CN102760077A - Method and device for self-adaptive application scene mode on basis of human face recognition - Google Patents
Method and device for self-adaptive application scene mode on basis of human face recognition Download PDFInfo
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Abstract
The invention provides a method and a device for a self-adaptive application scene mode on basis of human face recognition. The method comprises the steps as follows: (a) a face image of a user is shot; (b) the shot face image of the user is processed through human face recognition so as to evaluate the age of the user; and (c) based on configuration files of the scene mode, the scene mode corresponding to the evaluated age of the user is applied in a self-adaptive manner.
Description
Technical field
The present invention relates to a kind of portable electric appts; More particularly; Relate to a kind of in portable electric appts based on the method for recognition of face self-adaptation application scenario pattern and the portable electric appts of using this method, thereby do not needing under the manually operated situation of user automatically, accomplishing intelligently the allocation optimum that is suitable for the user.
Background technology
Along with the development of technology, portable electric appts (for example, mobile phone, IPAD etc.) is integrated increasing functional module on hardware, on software, satisfies the many all kinds of demands of People more and more.Yet; Because the user of all ages and classes section uses the custom of portable electric appts to have nothing in common with each other; Therefore can imagine,, can find that colorful interface seems to feel bad especially when an eyesight is not good old man when removing to use a situation of selling well mobile phone; And when an other child uses, complicated loaded down with trivial details application interface and flow process will make him understand and to understand.For this reason, current portable electric appts can provide multiple contextual model, for example, is suitable for child's pattern that child uses, and is suitable for the general modfel that the adult uses, and is suitable for old pattern that the elderly uses etc.
Yet the difference of existing portable electric appts between can not the Intelligent Recognition user can not be adjusted the contextual model that is suitable for the user most automatically.Therefore, need a kind of like this portable electric appts, it can discern different users automatically, and automatically adjusts contextual model and parameter thereof, thus make all users can both be visible, listen clearly, use easily.
Summary of the invention
To partly illustrate other aspect of the present invention and/or advantage in the following description, through describing, it can become clearer, perhaps can understand through embodiment of the present invention.
According to an aspect of the present invention, provide a kind of in portable electric appts the method based on recognition of face self-adaptation application scenario pattern, said method comprising the steps of: (a) take user's face image; (b) through user's face image of taking is carried out recognition of face with the estimating user age; (c) based on the configuration file of contextual model, use the contextual model that adapts with the age of user of estimating adaptively.
In addition, the content of said configuration file can comprise interface layout, interface number of links, interface linking relationship, brightness, contrast, theme, font, font size, resolution, the tinkle of bells kind, the tinkle of bells size of portable electric appts, the configuration of at least one parameter in the keypad tone.
In addition, when detecting portable electric appts start or predetermined key and be pressed, but execution in step (a).
In addition; Portable electric appts can carry out recognition of face with the estimating user age to user's face image of taking in this locality; Perhaps portable electric appts can upload to the webserver with user's face image of taking, by the webserver user's face image of taking is carried out recognition of face with the estimating user age.
In addition, when detecting can't be connected to the webserver time, portable electric appts can carry out recognition of face with the estimating user age to user's face image of taking in this locality.
In addition, said configuration file can be stored in the portable electric appts and/or the webserver.In addition, step (c) can comprise: based on the configuration file of the local storage of portable electric appts, the configuration file of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.
In addition, if said configuration file stores in the webserver, then when the user adjusts in the said configuration file at least one parameter, can upload to the webserver with adjusted said at least one parameter.In addition; When the webserver detect any the parameter adjustment in the configuration file be identical number of users greater than predetermined threshold, or the number of users of the configuration file of the contextual model that provides of said number of users and the reception webserver between ratio during greater than predetermined threshold, the webserver can use adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.
In addition, said method also can comprise: the result that storage is carried out recognition of face to user's face image of taking.In addition; Step (b) also can comprise: the result of the last user's of the result of active user's recognition of face and storage recognition of face is compared; If result relatively indicates the active user different with last user, then estimate active user's age, thus execution in step (c).
In addition, said method also can comprise: according to the extraneous light sensing result, adjust the configuration file of the contextual model of using automatically.
