled as
).Can calculate each the range of age characteristic of correspondence user's respectively
and
Sub-step S15, the mean value of described feature user and variance is adopted to generate corresponding distribution curve;
In the embodiment of the present application, the physiological data of feature user can be obeyed mathematical expectation and is
and standard variance
gaussian distribution.Adopt the mean value of feature user and variance just can draw Gaussian distribution curve corresponding to the physiological data of this feature user.
Sub-step S16, add up the value μ corresponding to intersection point of described distribution curve respectively
1, μ
2, μ
3..., μ
nform value sequence [μ
1, μ
2, μ
3..., μ
n].
The Gaussian distribution curve of the physiological data corresponding with each the range of age has intersection point.Add up the intersection point of Gaussian distribution curve corresponding to each the range of age, extract the value of physiological data corresponding to all intersection points (as μ
1, μ
2, μ
3..., μ
n), adopt the value extracted (as μ
1, μ
2, μ
3..., μ
n), generate value sequence (as [μ
1, μ
2, μ
3..., μ
n])
In order to make those skilled in the art understand the embodiment of the present application better, concrete example is below adopted to be described for the application.
The range of age of user can be divided into children, teenage, young and middle-aged and old.Accordingly, the age of user context level of setting can comprise children, teenage, young and middle-aged and old.
To generate pulse data value sequence in advance, concrete generation step is as follows:
1, by Intelligent bracelet, gather multiple user time dependent pulse data in a certain media data process of acquisition in advance, and generate the one-dimensional vector of pulse data according to time sequencing;
2, the one-dimensional vector of the pulse data of all users is normalized, then calculates mean value and the variance of the one-dimensional vector after normalized;
3, feature user is extracted, specifically, the all users belonging to age-grade scope are extracted the feature user as the range of age corresponding level, such as, be that all users of children extract as the range of age rank are the feature user of children using the range of age.
4, mean value and the variance of the one-dimensional vector of the feature user of each the range of age rank is adopted, calculate mean value and the variance of the physiological data of the feature user of each the range of age rank respectively, such as, by calculating, to obtain the range of age rank be the physiological data mean value of the feature user of children is 61 beats/min, and variance is 1.
5, the mean value of the feature user of each the range of age rank and variance is adopted to generate corresponding distribution curve.Specifically, the mean value of the feature user of children and variance is adopted to generate the pulse data distribution curve of the user of children, the mean value of minor feature user and variance is adopted to generate the pulse data distribution curve of minor user, adopt the mean value of young and middle-aged feature user and variance to generate the pulse data distribution curve of young and middle-aged user, adopt the mean value of old feature user and variance to generate the pulse data distribution curve of old user.The pulse data distribution curve that each the range of age is corresponding (is from left to right respectively children as shown in Figure 3, teenage, young and middle-aged, old corresponding pulse data distribution curve), pulse data distribution curve corresponding to children is μ with the value corresponding to minor corresponding pulse data distribution curve intersection point
2, the pulse data distribution curve of teenage correspondence is μ with the value corresponding to young and middle-aged corresponding pulse data distribution curve intersection point
3, young and middle-aged corresponding pulse data distribution curve is μ with the value corresponding to old corresponding pulse data distribution curve intersection point
4;
6, the mean value of the feature user of children and variance is adopted to determine the minimum pulse data μ of the feature user of children
1(as μ
1the mean value of feature user and the difference of variance for children), adopt the mean value of old feature user and variance to determine the minimum pulse data μ of old feature user
5(as μ
5for the mean value of the feature user in old age and variance and), utilize μ
1, μ
2, μ
3, μ
4, μ
5generate the value sequence [μ that user obtains the pulse data of this film
1, μ
2, μ
3, μ
4, μ
5].
Step 104, according to described value sequence [μ
1, μ
2, μ
3..., μ
n] in position determine belonging to described targeted customer the range of age rank.
