CN105528077A - Theme setting method and device - Google Patents
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- CN105528077A CN105528077A CN201510921100.2A CN201510921100A CN105528077A CN 105528077 A CN105528077 A CN 105528077A CN 201510921100 A CN201510921100 A CN 201510921100A CN 105528077 A CN105528077 A CN 105528077A
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Abstract
The invention provides a theme setting method. The method comprises the following steps: acquiring personality characteristic data of a user, wherein the personality characteristic data include user data relevant to the personality characteristics of the user; analyzing the acquired personality characteristic data in order to obtain the personality characteristics of the user; setting a corresponding system theme for the user based on the obtained personality characteristics of the user. By adopting the theme setting method, the system theme can be automatically set for the user based on the personality characteristics of the user, and the user experience is improved.
Description
Technical field
The disclosure relates to communication field, particularly relates to theme setting method and device.
Background technology
Thematic function is a basic function in smart mobile phone, the theme liked is selected to be set to system theme in the theme that user can provide in system, under different themes, the dominant hue of intelligent mobile phone system desktop and the space style of system control all not identical.But current user, when arranging system theme, usually depends on user and manually selects, very not convenient.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of theme setting method and device.
According to the first aspect of disclosure embodiment, provide a kind of theme setting method, described method comprises:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
Optionally, the described described character trait data analysis to collecting comprises with the character trait obtaining described user:
Judge whether the character trait data collected are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
When the character trait data collected are described default character trait data, obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
Optionally, before the character trait of the described acquisition character trait attribute corresponding with described default character trait data as described user, described method also comprises:
Statistics gatherer is to the number of times of described character trait data;
Judge whether the number of times collecting described character trait data reaches predetermined threshold value;
When the number of times collecting described character trait data reaches predetermined threshold value, then obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
Optionally, the described described character trait data analysis to collecting comprises with the character trait obtaining described user:
Judge whether the described character trait data collected are default character trait data;
When the described character trait data collected are default character trait data, the described character trait data collected are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
When arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching collected, then obtain the character trait attribute corresponding with this numerical intervals character trait as described user.
Optionally, the character trait of the described described user based on getting is that described user arranges corresponding theme and comprises:
The character trait of the described user got is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
When the character trait of the described user got mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
Optionally, described method also comprises:
After to the described character trait data analysis collected, when the character trait getting described user changes, the system theme of character trait to described user based on the described user after changing upgrades.
Optionally, described character trait data comprise the keyword relevant to the character trait of user, picture and personalized configuration data;
Wherein, relevant to the character trait of user picture comprises carrying to preset expresses one's feelings or personage's picture of preset posture or scenery picture; The personalized configuration data relevant to the character trait of user comprises the personalized configuration data by the brightness data of user configured system desktop, application interface, tone data or other type.
According to the second aspect of disclosure embodiment, provide a kind of theme setting device, described device comprises:
Acquisition module, is configured to the character trait data gathering user; Described character trait data comprise the user data relevant to the character trait of user;
Acquisition module, the described character trait data analysis being configured to collect described acquisition module is to obtain the character trait of described user;
Arrange module, the character trait being configured to the described user got based on described acquisition module is that described user arranges corresponding system theme.
Optionally, described acquisition module comprises:
First judges submodule, is configured to judge whether the character trait data that described acquisition module collects are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
First obtains submodule, when the character trait data being configured to collect at described acquisition module are described default character trait data, obtains the character trait of the character trait attribute corresponding with described default character trait data as described user.
Optionally, described acquisition module also comprises:
Statistics submodule, is configured to add up the number of times that described acquisition module collects described character trait data;
Second judges submodule, is configured to judge whether the number of times that described acquisition module collects described character trait data reaches predetermined threshold value; When the number of times that described acquisition module collects described character trait data reaches predetermined threshold value, then obtain submodule by described first and obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
Optionally, described acquisition module comprises:
3rd judges submodule, is configured to judge whether the described character trait data that described acquisition module collects are default character trait data;
First matched sub-block, when the described character trait data being configured to collect at described acquisition module are default character trait data, the described character trait data collected by described acquisition module are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
Second obtains submodule, when being configured to the arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching that described acquisition module collects, then obtain the character trait of the character trait attribute corresponding with this numerical intervals as described user.
Optionally, the described module that arranges comprises:
Second matched sub-block, the character trait being configured to the described user got by described acquisition module is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
Submodule is set, when the character trait being configured to the described user got at described acquisition module mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
Optionally, described device also comprises:
Update module, after being configured to the described character trait data analysis described acquisition module collected when described acquisition module, when the character trait getting described user changes, the system theme of character trait to described user based on the described user after changing upgrades.
Optionally, described character trait data comprise the keyword relevant to the character trait of user, picture and personalized configuration data;
Wherein, relevant to the character trait of user picture comprises carrying to preset expresses one's feelings or personage's picture of preset posture or scenery picture; The personalized configuration data relevant to the character trait of user comprises the personalized configuration data by the brightness data of user configured system desktop, application interface, tone data or other type.
According to the third aspect of disclosure embodiment, a kind of theme setting device is provided, comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
In above embodiment of the present disclosure, by gathering the character trait data of user, described character trait data comprise the user data relevant to the character trait of user, and to the described character trait data analysis collected to obtain the character trait of described user, then the character trait based on the described user got is that described user arranges corresponding system theme, thus achieve and based on the character trait of user for automatically for user arranges system theme, lifting Consumer's Experience can be contributed to.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the schematic flow sheet of a kind of theme setting method according to an exemplary embodiment;
Fig. 2 is the schematic flow sheet of the another kind of theme setting method according to an exemplary embodiment;
Fig. 3 is the schematic block diagram of a kind of theme setting device according to an exemplary embodiment;
Fig. 4 is the schematic block diagram of the another kind of theme setting device according to an exemplary embodiment;
Fig. 5 is the schematic block diagram of the another kind of theme setting device according to an exemplary embodiment;
Fig. 6 is the schematic block diagram of the another kind of theme setting device according to an exemplary embodiment;
Fig. 7 is the schematic block diagram of the another kind of theme setting device according to an exemplary embodiment;
Fig. 8 is the schematic block diagram of the another kind of theme setting device according to an exemplary embodiment;
Fig. 9 is a kind of structural representation for described theme setting device according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
The term used in the disclosure is only for the object describing specific embodiment, and the not intended to be limiting disclosure." one ", " described " and " being somebody's turn to do " of the singulative used in disclosure and the accompanying claims book is also intended to comprise most form, unless context clearly represents other implications.It is also understood that term "and/or" used herein refer to and comprise one or more project of listing be associated any or all may combine.
