CN107920163A - A kind of indicating mode switching method and mobile terminal, cloud server - Google Patents

A kind of indicating mode switching method and mobile terminal, cloud server Download PDF

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Publication number
CN107920163A
CN107920163A CN201711120317.9A CN201711120317A CN107920163A CN 107920163 A CN107920163 A CN 107920163A CN 201711120317 A CN201711120317 A CN 201711120317A CN 107920163 A CN107920163 A CN 107920163A
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China
Prior art keywords
indicating mode
mobile terminal
currently used
identification model
recognition result
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CN201711120317.9A
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Chinese (zh)
Inventor
张晗玉
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Priority to CN201711120317.9A priority Critical patent/CN107920163A/en
Publication of CN107920163A publication Critical patent/CN107920163A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M19/00—Current supply arrangements for telephone systems
    • H04M19/02—Current supply arrangements for telephone systems providing ringing current or supervisory tones, e.g. dialling tone or busy tone
    • H04M19/04—Current supply arrangements for telephone systems providing ringing current or supervisory tones, e.g. dialling tone or busy tone the ringing-current being generated at the substations

Abstract

An embodiment of the present invention provides a kind of indicating mode switching method and mobile terminal, cloud server, this method to include：Obtain the currently used scene of mobile terminal；And obtain using indicating mode identification model and the recognition result that indicating mode identifies is carried out based on the current usage scenario；Further according to the recognition result, it is determined whether need to carry out the indicating mode switching of mobile terminal；If so, the indicating mode of mobile terminal is then switched into target indicating mode.The embodiment of the present invention, advance trained indicating mode identification model can be utilized, and the currently used scene based on mobile terminal, automatically identify the target indicating mode to match with the current usage scenario, the indicating mode of mobile terminal is switched into the target indicating mode again, realize the intelligence of indicating mode switching, avoid because user forgets manual switching and caused by unnecessary trouble, so as to improve user experience.

Description

A kind of indicating mode switching method and mobile terminal, cloud server
Technical field
The present invention relates to intelligent identification technology field, more particularly to a kind of indicating mode switching method and mobile terminal, cloud Hold server.
Background technology
At present, with the fast development of mobile communication technology, the use of mobile terminal (such as mobile phone) is more and more frequent, uses Family often uses mobile terminal in the various places of various occasions.In order to meet user under different usage scenarios, selection is suitable for Indicating mode under the usage scenario, in general, smart mobile phone at least support three kinds of indicating modes, i.e. silent mode, vibration Pattern, ring tone modes.
For different usage scenarios, it is necessary to manually by required indicating mode, and often after usage scenario change, Yong Huke It can forget to switch back indicating mode, for example, when user enters meeting room, it is necessary to manually switch to indicating mode mute Pattern or vibration mode, and when user terminates when meeting leaves the meeting room, it is necessary to again manually by indicating mode by silent mode Or vibration mode switches to ring tone modes, this process is comparatively laborious, once user forget indicating mode by silent mode or Vibration mode switches to ring tone modes, it is likely that occur missing phone or miss the situation of information, so as to user with Greatly to bother.
In the implementation of the present invention, inventor has found to have at least the following problems in correlation technique：In mobile terminal Usage scenario change after, it is necessary to which indicating mode is switched to indicating mode suitable for the usage scenario manually, exist due to User forgets to switch indicating mode, and the problem of missing phone or missing information occurs.
The content of the invention
The purpose of the embodiment of the present invention is to provide a kind of indicating mode switching method and mobile terminal, cloud server, with , it is necessary to manually switch to indicating mode suitable for the use after the usage scenario change of mobile terminal in solution correlation technique The indicating mode of scene, there are the problem of cumbersome, poor user experience.
In order to solve the above-mentioned technical problem, the embodiment of the present invention is realized in：
In a first aspect, an embodiment of the present invention provides a kind of indicating mode switching method, including：
The currently used scene of the mobile terminal is obtained, the currently used scene includes at least：Temporal information and position Confidence ceases；
Obtain using indicating mode identification model and carry out what indicating mode identified based on the currently used scene Recognition result, wherein, the indicating mode identification model advances with what deep learning method was trained for cloud server；
According to the recognition result, it is determined whether need to carry out the indicating mode switching of the mobile terminal；
If so, the indicating mode of the mobile terminal is then switched into target indicating mode.
Second aspect, an embodiment of the present invention provides a kind of indicating mode switching method, including：
The currently used scene that mobile terminal is sent is received, wherein, the currently used scene includes at least：Temporal information And positional information；
Indicating mode identification model corresponding with the mobile terminal is obtained, wherein, the indicating mode identification model is Cloud server advances with what deep learning method was trained；
Using the indicating mode identification model, indicating mode identification is carried out based on the currently used scene, obtains phase The recognition result answered；
The recognition result is sent to the mobile terminal.
The third aspect, an embodiment of the present invention provides a kind of mobile terminal, including：
Usage scenario acquisition module, for obtaining the currently used scene of the mobile terminal, wherein, it is described currently used Scene includes at least：Temporal information and positional information；
Recognition result acquisition module, for obtain using indicating mode identification model and based on the currently used scene into The recognition result that row indicating mode identifies, wherein, the indicating mode identification model advances with depth for cloud server Degree learning method is trained；
Pattern switching judgment module, for according to the recognition result, it is determined whether need to carry out the mobile terminal Indicating mode switches；
Indicating mode handover module, for if it is determined that needing to carry out pattern switching, then by the prompting of the mobile terminal Pattern switching is to target indicating mode.
Fourth aspect, an embodiment of the present invention provides a kind of cloud server, including：
Usage scenario receiving module, for receiving the currently used scene of mobile terminal transmission, wherein, it is described currently used Scene includes at least：Temporal information and positional information；
Identification model acquisition module, for obtaining indicating mode identification model corresponding with the mobile terminal, wherein, institute State indicating mode identification model and advance with what deep learning method was trained for cloud server；
Recognition result generation module, for utilize the indicating mode identification model, based on the currently used scene into Row indicating mode identifies, obtains corresponding recognition result；
Recognition result sending module, for sending the recognition result to the mobile terminal.
Indicating mode switching method and mobile terminal, cloud server, this method in the embodiment of the present invention include：Obtain The currently used scene of mobile terminal；And obtain using indicating mode identification model and carried based on the current usage scenario The recognition result that awake pattern-recognition obtains；Further according to the recognition result, it is determined whether need to carry out the indicating mode of mobile terminal Switching；If so, the indicating mode of mobile terminal is then switched into target indicating mode.The embodiment of the present invention, can utilize advance Trained indicating mode identification model, and the currently used scene based on mobile terminal, automatically identify currently used with this The target indicating mode that scene matches, then the indicating mode of mobile terminal is switched into the target indicating mode, realize and carry The intelligence for pattern switching of waking up, avoid because user forgets manual switching and caused by unnecessary trouble, so as to improve user Usage experience.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments described in invention, for those of ordinary skill in the art, in the premise of not making the creative labor property Under, other attached drawings can also be obtained according to these attached drawings.