At value sequence [μ
1, μ
2, μ
3..., μ
n] in, find the mean value of the physiological data of this targeted customer.After finding, just can determine that this mean value is at value sequence [μ
1, μ
2, μ
3..., μ
n] in position, by this mean value at value sequence [μ
1, μ
2, μ
3..., μ
n] in the range of age rank corresponding to position be defined as the range of age rank of user.
In a preferred embodiment of the present application, described value sequence [μ
1, μ
2, μ
3..., μ
n] in position there is corresponding the range of age rank respectively, above-mentioned steps 104 can comprise following sub-step:
Sub-step 104-1, extract described value sequence [μ
1, μ
2, μ
3..., μ
n] in the range of age rank corresponding to position
Sub-step 104-2, by extracted the range of age rank, be defined as the range of age rank belonging to described targeted customer.
In the embodiment of the present application, value sequence [μ 1, μ 2, μ 3 ..., μ n] in position there is corresponding the range of age rank respectively.Find the position of physiological data mean value in value sequence of targeted customer, the range of age rank that this position is corresponding will be extracted from database, and extracted the range of age rank is defined as the range of age rank of targeted customer.Such as, the range of age rank corresponding to the position between value sequence μ 1 and μ 2 is children, search the mean value u of the physiological data of targeted customer at value sequence [μ 1, μ 2, μ 3 ..., μ n] in position, then this mean value u is found in the position between μ 1 and μ 2, will extract the range of age rank (children) that position between μ 1 and μ 2 is corresponding.The range of age rank children of extraction are defined as the rank of targeted customer, namely complete the classification to user, the range of age rank of user is children.
As a kind of preferred exemplary of the embodiment of the present application, the range of age rank can comprise children, teenage, young and middle-aged, old.According to the user's physiological data adhering to all ages and classes scope separately, generating value sequence is in advance [μ
1, μ
2, μ
3, μ
4, μ
5].Physiological data distribution curve corresponding to each the range of age as shown in Figure 3 (be from left to right respectively children, teenage, young and middle-aged, old corresponding physiological data distribution curve).Value sequence is [μ
1, μ
2, μ
3, μ
4, μ
5] the corresponding different the range of age rank of diverse location, concrete condition is as follows:
1, μ
1and μ
2between position, corresponding the range of age rank is children;
2, μ
2and μ
3between position, corresponding the range of age rank is teenage;
3, μ
3and μ
4between position, corresponding the range of age rank be the young and the middle aged;
4, μ
4and μ
5between position, corresponding the range of age rank be old age.
Searching this mean value u at the value sequence generated in advance is [μ
1, μ
2, μ
3, μ
4, μ
5] in position, such as, mean value u is at μ
2and μ
3between position (can be understood as u and be greater than μ
2,and be less than μ
3), then determine that the range of age rank of this targeted customer is teenage.
It should be noted that, this range of age rank can divide not in accordance with the age of legal provisions, and divides according to the ability to bear of user.Such as, 18 precession of the equinoxes one day and it's 18 years old pasting one day for the user cannot distinguish by physiological data, but the ability to bear of user can be distinguished according to physiological data.
In the embodiment of the present application, the physiological data in media data process can obtained by constantly collecting user, and classification is being carried out to user, get final product the range of age rank of regular update user, realize carrying out available protecting to user.In addition, physiological data and the range of age rank of user can also be preserved simultaneously, constantly expand sample, thus can be according to physiological data to user's classification, better degree of accuracy is provided.
In the embodiment of the present application, automatic classification can be carried out to user by physiological data, without the need to staff, classification is carried out to user, manual grading skill is avoided to cause the problem of user class mistake, decrease the workload of staff, improve the efficiency to user's classification, reduce the employment cost of media provider.Physiological data may be used for quantifiable, the objective and real-time feedback that user produces naturally to media data; reflect the ability to bear of user to media data to a certain extent; the application determines the range of age rank belonging to user by physiological data; compared with the user class determined according to lawful age; the range of age rank of the application is objective and accurate, achieves the available protecting to user.