Term first, second, third, etc. may be adopted although should be appreciated that to describe various information in the disclosure, these information should not be limited to these terms.These terms are only used for the information of same type to be distinguished from each other out.Such as, when not departing from disclosure scope, the first information also can be called as the second information, and similarly, the second information also can be called as the first information.Depend on linguistic context, word as used in this " if " can be construed as into " ... time " or " when ... time " or " in response to determining ".
In the related, user, when arranging system theme, usually depends in the theme that user provides in system and manually selects.Such as, for primary Android system, usual user oriented provides Light and Dark two themes, selects the theme liked in the theme that user can provide in systems in which.And for example, for Windows operating system, from Win8, what had system domain color arranges function, user can in the control panel of system choosing a topic color, then most of background colour of system all can change this color or close color into.Visible, in the related, user, when arranging system theme, relies on the manual selection with user usually, very inconvenient.
For solving the problem, the disclosure proposes a kind of theme setting method, by gathering the character trait data of user, described character trait data comprise the user data relevant to the character trait of user, and to the described character trait data analysis collected to obtain the character trait of described user, then the character trait based on the described user got is that described user arranges corresponding system theme, thus achieve and based on the character trait of user for automatically for user arranges system theme, lifting Consumer's Experience can be contributed to.
As shown in Figure 1, Fig. 1 is a kind of theme setting method according to an exemplary embodiment, and this theme setting method is used for, in terminal, comprising the following steps:
In a step 101, the character trait data of user are gathered; Described character trait data comprise the user data relevant to the character trait of user;
Above-mentioned terminal can comprise intelligent terminal; Such as this intelligent terminal can be the smart mobile phone of user.Above-mentioned character trait data can comprise user and use the user data relevant to the character trait of user produced in the process of intelligent terminal; Such as, character trait data can comprise the relevant user data of the character trait of the keyword relevant to the character trait of user, picture and personalized configuration data or other and user.
In the present embodiment, the above-mentioned character trait data that above-mentioned terminal can produce in the process of routine use terminal background acquisition user, wherein, terminal is when gathering above-mentioned character trait data, and dissimilar character trait data can adopt different acquisition methods respectively.
On the one hand, when above-mentioned character trait data are the keyword relevant to the character trait of user, this keyword can be daily note, the keyword relevant to the character trait of user in instant communication message sent of user; Such as, can be daily note, the keyword can expressing the current personality of user or emotion in instant communication message sent of user.This keyword also can be user often listen music, radio station or other online program type label; Such as, Online Music, radio station or other online program can be set up a type label usually, and the type label of the music of therefore often listening for user, radio station or other online program, indirectly can express the current personality of user or emotion usually.
Above-mentioned terminal is when gathering the above-mentioned keyword relevant to the character trait of user, if keyword relevant to the character trait of user in this keyword note that to be user daily sends, instant communication message, so terminal can adopt default Chinese Word Automatic Segmentation, text in the note sent user, instant communication message carries out word segmentation processing, obtains keyword wherein.If this keyword be user often listen music, radio station or other online program type label, so terminal directly can read the above-mentioned type label from the system data of correspondence application.
On the other hand, when above-mentioned character trait data are the picture relevant to the character trait of user, should picture relevant to the character trait of user can be carry to preset to express one's feelings or personage's picture of preset posture; Such as, when above-mentioned picture is personage's picture, personage's expression of carrying in this personage's picture or personage's attitude can express the current personality of user or emotion usually from the side.Such as, in this personage's picture, carry that smiling face's number is more or personage's attitude is abundanter, may show that the personality of user is more optimistic.Certainly, should the picture relevant to the character trait of user also can be scenery picture; Such as, when above-mentioned picture is scenery picture, in terminal, scenery picture is more, may show that user likes outdoor travel, or the personality of user is quieter.
Above-mentioned terminal is when gathering the above-mentioned picture relevant to the character trait of user, if above-mentioned picture is carry the personage's picture presetting expression or preset posture, above-mentioned terminal can adopt default Expression Recognition algorithm or gesture recognition algorithms to carry out smiling face's identification or gesture recognition to reading picture from system photograph album or system directory, when identify preset expression or preset posture time, then direct this kind of picture to be gathered.On the contrary, for unidentified go out the picture of personage, this kind of picture also can gather as scenery picture by above-mentioned terminal.
Certainly, above-mentioned character trait data except described above can be except the keyword relevant to the character trait of user, picture, can also be the personalized configuration data of user.When above-mentioned character trait data are the personalized configuration data relevant to the character trait of user, this personalized configuration data can be the brightness data, tone data etc. of user configured system desktop, application interface.Such as, user, in the process using above-mentioned terminal, by the personalized configuration data such as brightness data, tone data of user configured system desktop, application interface, can reflect the color preference of user usually from the side, and current personality and emotion.Such as, when the brightness of user configured system desktop, application interface and tone are partially dark, may show that this user is more sedate, melancholy or current mood is not good.On the contrary, when the brightness of user configured system desktop, application interface and tone entirety more lucid and more lively, may show that this user is more optimistic or current mood is pretty good.
Above-mentioned terminal, when gathering the above-mentioned personalized configuration data relevant to the character trait of user, directly can read corresponding configuration data from system data.
In a step 102, to the described character trait data analysis collected to obtain the character trait of described user; In the present embodiment, for the character trait data collected, because character trait data are the user data relevant to the character trait of user, therefore terminal can to the character trait data analysis collected to obtain the character trait of user.
Wherein, terminal is when obtaining the character trait of user to the character trait analysis collected, and dissimilar character trait data still can adopt different analytical approachs respectively.
The character trait data that terminal collects can be divided into two classes usually, and a class is can the data of the direct character trait of characterizing consumer, and another kind of is can the data of the character trait of characterizing consumer indirectly.
For can the data of the direct character trait of characterizing consumer, terminal need to carry out deep analysis, just can obtain the character trait of user by reading these data very clearly.Such as, can the data of the direct character trait of characterizing consumer can be the keyword relevant to the character trait of user or picture, terminal need to analyse in depth keyword or picture, just can obtain the character trait of user by simple coupling.Can the data of the character trait of characterizing consumer indirectly can be the personalized configuration information relevant to the character trait of user, after terminal needs to analyse in depth this personalized configuration information, the character trait of user can be obtained.
