CN105204626B - A kind of method and apparatus to user's grading control - Google Patents

A kind of method and apparatus to user's grading control Download PDF

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Publication number
CN105204626B
CN105204626B CN201510549942.XA CN201510549942A CN105204626B CN 105204626 B CN105204626 B CN 105204626B CN 201510549942 A CN201510549942 A CN 201510549942A CN 105204626 B CN105204626 B CN 105204626B
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physiological data
user
range
age
targeted customer
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CN201510549942.XA
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Chinese (zh)
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CN105204626A (en
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张�林
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北京奇艺世纪科技有限公司
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Abstract

The embodiment of the present application provides a kind of method and apparatus to user's grading control.The described method includes:Obtain physiological data of the targeted customer during a certain media data is obtained;Calculate the average value mu of the physiological data of targeted customer;Search position of the average value mu in the value sequence [μ 1, μ 2, μ 3 ..., μ n] previously generated;According to the range of age rank belonging to the location determination targeted customer in value sequence [μ 1, μ 2, μ 3 ..., μ n].The application carries out automatic classification by physiological data to user, and so as to accurately and efficiently determine the range of age rank belonging to user, user is effectively protected;The employment cost of media provider is reduced at the same time.

Description

A kind of method and apparatus to user's grading control

Technical field

This application involves media data processing technology field, more particularly to a kind of method to user's grading control and one Device of the kind to user's grading control.

Background technology

With the development of media industry so that user has the media datas such as substantial amounts of video, audio, software available.

In order to meet the multiple demand of user, and protection children and teenager, away from violence, pornographic, metamorphosis Etc. inappropriate media data, classify to media data, and the media number that the user for limiting all ages and classes can select According to.For example, Hong Kong is classified film, and limits the film rank that all ages and classes colony can watch, specific classification mark It is accurate as follows:

Ith grade, it is adapted to people's viewing at any age;

IIth A grades, unsuitable for children viewing, it is proposed that there is parental guidance, be not suitable for children's viewing in content and handing technique, Film may use slight bad term and a small amount of nude, sexual violence and horrible content;

IIth B grades, teenager and unsuitable for children viewing, spectators are contemplated that substance film is not suitable for the degree of component compared with II A Level is strong, and strong suggestion parent, which gives, to be instructed, and film may have some vulgar terms and the relevant subject word of property, can implicitly retouch State sexual behaviour and occur nude in lust scene, and may have violence and the horrible content of moderate.

IIIth grade (limiter stage):People's viewing at only 18 years old accurate (containing 18 years old) above age.

Obviously, the film that this movie ratings method limiting child and minor can watch so that children and Minor protects children and minor away from the film for being not suitable for its viewing.

The method of this movie ratings control is mainly based upon film that age limit user can watch, it is necessary to the people that works The proof of identification information that member examination & verification user provides, is classified user according to the age of user, this will increase staff's work Amount, improves the employment cost of media provider.

User is classified in addition, staff relies on the proof of identification information that user provides, user easily occurs and carries For false proof of identification information, user can not be correctly classified, is unfavorable for watching user the management of media content, it is difficult to User is effectively protected.

The content of the invention

In view of the above problems, it is proposed that the embodiment of the present application overcomes the above problem or at least in part in order to provide one kind A kind of method to user's grading control to solve the above problems and a kind of corresponding device to user's grading control.

To solve the above-mentioned problems, the embodiment of the present application discloses a kind of method that grading control is carried out to user, described Method includes:

Obtain physiological data of the targeted customer during a certain media data is obtained;

Calculate the average value mu of the physiological data of the targeted customer;

Search position of the average value mu in the value sequence [μ 1, μ 2, μ 3 ..., μ n] previously generated, the value sequence [μ 1, μ 2, μ 3 ..., μ n] be for the user for adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, The value μ 1 corresponding to the intersection point of the distribution curve of its physiological data, the sequence that μ 2, μ 3 ..., μ n are formed are counted respectively;

According to the range of age belonging to targeted customer described in the location determination in the value sequence [μ 1, μ 2, μ 3 ..., μ n] Rank.

Alternatively, in the position for searching the average value mu in the value sequence [μ 1, μ 2, μ 3 ..., μ n] previously generated Before the step of putting, further include:

Determine the physiological data distribution characteristics section belonging to the physiological data of the targeted customer, wherein, the physiology number It is for age-grade range attribute ageType, same acquisition media data attribute according to distribution characteristics section VideoType, the gaussian distribution characteristic section of all users of same physiological data attribute dataType;

Age described in location determination in [μ 1, μ 2, μ 3 ..., the μ n] according to the value sequence belonging to targeted customer The step of context level is:

According to the position in the physiological data distribution characteristics section and the value sequence [μ 1, μ 2, μ 3 ..., μ n], determine The range of age rank belonging to the targeted customer.

Alternatively, the acquisition targeted customer is in the step of physiological data during obtaining a certain media data:

By acting on the wearable device of targeted customer's body, gather the targeted customer and obtaining a certain media data During physiological data.

Alternatively, the value sequence [μ 1, μ 2, μ 3 ..., μ n] generates in the following way:

By acting on the wearable device of user's body, multiple users are gathered in advance and are obtaining the mistake of a certain media data Cheng Zhong, the one-dimensional vector of physiological data corresponding with time shaft, the physiological data include blood pressure parameter, Pulse-Parameters, and/or Pupil size parameter;

Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of the physiological data;

Extraction has age-grade scope respectively, and, the feature user of the one-dimensional vector of same physiological data;

For the gaussian distribution characteristic parameter of the feature user, its average value and variance are calculated respectively;

Corresponding distribution curve is generated using the average value and variance of the feature user;

The value μ 1 corresponding to the intersection point of the distribution curve is counted respectively, and μ 2, μ 3 ..., μ n form value sequence [μ 1, μ 2, μ 3 ..., μ n].