Fig. 1 be indicating mode switching method provided in an embodiment of the present invention in mobile terminal and cloud server between into The application scenarios schematic diagram of row interaction；
Fig. 2 is the first flow diagram for the indicating mode switching method that one embodiment of the invention provides；
Fig. 3 is second of flow diagram of the indicating mode switching method that one embodiment of the invention provides；
Fig. 4 is the third flow diagram for the indicating mode switching method that one embodiment of the invention provides；
Fig. 5 is the 4th kind of flow diagram of the indicating mode switching method that one embodiment of the invention provides；
Fig. 6 is the 5th kind of flow diagram of the indicating mode switching method that one embodiment of the invention provides；
Fig. 7 is the first flow diagram for the indicating mode switching method that another embodiment of the present invention provides；
Fig. 8 is second of flow diagram of the indicating mode switching method that another embodiment of the present invention provides；
Fig. 9 is the module composition schematic diagram of mobile terminal provided in an embodiment of the present invention；
Figure 10 is the module composition schematic diagram of cloud server provided in an embodiment of the present invention；
Figure 11 is the structure diagram of mobile terminal provided in an embodiment of the present invention.
Embodiment
In order to make those skilled in the art more fully understand the technical solution in the present invention, below in conjunction with of the invention real The attached drawing in example is applied, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that described implementation Example is only part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this area is common Technical staff's all other embodiments obtained without creative efforts, should all belong to protection of the present invention Scope.
An embodiment of the present invention provides a kind of indicating mode switching method and mobile terminal, cloud server, can utilize Advance trained indicating mode identification model, and the currently used scene based on mobile terminal, automatically identify current with this The target indicating mode that usage scenario matches, then the indicating mode of mobile terminal is switched into the target indicating mode, realize The intelligence of indicating mode switching, avoid because user forgets manual switching and caused by unnecessary trouble, so as to improve User experience.
In the embodiment of the present invention, mobile terminal can be mobile phone, intercom etc., and by taking mobile phone as an example, the embodiment of the present invention carries Indicating mode switching method and mobile terminal, the cloud server of confession can be applied in application scenarios as shown in Figure 1, Fig. 1 Including mobile terminal 100 and cloud server 200.In Fig. 1, mobile terminal 100 passes through communication network and cloud server 200 Information exchange is carried out, when mobile terminal is in networking state, after the currently used scene for getting its own, this is currently made Sent to cloud server, cloud server with scene and carried using indicating mode identification model and based on currently used scene Awake pattern-recognition, and recognition result is back to mobile terminal；When mobile terminal is in unconnected state, its own is got Currently used scene after, mobile terminal is using the indicating mode identification model that prestores and is based on currently used scene (model Cloud server issues when in networking state), obtain recognition result；Either networking shape is in for mobile terminal The situation of state, or the situation of unconnected state is in for mobile terminal, advance with deep learning by cloud server Method trains to obtain indicating mode identification model, and determines the need for indicating mode according to recognition result by mobile terminal and cut Change.By indicating mode switching method provided in an embodiment of the present invention and mobile terminal, cloud server, indicating mode is realized The intelligence of switching, avoid because user forgets manual switching and caused by unnecessary trouble so that improving user uses body Test.
Fig. 2 is the flow diagram for the indicating mode switching method that one embodiment of the invention provides, and the method in Fig. 2 can Performed by the mobile terminal 100 in Fig. 1, the program module being especially provided with by mobile terminal 100 performs, as shown in Fig. 2, should Method includes at least following steps：
S201, obtains the currently used scene of mobile terminal, wherein, which includes at least：Temporal information And positional information, the temporal information can be obtained by clock software, which can be obtained by GPS module；
S202, is obtained using indicating mode identification model and is identified based on above-mentioned currently used scene progress indicating mode The recognition result arrived, wherein, which advances with deep learning method for cloud server and trains to obtain 's；
S203, according to the recognition result got, it is determined whether need to carry out the indicating mode switching of mobile terminal；
If so, then performing S204, the indicating mode of mobile terminal is switched into target indicating mode；
Wherein, in the specific implementation, if it is determined that place needs to switch, and indicating mode can be switched to target automatically and reminded Pattern, can also generate for prompting user to confirm to switch to the first prompting message of target indicating mode, if receiving user Target indicating mode is switched to for the confirmation message of the first prompt message, then by indicating mode.No matter using automatic switchover Mode, or using generate the first prompt message and prompt user confirm by the way of, user can be according to the actual requirements by setting The systematic parameter of mobile terminal is determined to select which kind of mode used, specifically, after the first prompt message of generation, can be carried with default Show that first prompt message is showed user by mode, for example, pop-up, short message, short vibration etc..
Wherein, it is above-mentioned to work as in order to improve the accuracy for the target indicating mode finally determined based on currently used scene Preceding usage scenario can also include：User property, Weather property, user behavior attribute etc., user property can include gender, The information such as age bracket, occupation, Weather property can include information, the user behavior attributes such as weather conditions, temperature, humidity and can wrap Touch control operation containing user, mode switching operation, mail transmission/reception processing information etc..
In embodiment provided by the invention, advance trained indicating mode identification model can be utilized, and based on shifting The currently used scene of dynamic terminal, automatically identifies the target indicating mode to match with the current usage scenario, then will be mobile The indicating mode of terminal switches to the target indicating mode, realizes the intelligence of indicating mode switching, avoids because user forgets Remember manual switching and cause unnecessary trouble, so as to improve user experience.
Further, it is contemplated that mobile terminal there may be currently can not normal cluster (suspension is offline) situation, this time shift The currently used scene got can not be uploaded to cloud server by dynamic terminal, while can not also receive cloud server transmission Indicating mode recognition result, in order to ensure no matter mobile terminal is in networking state, is in non-networked state, can Currently used scene based on mobile terminal, automatically identifies the indicating mode to match with the current usage scenario, therefore, During the progress indicating mode identification of currently used scene and generating corresponding recognition result, the following two kinds realization is given Mode, Yi Zhongshi, when mobile terminal is in networking state, using indicating mode identification model and is based on working as by cloud server Preceding usage scenario carries out indicating mode identification, generates corresponding recognition result；Another kind is to be in non-networked shape in mobile terminal During state, indicating mode identification is carried out by mobile terminal itself using indicating mode identification model and based on currently used scene, it is raw Into corresponding recognition result, it is specially：
As shown in figure 3, above-mentioned S202 is obtained using indicating mode identification model and carried out based on above-mentioned currently used scene The recognition result that indicating mode identifies, specifically includes：
S2021, judges whether mobile terminal is in networking state；
If so, then performing S2022, the currently used scene got is sent to cloud server, and receives high in the clouds clothes The recognition result that business device is sent, the recognition result using indicating mode identification model and are based on currently used field for cloud server Scape carries out the recognition result that indicating mode identifies；Correspond to, when mobile terminal is in networking state, by cloud server Indicating mode identification is carried out based on currently used scene and generates corresponding recognition result；
If it is not, then performing S2023, the indicating mode identification model to prestore is obtained, and utilizes the indicating mode identification model, Indicating mode identification is carried out based on above-mentioned currently used scene, obtains corresponding recognition result；Correspond to, be in mobile terminal During non-networked state, currently used scene is based on by mobile terminal itself and carries out indicating mode identification and generate to identify knot accordingly Fruit.