According to a further aspect in the invention, provide a kind of can be based on the portable electric appts of recognition of face self-adaptation application scenario pattern, said portable electric appts comprises: image unit, take user's face image; Face identification unit is through carrying out recognition of face with the estimating user age to user's face image of taking; The contextual model applying unit based on the configuration file of contextual model, is used the contextual model that adapts with the age of user of estimating adaptively.
In addition, the content of said configuration file can comprise interface layout, interface number of links, interface linking relationship, brightness, contrast, theme, font, font size, resolution, the tinkle of bells kind, the tinkle of bells size of portable electric appts, the configuration of at least one parameter in the keypad tone.
In addition, when portable electric appts start or predetermined key were pressed, image unit can be taken user's face image.
In addition; Face identification unit can be carried out recognition of face with the estimating user age to user's face image of taking in this locality; Perhaps can user's face image of taking be uploaded to the webserver, user's face image of taking carried out recognition of face with the estimating user age by the webserver.
In addition, when detecting can't be connected to the webserver time, face identification unit can be carried out recognition of face with the estimating user age to user's face image of taking in this locality.
In addition, said configuration file can be stored in the portable electric appts and/or the webserver.In addition, the contextual model applying unit can be based on the configuration file of this locality storage, and the configuration file of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.
In addition, if said configuration file stores in the webserver, then when the user adjusted in the said configuration file at least one parameter, the contextual model applying unit can upload to the webserver with adjusted said at least one parameter.In addition; When the webserver detect any the parameter adjustment in the configuration file be identical number of users greater than predetermined threshold, or the number of users of the configuration file of the contextual model that provides of said number of users and the reception webserver between ratio during greater than predetermined threshold, the webserver can use adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.
In addition, face identification unit can be stored the result that user's face image of taking is carried out recognition of face.In addition; Face identification unit can compare the result of the last user's of the result of active user's recognition of face and storage recognition of face; If result relatively indicates the active user different with last user; Then face identification unit can be estimated active user's age, thereby the contextual model applying unit is used the contextual model that adapts with the age of user of estimating adaptively based on the configuration file of contextual model.
In addition, said portable electric appts also can comprise: light sensor, sensing extraneous light.In addition, the contextual model applying unit can be adjusted the configuration file of the contextual model of using automatically according to the sensing result of light sensor.
Description of drawings
Through the description of embodiment being carried out below in conjunction with accompanying drawing, these and/or other aspect of the present invention and advantage will become clear and be easier to and understand, wherein:
Fig. 1 is the synoptic diagram based on the portable electric appts of the function of recognition of face self-adaptation application scenario pattern that has that illustrates according to the embodiment of the invention;
Fig. 2 illustrates the block diagram according to the contextual model self-adaptation adjustment unit of the embodiment of the invention;
Fig. 3 illustrate according to the embodiment of the invention in portable electric appts based on the process flow diagram of the method for recognition of face self-adaptation application scenario pattern.
Embodiment
Now the embodiment of the invention is carried out detailed description, its example shown in the accompanying drawings, wherein, identical label is represented same parts all the time.Below through embodiment being described to explain the present invention with reference to accompanying drawing.
The contextual model of the portable electric appts that relates among the present invention is simply described here.Contextual model is meant in the portable electric appts a whole set of answer-mode of selecting according to different scenes or user.For example, be applied to mode standard, conference model, outdoor pattern, silent mode of different scenes etc., be applied to child's pattern, general modfel, old man's pattern of different user etc.Every kind of contextual model has the configuration file that portable electric appts is provided with.According to the present invention; The content of the configuration file of contextual model comprises; But be not limited to the configuration of at least one parameter in the interface layout of portable electric appts, interface number of links, interface linking relationship, brightness, contrast, theme, font, font size, resolution, the tinkle of bells kind, the tinkle of bells size, the keypad tone.For different contextual models, in the above-mentioned configuration file one or multinomial parameter will be different.For example, for old pattern, need configuration file be adjusted into low resolution, big font size, black and white theme, big the tinkle of bells, keypad tone etc. is arranged; For child user, functional sequence will be oversimplified, and it is simple therefore need configuration file to be adjusted into interface layout, and the interface number of links is few.