Alternatively, the position in the value sequence [μ 1, μ 2, μ 3 ..., μ n] has corresponding the range of age rank respectively, The range of age rank described in location determination in [μ 1, μ 2, μ 3 ..., the μ n] according to the value sequence belonging to targeted customer The step of include:

Extract the range of age rank corresponding to the position in the value sequence [μ 1, μ 2, μ 3 ..., μ n];

The range of age rank that will be extracted, is determined as the range of age rank belonging to the targeted customer.

To solve the above-mentioned problems, the embodiment of the present application also discloses a kind of device to user's grading control, the dress Put including:

Physiological data acquisition module, for obtaining physiological data of the targeted customer during a certain media data is obtained;

Computing module, the average value mu of the physiological data for calculating the targeted customer;

Searching module, for searching position of the average value mu in the value sequence [μ 1, μ 2, μ 3 ..., μ n] previously generated Put, the value sequence [μ 1, μ 2, μ 3 ..., μ n] is for the user for adhering to all ages and classes scope separately gathered in advance, is being obtained together During one media data, the value μ 1 corresponding to the intersection point for the distribution curve for counting its physiological data respectively, μ 2, μ 3 ..., what μ n were formed Sequence;

The range of age rank determination module, for according to the location determination institute in the value sequence [μ 1, μ 2, μ 3 ..., μ n] State the range of age rank belonging to targeted customer.

Alternatively, further include:

Physiological data distribution characteristics interval determination module, for determining the physiology belonging to the physiological data of the targeted customer Data distribution characteristics section, wherein, the physiological data distribution characteristics section is for age-grade range attribute AgeType, same acquisition media data attribute videoType, the height of all users of same physiological data attribute dataType This distribution characteristics section;

The range of age rank determination module, for according to the physiological data distribution characteristics section and the value sequence Position in [μ 1, μ 2, μ 3 ..., μ n], determines the range of age rank belonging to the targeted customer.

Alternatively, it is characterised in that the physiological data acquisition module includes:

Physiological data collection submodule, for the wearable device by acting on targeted customer's body, gathers the mesh Mark physiological data of the user during a certain media data is obtained.

Alternatively, the value sequence [μ 1, μ 2, μ 3 ..., μ n] generates in the following way:

By acting on the wearable device of user's body, multiple users are gathered in advance and are obtaining the mistake of a certain media data Cheng Zhong, the one-dimensional vector of physiological data corresponding with time shaft, the physiological data include blood pressure parameter, Pulse-Parameters, and/or Pupil size parameter;

Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of the physiological data;

Extraction has age-grade scope respectively, and, the feature user of the one-dimensional vector of same physiological data;

For the gaussian distribution characteristic parameter of the feature user, its average value and variance are calculated respectively;

Corresponding distribution curve is generated using the average value and variance of the feature user;

The value μ 1 corresponding to the intersection point of the distribution curve is counted respectively, and μ 2, μ 3 ..., μ n form value sequence [μ 1, μ 2, μ 3 ..., μ n].

Alternatively, the position in the value sequence [μ 1, μ 2, μ 3 ..., μ n] has corresponding the range of age rank respectively, The range of age rank determination module includes:

The range of age rank extracting sub-module is right for extracting the institute of the position in the value sequence [μ 1, μ 2, μ 3 ..., μ n] The range of age rank answered;

The range of age rank determination sub-module, for the range of age rank that will be extracted, is determined as the targeted customer Affiliated the range of age rank.

Compared with prior art, the application has the following advantages:

First, the application can carry out automatic classification by physiological data to user, and user is carried out without staff Classification, avoids the problem that manual grading skill causes user class mistake, reduces the workload of staff, improves to user point The efficiency of level, while reduce the employment cost of media provider.

Furthermore physiological data can be used for user media data is produced naturally it is quantifiable, objective and real When feedback, reflect ability to bear of the user to media data to a certain extent.The application determines to use by physiological data The range of age rank belonging to family, compared with the user class determined according to lawful age, the range of age rank visitor of the application It is accurate to see, so as to effectively be protected to user.

In addition, the application can gather the physiological data of user by acting on the wearable device of user's body, ensure The physiological data of user is authentic and valid, and then ensure that the accuracy to user's classification.

Brief description of the drawings

Fig. 1 is a kind of step flow chart of embodiment of the method 1 to user's grading control of the application;

Fig. 2 is a kind of schematic diagram of physiological data distribution curve of the embodiment of the present application;

Fig. 3 is a kind of schematic diagram of the corresponding physiological data distribution curve of each the range of age of the embodiment of the present application;

Fig. 4 is a kind of step flow chart of embodiment of the method 2 to user's grading control of the application;

Fig. 5 is a kind of structure diagram of device embodiment to user's grading control of the application.

Embodiment

It is below in conjunction with the accompanying drawings and specific real to enable the above-mentioned purpose of the application, feature and advantage more obvious understandable Mode is applied to be described in further detail the application.

To user's grading control, typically user is classified according to lawful age, so as to limit children and not Adult can watch the classification of media data, away from inappropriate media data such as violence, pornographic, metamorphosis, protect Children and minor.