In addition, the embodiment of the present application by the mean value of several physiological data, can be determined the range of age rank belonging to targeted customer, then based on determined the range of age rank, carries out classification to user respectively.Specifically, if physiological data determination the range of age rank of all kinds is age-grade context level, just can determine the range of age rank belonging to this user, such as determine that the range of age rank belonging to user is all children respectively by pulse data, blood pressure data and pupil size data, so the range of age rank of this user is exactly children; If physiological data determination the range of age rank of all kinds is not age-grade context level, then search the determined the range of age rank of physiological data of most kind, and determined for the physiological data of most kind the range of age rank is defined as the range of age rank of this user, such as, determine that the range of age rank belonging to user is all children respectively by pulse data, blood pressure data, and determine that the range of age rank belonging to this user is teenage by pupil size data, the range of age rank of this user is at this moment defined as with regard to children.The application can carry out classification by several physiological data to user, thus reduces the error to user's classification, strengthens the protective effect to user.
With reference to Fig. 4, show the flow chart of steps of a kind of embodiment of the method 2 to user's step control of the application, described method specifically can comprise the following steps:
Step 201, by acting on the wearable device of targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process;
In the embodiment of the present application, when user is when obtaining media data by the terminal such as mobile phone, computer, targeted customer can be gathered by the wearable device of association and obtain the physiological data in media data process, just can collect targeted customer at the multiple numerical value obtaining the physiological data in this media data process.Such as, collecting the pulse data of targeted customer in the process of viewing film by Intelligent bracelet, is 65 beats/min, 63 beats/min, 64 beats/min, 66 beats/min, 67 beats/min respectively.
Step 202, calculate the average value mu of the physiological data of described targeted customer;
Step 203, determine that the physiological data distribution characteristics belonging to physiological data of described targeted customer is interval;
Wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, and the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Physiological data distribution characteristics interval can be understood as: belong to all users of age-grade scope when same acquisition media data attribute videoType (as viewing horrow movie), the gaussian distribution characteristic that its same physiological data is formed is interval.Such as, the range of age is the pulse data distribution characteristics interval of user when watching certain film of children can be [58,64]; The range of age is the pulse data distribution characteristics interval of minor user when watching certain film can be [64,70]; The range of age is the young and middle-aged pulse data distribution characteristics interval of user when watching certain film can be [70,76]; The range of age is the old pulse data distribution characteristics interval of user when watching certain film can be [76,81].
After calculating the mean value of the physiological data of targeted customer, the physiological data distribution characteristics belonging to multiple numerical value of searching this physiological data is interval, if it is interval that most of numerical value of this physiological data all belongs to same physiological data distribution characteristics, the physiological data distribution characteristics that just this physiological data distribution characteristics interval can be defined as belonging to this physiological data is interval.Such as, the pulse data of targeted customer is 65 beats/min, 63 beats/min, 64 beats/min, 66 beats/min and 67 beats/min respectively, 4 numerical value (64 beats/min, 65 beats/min, 66 beats/min and 67 beats/min) are had all to belong to interval [64,70], 2 numerical value (63 beats/min and 64 beats/min) are only had to belong to interval [58,64], namely the pulse data distribution characteristics interval belonging to pulse data of this targeted customer is [64,70].
Step 204, search the value sequence [μ that described average value mu generating in advance
1, μ
2, μ
3..., μ
n] in position;
Wherein, described value sequence [μ
1, μ
2, μ
3..., μ
n] be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ corresponding to intersection point of the distribution curve of its physiological data respectively
1, μ
2, μ
3..., μ
nthe sequence formed.
Step 205, according to described physiological data distribution characteristics interval and described value sequence [μ
1, μ
2, μ
3..., μ
n] in position, determine the range of age rank belonging to described targeted customer.