Fig. 1 is the synoptic diagram based on the portable electric appts of the function of recognition of face self-adaptation application scenario pattern that has that illustrates according to the embodiment of the invention.With reference to Fig. 1, said portable electric appts comprises controller 100, display unit 102, input block 104, storer 106, contextual model self-adaptation adjustment unit 108, communication unit 112, antenna 114, codec 116, microphone 118 and loudspeaker 120.
Whole operations of controller 100 control portable electric appts.For example, controller 100 is handled also control communication (for example, speech and data communication), the startup of control contextual model self-adaptation adjustment unit 108 and close etc.
The status information (or designator), numeral and character, motion picture or the still frame etc. that produce during display unit 102 display operations.Especially, display unit 102 shows the interface via the contextual model of contextual model self-adaptation adjustment unit 108 adjustment.Selectively, display unit 102 can be configured to touch-screen.
Contextual model self-adaptation adjustment unit 108 is gathered active user's face image data; Face image data to collecting carries out analyzing and processing; Estimating active user's age, dispatch according to user's age, to use the contextual model that adapts with the age of user of estimating adaptively.According to the present invention, contextual model self-adaptation adjustment unit 108 can comprise image unit 201, face identification unit 202 and contextual model applying unit 203.To be described in more detail contextual model self-adaptation adjustment unit 108 with reference to Fig. 2 and Fig. 3 after a while.
In receiving operation, communication unit 112 will be changed down through the RF signal that antenna 114 receives, and the RF signal that receives is carried out channel-decoding; In transmit operation, 112 pairs of communication units carry out chnnel coding with the data that are sent out, with the concurrent data converted of serving of conversion on the signal that carries data.
Codec 116 is connected to controller 100, and microphone 118 is connected to codec 116 with loudspeaker 120.Codec 116, microphone 118 and loudspeaker 120 are as the audio frequency input/output module of voice communication.
Fig. 2 illustrates the block diagram according to the contextual model self-adaptation adjustment unit of the embodiment of the invention.
With reference to Fig. 2, contextual model self-adaptation adjustment unit 108 comprises: image unit 201 is used to take user's face image; Face identification unit 202 is used for through user's face image of taking is carried out the age of recognition of face with estimating user; Contextual model applying unit 203 is used for the configuration file based on contextual model, uses the contextual model that adapts with the age of user of estimating adaptively.
Specifically, image unit 201 can be arranged on the front of portable electric appts, perhaps any position.Image unit 201 can comprise that reception also will convert the light signal of the object that is taken into the charge-coupled device (CCD) or the complementary metal oxide semiconductor (CMOS) (CMOS) of electric signal through the light signal of camera lens input.According to the embodiment of the invention, when the user presses predetermined key, thereby when starting contextual model self-adaptation adjustment function, image unit 201 is taken user's face images.Selectively, also can image unit 201 be set to automatic shooting user face image when starting shooting.Simultaneously; In order to make the user's face image data correct and effective that collects; Image unit 201 can continue to take user's face image a period of time, therefrom selects optimum face image data again, and the face image data of optimum is sent to face identification unit 202.In addition, owing to receive factor affecting such as illumination, neighbourhood noise, distortion may take place in the face image data that image unit 201 collects, so image unit 201 preferably adopts high-precision night vision cam, so that reduce the influence that data are gathered.
According to the embodiment of the invention; No matter be user's face image of taking to be carried out recognition of face through the webserver; Still self user's face image of taking is carried out recognition of face through face identification unit 202; Face identification unit 202 all will be stored result's (for example, the result with recognition of face is stored in the storer 106) of the current recognition of face of carrying out.Face identification unit 202 can compare the result of the last user's of the result of active user's recognition of face and storage recognition of face; If result relatively indicates the active user identical with last user (promptly; Same user is using portable electric appts); Then contextual model applying unit 203 does not change the contextual model of current application; If result relatively indicates the active user different with last user, then face identification unit 202 is estimated active user's age, so that contextual model applying unit 203 is correspondingly operated; Thereby the configuration file of the contextual model of the configuration file of the contextual model of storing in the server Network Based or local storage is used the contextual model that adapts with the age of user of estimating adaptively.