But this method based on lawful age to user's grading control, can not limit some special permission group of viewers can To obtain the classification of media data, for example, the cardiac in youth group is not appropriate for watching the media data of terrified class, But according to the method based on the age to user's grading control, young cardiac can watch the media data of terrified classification.

Obviously, this method based on the age to user's grading control, can not protect particular viewer group, that is, can not achieve User is effectively protected.

In view of the above-mentioned problems, one of core idea of the embodiment of the present application is that physiological data can be to a certain extent Ability to bear of the user to media data is reflected, the application carries out automatic classification by physiological data to user, so as to Accurately and efficiently determine the range of age rank belonging to user, user is effectively protected;Reduce media provider at the same time Employment cost.

Reference Fig. 1, shows a kind of step flow chart of embodiment of the method 1 to user's grading control of the application, institute Method is stated specifically to may comprise steps of:

Step 101, obtain physiological data of the targeted customer during a certain media data is obtained;

In the present embodiment, media data can include video, audio, FLASH, Games Software etc., using media data as It is real that the media content of carrier can include film, TV, music, image, advertisement, interactive game, web page contents etc. the application Example is applied not to be restricted this.

In practical applications, user usually can obtain media number by browser or application program (such as media player) According to for example, watching TV play by media player.

It is quantifiable, objective and anti-in real time to can be used for that user produces media data naturally for physiological data Feedback, reflects ability to bear of the user to media data to a certain extent.

Thus, in practical applications, user is when obtaining media data, due to receiving vision, the sense of hearing of media data Stimulate, or to the emotional reactions that the media content using media data as carrier produces, can all cause the user's physiological data Change, for example, blood pressure can rise when hearing the audio fragment of fierceness, when seeing the vidclip of terror, pupil can amplify, Because nervous game operation and palpitating speed etc. in interactive scene of game, at this point it is possible to obtain the user's (i.e. target User) physiological data.

As a kind of example of the embodiment of the present application specific implementation, the physiological data can include blood pressure parameter, pulse One or more in a variety of physiological datas such as parameter, pupil size parameter.

Step 102, calculate the targeted customer physiological data average value mu;

Specifically, the same physiological data of targeted customer is possible to, in a fixed scope fluctuation, to collect To multiple numerical value of same physiological data of the targeted customer during media data is obtained.The physiological data being collected into can be with For same physiological data (such as pulse data), all numerical value for this physiological data being then collected into by calculating, really Set the goal user this physiological data average value mu.For example, calculate be collected into 5 pulse datas (65 beats/min, 63 Beat/min, 64 beats/min, 66 beats/min and 67 beats/min) average value, calculating process is as follows:

(65+63+64+66+67) ÷ 5=65 (beat/min)

It is of course also possible to a variety of physiological datas of the targeted customer during media data is obtained are collected, each Physiological data has multiple numerical value;Then be directed to the physiological data of each, calculate its average value, the embodiment of the present application to this not It is restricted.

Step 103, search the average value mu in the value sequence [μ previously generated1, μ2, μ3..., μn] in position;

In the embodiment of the present application, the value sequence [μ1, μ2, μ3..., μn] can be to be adhered to separately not for what is gathered in advance With the user of the range of age, when obtaining same media data, the intersection point institute for counting the distribution curve of its physiological data respectively is right The value μ answered1, μ2, μ3..., μnThe sequence of formation.

In the embodiment of the present application, the corresponding physiological data of each the range of age can be pre-set, and generates physiological data Value sequence [μ1, μ2, μ3..., μn].Physiological data and the range of age are many-to-one relations.Value sequence [μ1, μ2, μ3..., μn] In diverse location correspond to different the range of age ranks.The range of age rank is to bear energy to media data according to user What power determined.

Specifically, the user for adhering to all ages and classes scope separately can be gathered in advance, the life when obtaining a certain media data Data are managed, and according to the range of age and the species of physiological data belonging to user, classifies to the physiological data collected, carries out Normalized and the distribution curve for drawing the corresponding physiological data of each the range of age.The institute for belonging to age-bracket is useful The a certain physiological data distribution curve at family, as shown in Fig. 2, transverse axis can represent size (such as u of physiological data valuex-1, u, uxIllustrate the size of physiological data), the longitudinal axis can represent that (such as n, which is illustrated, to be collected for the number of physiological data of collection user Physiological data size is the number of u).The value μ corresponding to the corresponding physiological data intersections of complex curve of each the range of age is counted respectively1, μ2, μ3..., μn, and generate the value sequence [μ of physiological data1, μ2, μ3..., μn].For example, μ2It is the physiological data of underage users The intersection point of the physiological data distribution curve of distribution curve and child user to physiological data value;μ3The physiology of underage users Data distribution curve and the intersection point of the physiological data distribution curve of young and middle-aged user to physiological data value, underage users Physiological data is in μ2And μ3Between position, i.e. μ2And μ3Between the range of age rank of position correspondence be teenage.

In a preferred embodiment of the present application, the value sequence can generate in the following way:

Sub-step S11, the wearable device by acting on user's body, gather multiple users and are obtaining a certain matchmaker in advance During volume data, the one-dimensional vector of physiological data corresponding with time shaft;

Wherein, the physiological data can include blood pressure parameter, Pulse-Parameters, and/or pupil size parameter.Specific real In existing, the life that multiple users change over time during the media data is obtained can be gathered in advance by wearable device Data, (species of physiological data can be marked with dateType) are managed, and generates the physiological data sequentially in time One-dimensional vector (can be labeled as), such as generate using time shaft as X-axis, physiological data is the one-dimensional vector of Y-axis.