In the present embodiment, the range of age rank that the interval corresponding the range of age of physiological data distribution characteristics belonging to the physiological data of targeted customer is corresponding with the position of mean value in value sequence of the physiological data of this targeted customer is identical, just can determine this range of age rank belonging to cloth mark user.
Such as, generating the value sequence of pulse data when user watches certain film is in advance [58,64,70,76,81].The range of age rank corresponding to the position between 58 to 64 is children, the range of age rank corresponding to the position between 64 to 70 is teenage, the range of age rank corresponding to the position between 70 to 76 is young and middle-aged, and the range of age rank corresponding to the position between 76 to 81 be old age.The position of mean value 65 beats/min between 64 to 70 of value sequence [58,64,70,76,81] of the pulse data of targeted customer.Pulse data distribution characteristics interval [64 belonging to the pulse data of this targeted customer, 70] corresponding the range of age is teenage, and at value sequence [58,64,70, the range of age rank corresponding to the position between 76,81] 64 to 70 is teenage, just can the range of age rank of this targeted customer is defined as teenage.
Certainly, the range of age rank that the interval corresponding the range of age of physiological data distribution characteristics belonging to the physiological data of targeted customer is corresponding with the position of mean value in value sequence of the physiological data of this targeted customer is not identical, again can collect the physiological data of targeted customer, classification is carried out to it.
The application by acting on the physiological data of the wearable device collection user of user's body, can ensure that the physiological data of user is authentic and valid, and then ensure that the accuracy to user's classification
It should be noted that, for embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the embodiment of the present application is not by the restriction of described sequence of movement, because according to the embodiment of the present application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action might not be that the embodiment of the present application is necessary.
With reference to Fig. 5, show the structured flowchart of a kind of user's step control device embodiment of the application, specifically can comprise as lower module:
Physiological data acquisition module 501, is obtaining the physiological data in a certain media data process for obtaining targeted customer;
Computing module 502, for calculating the average value mu of the physiological data of described targeted customer;
Search module 503, for searching the value sequence [μ that described average value mu is generating in advance
1, μ
2, μ
3..., μ
n] in position, described value sequence [μ
1, μ
2, μ
3..., μ
n] be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ corresponding to intersection point of the distribution curve of its physiological data respectively
1, μ
2, μ
3..., μ
nthe sequence formed;
The range of age rank determination module 504, for according to described value sequence [μ
1, μ
2, μ
3..., μ
n] in position determine belonging to described targeted customer the range of age rank.
In a preferred embodiment of the present application, described device also comprises:
Physiological data distribution characteristics interval determination module 505, for determine described targeted customer physiological data belonging to physiological data distribution characteristics interval, wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Accordingly, the range of age rank determination module 504, for the interval and described value sequence [μ according to described physiological data distribution characteristics
1, μ
2, μ
3..., μ
n] in position, determine the range of age rank belonging to described targeted customer.
In a preferred embodiment of the present application, described physiological data acquisition module 501 comprises:
Physiological data collection submodule 501-1, for the wearable device by acting on targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process.
As a preferred embodiment of the present application, described value sequence [μ
1, μ
2, μ
3..., μ
n] generate in the following way:
By acting on the wearable device of user's body, gather multiple user in advance in the process obtaining a certain media data, the one-dimensional vector of the physiological data corresponding with time shaft, described physiological data comprises blood pressure parameter, Pulse-Parameters, and/or pupil size parameter;
Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
Extract respectively and there is age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
For the gaussian distribution characteristic parameter of described feature user, calculate its mean value and variance respectively;
The mean value of described feature user and variance is adopted to generate corresponding distribution curve;
Add up the value μ corresponding to intersection point of described distribution curve respectively
1, μ
2, μ
3..., μ
nform value sequence [μ
1, μ
2, μ
3..., μ
n].