In embodiment provided by the invention, when mobile terminal is in networking state, currently used scene is uploaded to Cloud server, by cloud server to carry out indicating mode identification, then by recognition result feeds back to mobile terminal, so need not The running memory of mobile terminal is taken, while also in advance in the trained indicating mode identification of mobile terminal storage cloud server Model, accordingly even when in the case where mobile terminal is in non-networked state, still ensures that the currently used scene based on mobile terminal, from It is dynamic to identify the indicating mode to match with the current usage scenario.
Wherein, above-mentioned recognition result is included in the corresponding recommendation probability of each indicating mode under currently used scene, specifically, Using indicating mode identification model, indicating mode identification is carried out based on above-mentioned currently used scene, obtains corresponding recognition result, Specifically include：
The currently used scene got is inputted to advance trained indicating mode identification model, wherein, the prompting Pattern recognition model is cloud server using deep learning method and is based on training sample set, trains obtained deep learning mould Type, the training sample set include the correspondence between the usage scenario of a large amount of mobile terminal history and indicating mode；
Based on indicating mode identification model, calculate respectively each indicating mode under currently used scene it is corresponding recommend it is general Rate, for example, indicating mode type includes silent mode, vibration mode, ring tone modes Three models, at this time, by output, three push away Probability is recommended, i.e., the recommendation probability of silent mode is used under currently used scene, vibration mode is used under currently used scene Recommend probability, under currently used scene use ring tone modes recommendation probability.
Correspondingly, as shown in figure 4, above-mentioned S203 is according to the recognition result got, it is determined whether need to carry out the shifting The indicating mode switching of dynamic terminal, specifically includes：
S2031, according to the corresponding recommendation probability of each indicating mode, determines to remind with the target that currently used scene matches Pattern, specifically, the corresponding indicating mode of maximum probability value will be recommended to be determined as target indicating mode；
S2032, whether the current indicating mode for judging mobile terminal is target indicating mode, that is, judges that mobile terminal has been set Whether the indicating mode put and the target indicating mode determined are consistent, if unanimously, illustrating that cutting for indicating mode need not be carried out Change, if inconsistent, it is determined that need to carry out the indicating mode switching of mobile terminal.
Wherein, if after determining to need to carry out indicating mode switching, using the first prompt message of generation and prompt to use The mode that family confirms, at this time, there are two kinds of situations, and Yi Zhongshi, receives the confirmation message of user's submission, another kind is not connect The confirmation message of user is received, as shown in figure 5, the indicating mode of mobile terminal is switched to target indicating mode by above-mentioned S204, Specifically include：
S2041, generation are used to prompt user to confirm to switch to the first prompt message of target indicating mode；
S2042, judges the confirmation message that user is directed to the first prompt message whether is received in preset time；
If receiving, S2071 is performed, the indicating mode of mobile terminal is switched into target indicating mode, and will be current Correspondence between usage scenario and target indicating mode is as model training sample；And S213 is performed, by above-mentioned model Training sample is sent to cloud server, so that cloud server is according to model training Sample Refreshment training sample set；
If not receiving, S2043 is performed, according to the corresponding recommendation probability of each indicating mode, judges whether to need to force Switch to target indicating mode；
If so, then performing S2072, the indicating mode of mobile terminal is forced to switch to target indicating mode.
Specifically, above-mentioned S2043, according to the corresponding recommendation probability of each indicating mode, judges whether to need pressure to switch to Target indicating mode, specifically includes：
Judge that each indicating mode is corresponding and recommend whether maximum probability value is more than predetermined probabilities threshold value；
If, it is determined that need pressure to switch to target indicating mode.
Wherein, above-mentioned predetermined probabilities threshold value can carry out sets itself according to user's actual need, can also select to set Default value, when the recommendation probability for a certain indicating mode determined is bigger, illustrate that the history of the mobile terminal is being deserved Bigger using the probability of the indicating mode under preceding usage scenario, the target indicating mode accuracy determined at this time is higher.
Further, in order to continue to optimize indicating mode recognition mode, the accuracy of indicating mode identification is stepped up, is based on This, as shown in fig. 6, above-mentioned S2072 forces the indicating mode of mobile terminal after switching to target indicating mode, further includes：
S208, generation are used for the second prompt message for prompting user's selection for this pressure switching whether satisfied；
S209, judges whether to receive the satisfactory feedback that user is directed to above-mentioned second prompt message；
If so, then performing S210, instructed the correspondence between currently used scene and target indicating mode as model Practice sample；
If it is not, then performing S211, judge whether to receive the target indicating mode of user's selection；
If so, S212 is then performed, the correspondence between the target indicating mode that currently used scene and user are selected As model training sample, and by indicating mode switch to user selection target indicating mode；
S213, above-mentioned model training sample is sent to cloud server, so that cloud server is according to model training sample This more new training sample set, in the specific implementation, records the usage scenario obtained after user's Attended Operation each time with reminding mould Correspondence between formula, then, which is sent to cloud server；In addition, in order to ensure the peace of data transfer Quan Xing, it is above-mentioned to send model training sample to cloud server, including：Model training sample is encrypted, will be added Model training sample after close is sent to cloud server.
Wherein, by the correspondence between the usage scenario and indicating mode that are obtained after user's Attended Operation, as mould Type training sample is sent to cloud server, and cloud server is according to the correspondence more new training sample set of reception, Jin Erji Training sample set after renewal, re-starts the training of indicating mode identification model, obtains new indicating mode identification model；By It is the corresponding pass being continuously replenished between the usage scenario after user's Attended Operation and indicating mode in the training sample set after renewal System, so that the indicating mode that the indicating mode identification model that training obtains is more in line with user sets preference, further carries The high accuracy of indicating mode identification.
Fig. 7 is the flow diagram for the indicating mode switching method that another embodiment of the present invention provides, the method energy in Fig. 7 Enough to be performed by the cloud server 200 in Fig. 1, the program module being especially provided with by cloud server 200 performs, such as Fig. 7 Shown, this method includes at least following steps：
S701, receives the currently used scene that mobile terminal is sent, wherein, which includes at least：Time Information and positional information；
S702, obtains indicating mode identification model corresponding with mobile terminal, wherein, which is cloud End server advances with what deep learning method was trained；
S703, using indicating mode identification model, indicating mode identification is carried out based on currently used scene, is obtained corresponding Recognition result；
S704, above-mentioned recognition result is sent to corresponding mobile terminal, so that mobile terminal is according to the identification received As a result, determine the need for carrying out the indicating mode switching of mobile terminal.