On the one hand, for can the character trait data of the direct character trait of characterizing consumer, such as relevant to the character trait of user keyword or picture, terminal is when analyzing for this keyword or picture, can by by this keyword or picture, with can the keyword of characterizing consumer character trait or picture carrying out mating the character trait obtaining user of presetting in system.
For the keyword relevant to the character trait of user collected, terminal can preset some keywords relevant to the character trait of user for mating in systems in which, wherein each keyword preset has been pre-arranged corresponding character trait attribute, when the keyword relevant to the character trait of user collected and the Keywords matching preset, then can obtain the character trait attribute corresponding to this keyword, as the character trait of user.
Wherein, in order to ensure precision of analysis, when the keyword relevant to the character trait of user that will collect and the Keywords matching preset, the all right statistics gatherer of terminal is to the number of times of this keyword, and judge whether the number of times collecting this keyword reaches predetermined threshold value, if reach predetermined threshold value, then obtain and the character trait attribute corresponding to the keyword matched, as the character trait of user.
Such as, terminal can arrange the character trait attribute of " melancholy ", a series of keyword can expressing user's " melancholy " character trait can be associated under this attribute, during any one keyword associated under the character trait attribute of the keyword hit this " melancholy " collected, then can be the character trait of this user by the character trait setup of attribute of this " melancholy ".In addition, when the number of times that terminal collects this keyword is little, such as only once, may can not react the character trait of user's " melancholy " in this case really, when the number of times collecting this keyword is more, more can react the character trait of user's " melancholy " strictly according to the facts, therefore in order to ensure precision of analysis, the all right statistics gatherer of terminal is to the number of times of this keyword, and the threshold value of a times of collection is set, such as 10 times, when the number of times that terminal collects this keyword reaches this threshold value, obtain the character trait attribute with " melancholy " corresponding to the keyword matched again, as the character trait of user.
For the picture relevant to the character trait of user collected, what such as collect carries the picture presetting expression or preset posture, terminal can be preset some and preset expression or the picture of preset posture for carrying of mating, wherein each picture preset all has been pre-arranged corresponding character trait attribute, when the picture relevant to the character trait of user collected and the picture match preset, then can obtain the character trait attribute corresponding to this picture, as the character trait of user.
Wherein, in order to ensure precision of analysis, when the picture relevant to the character trait of user that will collect and the picture match preset, the all right statistics gatherer of terminal is to the number of times of picture, and judge whether the number of times collecting picture reaches predetermined threshold value, if reach predetermined threshold value, then obtain and the character trait attribute corresponding to the default picture matched, as the character trait of user.
Such as, terminal can arrange the character trait attribute of " optimistic ", and the character trait attribute being somebody's turn to do " optimistic " can be defined as the character trait attribute of the picture carrying smiling face by terminal.When terminal collects the picture carrying smiling face, then can be the character trait of this user by the character trait setup of attribute of this " optimistic ".In addition, when terminal collect this number of times carrying the picture of smiling face little time, such as only once, may can not react the character trait of user's " optimistic " in this case really, when the number of times collecting the picture carrying smiling face is more, more can react the character trait of user strictly according to the facts, therefore in order to ensure precision of analysis, terminal can also carry the number of times of the picture of smiling face by statistics gatherer to this, and the threshold value of a times of collection is set, such as 10 times, when terminal collect this picture number of times carrying smiling face reach this threshold value time, obtain the character trait attribute of " optimistic " corresponding to the picture carrying smiling face with this again, as the character trait of user.
On the other hand, for can the character trait data of the character trait of characterizing consumer indirectly, such as relevant to the character trait of user personalized configuration data, terminal is when analysing in depth for this personalized configuration data, and the numerical intervals that this personalized configuration data can be preset by terminal in systems in which carries out mating the character trait obtaining user.
For the personalized configuration information relevant to the character trait of user collected, such as user configured system desktop, the brightness data of application interface, tone data, terminal can preset some numerical intervals for mating in systems in which, wherein each numerical intervals has been pre-arranged corresponding character trait attribute, terminal is when analyzing for this personalized configuration information collected, first can judge whether this personalized configuration information collected is default personalized configuration information, if this personalized configuration information collected is default personalized configuration information, then this personalized configuration information collected can be mated in the numerical intervals preset, when the personalized configuration information relevant to the character trait of user collected mates any one numerical intervals in the numerical intervals preset, then can obtain the character trait attribute corresponding to this data interval, as the character trait of user.
Such as, terminal using the brightness data of user configured system desktop or tone data as the personalized configuration information preset, can also arrange multiple numerical intervals simultaneously, and arranges a corresponding character trait attribute for each numerical intervals; Such as this numerical intervals current is for weighing brightness and the tone of system desktop, the personality of user more " melancholy " possible brightness of system desktop of configuring more low key tone is more single, the personality of user more " optimistic " system desktop of configuring may brighter display tone more lucid and more lively, therefore when arranging character trait attribute for numerical intervals, numerical intervals larger for the numerical value of correspondence can be set to the character trait attribute of " optimistic ", numerical intervals less for the numerical value of correspondence be set to the character trait attribute of " melancholy ".When analyzing, first terminal can judge that whether this personalized configuration information of collecting is brightness data or the tone data of system desktop, if, the brightness data of the system desktop collected or tone data can be continued to mate in the numerical intervals preset, if the brightness data of the system desktop collected or the numerical intervals of tone data fall into arbitrary numerical intervals, so terminal can obtain the character trait of character trait attribute as user of this numerical intervals.
Certainly, in actual applications, can the character trait data of the character trait of characterizing consumer indirectly for these, except the numerical intervals that can preset in systems in which described above carries out mating the character trait obtaining user, also can by the data collected be carried out calculating study to realize in the mathematical model built in advance as input data when realizing.
Such as, can based on the existing psychology achievement that can disclose relevance between specific user data and the character trait of user, be built into corresponding mathematical model, then after the data collected being carried out quantification treatment, be input in mathematical model as input data and carry out calculating study, analyze corresponding user characteristics.Wherein, the building mode of described mathematical model is not particularly limited in the present embodiment, such as can build corresponding mathematical model based on specific data mining algorithm or multilayer neural network.
In step 103, the character trait based on the described user got is that described user arranges corresponding system theme.