At present, wearable device develops rapidly, suffers from extensively should in every field such as health, amusement, communication, photographies With.Wearable device can gather the physiological data of user in real time, such as wearable device gathers wearable device user in real time Blood glucose, blood pressure, heart rate, body temperature, the physiological data such as respiratory rate, and the physiological data collected can be uploaded database In, it is established that the physiological data storehouse of a covering a large number of users colony.

Wearable device be it is a kind of the technologies such as sensor, wireless telecommunications, multimedia are embedded into directly be worn on user's body On, or it is incorporated into the clothes of user or the intelligent terminal of accessory.Wearable device with possess computing function, can connect mobile phone, The portable accessory form of each Terminal Type such as computer exists, and comparing the product of mainstream has following several classes:

1st, wrist-watch, wrist strap and the ring product using hand as support, such as intelligent watch, intelligent ring;

2nd, the glasses class product using head as support, such as intelligent earphone, intelligent glasses;

3rd, the footwear using foot as support, such as intelligent shoe;

4th, directly to take in the tablet class product of inside of human body, such as smart pill.

Sub-step S12, calculate the physiological data one-dimensional vector gaussian distribution characteristic parameter;

The average value for the one-dimensional vector that gaussian distribution characteristic parameter can include physiological data (can be labeled as) and it is raw Managing the variance of the one-dimensional vector of data (can be labeled as)。

After generating multiple one-dimensional vectors, all one-dimensional vectors are normalized, the one-dimensional vector of rejecting abnormalities;It is logical Calculating is crossed, the Gaussian Distribution Parameters of the one-dimensional vector (not including abnormal one-dimensional vector) of all users is obtained, can be labeled asWherein,It is average value, has reacted ability to bear of the user to media data;It is variance, has reacted user To the unified degree of the ability to bear of media data.

Sub-step S13, extraction has age-grade scope respectively, and, the feature of the one-dimensional vector of same physiological data User;

Can using the one-dimensional vector with same physiological data and belong to all users of 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 User is as feature user.Different feature users have corresponded to different the ranges of age.

Sub-step S14, the gaussian distribution characteristic parameter for the feature user, calculate its average value and variance respectively;

Specifically, each feature user includes multiple users, each user have corresponding physiological data it is one-dimensional to The average value and variance of amount.Feature can be determined by the average value of the one-dimensional vector for the physiological data for calculating all users The average value of the one-dimensional vector of the physiological data of user (can be labeled as);And can be by calculating all users' The variance of the one-dimensional vector of physiological data, determining the variance of the one-dimensional vector of the physiological data of feature user (can be labeled as).It can calculate the corresponding feature user's of each the range of age respectivelyAnd

Sub-step S15, the corresponding distribution curve of average value and variance generation using the feature user;

In the embodiment of the present application, the physiological data of feature user can obey mathematic expectaion and beAnd standard varianceGaussian Profile.The physiological data that this feature user can be drawn using the average value and variance of feature user is corresponded to Gaussian distribution curve.

Sub-step S16, count value μ corresponding to the intersection point of the distribution curve respectively1, μ2, μ3..., μnForm value sequence [μ1, μ2, μ3..., μn]。

The Gaussian distribution curve of physiological data corresponding with each the range of age has intersection point.It is corresponding to count each the range of age The intersection point of Gaussian distribution curve, extracts value (such as μ of the corresponding physiological data of all intersection points1, μ2, μ3..., μn), using being extracted Value (such as μ arrived1, μ2, μ3..., μn), generation value sequence (such as [μ1, μ2, μ3..., μn])

In order to make those skilled in the art more fully understand the embodiment of the present application, below using specific example for this Shen It please illustrate.

The range of age of user can be divided into children, teenage, young and middle-aged and old.Correspondingly, the age of user set Context level can include children, teenage, young and middle-aged and old.

Exemplified by previously generating pulse data value sequence, specific generation step is as follows:

1st, by Intelligent bracelet, the arteries and veins that multiple users change over time during a certain media data is obtained is gathered in advance Fight data, and generate the one-dimensional vector of pulse data sequentially in time;

2nd, the one-dimensional vector of the pulse data of all users is normalized, then calculates and pass through normalized The average value and variance of one-dimensional vector afterwards;

3rd, feature user is extracted, specifically, all users for belonging to age-grade scope were extracted as the age Scope respective stages another characteristic user, for example, being extracted the range of age as the range of age level for all users of children Not Wei children feature user.

4th, using each the range of age level another characteristic user one-dimensional vector average value and variance, calculate each age respectively The average value and variance of the physiological data of the feature user of context level, for example, by calculating, it is youngster to obtain the range of age rank The physiological data average value of virgin feature user is 61 beats/min, variance 1.

5th, corresponding distribution curve is generated using the average value and variance of each the range of age level another characteristic user.It is specific next Say, using the feature user of children average value and variance generation children user pulse data distribution curve, using not into The average value and variance of the feature user in year generate the pulse data distribution curve of minor user, using young and middle-aged feature The pulse data distribution curve of the user of average value and variance the generation the young and the middle aged of user, using being averaged for old feature user The pulse data distribution curve of the user in value and variance generation old age.The corresponding pulse data distribution curve of each the range of age is as schemed (being respectively from left to right children, teenage, young and middle-aged, old corresponding pulse data distribution curve) shown in 3, children are corresponding Pulse data distribution curve is μ with the value corresponding to minor corresponding pulse data distribution curve intersection point2, teenage correspondence Pulse data distribution curve with the value corresponding to young and middle-aged corresponding pulse data distribution curve intersection point be μ3, it is young and middle-aged right The pulse data distribution curve answered is μ with the value corresponding to old corresponding pulse data distribution curve intersection point4

6th, using children feature user average value and variance determine children feature user minimum pulse data μ1 (such as μ1For the average value of feature user and the difference of variance of children), determined using the average value and variance of old feature user The minimum pulse data μ of old feature user5(such as μ5For old feature user average value and variance and), utilize μ1, μ2, μ3, μ4, μ5Generation user obtains the value sequence [μ of the pulse data of the film1, μ2, μ3, μ4, μ5]。

Step 104, according to the value sequence [μ1, μ2, μ3..., μn] in location determination described in year belonging to targeted customer Age context level.