According to the embodiment of the invention, the face recognition algorithms that the face identification unit 202 or the webserver use mainly comprises following two kinds.
The first, the process user facial image is to extract initial characteristic data; The subclass of selecting said initial characteristic data is as low dimensional feature data, and wherein, the dimension of said low dimensional feature data is less than the dimension of said initial characteristic data; To the constituent analysis of being correlated with of said low dimensional feature data, to obtain training data; According to the training data that is obtained, training is used for the regretional analysis parameter of estimation of Age; And utilize said regretional analysis parameter to come the age of estimating user.
The second, based on the age recognition methods of EHMM (built-in type hidden Markov model).At first, through analysis, confirm the nonlinear relationship between the variation of age and people's face key feature, and set up nonlinear model based on this relation to great amount of samples; Utilize PARI (partial ageingratio image, local ageing ratio chart picture) to estimate the texture of aging people's face then; At last, utilize the characteristic of from the image of rebuilding, extracting to train EHMM to be used for recognition of face, thus the age of estimating user.
Behind the age of user that receives face identification unit 202 estimations; The configuration file of the contextual model of contextual model applying unit 203 local storages; The configuration file of the contextual model of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.For example, contextual model applying unit 203 can be confirmed as child's pattern with 7 years old-18 years old age bracket, and 18 years old-50 years old age bracket is confirmed as general modfel, and the age bracket more than 50 years old is confirmed as old man's pattern, selects corresponding contextual model according to the age then.When detecting can't be connected to the webserver time, contextual model applying unit 203 can be used the contextual model that adapts with the age of user of estimating based on the configuration file that is stored in the contextual model in the storer 106.
But so not desirable in the possible actual conditions, old man of 60 years old eyesight, hearing loss probably gets very slowly, or is well preserved, and he can not use old man's pattern fully.Therefore, ubiquity should be considered during the definition contextual model, also special circumstances will be considered.Therefore, can multistage contextual model be set according to certain age span.For example, old man's pattern, child's pattern are further segmented again.In addition; When the age of user of estimating be in the corresponding age bracket of old man's pattern (promptly; The highest age bracket in a plurality of age brackets) in; And the difference of the age of user of estimating and the lower limit of this age bracket is during greater than predetermined value, and contextual model applying unit 203 is the configuration files of the contextual model of adjustment application automatically.For example; For this age bracket more than 50 years old; Can 50 years old-60 years old be old man's pattern with basal age; If estimate age of user is 60 years old-70 years old, and then each parameter with the configuration file of contextual model raises one-level (for example, with rise one-levels such as brightness, font size, resolution, the tinkle of bells size, keypad tones).In like manner, when age of user rises, again each parameter is raised one-level.
According to the embodiment of the invention, allow the user that at least one parameter in the configuration file of the contextual model of contextual model applying unit 203 application is adjusted.For example, very slow if 60 years old user's eyesight, hearing loss get as stated, then this user can adjust brightness in the configuration file of old man's pattern, contrast, font size, resolution, the tinkle of bells size, keypad tone etc.
In fact, along with the progress of science and technology, mankind aging's process is slack-off gradually, and ripe process is then accelerated day by day.Therefore, can obtain the corresponding age bracket crowd's of more and more truer reflection common requirement through the long-term statistics of the webserver, so that the setting of the contextual model of portable electric appts hommization more.Specifically; When at least one in the configuration file of the contextual model that user's manual adjustment contextual model applying unit 203 is used parameter; Contextual model applying unit 203 can upload to the webserver with the adjusted parameter of user, thereby the webserver can upgrade the configuration file of contextual model of wherein storage.Confirm that when the webserver with any parameter adjustment in the configuration file be identical number of users during greater than predetermined threshold, the webserver uses adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.On the other hand; When the webserver confirmed that with any parameter adjustment in the configuration file ratio between the number of users of configuration file of the contextual model that to be identical number of users provide with the reception webserver is greater than predetermined threshold, the webserver used adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.For example, if there be N user to receive the configuration file of the contextual model that the webserver provides, wherein (the individual user of M≤N) is adjusted into 60 with brightness from 50 to M, and then the webserver confirms whether M/N surpasses predetermined threshold; If the webserver is confirmed M/N and surpassed predetermined threshold, then use the item (that is brightness) of the corresponding configuration file of adjusted parameter (that is, brightness 60) updated stored.