In the present embodiment, when terminal is based on the user characteristic data collected, after getting the character trait of this user, terminal can according to the character trait got for this user arranges corresponding system theme.Wherein, the content of system theme can carry out personalized customization; Such as, system theme can comprise the content such as the theme color of system theme or the control style of system theme usually, and when carrying out personalized customization for system theme, theme color and the control style of different system theme can be different.
When realizing, terminal can preset a theme storehouse in this locality, can comprise some subject classifications in this theme storehouse, and wherein terminal can be that each subject classification arranges different character trait attributes respectively according to the style of each class theme and color preference.Such as, theme in main body storehouse can be divided into " melancholy system ", " optimistic system " and " sedate system " three classes, for the theme of " melancholy system ", some themes that tone is more depressed can be comprised, for the theme of " optimistic system ", some themes that tone is more lucid and more lively can be comprised, for the theme of " sedate system ", the more uniform some themes of tone collocation can be comprised.The character trait of the user got can be mated by terminal in main body storehouse, when the character trait attributes match of the character trait of this user and any one subject classification, then can be this user's automatic capture system theme from this subject classification.In this way, the system that can not only realize carries out theme setting automatically, according to the character trait of user for this user arranges optimal system theme, thus lifting user can also be had very important significance to the perception of theme and Experience Degree.
In the present embodiment, the character trait data of the collection user that terminal can be real-time on backstage, along with increasing of the character trait data collected, the perception user change in character that terminal can be real-time.After terminal is based on the character trait data analysis collected, when the character trait getting this user changes, character trait after terminal can also change according to user is again for this user arranges system theme, the system theme be provided with is upgraded timely, thus make a kind of character trait along with user of the setting up procedure of whole system theme maintenance change and carry out the mechanism of dynamic change, thus Consumer's Experience can be promoted.
In the embodiment above, by gathering the character trait data of user, described character trait data comprise the user data relevant to the character trait of user, and to the described character trait data analysis collected to obtain the character trait of described user, then the character trait based on the described user got is that described user arranges corresponding system theme, thus achieve and based on the character trait of user for automatically for user arranges system theme, lifting Consumer's Experience can be contributed to.
As shown in Figure 2, Fig. 2 is a kind of theme setting method according to an exemplary embodiment, and this theme setting method is used for, in terminal, comprising the following steps:
In step 201, the character trait data of user are gathered; Described character trait data comprise the user data relevant to the character trait of user;
Above-mentioned terminal can comprise intelligent terminal; Such as this intelligent terminal can be the smart mobile phone of user.Above-mentioned character trait data can comprise user and use the user data relevant to the character trait of user produced in the process of intelligent terminal; Such as, character trait data can comprise the relevant user data of the character trait of the keyword relevant to the character trait of user, picture and personalized configuration data or other and user.
In the present embodiment, the above-mentioned character trait data that above-mentioned terminal can produce in the process of routine use terminal background acquisition user, wherein, terminal is when gathering above-mentioned character trait data, and dissimilar character trait data can adopt different acquisition methods respectively.
On the one hand, when above-mentioned character trait data are the keyword relevant to the character trait of user, this keyword can be daily note, the keyword relevant to the character trait of user in instant communication message sent of user; Such as, can be daily note, the keyword can expressing the current personality of user or emotion in instant communication message sent of user.This keyword also can be user often listen music, radio station or other online program type label; Such as, Online Music, radio station or other online program can be set up a type label usually, and the type label of the music of therefore often listening for user, radio station or other online program, indirectly can express the current personality of user or emotion usually.
Above-mentioned terminal is when gathering the above-mentioned keyword relevant to the character trait of user, if keyword relevant to the character trait of user in this keyword note that to be user daily sends, instant communication message, so terminal can adopt default Chinese Word Automatic Segmentation, text in the note sent user, instant communication message carries out word segmentation processing, obtains keyword wherein.If this keyword be user often listen music, radio station or other online program type label, so terminal directly can read the above-mentioned type label from the system data of correspondence application.
On the other hand, when above-mentioned character trait data are the picture relevant to the character trait of user, should picture relevant to the character trait of user can be carry to preset to express one's feelings or personage's picture of preset posture; Such as, when above-mentioned picture is personage's picture, personage's expression of carrying in this personage's picture or personage's attitude can express the current personality of user or emotion usually from the side.Such as, in this personage's picture, carry that smiling face's number is more or personage's attitude is abundanter, may show that the personality of user is more optimistic.Certainly, should the picture relevant to the character trait of user also can be scenery picture; Such as, when above-mentioned picture is scenery picture, in terminal, scenery picture is more, may show that user likes outdoor travel, or the personality of user is quieter.
Above-mentioned terminal is when gathering the above-mentioned picture relevant to the character trait of user, if above-mentioned picture is carry the personage's picture presetting expression or preset posture, above-mentioned terminal can adopt default Expression Recognition algorithm or gesture recognition algorithms to carry out smiling face's identification or gesture recognition to reading picture from system photograph album or system directory, when identify preset expression or preset posture time, then direct this kind of picture to be gathered.On the contrary, for unidentified go out the picture of personage, this kind of picture also can gather as scenery picture by above-mentioned terminal.
Certainly, above-mentioned character trait data except described above can be except the keyword relevant to the character trait of user, picture, can also be the personalized configuration data of user.When above-mentioned character trait data are the personalized configuration data relevant to the character trait of user, this personalized configuration data can be the brightness data, tone data etc. of user configured system desktop, application interface.Such as, user, in the process using above-mentioned terminal, by the personalized configuration data such as brightness data, tone data of user configured system desktop, application interface, can reflect the color preference of user usually from the side, and current personality and emotion.Such as, when the brightness of user configured system desktop, application interface and tone are partially dark, may show that this user is more sedate, melancholy or current mood is not good.On the contrary, when the brightness of user configured system desktop, application interface and tone entirety more lucid and more lively, may show that this user is more optimistic or current mood is pretty good.
Above-mentioned terminal, when gathering the above-mentioned personalized configuration data relevant to the character trait of user, directly can read corresponding configuration data from system data.
In step 202-a, judge whether the character trait data collected are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
In step 203-a, when the character trait data collected are described default character trait data, obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
In the present embodiment, for the character trait data collected, because character trait data are the user data relevant to the character trait of user, therefore terminal can to the character trait data analysis collected to obtain the character trait of user.
Wherein, terminal is when obtaining the character trait of user to the character trait analysis collected, and dissimilar character trait data still can adopt different analytical approachs respectively.