In value sequence [μ1, μ2, μ3..., μn] in, find the average value of the physiological data of the targeted customer.After finding, It is assured that the average value in value sequence [μ1, μ2, μ3..., μn] in position, by the average value in value sequence [μ1, μ2, μ3..., μn] in the range of age rank of position correspondence be determined as the range of age rank of user.

In a preferred embodiment of the present application, the value sequence [μ1, μ2, μ3..., μn] in position have respectively Corresponding the range of age rank, above-mentioned steps 104 can include following sub-step:

Sub-step 104-1, the extraction value sequence [μ1, μ2, μ3..., μn] in position corresponding to the range of age rank

Sub-step 104-2, the range of age rank that will be extracted, are determined as the range of age level belonging to the targeted customer Not.

In the embodiment of the present application, the position in value sequence [μ 1, μ 2, μ 3 ..., μ n] has corresponding the range of age respectively Rank.Position of the physiological data average value of targeted customer in value sequence is found, the position will be extracted from database Corresponding the range of age rank, and the range of age rank extracted is determined as the range of age rank of targeted customer.Example Such as, the range of age rank of the position correspondence between value sequence μ 1 and μ 2 is children, search targeted customer physiological data it is flat Positions of the average u in value sequence [μ 1, μ 2, μ 3 ..., μ n], then the position between μ 1 and μ 2 find the average value u, just The range of age rank (children) of the position correspondence between μ 1 and μ 2 can be extracted.The range of age rank children of extraction are determined as The rank of targeted customer, that is, 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 include children, teenage, middle green grass or young crops Year, old age.According to the user's physiological data for adhering to all ages and classes scope separately, it is [μ to previously generate value sequence1, μ2, μ3, μ4, μ5].Respectively The corresponding physiological data distribution curve of the range of age (is respectively as shown in Figure 3 from left to right children, teenage, the young and the middle aged is old Corresponding physiological data distribution curve).Value sequence is [μ1, μ2, μ3, μ4, μ5] diverse location correspond to different the range of age levels Not, concrete condition is as follows:

1、μ1And μ2Between position, corresponding the range of age rank is children;

2、μ2And μ3Between position, corresponding the range of age rank is teenage;

3、μ3And μ4Between position, corresponding the range of age rank for the young and the middle aged;

4、μ4And μ5Between position, corresponding the range of age rank for old age.

It is [μ that average value u, which is searched, in the value sequence previously generated1, μ2, μ3, μ4, μ5] in position, for example, average value u In μ2And μ3Between position (can be understood as u and be more than μ2,And it is less than μ3), it is then determined that the range of age rank of the targeted customer To be teenage.

It should be noted that the range of age rank can not be according to law age division, and according to user's Ability to bear divides.For example, 18 precession of the equinoxes, the one day and 18 years old user for spending one day can not be distinguished by physiological data, but use The ability to bear at family can be distinguished according to physiological data.

In the embodiment of the present application, can by constantly collecting physiological data of the user during media data is obtained, And user is classified, you can regularly update the range of age rank of user, realize and user is effectively protected.In addition, The physiological data and the range of age rank of user can also be preserved at the same time, constantly extends sample, so as to for according to raw Manage data to be classified user, there is provided more preferable accuracy.

In the embodiment of the present application, can by physiological data to user carry out automatic classification, without staff to Family is classified, and is avoided the problem that manual grading skill causes user class mistake, is reduced the workload of staff, is improved pair The efficiency of user's classification, reduces the employment cost of media provider.Physiological data can be used for user to media data from but Quantifiable, the objective and real-time feedback so produced, reflects user and bears energy to media data to a certain extent Power, the application determine the range of age rank belonging to user by physiological data, with the user class determined according to lawful age Compare, the range of age rank of the application is objective and accurate, realizes effective protection to user.

In addition, the embodiment of the present application can be determined belonging to targeted customer respectively by the average value of several physiological datas The range of age rank, is then based on identified the range of age rank, user is classified.Specifically, if all kinds Physiological data determine that the range of age rank is age-grade context level, it is possible to determine the range of age level belonging to the user Not, such as by the range of age rank belonging to pulse data, blood pressure data and pupil size data respectively definite user all It is children, then the range of age rank of the user is exactly children;If the physiological data of all kinds determines the range of age rank It is not age-grade context level, then searches the range of age rank determined by the physiological data of most species, and by majority The range of age rank determined by the physiological data of species is determined as the range of age rank of the user, for example, passing through Pulse Rate Determine that the range of age rank belonging to user is all children respectively according to, blood pressure data, and the use is determined by pupil size data The range of age rank belonging to family is teenage, at this moment children is determined as to the range of age rank of the user.The application can be with User is classified by several physiological datas, so as to reduce the error to user's classification, the protection to user is strengthened and makees With.