Wherein, above-mentioned S703 is based on currently used scene and carries out indicating mode identification, obtains corresponding recognition result, specifically Including：
Indicating mode identification is carried out based on currently used scene, determines that each indicating mode is corresponding under currently used scene Recommend probability, be specially：
The currently used scene got is inputted to advance trained indicating mode identification model, wherein, the prompting Pattern recognition model is cloud server using deep learning method and is based on training sample set, trains obtained deep learning mould Type, the training sample set include the correspondence between the usage scenario of a large amount of mobile terminal history and indicating mode；
Based on indicating mode identification model, calculate respectively each indicating mode under currently used scene it is corresponding recommend it is general Rate, for example, indicating mode type includes silent mode, vibration mode, ring tone modes Three models, at this time, by output, three push away Probability is recommended, i.e., the recommendation probability of silent mode is used under currently used scene, vibration mode is used under currently used scene Recommend probability, under currently used scene use ring tone modes recommendation probability.
Further, in order to continue to optimize indicating mode recognition mode, the accuracy of indicating mode identification, base are stepped up In this, as shown in figure 8, the above method further includes：
S705, receives the model training sample that mobile terminal is sent, wherein, which is user's Attended Operation Correspondence between rear usage scenario and indicating mode；
S706, according to the model training sample received, updates training sample set corresponding with above-mentioned mobile terminal；
S707, after determining to meet preset model update condition, based on the training sample set after renewal, re-starts and carries Wake up pattern recognition model training, obtain new indicating mode identification model, wherein, preset model update condition can be model more New time interval is more than preset time threshold, can also be that training sample concentrates model training sample changed quantity to be more than present count Measure threshold value.
Wherein, since the training sample set after renewal is that the usage scenario after user's Attended Operation is continuously replenished with reminding mould Correspondence between formula, constantly updates indicating mode identification model, so that training based on the training sample set after renewal The indicating mode that obtained indicating mode identification model is more in line with user sets preference, further increases indicating mode identification Accuracy.
Wherein, above-mentioned indicating mode identification model is trained in the following way obtains：
The training sample set of mobile terminal is obtained, wherein, which is stored in cloud server local, the training Sample set includes multiple model training samples, and each model training sample is represented between history usage scenario and history indicating mode Correspondence；
Using deep learning method and training sample set is based on, training obtains indicating mode identification model.
Wherein, above-mentioned training sample set can be a feature vector, and each feature vector characterizes one on mobile whole Correspondence between the usage scenario and indicating mode at end, i.e., correspond under section, what place, what weather at what time It is any in the indicating modes such as mute, vibration, the tinkle of bells.
In indicating mode identification model training process, the model training sample of input is carried out according to default cleaning rule Data cleansing, is met the model training sample of preset data requirement, wherein, which includes：History uses Correspondence between scene and history indicating mode；
The model training sample selected is inputted into neural network model to be trained, judges recommendation results and reality Whether the error between as a result is less than default error threshold, specifically, calculating each indicating mode under history usage scenario respectively Corresponding recommendation probability；Based on the corresponding recommendation probability of each indicating mode, judge that history indicating mode is corresponding and recommend probability and 1 Between difference square whether be less than default error threshold；
If so, then obtain indicating mode identification model；
If it is not, then reversely adjusted, until the whether default error threshold of the error between recommendation results and actual result.
Wherein, the obtained indicating mode identification model of training is comprising information：Recommended user is in some period, a certain A certain indicating mode is opened under a place, a certain weather.
Such as：For working clan Mr. Zhang, since there are a regular meeting in eight thirty of morning to nine thirty on every Mondays, collection To historical data learn that he can open silent mode in the period (eight thirty of morning to nine thirty on every Mondays) of meeting room, Vibration mode can be opened by leaving the meeting room after nine thirty.At this time, included in the obtained indicating mode identification model of training its In an information be：Eight thirty of morning to nine thirty detect that Mr. Zhang is just automatically switched mute mould into meeting room on every Mondays Formula.Leave the meeting room and open vibration mode.
And for example, obtained for student Xiao Ming, 7 points to evening of early 7 points of Mon-Fri in school, the historical data collected Knowing, he can open vibration mode in the period of school, and other times section opens ring tone modes, at this time, the prompting that training obtains The wherein information included in pattern recognition model is：In the period in this place (school), (early 7 points of Mon-Fri arrives 7 points of evening) automatic switchover silent mode.When detect leave school after, automatically switch to ring tone modes.
Further, it is contemplated that the identity type using the user of mobile terminal is probably constantly to change, such as user Occupational identity is changed into office worker by student, at this time, the training sample set based on the school-days, the indicating mode identification that training obtains Pattern, has not been suitable for being currently in the user of clerk identification, i.e. indicating mode and user identity type association degree is bigger, is The accuracy of indicating mode identification is improved, can be that each mobile terminal trains the corresponding prompting of different identity type therefore Pattern recognition model, and then, select the indicating mode identification model to match with the current identity type of user to be identified, that is, move The corresponding indicating mode identification model of dynamic terminal is multiple, and each indicating mode identification model corresponds to a user identity class Type；
Above-mentioned S701 obtains indicating mode identification model corresponding with mobile terminal, specifically includes：
Obtain the current user identities type of mobile terminal；In the corresponding multiple indicating mode identification models of the mobile terminal In, choose indicating mode identification model corresponding with current user identities type.
In addition, it is also contemplated that, can be beyond the clouds in server, based on use there may be the situation that user replaces mobile terminal The login account (e.g., Email Accounts) that family provides, stores at least one indicating mode identification of the user under the login account Model, after user replaces mobile terminal and former account is logged on the mobile terminal, therefore, is receiving account logging request Afterwards, by least one indicating mode identification model under the login account, identified as the corresponding indicating mode of the mobile terminal Model.
Further, it is contemplated that mobile terminal there may be currently can not normal cluster (suspension is offline) situation, at this time The currently used scene got can not be uploaded to cloud server by mobile terminal, while can not also receive cloud server hair The indicating mode recognition result sent, in order to ensure no matter mobile terminal is in networking state, is in non-networked state, equal energy Enough currently used scenes based on mobile terminal, automatically identify the indicating mode to match with the current usage scenario, therefore, When mobile terminal is in non-networked state, it is necessary to which being based on currently used scene by mobile terminal carries out indicating mode identification and life Into corresponding recognition result, based on this, the above method further includes：
If it is determined that identification model has more new version or receives the identification model transmission request of mobile terminal, then will carry Awake pattern recognition model is sent to the corresponding mobile terminal.
Specifically, after the identification model for receiving mobile terminal transmission sends request, being sent according to the identification model please Ask, transfer corresponding indicating mode identification model, wherein, transmission request carries mobile terminal identification or login account；
Alternatively, when determining that indicating mode identification model has more new version, the indicating mode after renewal is identified into mould Type is sent to corresponding mobile terminal.