The character trait data that terminal collects can be divided into two classes usually, and a class is can the data of the direct character trait of characterizing consumer, and another kind of is can the data of the character trait of characterizing consumer indirectly.
For can the data of the direct character trait of characterizing consumer, terminal need to carry out deep analysis, just can obtain the character trait of user by reading these data very clearly.Such as, can the data of the direct character trait of characterizing consumer can be the keyword relevant to the character trait of user or picture, terminal need to analyse in depth keyword or picture, just can obtain the character trait of user by simple coupling.Can the data of the character trait of characterizing consumer indirectly can be the personalized configuration information relevant to the character trait of user, after terminal needs to analyse in depth this personalized configuration information, the character trait of user can be obtained.
In the present embodiment, for can the character trait data of the direct character trait of characterizing consumer, such as relevant to the character trait of user keyword or picture, terminal is when analyzing for this keyword or picture, can by by this keyword or picture, with can the keyword of characterizing consumer character trait or picture carrying out mating the character trait obtaining user of presetting in system.
For the keyword relevant to the character trait of user collected, terminal can preset some keywords relevant to the character trait of user for mating in systems in which, wherein each keyword preset has been pre-arranged corresponding character trait attribute, when the keyword relevant to the character trait of user collected and the Keywords matching preset, then can obtain the character trait attribute corresponding to this keyword, as the character trait of user.
Wherein, in order to ensure precision of analysis, when the keyword relevant to the character trait of user that will collect and the Keywords matching preset, the all right statistics gatherer of terminal is to the number of times of this keyword, and judge whether the number of times collecting this keyword reaches predetermined threshold value, if reach predetermined threshold value, then obtain and the character trait attribute corresponding to the keyword matched, as the character trait of user.
Such as, terminal can arrange the character trait attribute of " melancholy ", a series of keyword can expressing user's " melancholy " character trait can be associated under this attribute, during any one keyword associated under the character trait attribute of the keyword hit this " melancholy " collected, then can be the character trait of this user by the character trait setup of attribute of this " melancholy ".In addition, when the number of times that terminal collects this keyword is little, such as only once, may can not react the character trait of user's " melancholy " in this case really, when the number of times collecting this keyword is more, more can react the character trait of user's " melancholy " strictly according to the facts, therefore in order to ensure precision of analysis, the all right statistics gatherer of terminal is to the number of times of this keyword, and the threshold value of a times of collection is set, such as 10 times, when the number of times that terminal collects this keyword reaches this threshold value, obtain the character trait attribute with " melancholy " corresponding to the keyword matched again, as the character trait of user.
For the picture relevant to the character trait of user collected, what such as collect carries the picture presetting expression or preset posture, terminal can be preset some and preset expression or the picture of preset posture for carrying of mating, wherein each picture preset all has been pre-arranged corresponding character trait attribute, when the picture relevant to the character trait of user collected and the picture match preset, then can obtain the character trait attribute corresponding to this picture, as the character trait of user.
Wherein, in order to ensure precision of analysis, when the picture relevant to the character trait of user that will collect and the picture match preset, the all right statistics gatherer of terminal is to the number of times of picture, and judge whether the number of times collecting picture reaches predetermined threshold value, if reach predetermined threshold value, then obtain and the character trait attribute corresponding to the default picture matched, as the character trait of user.
Such as, terminal can arrange the character trait attribute of " optimistic ", and the character trait attribute being somebody's turn to do " optimistic " can be defined as the character trait attribute of the picture carrying smiling face by terminal.When terminal collects the picture carrying smiling face, then can be the character trait of this user by the character trait setup of attribute of this " optimistic ".In addition, when terminal collect this number of times carrying the picture of smiling face little time, such as only once, may can not react the character trait of user's " optimistic " in this case really, when the number of times collecting the picture carrying smiling face is more, more can react the character trait of user strictly according to the facts, therefore in order to ensure precision of analysis, terminal can also carry the number of times of the picture of smiling face by statistics gatherer to this, and the threshold value of a times of collection is set, such as 10 times, when terminal collect this picture number of times carrying smiling face reach this threshold value time, obtain the character trait attribute of " optimistic " corresponding to the picture carrying smiling face with this again, as the character trait of user.
Wherein, step 202-a and step 203-b can be replaced by step 202-b and 203-b.
In step 202-b, judge whether the described character trait data collected are default character trait data; When the described character trait data collected are default character trait data, the described character trait data collected are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
In step 203-b, when arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching collected, then obtain the character trait attribute corresponding with this numerical intervals character trait as described user.
In the present embodiment, for can the character trait data of the character trait of characterizing consumer indirectly, such as relevant to the character trait of user personalized configuration data, terminal is when analysing in depth for this personalized configuration data, and the numerical intervals that this personalized configuration data can be preset by terminal in systems in which carries out mating the character trait obtaining user.
For the personalized configuration information relevant to the character trait of user collected, such as user configured system desktop, the brightness data of application interface, tone data, terminal can preset some numerical intervals for mating in systems in which, wherein each numerical intervals has been pre-arranged corresponding character trait attribute, terminal is when analyzing for this personalized configuration information collected, first can judge whether this personalized configuration information collected is default personalized configuration information, if this personalized configuration information collected is default personalized configuration information, then this personalized configuration information collected can be mated in the numerical intervals preset, when the personalized configuration information relevant to the character trait of user collected mates any one numerical intervals in the numerical intervals preset, then can obtain the character trait attribute corresponding to this data interval, as the character trait of user.
Such as, terminal using the brightness data of user configured system desktop or tone data as the personalized configuration information preset, can also arrange multiple numerical intervals simultaneously, and arranges a corresponding character trait attribute for each numerical intervals; Such as this numerical intervals current is for weighing brightness and the tone of system desktop, the personality of user more " melancholy " possible brightness of system desktop of configuring more low key tone is more single, the personality of user more " optimistic " system desktop of configuring may brighter display tone more lucid and more lively, therefore when arranging character trait attribute for numerical intervals, numerical intervals larger for the numerical value of correspondence can be set to the character trait attribute of " optimistic ", numerical intervals less for the numerical value of correspondence be set to the character trait attribute of " melancholy ".When analyzing, first terminal can judge that whether this personalized configuration information of collecting is brightness data or the tone data of system desktop, if, the brightness data of the system desktop collected or tone data can be continued to mate in the numerical intervals preset, if the brightness data of the system desktop collected or the numerical intervals of tone data fall into arbitrary numerical intervals, so terminal can obtain the character trait of character trait attribute as user of this numerical intervals.