Reference Fig. 4, shows a kind of step flow chart of embodiment of the method 2 to user's grading control of the application, institute Method is stated specifically to may comprise steps of:

Step 201, the wearable device by acting on targeted customer's body, it is a certain in acquisition to gather the targeted customer Physiological data during media data;

In the embodiment of the present application, when user is obtaining media data by mobile phone, computer when terminal, pass can be passed through Physiological data of the wearable device collection targeted customer of connection during media data is obtained, it is possible to be collected into targeted customer Multiple numerical value of physiological data during the media data is obtained.Exist for example, being collected into targeted customer by Intelligent bracelet Watch the pulse data during film, be 65 beats/min respectively, 63 beats/min, 64 beats/min, 66 beats/min, 67 Beat/min.

Step 202, calculate the targeted customer physiological data average value mu;

Step 203, determine physiological data distribution characteristics section belonging to the physiological data of the targeted customer;

Wherein, the physiological data distribution characteristics section be for age-grade range attribute ageType, it is same to obtain Take media data attribute videoType, the gaussian distribution characteristic section of all users of same physiological data attribute dataType;

Physiological data distribution characteristics section can be understood as:Belong to all users of age-grade scope in same acquisition matchmaker During volume data attribute videoType (such as viewing horrow movie), the gaussian distribution characteristic section of its same physiological data formation. For example, it can be [58,64] that the range of age, which is pulse data distribution characteristics section of the user of children when watching certain film,; The range of age can be [64,70] for pulse data distribution characteristics section of the minor user when watching certain film;Year Pulse data distribution characteristics section of the age scope for young and middle-aged user when watching certain film can be [70,76];Age Pulse data distribution characteristics section of the scope for old user when watching certain film can be [76,81].

After the average value for calculating the physiological data of targeted customer, the physiology belonging to multiple numerical value of the physiological data is searched Data distribution characteristics section, if most of numerical value of the physiological data belongs to same physiological data distribution characteristics section, just The physiological data distribution characteristics section can be determined as the physiological data distribution characteristics section belonging to the physiological data.For example, The pulse data of targeted customer is 65 beats/min, 63 beats/min, 64 beats/min, 66 beats/min and 67 beats/min respectively, is had 4 numerical value (64 beats/min, 65 beats/min, 66 beats/min and 67 beats/min) belong to section [64,70], only 2 numbers Value (63 beats/min and 64 beats/min) belongs to section [58,64], i.e. pulse data belonging to the pulse data of the targeted customer Distribution characteristics section is [64,70].

Step 204, search the average value mu in the value sequence [μ previously generated1, μ2, μ3..., μn] in position;

Wherein, the value sequence [μ1, μ2, μ3..., μn] be for the user for adhering to all ages and classes scope separately gathered in advance, When obtaining same media data, the value μ corresponding to the intersection point for the distribution curve for counting its physiological data respectively1, μ2, μ3..., μnThe sequence of formation.

Step 205, according to the physiological data distribution characteristics section and the value sequence [μ1, μ2, μ3..., μn] in position Put, determine the range of age rank belonging to the targeted customer.

In the present embodiment, the corresponding age model in physiological data distribution characteristics section belonging to the physiological data of targeted customer The range of age rank for enclosing the position correspondence with the average value of the physiological data of the targeted customer in value sequence is identical, it is possible to Determine the range of age rank belonging to cloth mark user.

For example, the value sequence for previously generating pulse data when user watches certain film is [58,64,70,76,81]. The range of age rank of position correspondence between 58 to 64 is children, the range of age rank of the position correspondence between 64 to 70 To be teenage, the range of age rank of the position correspondence between 70 to 76 is the young and the middle aged, the position correspondence between 76 to 81 The range of age rank for old age.65 beats/min of the average value of the pulse data of targeted customer value sequence [58,64,70,76, 81] position between 64 to 70.Pulse data distribution characteristics section [64,70] belonging to the pulse data of the targeted customer is right The range of age answered is teenage, and the year of the position correspondence between 64 to 70 in value sequence [58,64,70,76,81] Age context level is teenage, it is possible to the range of age rank of the targeted customer is determined as teenage.

Certainly, corresponding the range of age in physiological data distribution characteristics section belonging to the physiological data of targeted customer and the mesh The range of age rank for marking position correspondence of the average value of the physiological data of user in value sequence differs, and can collect again The physiological data of targeted customer, is classified it.

The application can gather the physiological data of user by acting on the wearable device of user's body, ensure that user Physiological data it is authentic and valid, and then ensure that to user classification accuracy

It should be noted that for embodiment of the method, in order to be briefly described, therefore it is all expressed as to a series of action group Close, but those skilled in the art should know, the embodiment of the present application and from the limitation of described sequence of movement, because according to According to the embodiment of the present application, some steps can use other orders or be carried out at the same time.Secondly, those skilled in the art also should Know, embodiment described in this description belongs to preferred embodiment, and involved action not necessarily the application is implemented Necessary to example.

With reference to Fig. 5, show a kind of structure diagram of user's grading control device embodiment of the application, can specifically wrap Include following module:

Physiological data acquisition module 501, for obtaining physiology number of the targeted customer during a certain media data is obtained According to;

Computing module 502, the average value mu of the physiological data for calculating the targeted customer;

Searching module 503, for searching the average value mu in the value sequence [μ previously generated1, μ2, μ3..., μn] in Position, the value sequence [μ1, μ2, μ3..., μn] it is for the user for adhering to all ages and classes scope separately gathered in advance, obtaining together During one media data, the value μ corresponding to the intersection point for the distribution curve for counting its physiological data respectively1, μ2, μ3..., μnFormed Sequence;

The range of age rank determination module 504, for according to the value sequence [μ1, μ2, μ3..., μn] in location determination The range of age rank belonging to the targeted customer.