In embodiment provided by the invention, identification model is being determined in the presence of more new version or is receiving mobile terminal When identification model sends request, indicating mode identification model is issued to mobile terminal by cloud server automatically, so that the movement Indicating mode identification model is stored in local by terminal, so in the case where mobile terminal is in non-networked state, is still ensured that and is based on The currently used scene of mobile terminal, automatically identifies the indicating mode to match with the current usage scenario.
The indicating mode switching method that a corresponding above-mentioned embodiment provides, based on identical technical concept, the present invention is implemented Example additionally provides a kind of mobile terminal, and Fig. 9 is the module composition schematic diagram of mobile terminal provided in an embodiment of the present invention, the movement Terminal is used to perform the indicating mode switching method that Fig. 2 to Fig. 6 is described, as shown in figure 9, the mobile terminal includes：
Usage scenario acquisition module 901, for obtaining the currently used scene of the mobile terminal, wherein, it is described current Usage scenario includes at least：Temporal information and positional information；
Recognition result acquisition module 902, for obtaining using indicating mode identification model and being based on the currently used field Scape carries out the recognition result that indicating mode identifies, wherein, the indicating mode identification model is sharp in advance for cloud server Trained with deep learning method；
Pattern switching judgment module 903, for according to the recognition result, it is determined whether need to carry out the mobile terminal Indicating mode switching；
Indicating mode handover module 904, for if it is determined that needing to carry out pattern switching, then carrying the mobile terminal Pattern switching of waking up is to target indicating mode.
Optionally, the recognition result acquisition module 902, is specifically used for：
Judge whether the mobile terminal is in networking state；
If so, then sending the currently used scene to cloud server, and receive what the cloud server was sent Recognition result, the recognition result are carried out for cloud server using indicating mode identification model and based on the currently used scene The recognition result that indicating mode identifies；
If it is not, then obtaining the indicating mode identification model to prestore, and the indicating mode identification model is utilized, based on described Currently used scene carries out indicating mode identification, obtains corresponding recognition result.
Optionally, the recognition result is included in the corresponding recommendation probability of each indicating mode under the currently used scene；
The pattern switching judgment module 903, is specifically used for：
According to the corresponding recommendation probability of each indicating mode, the target for determining to match with the currently used scene carries Awake pattern；
Whether the current indicating mode for judging the mobile terminal is the target indicating mode；
If not, it is determined that need to carry out the indicating mode switching of the mobile terminal.
Optionally, the indicating mode handover module 904, is specifically used for：
Judge whether to receive the confirmation message that user is directed to the first prompt message in preset time, wherein, described the One prompt message is for prompting user to confirm to switch to the information of target indicating mode；
If not receiving, according to the corresponding recommendation probability of each indicating mode, judge whether to need pressure to switch to Target indicating mode；
If desired switching is forced, then forces the indicating mode of the mobile terminal to switch to target indicating mode.
Optionally, the mobile terminal further includes：
Second information generating module, for forcing the indicating mode of the mobile terminal to switch to target indicating mode Afterwards, generation is used for the second prompt message for prompting user's selection for this pressure switching whether satisfied；
Judgment module whether user is satisfied with, for judging whether to receive satisfaction of the user for second prompt message Feedback；
Training sample logging modle, if the satisfactory feedback for receiving user, by the currently used scene and institute The correspondence between target indicating mode is stated as model training sample；If the satisfactory feedback of user is not received and is received The target indicating mode of user's selection, then by between the currently used scene and the target indicating mode of user's selection Correspondence is as model training sample；
Training sample sending module, for sending the model training sample to cloud server.
Mobile terminal in the embodiment of the present invention, can utilize advance trained indicating mode identification model, and be based on The currently used scene of mobile terminal, automatically identifies the target indicating mode to match with the current usage scenario, then will move The indicating mode of dynamic terminal switches to the target indicating mode, realizes the intelligence of indicating mode switching, avoids because of user Forget manual switching and cause unnecessary trouble, so as to improve user experience.
Mobile terminal provided in an embodiment of the present invention can realize the indicating mode switching method that an above-mentioned embodiment provides Each process in corresponding embodiment, to avoid repeating, which is not described herein again.
The indicating mode switching method that corresponding above-mentioned another embodiment provides, it is real based on identical technical concept, the present invention Apply example and additionally provide a kind of cloud server, Figure 10 is the module composition signal of cloud server provided in an embodiment of the present invention Figure, the cloud server are used to perform the indicating mode switching method that Fig. 7 to Fig. 8 is described, as shown in Figure 10, the cloud server Including：
Usage scenario receiving module 1001, for receiving the currently used scene of mobile terminal transmission, wherein, it is described current Usage scenario includes at least：Temporal information and positional information；
Identification model acquisition module 1002, for obtaining indicating mode identification model corresponding with the mobile terminal, its In, the indicating mode identification model advances with what deep learning method was trained for cloud server
Recognition result generation module 1003, for utilizing the indicating mode identification model, based on the currently used field Scape carries out indicating mode identification, obtains corresponding recognition result；
Recognition result sending module 1004, for sending the recognition result to the mobile terminal.
Optionally, the recognition result generation module 1003, is specifically used for：
Indicating mode identification is carried out based on the currently used scene, determines respectively to remind mould under the currently used scene The corresponding recommendation probability of formula.
Optionally, the cloud server further includes：
Training sample receiving module, the model training sample sent for receiving the mobile terminal；
Training sample set update module, for whole according to the model training sample received, renewal and the movement Hold corresponding training sample set.
Optionally, the cloud server further includes：
Identification model sending module, for if it is determined that identification model has more new version or receives the knowledge of mobile terminal Other model sends request, then sends the indicating mode identification model to the corresponding mobile terminal.
Optionally, the corresponding indicating mode identification model of the mobile terminal is multiple each indicating mode identification Model corresponds to a user identity type；
The identification model acquisition module 1002, is specifically used for：
Obtain the current user identities type of the mobile terminal；
In the corresponding multiple indicating mode identification models of the mobile terminal, choose and the current user identities type Corresponding indicating mode identification model.
Cloud server in the embodiment of the present invention, can utilize advance trained indicating mode identification model, and base In the currently used scene of mobile terminal, the target indicating mode to match with the current usage scenario is automatically identified, then will The indicating mode of mobile terminal switches to the target indicating mode, realize indicating mode switching intelligence, avoid because with Family forgets manual switching and causes unnecessary trouble, so as to improve user experience.
Cloud server provided in an embodiment of the present invention can realize the indicating mode switching that above-mentioned another embodiment provides Each process in the corresponding embodiment of method, to avoid repeating, which is not described herein again.