Certainly, in actual applications, can the character trait data of the character trait of characterizing consumer indirectly for these, except the numerical intervals that can preset in systems in which described above carries out mating the character trait obtaining user, also can by the data collected be carried out calculating study to realize in the mathematical model built in advance as input data when realizing.
Such as, can based on the existing psychology achievement that can disclose relevance between specific user data and the character trait of user, be built into corresponding mathematical model, then after the data collected being carried out quantification treatment, be input in mathematical model as input data and carry out calculating study, analyze corresponding user characteristics.Wherein, the building mode of described mathematical model is not particularly limited in the present embodiment, such as can build corresponding mathematical model based on specific data mining algorithm or multilayer neural network.
In step 204, the character trait of the described user got is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
In step 205, when the character trait of the described user got mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
In the present embodiment, when terminal is based on the user characteristic data collected, after getting the character trait of this user, terminal can according to the character trait got for this user arranges corresponding system theme.Wherein, the content of system theme can carry out personalized customization; Such as, system theme can comprise the content such as the theme color of system theme or the control style of system theme usually, and when carrying out personalized customization for system theme, theme color and the control style of different system theme can be different.
When realizing, terminal can preset a theme storehouse in this locality, can comprise some subject classifications in this theme storehouse, and wherein terminal can be that each subject classification arranges different character trait attributes respectively according to the style of each class theme and color preference.Such as, theme in main body storehouse can be divided into " melancholy system ", " optimistic system " and " sedate system " three classes, for the theme of " melancholy system ", some themes that tone is more depressed can be comprised, for the theme of " optimistic system ", some themes that tone is more lucid and more lively can be comprised, for the theme of " sedate system ", the more uniform some themes of tone collocation can be comprised.The character trait of the user got can be mated by terminal in main body storehouse, when the character trait attributes match of the character trait of this user and any one subject classification, then can be this user's automatic capture system theme from this subject classification.In this way, the system that can not only realize carries out theme setting automatically, according to the character trait of user for this user arranges optimal system theme, thus lifting user can also be had very important significance to the perception of theme and Experience Degree.
In the present embodiment, the character trait data of the collection user that terminal can be real-time on backstage, along with increasing of the character trait data collected, the perception user change in character that terminal can be real-time.After terminal is based on the character trait data analysis collected, when the character trait getting this user changes, character trait after terminal can also change according to user is again for this user arranges system theme, the system theme be provided with is upgraded timely, thus make a kind of character trait along with user of the setting up procedure of whole system theme maintenance change and carry out the mechanism of dynamic change, thus Consumer's Experience can be promoted.
In the embodiment above, by gathering the character trait data of user, described character trait data comprise the user data relevant to the character trait of user, and to the described character trait data analysis collected to obtain the character trait of described user, then the character trait based on the described user got is that described user arranges corresponding system theme, thus achieve and based on the character trait of user for automatically for user arranges system theme, lifting Consumer's Experience can be contributed to.
Corresponding with aforementioned theme setting method embodiment, the disclosure additionally provides a kind of embodiment of theme setting device.
Fig. 3 is the schematic block diagram of a kind of theme setting device according to an exemplary embodiment.
As shown in Figure 3, a kind of theme setting device 300 according to an exemplary embodiment, comprising: acquisition module 301, acquisition module 302 and arrange module 303; Wherein:
Described acquisition module 301 is configured to, and gathers the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
Described acquisition module 302 is configured to, and the described character trait data analysis collected described acquisition module 301 is to obtain the character trait of described user;
The described module 303 that arranges is configured to, and the character trait of the described user got based on described acquisition module 302 is that described user arranges corresponding system theme.
In the embodiment above, by gathering the character trait data of user, described character trait data comprise the user data relevant to the character trait of user, and to the described character trait data analysis collected to obtain the character trait of described user, then the character trait based on the described user got is that described user arranges corresponding system theme, thus achieve and based on the character trait of user for automatically for user arranges system theme, lifting Consumer's Experience can be contributed to.
Refer to Fig. 4, Fig. 4 is the block diagram of the another kind of device of the disclosure according to an exemplary embodiment, this embodiment is on aforementioned basis embodiment illustrated in fig. 3, and described acquisition module 302 can comprise the first judgement submodule 302A and first and obtain submodule 302B; Wherein:
Described first judges that submodule 302A is configured to, and judges whether the character trait data that described acquisition module collects are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
Described first obtains submodule 302B is configured to, when the character trait data that described acquisition module collects are described default character trait data, obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
Refer to Fig. 5, Fig. 5 is the block diagram of the another kind of device of the disclosure according to an exemplary embodiment, and this embodiment is on aforementioned basis embodiment illustrated in fig. 4, and described acquisition module 302 can also comprise statistics submodule 302C and second and judge submodule 302D; Wherein:
Described statistics submodule 302C is configured to, and adds up the number of times that described acquisition module 301 collects described character trait data;
Described second judges that submodule 302D is configured to, and judges whether the number of times that described acquisition module 301 collects described character trait data reaches predetermined threshold value; When the number of times that described acquisition module 301 collects described character trait data reaches predetermined threshold value, then obtain submodule 302B by described first and obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
It should be noted that, the statistics submodule 302C shown in device embodiment and second shown in Fig. 5 judges that the structure of submodule 302D also can be included in the device embodiment of earlier figures 3, does not limit this disclosure.
Refer to Fig. 6, Fig. 6 is the block diagram of the another kind of device of the disclosure according to an exemplary embodiment, this embodiment is on aforementioned basis embodiment illustrated in fig. 3, and described acquisition module 302 can comprise the 3rd and judge that submodule 302E, the first matched sub-block 302F and second obtain submodule 302G; Wherein:
Described 3rd judges that submodule 302E is configured to, and judges whether the described character trait data that described acquisition module 301 collects are default character trait data;
Described first matched sub-block 302F is configured to, when the described character trait data that described acquisition module 301 collects are default character trait data, the described character trait data collected by described acquisition module 301 are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
Described second obtains submodule 302G is configured to, during arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching that described acquisition module 301 collects, then obtain the character trait attribute corresponding with this numerical intervals character trait as described user.
It should be noted that, shown in device embodiment shown in Fig. 6 the 3rd judges that submodule 302E, the first matched sub-block 302F and the second structure obtaining submodule 302G also can be included in the device embodiment of earlier figures 4-5, does not limit this disclosure.