In a preferred embodiment of the present application, described device further includes:

Physiological data distribution characteristics interval determination module 505, for determining belonging to the physiological data of the targeted customer Physiological data distribution characteristics section, wherein, the physiological data distribution characteristics section is for age-grade range attribute AgeType, same acquisition media data attribute videoType, the height of all users of same physiological data attribute dataType This distribution characteristics section;

Correspondingly, the range of age rank determination module 504, for according to the physiological data distribution characteristics section and described Value sequence [μ1, μ2, μ3..., μn] in position, determine the range of age rank belonging to the targeted customer.

In a preferred embodiment of the present application, the physiological data acquisition module 501 includes:

Physiological data collection submodule 501-1, for the wearable device by acting on targeted customer's body, gathers institute State physiological data of the targeted customer during a certain media data is obtained.

As a preferred embodiment of the present application, the value sequence [μ1, μ2, μ3..., μn] generate in the following way:

By acting on the wearable device of user's body, multiple users are gathered in advance and are obtaining the mistake of a certain media data Cheng Zhong, the one-dimensional vector of physiological data corresponding with time shaft, the physiological data include blood pressure parameter, Pulse-Parameters, and/or Pupil size parameter;

Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of the physiological data;

Extraction has age-grade scope respectively, and, the feature user of the one-dimensional vector of same physiological data;

For the gaussian distribution characteristic parameter of the feature user, its average value and variance are calculated respectively;

Corresponding distribution curve is generated using the average value and variance of the feature user;

The value μ corresponding to the intersection point of the distribution curve is counted respectively1, μ2, μ3..., μnForm value sequence [μ1, μ2, μ3..., μn]。

In a preferred embodiment of the present application, the value sequence [μ1, μ2, μ3..., μn] in position have respectively Corresponding the range of age rank, the range of age rank determination module 504 include:

The range of age rank extracting sub-module 504-1, for extracting the value sequence [μ1, μ2, μ3..., μn] in position Corresponding the range of age rank;

The range of age rank determination sub-module 504-2, for the range of age rank that will be extracted, is determined as the target The range of age rank belonging to user.

For device embodiment, since it is substantially similar to embodiment of the method, so description is fairly simple, it is related Part illustrates referring to the part of embodiment of the method.

Each embodiment in this specification is described by the way of progressive, what each embodiment stressed be with The difference of other embodiment, between each embodiment identical similar part mutually referring to.

It should be understood by those skilled in the art that, the embodiment of the embodiment of the present application can be provided as method, apparatus or calculate Machine program product.Therefore, the embodiment of the present application can use complete hardware embodiment, complete software embodiment or combine software and The form of the embodiment of hardware aspect.Moreover, the embodiment of the present application can use one or more wherein include computer can With in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of program code The form of the computer program product of implementation.

The embodiment of the present application is with reference to according to the method for the embodiment of the present application, terminal device (system) and computer program The flowchart and/or the block diagram of product describes.It should be understood that it can realize flowchart and/or the block diagram by computer program instructions In each flow and/or block and flowchart and/or the block diagram in flow and/or square frame combination.These can be provided Computer program instructions are set to all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminals Standby processor is to produce a machine so that is held by the processor of computer or other programmable data processing terminal equipments Capable instruction is produced and is used for realization in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames The device for the function of specifying.

These computer program instructions, which may also be stored in, can guide computer or other programmable data processing terminal equipments In the computer-readable memory to work in a specific way so that the instruction being stored in the computer-readable memory produces bag The manufacture of command device is included, which realizes in one flow of flow chart or multiple flows and/or one side of block diagram The function of being specified in frame or multiple square frames.

These computer program instructions can be also loaded into computer or other programmable data processing terminal equipments so that Series of operation steps is performed on computer or other programmable terminal equipments to produce computer implemented processing, so that The instruction performed on computer or other programmable terminal equipments is provided and is used for realization in one flow of flow chart or multiple flows And/or specified in one square frame of block diagram or multiple square frames function the step of.

Although having been described for the preferred embodiment of the embodiment of the present application, those skilled in the art once know base This creative concept, then can make these embodiments other change and modification.So appended claims are intended to be construed to Including preferred embodiment and fall into all change and modification of the embodiment of the present application scope.

Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or order.Moreover, term " comprising ", "comprising" or its any other variant meaning Covering non-exclusive inclusion, so that process, method, article or terminal device including a series of elements are not only wrapped Those key elements are included, but also including other elements that are not explicitly listed, or further include as this process, method, article Or the key element that terminal device is intrinsic.In the absence of more restrictions, wanted by what sentence "including a ..." limited Element, it is not excluded that also there are other identical element in the process including the key element, method, article or terminal device.

To a kind of method that grading control is carried out to user provided herein and a kind of user is classified above The device of control, is described in detail, and specific case used herein carries out the principle and embodiment of the application Illustrate, the explanation of above example is only intended to help to understand the present processes and its core concept;Meanwhile for this area Those skilled in the art, according to the thought of the application, there will be changes in specific embodiments and applications, to sum up Described, this specification content should not be construed as the limitation to the application.