The indicating mode switching method that corresponding above-described embodiment provides, based on identical technical concept, the embodiment of the present invention A kind of mobile terminal is additionally provided, which is used to perform above-mentioned indicating mode switching method, and Figure 11 is of the invention each to realize A kind of hardware architecture diagram of mobile terminal of a embodiment, the mobile terminal 100 shown in Figure 11 include but not limited to：Radio frequency Unit 101, mixed-media network modules mixed-media 102, audio output unit 103, input unit 104, sensor 105, display unit 106, user are defeated Enter the components such as unit 107, interface unit 108, memory 109, processor 110 and power supply 111.Those skilled in the art can To understand, the mobile terminal structure shown in Figure 11 does not form the restriction to mobile terminal, and mobile terminal can be included than figure Show more or fewer components, either combine some components or different components arrangement.In embodiments of the present invention, it is mobile Terminal includes but not limited to mobile phone, tablet computer, laptop, palm PC, car-mounted terminal, wearable device, Yi Jiji Walk device etc..
Wherein, processor 110, for obtaining the currently used scene of the mobile terminal, wherein, the currently used field Scape includes at least：Temporal information and positional information；Obtain using indicating mode identification model and be based on the currently used scene The recognition result that indicating mode identifies is carried out, wherein, the indicating mode identification model advances with for cloud server Deep learning method is trained；According to the recognition result, it is determined whether need to carry out the prompting mould of the mobile terminal Formula switches；If so, the indicating mode of the mobile terminal is then switched into target indicating mode.
In embodiments of the present invention, above-mentioned mobile terminal 100 further includes：It is stored on memory 109 and can be in processor The computer program run on 110, the computer program realize following steps when being performed by processor 110：
The currently used scene of the mobile terminal is obtained, wherein, the currently used scene includes at least：Temporal information And positional information；
Obtain using indicating mode identification model and carry out what indicating mode identified based on the currently used scene Recognition result, wherein, the indicating mode identification model advances with what deep learning method was trained for cloud server；
According to the recognition result, it is determined whether need to carry out the indicating mode switching of the mobile terminal；
If so, the indicating mode of the mobile terminal is then switched into target indicating mode.
Optionally, following steps can be also realized when computer program is performed by processor 110：
It is described to obtain using indicating mode identification model and identified based on the currently used scene progress indicating mode The recognition result arrived, including：
Judge whether the mobile terminal is in networking state；
If so, then sending the currently used scene to cloud server, and receive what the cloud server was sent Recognition result, the recognition result are carried out for cloud server using indicating mode identification model and based on the currently used scene The recognition result that indicating mode identifies；
If it is not, then obtaining the indicating mode identification model to prestore, and the indicating mode identification model is utilized, based on described Currently used scene carries out indicating mode identification, obtains corresponding recognition result.
Optionally, following steps can be also realized when computer program is performed by processor 110：
The recognition result is included in the corresponding recommendation probability of each indicating mode under the currently used scene；
It is described according to the recognition result, it is determined whether need to carry out the indicating mode switching of the mobile terminal, including：
According to the corresponding recommendation probability of each indicating mode, the target for determining to match with the currently used scene carries Awake pattern；
Whether the current indicating mode for judging the mobile terminal is the target indicating mode；
If not, it is determined that need to carry out the indicating mode switching of the mobile terminal.
Optionally, following steps can be also realized when computer program is performed by processor 110：
The indicating mode by the mobile terminal switches to target indicating mode, including：
Judge whether to receive the confirmation message that user is directed to the first prompt message in preset time, wherein, described the One prompt message is for prompting user to confirm to switch to the information of target indicating mode；
If not receiving, according to the corresponding recommendation probability of each indicating mode, judge whether to need pressure to switch to Target indicating mode；
If desired switching is forced, then forces the indicating mode of the mobile terminal to switch to target indicating mode.
Optionally, following steps can be also realized when computer program is performed by processor 110：
The indicating mode by the mobile terminal is forced after switching to target indicating mode, is further included：
Generation is used for the second prompt message for prompting user's selection for this pressure switching whether satisfied；
Judge whether that receive user is satisfied with option for second prompt message；
If so, then using the correspondence between the currently used scene and the target indicating mode as model training Sample；
If not and the target indicating mode of user's selection is received, then the institute selected the currently used scene and user The correspondence between target indicating mode is stated as model training sample；
The model training sample is sent to cloud server.
Mobile terminal 100 in the embodiment of the present invention, can utilize advance trained indicating mode identification model, and base In the currently used scene of mobile terminal, the target indicating mode to match with the current usage scenario is automatically identified, then will The indicating mode of mobile terminal switches to the target indicating mode, realize indicating mode switching intelligence, avoid because with Family forgets manual switching and causes unnecessary trouble, so as to improve user experience.
It should be noted that mobile terminal 100 provided in an embodiment of the present invention can realize that the method for Fig. 2 to Fig. 6 is implemented Each process that mobile terminal is realized in example, to avoid repeating, which is not described herein again.
It should be understood that in the embodiment of the present invention, radio frequency unit 101 can be used for receiving and sending messages or communication process in, signal Reception and transmission, specifically, by from base station downlink data receive after, handled to processor 110；In addition, by uplink Data sending is to base station.In general, radio frequency unit 101 includes but not limited to antenna, at least one amplifier, transceiver, coupling Device, low-noise amplifier, duplexer etc..In addition, radio frequency unit 101 can also by wireless communication system and network and other set Standby communication.
Mobile terminal has provided wireless broadband internet to the user by mixed-media network modules mixed-media 102 and has accessed, and such as helps user to receive Send e-mails, browse webpage and access streaming video etc..
Audio output unit 103 can be receiving by radio frequency unit 101 or mixed-media network modules mixed-media 102 or in memory 109 It is sound that the voice data of storage, which is converted into audio signal and exports,.Moreover, audio output unit 103 can also be provided and moved The relevant audio output of specific function that dynamic terminal 100 performs is (for example, call signal receives sound, message sink sound etc. Deng).Audio output unit 103 includes loudspeaker, buzzer and receiver etc..
Input unit 104 is used to receive audio or video signal.Input unit 104 can include graphics processor (Graphics Processing Unit, GPU) 1041 and microphone 1042, graphics processor 1041 is in video acquisition mode Or the static images or the view data of video obtained in image capture mode by image capture apparatus (such as camera) carry out Reason.Picture frame after processing may be displayed on display unit 106.Picture frame after the processing of graphics processor 1041 can be deposited Storage is transmitted in memory 109 (or other storage mediums) or via radio frequency unit 101 or mixed-media network modules mixed-media 102.Mike Wind 1042 can receive sound, and can be voice data by such acoustic processing.Voice data after processing can be The form output of mobile communication base station can be sent to via radio frequency unit 101 by being converted in the case of telephone calling model.