Refer to Fig. 7, Fig. 7 is the block diagram of the another kind of device of the disclosure according to an exemplary embodiment, and this embodiment is on aforementioned basis embodiment illustrated in fig. 3, and the described module 303 that arranges can comprise the second matched sub-block 303A and arrange submodule 303B; Wherein:
Described second matched sub-block 303A is configured to, and the character trait of the described user got by described acquisition module is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
The described submodule 303B that arranges is configured to, when the character trait of the described user that described acquisition module gets mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
It should be noted that, the second matched sub-block 303A shown in device embodiment shown in Fig. 7 also can be included in the device embodiment of earlier figures 4-6 with the structure arranging submodule 303B, does not limit this disclosure.
Refer to Fig. 8, Fig. 8 is the block diagram of the another kind of device of the disclosure according to an exemplary embodiment, and this embodiment is on aforementioned basis embodiment illustrated in fig. 3, and described device 300 can also comprise update module 304; Wherein:
Described update module 304 is configured to, when after the described character trait data analysis that described acquisition module 302 collects described acquisition module 301, when the character trait getting described user changes, the system theme of character trait to described user based on the described user after changing upgrades.
It should be noted that, the structure of the update module 304 shown in device embodiment shown in Fig. 8 also can be included in the device embodiment of earlier figures 4-7, does not limit this disclosure.
In above each embodiment, described character trait data comprise the keyword relevant to the character trait of user, picture and personalized configuration data;
Wherein, relevant to the character trait of user picture comprises carrying to preset expresses one's feelings or personage's picture of preset posture or scenery picture; The personalized configuration data relevant to the character trait of user comprises the personalized configuration data by the brightness data of user configured system desktop, application interface, tone data or other type.
In device, the implementation procedure of the function and efficacy of modules specifically refers to the implementation procedure of corresponding step in method, does not repeat them here.
For device embodiment, because it corresponds essentially to embodiment of the method, so relevant part illustrates see the part of embodiment of the method.Device embodiment described above is only schematic, the wherein said module illustrated as separating component can or may not be physically separates, parts as module display can be or may not be physical module, namely can be positioned at a place, or also can be distributed on multiple mixed-media network modules mixed-media.Some or all of module wherein can be selected according to the actual needs to realize the object of disclosure scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
Accordingly, the disclosure also provides a kind of theme setting device, and described device comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
Accordingly, the disclosure also provides a kind of terminal, described terminal includes storer, and one or more than one program, one of them or more than one program are stored in storer, and are configured to perform described more than one or one routine package containing the instruction for carrying out following operation by more than one or one processor:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
Fig. 9 is the structural representation of a kind of theme setting device according to an exemplary embodiment.
As shown in Figure 9, a kind of theme setting device 900 according to an exemplary embodiment, this device 900 can be mobile phone, smart machine, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, the terminals such as personal digital assistant.
With reference to Fig. 9, device 900 can comprise following one or more assembly: processing components 901, storer 902, power supply module 903, multimedia groupware 904, audio-frequency assembly 905, the interface 906 of I/O (I/O), sensor module 907, and communications component 908.
The integrated operation of the usual control device 900 of processing components 901, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 901 can comprise one or more processor 909 to perform instruction, with all or part of step of the method completed.In addition, processing components 901 can comprise one or more module, and what be convenient between processing components 901 and other assemblies is mutual.Such as, processing element 901 can comprise multi-media module, mutual with what facilitate between multimedia groupware 904 and processing components 901.
Storer 902 is configured to store various types of data to be supported in the operation of device 900.The example of these data comprises for any application program of operation on device 900 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 902 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 903 is device 900 provide electric power.Power supply module 903 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 900 and be associated.
Multimedia groupware 904 is included in the screen providing an output interface between described device 900 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 904 comprises a front-facing camera and/or post-positioned pick-up head.When device 900 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 905 is configured to export and/or input audio signal.Such as, audio-frequency assembly 905 comprises a microphone (MIC), and when device 900 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 902 further or be sent via communications component 908.In certain embodiments, audio-frequency assembly 905 also comprises a loudspeaker, for output audio signal.
I/O interface 902 is for providing interface between processing components 901 and peripheral interface module, and peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 907 comprises one or more sensor, for providing the state estimation of various aspects for device 900.Such as, sensor module 907 can detect the opening/closing state of device 900, the relative positioning of assembly, such as described assembly is display and the keypad of device 900, the position of all right pick-up unit 900 of sensor module 907 or device 900 1 assemblies changes, the presence or absence that user contacts with device 900, the temperature variation of device 900 orientation or acceleration/deceleration and device 900.Sensor module 907 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 907 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 907 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 908 is configured to the communication being convenient to wired or wireless mode between device 900 and other equipment.Device 900 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 908 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 908 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 900 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 902 of instruction, above-mentioned instruction can perform said method by the processor 909 of device 900.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Wherein, when the instruction in described storage medium is performed by the processor of terminal, make terminal can perform a kind of theme setting method, comprising:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (15)
1. a theme setting method, is characterized in that, described method comprises:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
2. the method for claim 1, is characterized in that, the described described character trait data analysis to collecting comprises with the character trait obtaining described user:
Judge whether the character trait data collected are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
When the character trait data collected are described default character trait data, obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
3. method as claimed in claim 2, is characterized in that, before the character trait of the described acquisition character trait attribute corresponding with described default character trait data as described user, described method also comprises:
Statistics gatherer is to the number of times of described character trait data;
Judge whether the number of times collecting described character trait data reaches predetermined threshold value;
When the number of times collecting described character trait data reaches predetermined threshold value, then obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
4. the method for claim 1, is characterized in that, the described described character trait data analysis to collecting comprises with the character trait obtaining described user:
Judge whether the described character trait data collected are default character trait data;
When the described character trait data collected are default character trait data, the described character trait data collected are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
When arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching collected, then obtain the character trait attribute corresponding with this numerical intervals character trait as described user.
5. the method for claim 1, is characterized in that, the character trait of the described described user based on getting is that described user arranges corresponding theme and comprises:
The character trait of the described user got is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
When the character trait of the described user got mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
6. the method for claim 1, is characterized in that, described method also comprises:
After to the described character trait data analysis collected, when the character trait getting described user changes, the system theme of character trait to described user based on the described user after changing upgrades.