Claims (8)

  1. A kind of 1. method that grading control is carried out to user, it is characterised in that the described method includes:
    Obtain physiological data of the targeted customer during a certain media data is obtained;
    Calculate the average value mu of the physiological data of the targeted customer;
    Determine the physiological data distribution characteristics section belonging to the physiological data of the targeted customer, wherein, the physiological data point Cloth characteristic interval is for age-grade range attribute ageType, same acquisition media data attribute videoType, together The gaussian distribution characteristic section of all users of one physiology data attribute dataType;
    The average value mu is searched in the value sequence [μ previously generated1, μ2, μ3..., μn] in position, the value sequence [μ1, μ2, μ3..., μn] it is for the user for adhering to all ages and classes scope separately gathered in advance, when obtaining same media data, count respectively Value μ corresponding to the intersection point of the distribution curve of its physiological data1, μ2, μ3..., μnThe sequence of formation;
    According to the physiological data distribution characteristics section and the value sequence [μ1, μ2, μ3..., μn] in position, determine the mesh Mark the range of age rank belonging to user.
  2. 2. according to the method described in claim 1, it is characterized in that, the acquisition targeted customer is obtaining a certain media data mistake The step of physiological data in journey is:
    By acting on the wearable device of targeted customer's body, gather the targeted customer and obtaining a certain media data process In physiological data.
  3. 3. the according to the method described in claim 1, it is characterized in that, value sequence [μ1, μ2, μ3..., μn] in the following way Generation:
    By acting on the wearable device of user's body, multiple users are gathered in advance and are obtaining the process of a certain media data In, the one-dimensional vector of physiological data corresponding with time shaft, the physiological data includes blood pressure parameter, Pulse-Parameters, and/or pupil Hole size parameter;
    Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of the physiological data;
    Extraction has age-grade scope respectively, and, the feature user of the one-dimensional vector of same physiological data;
    For the gaussian distribution characteristic parameter of the feature user, its average value and variance are calculated respectively;
    Corresponding distribution curve is generated using the average value and variance of the feature user;
    The value μ corresponding to the intersection point of the distribution curve is counted respectively1, μ2, μ3..., μnForm value sequence [μ1, μ2, μ3..., μn]。
  4. 4. the method according to claim 1 or 3, it is characterised in that the value sequence [μ1, μ2, μ3..., μn] in position There is corresponding the range of age rank respectively, it is described according to the value sequence [μ1, μ2, μ3..., μn] in location determination described in The step of the range of age rank belonging to targeted customer, includes:
    Extract the value sequence [μ1, μ2, μ3..., μn] in position corresponding to the range of age rank;
    The range of age rank that will be extracted, is determined as the range of age rank belonging to the targeted customer.
  5. 5. a kind of device to user's grading control, it is characterised in that described device includes:
    Physiological data acquisition module, for obtaining physiological data of the targeted customer during a certain media data is obtained;
    Computing module, the average value mu of the physiological data for calculating the targeted customer;
    Physiological data distribution characteristics interval determination module, for determining the physiological data belonging to the physiological data of the targeted customer Distribution characteristics section, wherein, the physiological data distribution characteristics section be for age-grade range attribute ageType, Same acquisition media data attribute videoType, the Gaussian Profile of all users of same physiological data attribute dataType are special Levy section;
    Searching module, for searching the average value mu in the value sequence [μ previously generated1, μ2, μ3..., μn] in position, it is described Value sequence [μ1, μ2, μ3..., μn] it is for the user for adhering to all ages and classes scope separately gathered in advance, obtaining same media number According to when, the value μ corresponding to the intersection point for the distribution curve for counting its physiological data respectively1, μ2, μ3..., μnThe sequence of formation;
    The range of age rank determination module, for according to the physiological data distribution characteristics section and the value sequence [μ1, μ2, μ3..., μn] in position, determine the range of age rank belonging to the targeted customer.
  6. 6. device according to claim 5, it is characterised in that the physiological data acquisition module includes:
    Physiological data collection submodule, for the wearable device by acting on targeted customer's body, gathers the target and uses Physiological data of the family during a certain media data is obtained.
  7. 7. device according to claim 5, it is characterised in that the value sequence [μ1, μ2, μ3..., μn] in the following way Generation:
    By acting on the wearable device of user's body, multiple users are gathered in advance and are obtaining the process of a certain media data In, the one-dimensional vector of physiological data corresponding with time shaft, the physiological data includes blood pressure parameter, Pulse-Parameters, and/or pupil Hole size parameter;
    Calculate the gaussian distribution characteristic parameter of the one-dimensional vector of the physiological data;
    Extraction has age-grade scope respectively, and, the feature user of the one-dimensional vector of same physiological data;
    For the gaussian distribution characteristic parameter of the feature user, its average value and variance are calculated respectively;
    Corresponding distribution curve is generated using the average value and variance of the feature user;
    The value μ corresponding to the intersection point of the distribution curve is counted respectively1, μ2, μ3..., μnForm value sequence [μ1, μ2, μ3..., μn]。
  8. 8. the device according to claim 5 or 7, it is characterised in that the value sequence [μ1, μ2, μ3..., μn] in position There is corresponding the range of age rank respectively, the range of age rank determination module includes:
    The range of age rank extracting sub-module, for extracting the value sequence [μ1, μ2, μ3..., μn] in position corresponding to year Age context level;
    The range of age rank determination sub-module, for the range of age rank that will be extracted, is determined as belonging to the targeted customer The range of age rank.
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CN101755406A (en) * 2007-03-08 2010-06-23 埃姆申塞公司 A method and system for rating media and events in media based on physiological data
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CN101755406A (en) * 2007-03-08 2010-06-23 埃姆申塞公司 A method and system for rating media and events in media based on physiological data
CN104239107A (en) * 2014-09-23 2014-12-24 三星电子(中国)研发中心 Application customizing method and application customizing device

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