According to the embodiment of the invention, contextual model self-adaptation adjustment unit 108 also can comprise the light sensor (not shown).Light sensor sensing extraneous light, and sensing result is sent to contextual model applying unit 203.Contextual model applying unit 203 is automatically adjusted the configuration file of contextual model according to the sensing result of light sensor.For example; When the sensing result of light sensor indicates extraneous light very weak (for example; The night that light is very dark) time; Contextual model applying unit 203 can be heightened brightness, font size and/or resolution etc., and when the sensing result of light sensor indicated extraneous light very strong, contextual model applying unit 203 can be heightened contrast.
Fig. 3 illustrate according to the embodiment of the invention in portable electric appts based on the process flow diagram of the method for recognition of face self-adaptation application scenario pattern.
With reference to Fig. 3,, take user's face image in step 301.According to the embodiment of the invention, when detecting portable electric appts start or predetermined key and be pressed, execution in step 301.In step 302, through user's face image of taking is carried out the age of recognition of face with estimating user.Here; Can carry out recognition of face with the estimating user age in this locality to user's face image of taking through portable electric appts; Perhaps, user's face image of taking is carried out the age of recognition of face with estimating user by the webserver through user's face image of taking is uploaded to the webserver.In addition, portable electric appts is also stored the result that user's face image of taking is carried out recognition of face.Yet when detecting can't be connected to the webserver time, portable electric appts can carry out the age of recognition of face with estimating user to user's face image of taking in this locality.In step 303, based on the configuration file of the local contextual model of storing of portable electric appts, the configuration file of the contextual model of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.According to the embodiment of the invention, when the result of the result of the recognition of face of confirming the active user and last user's recognition of face indicates different user, execution in step 303.Selectively, when the user adjusts in the configuration file at least one parameter, adjusted parameter is uploaded to the webserver, thereby the webserver can upgrading to the corresponding configuration file of the contextual model of storage wherein.Confirm that when the webserver with any parameter adjustment in the configuration file be identical number of users during greater than predetermined threshold, the webserver uses adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.On the other hand; When the webserver confirmed that with any parameter adjustment in the configuration file ratio between the number of users of configuration file of the contextual model that to be identical number of users provide with the reception webserver is greater than predetermined threshold, the webserver used adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.In addition; Said method also can comprise the configuration file that is adjusted in the step 303 contextual model of using according to the extraneous light sensing result automatically, and can come the configuration zhang part of the contextual model of adjustment application automatically based on the difference between the lower limit of the age of user of estimating and the highest age bracket.
As stated, according to the embodiment of the invention in portable electric appts based on the method and apparatus of recognition of face self-adaptation application scenario pattern, can be according to user's difference, the contextual model that adjustment is intelligently used.This adjustment is under the unconscious state of user, automatically to accomplish, and the configuration file of adjusted contextual model is best suited in the active user, thereby makes portable electric appts have the characteristic of artificial intelligence, brings bigger convenience to the user.
Though shown and described some embodiment, it should be appreciated by those skilled in the art that under the situation that does not break away from principle of the present invention and spirit can make amendment to these embodiment, scope of the present invention is limited claim and equivalent thereof.
Claims (18)
- One kind in portable electric appts based on the method for recognition of face self-adaptation application scenario pattern, said method comprising the steps of:(a) take user's face image;(b) through user's face image of taking is carried out recognition of face with the estimating user age;(c) based on the configuration file of contextual model, use the contextual model that adapts with the age of user of estimating adaptively.
- 2. method according to claim 1; Wherein, the content of said configuration file comprises interface layout, interface number of links, interface linking relationship, brightness, contrast, theme, font, font size, resolution, the tinkle of bells kind, the tinkle of bells size of portable electric appts, the configuration of at least one parameter in the keypad tone.
- 3. method according to claim 2, wherein, when detecting portable electric appts start or predetermined key and be pressed, execution in step (a).