In a preferred embodiment of the present application, described value sequence [μ
1, μ
2, μ
3..., μ
n] in position there is corresponding the range of age rank respectively, described the range of age rank determination module 504 comprises:
The range of age rank extracts submodule 504-1, for extracting described value sequence [μ
1, μ
2, μ
3..., μ
n] in the range of age rank corresponding to position;
The range of age rank determination submodule 504-2, for by extracted the range of age rank, is defined as the range of age rank belonging to described targeted customer.
For device embodiment, due to itself and embodiment of the method basic simlarity, so description is fairly simple, relevant part illustrates see the part of embodiment of the method.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar part mutually see.
Those skilled in the art should understand, the embodiment of the embodiment of the present application can be provided as method, device or computer program.Therefore, the embodiment of the present application can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the embodiment of the present application can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code.
The embodiment of the present application describes with reference to according to the process flow diagram of the method for the embodiment of the present application, terminal device (system) and computer program and/or block scheme.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or square frame.These computer program instructions can being provided to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminal equipment to produce a machine, making the instruction performed by the processor of computing machine or other programmable data processing terminal equipment produce device for realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing terminal equipment, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing terminal equipment, make to perform sequence of operations step to produce computer implemented process on computing machine or other programmable terminal equipment, thus the instruction performed on computing machine or other programmable terminal equipment is provided for the step realizing the function of specifying in process flow diagram flow process or multiple flow process and/or block scheme square frame or multiple square frame.
Although described the preferred embodiment of the embodiment of the present application, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the embodiment of the present application scope.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or terminal device and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or terminal device.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the terminal device comprising described key element and also there is other identical element.
What provide the application above a kind ofly carries out the method for step control and a kind of device user being carried out to step control to user, be described in detail, apply specific case herein to set forth the principle of the application and embodiment, the explanation of above embodiment is just for helping method and the core concept thereof of understanding the application; Meanwhile, for one of ordinary skill in the art, according to the thought of the application, all will change in specific embodiments and applications, in sum, this description should not be construed as the restriction to the application.
Claims (10)
1. user is carried out to a method for step control, it is characterized in that, described method comprises:
Obtain targeted customer and obtain the physiological data in a certain media data process;
Calculate the average value mu of the physiological data of described targeted customer;
Search the value sequence [μ that described average value mu is generating in advance
1, μ
2, μ
3..., μ
n] in position, described value sequence [μ
1, μ
2, μ
3..., μ
n] be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ corresponding to intersection point of the distribution curve of its physiological data respectively
1, μ
2, μ
3..., μ
nthe sequence formed;
According to described value sequence [μ
1, μ
2, μ
3..., μ
n] in position determine belonging to described targeted customer the range of age rank.
2. method according to claim 1, is characterized in that, at the described value sequence [μ searching described average value mu and generating in advance
1, μ
2, μ
3..., μ
n] in position step before, also comprise:
Determine that the physiological data distribution characteristics belonging to physiological data of described targeted customer is interval, wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Described according to described value sequence [μ
1, μ
2, μ
3..., μ
n] in the step of the range of age rank determined belonging to described targeted customer of position be:
Interval and the described value sequence [μ according to described physiological data distribution characteristics
1, μ
2, μ
3..., μ
n] in position, determine the range of age rank belonging to described targeted customer.
3. method according to claim 1 and 2, is characterized in that, the described acquisition step that targeted customer is obtaining the physiological data in a certain media data process is:
By acting on the wearable device of targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process.
4. method according to claim 1, is characterized in that, described value sequence [μ
1, μ
2, μ
3..., μ
n] generate in the following way:
By acting on the wearable device of user's body, gather multiple user in advance in the process obtaining a certain media data, the one-dimensional vector of the physiological data corresponding with time shaft, described physiological data comprises blood pressure parameter, Pulse-Parameters, and/or pupil size parameter;
Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
Extract respectively and there is age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
For the gaussian distribution characteristic parameter of described feature user, calculate its mean value and variance respectively;
The mean value of described feature user and variance is adopted to generate corresponding distribution curve;
Add up the value μ corresponding to intersection point of described distribution curve respectively
1, μ
2, μ
3..., μ
nform value sequence [μ
1, μ
2, μ
3..., μ
n].