Mobile terminal 100 further includes at least one sensor 105, such as optical sensor, motion sensor and other biographies Sensor.Specifically, optical sensor includes ambient light sensor and proximity sensor, wherein, ambient light sensor can be according to environment The light and shade of light adjusts the brightness of display panel 1061, and proximity sensor can close when mobile terminal 100 is moved in one's ear Display panel 1061 and/or backlight.As one kind of motion sensor, accelerometer sensor can detect in all directions (general For three axis) size of acceleration, size and the direction of gravity are can detect that when static, available for identification mobile terminal posture (ratio Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap)；Pass Sensor 105 can also include fingerprint sensor, pressure sensor, iris sensor, molecule sensor, gyroscope, barometer, wet Meter, thermometer, infrared ray sensor etc. are spent, details are not described herein.
Display unit 106 is used for the information for showing by information input by user or being supplied to user.Display unit 106 can wrap Display panel 1061 is included, liquid crystal display (Liquid Crystal Display, LCD), Organic Light Emitting Diode can be used Forms such as (Organic Light-Emitting Diode, OLED) configures display panel 1061.
User input unit 107 can be used for the numeral or character information for receiving input, and produce the use with mobile terminal The key signals input that family is set and function control is related.Specifically, user input unit 107 include contact panel 1071 and Other input equipments 1072.Contact panel 1071, also referred to as touch-screen, collect user on it or neighbouring touch operation (for example user uses any suitable objects or annex such as finger, stylus on contact panel 1071 or in contact panel 1071 Neighbouring operation).Contact panel 1071 may include both touch detecting apparatus and touch controller.Wherein, touch detection Device detects the touch orientation of user, and detects the signal that touch operation is brought, and transmits a signal to touch controller；Touch control Device processed receives touch information from touch detecting apparatus, and is converted into contact coordinate, then gives processor 110, receiving area Manage the order that device 110 is sent and performed.It is furthermore, it is possible to more using resistance-type, condenser type, infrared ray and surface acoustic wave etc. Type realizes contact panel 1071.Except contact panel 1071, user input unit 107 can also include other input equipments 1072.Specifically, other input equipments 1072 can include but is not limited to physical keyboard, function key (such as volume control button, Switch key etc.), trace ball, mouse, operation lever, details are not described herein.
Further, contact panel 1071 can be covered on display panel 1061, when contact panel 1071 is detected at it On or near touch operation after, send to processor 110 with determine touch event type, be followed by subsequent processing device 110 according to touch The type for touching event provides corresponding visual output on display panel 1061.Although in fig. 11, contact panel 1071 is with showing Show that panel 1061 is the component independent as two to realize the function that outputs and inputs of mobile terminal, but in some embodiments In, can be integrated by contact panel 1071 and display panel 1061 and realize the function that outputs and inputs of mobile terminal, it is specific this Place does not limit.
Interface unit 108 is the interface that external device (ED) is connected with mobile terminal 100.For example, external device (ED) can include Line or wireless head-band earphone port, external power supply (or battery charger) port, wired or wireless data port, storage card end Mouth, port, audio input/output (I/O) port, video i/o port, earphone end for connecting the device with identification module Mouthful etc..Interface unit 108 can be used for receive the input (for example, data message, electric power etc.) from external device (ED) and One or more elements that the input received is transferred in mobile terminal 100 can be used in 100 He of mobile terminal Data are transmitted between external device (ED).
Memory 109 can be used for storage software program and various data.Memory 109 can mainly include storing program area And storage data field, wherein, storing program area can storage program area, application program (such as the sound needed at least one function Sound playing function, image player function etc.) etc.；Storage data field can store according to mobile phone use created data (such as Voice data, phone directory etc.) etc..In addition, memory 109 can include high-speed random access memory, can also include non-easy The property lost memory, a for example, at least disk memory, flush memory device or other volatile solid-state parts.
Processor 110 is the control centre of mobile terminal, utilizes each of various interfaces and the whole mobile terminal of connection A part, by running or performing the software program and/or module that are stored in memory 109, and calls and is stored in storage Data in device 109, perform the various functions and processing data of mobile terminal, so as to carry out integral monitoring to mobile terminal.Place Reason device 110 may include one or more processing units；Preferably, processor 110 can integrate application processor and modulatedemodulate is mediated Device is managed, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is main Handle wireless communication.It is understood that above-mentioned modem processor can not also be integrated into processor 110.
Mobile terminal 100 can also include the power supply 111 (such as battery) to all parts power supply, it is preferred that power supply 111 Can be logically contiguous by power-supply management system and processor 110, so as to realize management charging by power-supply management system, put The function such as electricity and power managed.
In addition, mobile terminal 100 includes some unshowned function modules, details are not described herein.
Further, the indicating mode switching method that corresponding above-described embodiment provides, the embodiment of the present invention also provide one kind Computer-readable recording medium, is stored with computer program on the computer-readable recording medium, which is processed Each step such as above-mentioned indicating mode switching method embodiment is realized when device 110 performs, and identical technique effect can be reached, is Avoid repeating, which is not described herein again.Wherein, the computer-readable recording medium, such as read-only storage (Read-Only Memory, abbreviation ROM), random access memory (Random Access Memory, abbreviation RAM), magnetic disc or CD etc..
Computer-readable recording medium in the embodiment of the present invention, can utilize trained indicating mode identification mould in advance Type, and the currently used scene based on mobile terminal, automatically identify the target to match with the current usage scenario and remind mould Formula, then the indicating mode of mobile terminal is switched into the target indicating mode, the intelligence of indicating mode switching is realized, is avoided Because user forget manual switching and caused by unnecessary trouble, so as to improve user experience.
It should be understood by those skilled in the art that, the embodiment of the present invention can be provided as method, system or computer program Product.Therefore, the present invention can use the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware Apply the form of example.Moreover, the present invention can use the computer for wherein including computer usable program code in one or more The computer program production that usable storage medium is implemented on (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) The form of product.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram The combination of flow and/or square frame in journey and/or square frame and flowchart and/or the block diagram.These computer programs can be provided The processors of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices, which produces, to be used in fact The device for the function of being specified in present one flow of flow chart or one square frame of multiple flows and/or block diagram or multiple square frames.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one The step of function of being specified in a square frame or multiple square frames.
In a typical configuration, computing device includes one or more processors (CPU), input/output interface, net Network interface and memory.
Memory may include computer-readable medium in volatile memory, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only storage (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method Or technology come realize information store.Information can be computer-readable instruction, data structure, the module of program or other data. The example of the storage medium of computer includes, but are not limited to phase transition internal memory (PRAM), static RAM (SRAM), moves State random access memory (DRAM), other kinds of random access memory (RAM), read-only storage (ROM), electric erasable Programmable read only memory (EEPROM), fast flash memory bank or other memory techniques, read-only optical disc read-only storage (CD-ROM), Digital versatile disc (DVD) or other optical storages, magnetic cassette tape, the storage of tape magnetic rigid disk or other magnetic storage apparatus Or any other non-transmission medium, the information that can be accessed by a computing device available for storage.Define, calculate according to herein Machine computer-readable recording medium does not include temporary computer readable media (transitory media), such as data-signal and carrier wave of modulation.