- 4. method according to claim 2; Wherein, Portable electric appts carries out recognition of face with the estimating user age in this locality to user's face image of taking; Perhaps portable electric appts uploads to the webserver with user's face image of taking, by the webserver user's face image of taking is carried out recognition of face with the estimating user age.
- 5. method according to claim 4, wherein, when detecting can't be connected to the webserver time, portable electric appts carries out recognition of face with the estimating user age in this locality to user's face image of taking.
- 6. method according to claim 2, wherein, said configuration file stores in the portable electric appts and/or the webserver,Wherein, step (c) comprising: based on the configuration file of the local storage of portable electric appts, the configuration file of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.
- 7. method according to claim 6, wherein, if said configuration file stores in the webserver, then when the user adjusts in the said configuration file at least one parameter, uploads to the webserver with adjusted said at least one parameter,When the webserver detect any the parameter adjustment in the configuration file be identical number of users greater than predetermined threshold, or the number of users of the configuration zhang part of the contextual model that provides of said number of users and the reception webserver between ratio during greater than predetermined threshold, the webserver uses adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.
- 8. method according to claim 2, wherein, said method also comprises: the result that storage is carried out recognition of face to user's face image of taking,Wherein, Step (b) also comprises: the result of the last user's of the result of active user's recognition of face and storage recognition of face is compared; If result relatively indicates the active user different with last user, then estimate active user's age, thus execution in step (c).
- 9. method according to claim 2 also comprises: according to the extraneous light sensing result, adjust the configuration file of the contextual model of using automatically.
- One kind can be based on the portable electric appts of recognition of face self-adaptation application scenario pattern, said portable electric appts comprises:Image unit is taken user's face image;Face identification unit is through carrying out recognition of face with the estimating user age to user's face image of taking;The contextual model applying unit based on the configuration file of contextual model, is used the contextual model that adapts with the age of user of estimating adaptively.
- 11. portable electric appts according to claim 10; Wherein, the content of said configuration file comprises interface layout, interface number of links, interface linking relationship, brightness, contrast, theme, font, font size, resolution, the tinkle of bells kind, the tinkle of bells size of portable electric appts, the configuration of at least one parameter in the keypad tone.
- 12. portable electric appts according to claim 11, wherein, when portable electric appts start or predetermined key were pressed, image unit was taken user's face image.
- 13. portable electric appts according to claim 11; Wherein, Face identification unit is carried out recognition of face with the estimating user age in this locality to user's face image of taking; Perhaps user's face image of taking is uploaded to the webserver, user's face image of taking is carried out recognition of face with the estimating user age by the webserver.
- 14. portable electric appts according to claim 13, wherein, when detecting can't be connected to the webserver time, face identification unit is carried out recognition of face with the estimating user age in this locality to user's face image of taking.
- 15. portable electric appts according to claim 11, wherein, said configuration file stores in the portable electric appts and/or the webserver,Wherein, the contextual model applying unit is based on the configuration file of this locality storage, and the configuration file of storing in the server perhaps Network Based is used the contextual model that adapts with the age of user of estimating adaptively.
- 16. portable electric appts according to claim 15; Wherein, If said configuration file stores is in the webserver; Then when the user adjusted in the said configuration file at least one parameter, the contextual model applying unit uploaded to the webserver with adjusted said at least one parameterWhen the webserver detect any the parameter adjustment in the configuration file be identical number of users greater than predetermined threshold, or the number of users of the configuration file of the contextual model that provides of said number of users and the reception webserver between ratio during greater than predetermined threshold, the webserver uses adjusted parameter update to be stored in the item of the corresponding configuration file in the webserver.
- 17. portable electric appts according to claim 11, wherein, the result that the face identification unit storage is carried out recognition of face to user's face image of taking,Wherein, Face identification unit compares the result of the last user's of the result of active user's recognition of face and storage recognition of face; If result relatively indicates the active user different with last user; Then face identification unit is estimated active user's age, thereby the contextual model applying unit is used the contextual model that adapts with the age of user of estimating adaptively based on the configuration file of contextual model.
- 18. portable electric appts according to claim 11 also comprises: light sensor, the sensing extraneous light,Wherein, the contextual model applying unit is adjusted the configuration file of the contextual model of using automatically according to the sensing result of light sensor.
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