5. the method according to claim 1 or 4, is characterized in that, described value sequence [μ
1, μ
2, μ
3..., μ
n] in position there is corresponding the range of age rank respectively, described according to described value sequence [μ
1, μ
2, μ
3..., μ
n] in the step of the range of age rank determined belonging to described targeted customer of position comprise:
Extract described value sequence [μ
1, μ
2, μ
3..., μ
n] in the range of age rank corresponding to position;
By extracted the range of age rank, be defined as the range of age rank belonging to described targeted customer.
6. to a device for user's step control, it is characterized in that, described device comprises:
Physiological data acquisition module, is obtaining the physiological data in a certain media data process for obtaining targeted customer;
Computing module, for calculating the average value mu of the physiological data of described targeted customer;
Search module, for searching the value sequence [μ that described average value mu is generating in advance
1, μ
2, μ
3..., μ
n] in position, described value sequence [μ
1, μ
2, μ
3..., μ
n] be for the user adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, add up the value μ corresponding to intersection point of the distribution curve of its physiological data respectively
1, μ
2, μ
3..., μ
nthe sequence formed;
The range of age rank determination module, for according to described value sequence [μ
1, μ
2, μ
3..., μ
n] in position determine belonging to described targeted customer the range of age rank.
7. device according to claim 6, is characterized in that, also comprises:
Physiological data distribution characteristics interval determination module, for determine described targeted customer physiological data belonging to physiological data distribution characteristics interval, wherein, described physiological data distribution characteristics interval is for having age-grade range attribute ageType, same acquisition media data attribute videoType, the gaussian distribution characteristic of all users of same physiological data attribute dataType is interval;
Described the range of age rank determination module, for the interval and described value sequence [μ according to described physiological data distribution characteristics
1, μ
2, μ
3..., μ
n] in position, determine the range of age rank belonging to described targeted customer.
8. the device according to claim 6 or 7, is characterized in that, described physiological data acquisition module comprises:
Physiological data collection submodule, for the wearable device by acting on targeted customer's health, gathering described targeted customer and obtaining the physiological data in a certain media data process.
9. device according to claim 6, is characterized in that, described value sequence [μ
1, μ
2, μ
3..., μ
n] generate in the following way:
By acting on the wearable device of user's body, gather multiple user in advance in the process obtaining a certain media data, the one-dimensional vector of the physiological data corresponding with time shaft, described physiological data comprises blood pressure parameter, Pulse-Parameters, and/or pupil size parameter;
Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of described physiological data;
Extract respectively and there is age-grade scope, and, the feature user of the one-dimensional vector of same physiological data;
For the gaussian distribution characteristic parameter of described feature user, calculate its mean value and variance respectively;
The mean value of described feature user and variance is adopted to generate corresponding distribution curve;
Add up the value μ corresponding to intersection point of described distribution curve respectively
1, μ
2, μ
3..., μ
nform value sequence [μ
1, μ
2, μ
3..., μ
n].
10. the method according to claim 6 or 9, is characterized in that, described value sequence [μ
1, μ
2, μ
3..., μ
n] in position there is corresponding the range of age rank respectively, described the range of age rank determination module comprises:
The range of age rank extracts submodule, for extracting described value sequence [μ
1, μ
2, μ
3..., μ
n] in the range of age rank corresponding to position;
The range of age rank determination submodule, for by extracted the range of age rank, is defined as the range of age rank belonging to described targeted customer.
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| CN108958857A (en) * | 2018-04-03 | 2018-12-07 | 北京奇艺世纪科技有限公司 | A kind of interface creating method and device |
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