7. the method for claim 1, is characterized in that, described character trait data comprise the keyword relevant to the character trait of user, picture and personalized configuration data;
Wherein, relevant to the character trait of user picture comprises carrying to preset expresses one's feelings or personage's picture of preset posture or scenery picture; The personalized configuration data relevant to the character trait of user comprises the personalized configuration data by the brightness data of user configured system desktop, application interface, tone data or other type.
8. a theme setting device, is characterized in that, described device comprises:
Acquisition module, is configured to the character trait data gathering user; Described character trait data comprise the user data relevant to the character trait of user;
Acquisition module, the described character trait data analysis being configured to collect described acquisition module is to obtain the character trait of described user;
Arrange module, the character trait being configured to the described user got based on described acquisition module is that described user arranges corresponding system theme.
9. device as claimed in claim 8, it is characterized in that, described acquisition module comprises:
First judges submodule, is configured to judge whether the character trait data that described acquisition module collects are default character trait data; Wherein, described default character trait data have been pre-arranged corresponding character trait attribute;
First obtains submodule, when the character trait data being configured to collect at described acquisition module are described default character trait data, obtains the character trait of the character trait attribute corresponding with described default character trait data as described user.
10. device as claimed in claim 9, it is characterized in that, described acquisition module also comprises:
Statistics submodule, is configured to add up the number of times that described acquisition module collects described character trait data;
Second judges submodule, is configured to judge whether the number of times that described acquisition module collects described character trait data reaches predetermined threshold value; When the number of times that described acquisition module collects described character trait data reaches predetermined threshold value, then obtain submodule by described first and obtain the character trait of the character trait attribute corresponding with described default character trait data as described user.
11. devices as claimed in claim 8, it is characterized in that, described acquisition module comprises:
3rd judges submodule, is configured to judge whether the described character trait data that described acquisition module collects are default character trait data;
First matched sub-block, when the described character trait data being configured to collect at described acquisition module are default character trait data, the described character trait data collected by described acquisition module are mated in the numerical intervals preset; Wherein, described default numerical intervals has been pre-arranged corresponding character trait attribute respectively;
Second obtains submodule, when being configured to the arbitrary numerical intervals in the numerical intervals preset described in the described character trait Data Matching that described acquisition module collects, then obtain the character trait of the character trait attribute corresponding with this numerical intervals as described user.
12. devices as claimed in claim 8, it is characterized in that, the described module that arranges comprises:
Second matched sub-block, the character trait being configured to the described user got by described acquisition module is mated in theme storehouse; Wherein said theme storehouse comprises some subject classifications; User's character trait attribute that described some subject classifications are corresponding different respectively;
Submodule is set, when the character trait being configured to the described user got at described acquisition module mates the user's character trait attribute in described theme storehouse corresponding to arbitrary subject classification, system theme is set based on the described user of theming as in this subject classification.
13. devices as claimed in claim 8, it is characterized in that, described device also comprises:
Update module, after being configured to the described character trait data analysis described acquisition module collected when described acquisition module, when the character trait getting described user changes, the system theme of character trait to described user based on the described user after changing upgrades.
14. devices as claimed in claim 8, it is characterized in that, described character trait data comprise the keyword relevant to the character trait of user, picture and personalized configuration data;
Wherein, relevant to the character trait of user picture comprises carrying to preset expresses one's feelings or personage's picture of preset posture or scenery picture; The personalized configuration data relevant to the character trait of user comprises the personalized configuration data by the brightness data of user configured system desktop, application interface, tone data or other type.
15. 1 kinds of theme setting devices, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Gather the character trait data of user; Described character trait data comprise the user data relevant to the character trait of user;
To the described character trait data analysis collected to obtain the character trait of described user;
Character trait based on the described user got is that described user arranges corresponding system theme.
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CN107077702A (en) * | 2016-11-26 | 2017-08-18 | 深圳市大疆创新科技有限公司 | Control method, control device and electronic installation |
CN107340865A (en) * | 2017-06-29 | 2017-11-10 | 北京光年无限科技有限公司 | Multi-modal virtual robot exchange method and system |
CN109064416A (en) * | 2018-07-10 | 2018-12-21 | Oppo广东移动通信有限公司 | Image processing method, device, storage medium and electronic equipment |
CN109491739A (en) * | 2018-10-30 | 2019-03-19 | 北京字节跳动网络技术有限公司 | A kind of theme color is dynamically determined method, apparatus, electronic equipment and storage medium |
CN111914111A (en) * | 2019-05-08 | 2020-11-10 | 阿里巴巴集团控股有限公司 | Mask image determining method and device based on sound and computer storage medium |
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CN103257796A (en) * | 2013-05-15 | 2013-08-21 | 华为终端有限公司 | Mobile communication equipment and switching method of theme colors of same |
CN103546634A (en) * | 2013-10-10 | 2014-01-29 | 深圳市欧珀通信软件有限公司 | Handhold equipment theme control method and handhold equipment theme control device |
WO2015158086A1 (en) * | 2014-04-17 | 2015-10-22 | 中兴通讯股份有限公司 | Mobile terminal and method of processing loadable content |
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CN103257796A (en) * | 2013-05-15 | 2013-08-21 | 华为终端有限公司 | Mobile communication equipment and switching method of theme colors of same |
CN103546634A (en) * | 2013-10-10 | 2014-01-29 | 深圳市欧珀通信软件有限公司 | Handhold equipment theme control method and handhold equipment theme control device |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN107077702A (en) * | 2016-11-26 | 2017-08-18 | 深圳市大疆创新科技有限公司 | Control method, control device and electronic installation |
WO2018094710A1 (en) * | 2016-11-26 | 2018-05-31 | 深圳市大疆创新科技有限公司 | Control method, control device, and electronic device |
CN107340865A (en) * | 2017-06-29 | 2017-11-10 | 北京光年无限科技有限公司 | Multi-modal virtual robot exchange method and system |
CN109064416A (en) * | 2018-07-10 | 2018-12-21 | Oppo广东移动通信有限公司 | Image processing method, device, storage medium and electronic equipment |
CN109491739A (en) * | 2018-10-30 | 2019-03-19 | 北京字节跳动网络技术有限公司 | A kind of theme color is dynamically determined method, apparatus, electronic equipment and storage medium |
CN109491739B (en) * | 2018-10-30 | 2023-04-07 | 北京字节跳动网络技术有限公司 | Theme color dynamic determination method and device, electronic equipment and storage medium |
CN111914111A (en) * | 2019-05-08 | 2020-11-10 | 阿里巴巴集团控股有限公司 | Mask image determining method and device based on sound and computer storage medium |
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