It is understood that the embodiment of the present invention description these embodiments can use hardware, software, firmware, middleware, Microcode or its combination are realized.For hardware realization, processing unit can be realized in one or more application-specific integrated circuits (ApplicationSpecificIntegratedCircuits, ASIC), digital signal processor (DigitalSignalProcessing, DSP), digital signal processing appts (DSPDevice, DSPD), programmable logic device (ProgrammableLogicDevice, PLD), field programmable gate array (Field-ProgrammableGateArray, FPGA), general processor, controller, microcontroller, microprocessor, other electronics lists for performing function of the present invention In member or its combination.
For software realize, can by perform the module (such as process, function etc.) of function described in the embodiment of the present invention come Realize the technology described in the embodiment of the present invention.Software code is storable in memory and is performed by processor.Memory can With portion realizes within a processor or outside the processor.
It should also be noted that, herein, term " comprising ", "comprising" or its any other variant are intended to non- It is exclusive to include, so that process, method, commodity or equipment including a series of elements not only include those key elements, But also including other elements that are not explicitly listed, or further include solid by this process, method, commodity or equipment Some key elements.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including Also there are other identical element in the process of the key element, method, commodity or equipment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases The former is more preferably embodiment.Based on such understanding, technical scheme substantially in other words does the prior art Going out the part of contribution can be embodied in the form of software product, which is stored in a storage medium In (such as ROM/RAM, magnetic disc, CD), including some instructions are used so that a station terminal (can be mobile phone, computer, services Device, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The embodiment of the present invention is described above in conjunction with attached drawing, but the invention is not limited in above-mentioned specific Embodiment, above-mentioned embodiment is only schematical, rather than restricted, those of ordinary skill in the art Under the enlightenment of the present invention, in the case of present inventive concept and scope of the claimed protection is not departed from, the present invention can have Various modifications and variations.All any modification, equivalent replacement, improvement and so within spirit and principles of the present invention, should all Within scope of the presently claimed invention.

Claims (20)

  1. A kind of 1. indicating mode switching method, applied to mobile terminal, it is characterised in that the described method includes：
    The currently used scene of the mobile terminal is obtained, wherein, the currently used scene includes at least：Temporal information and position Confidence ceases；
    Obtain using indicating mode identification model and the identification that indicating mode identifies is carried out based on the currently used scene As a result, wherein, the indicating mode identification model advances with what deep learning method was trained for cloud server；
    According to the recognition result, it is determined whether need to carry out the indicating mode switching of the mobile terminal；
    If so, the indicating mode of the mobile terminal is then switched into target indicating mode.
  2. 2. according to the method described in claim 1, it is characterized in that, described obtain using indicating mode identification model and be based on institute State currently used scene and carry out the recognition result that indicating mode identifies, including：
    Judge whether the mobile terminal is in networking state；
    If so, then sending the currently used scene to cloud server, and receive the identification that the cloud server is sent As a result, the recognition result is reminded for cloud server using indicating mode identification model and based on the currently used scene The recognition result that pattern-recognition obtains；
    If it is not, then obtaining the indicating mode identification model to prestore, and the indicating mode identification model is utilized, based on described current Usage scenario carries out indicating mode identification, obtains corresponding recognition result.
  3. 3. according to the method described in claim 1, it is characterized in that, the recognition result is included under the currently used scene The corresponding recommendation probability of each indicating mode；
    It is described according to the recognition result, it is determined whether need to carry out the indicating mode switching of the mobile terminal, including：
    According to the corresponding recommendation probability of each indicating mode, determine to remind mould with the target that the currently used scene matches Formula；
    Whether the current indicating mode for judging the mobile terminal is the target indicating mode；
    If not, it is determined that need to carry out the indicating mode switching of the mobile terminal.
  4. 4. according to the method described in claim 3, it is characterized in that, the indicating mode by the mobile terminal switches to mesh Indicating mode is marked, including：
    Judge the confirmation message that user is directed to the first prompt message whether is received in preset time, wherein, described first carries It is for prompting user to confirm to switch to the information of target indicating mode to show information；
    If not receiving, according to the corresponding recommendation probability of each indicating mode, judge whether to need pressure to switch to target Indicating mode；
    If desired switching is forced, then forces the indicating mode of the mobile terminal to switch to target indicating mode.
  5. 5. according to the method described in claim 4, it is characterized in that, the indicating mode by the mobile terminal forces switching To target indicating mode, further include：
    Generation is used for the second prompt message for prompting user's selection for this pressure switching whether satisfied；
    Judge whether that receive user is satisfied with option for second prompt message；
    If so, then using the correspondence between the currently used scene and the target indicating mode as model training sample This；
    If not and the target indicating mode of user's selection is received, then the mesh selected the currently used scene and user The correspondence between indicating mode is marked as model training sample；
    The model training sample is sent to cloud server.
  6. A kind of 6. indicating mode switching method, applied to cloud server, it is characterised in that the described method includes：
    The currently used scene that mobile terminal is sent is received, wherein, the currently used scene includes at least：Temporal information and position Confidence ceases；
    Indicating mode identification model corresponding with the mobile terminal is obtained, wherein, the indicating mode identification model is high in the clouds Server advances with what deep learning method was trained；
    Using the indicating mode identification model, indicating mode identification is carried out based on the currently used scene, is obtained corresponding Recognition result；
    The recognition result is sent to the mobile terminal.
  7. 7. according to the method described in claim 6, it is characterized in that, described carry out indicating mode based on the currently used scene Identification, obtains corresponding recognition result, including：
    Indicating mode identification is carried out based on the currently used scene, determines each indicating mode pair under the currently used scene The recommendation probability answered.
  8. 8. according to the method described in claim 6, it is characterized in that, the method further includes：
    Receive the model training sample that the mobile terminal is sent；
    According to the model training sample received, training sample set corresponding with the mobile terminal is updated.
  9. 9. according to the method described in claim 6, it is characterized in that, the method further includes：
    If it is determined that identification model has more new version or receives the identification model transmission request of mobile terminal, then carried described Awake pattern recognition model is sent to the corresponding mobile terminal.
  10. 10. according to claim 6 to 9 any one of them method, it is characterised in that the corresponding indicating mode of the mobile terminal Identification model is multiple, and each indicating mode identification model corresponds to a user identity type；
    It is described to obtain corresponding with mobile terminal indicating mode identification model, including：
    Obtain the current user identities type of the mobile terminal；
    In the corresponding multiple indicating mode identification models of the mobile terminal, choose corresponding with the current user identities type Indicating mode identification model.
  11. A kind of 11. mobile terminal, it is characterised in that including：
    Usage scenario acquisition module, for obtaining the currently used scene of the mobile terminal, wherein, the currently used scene Include at least：Temporal information and positional information；
    Recognition result acquisition module, for obtaining using indicating mode identification model and being carried based on the currently used scene The recognition result that awake pattern-recognition obtains, wherein, the indicating mode identification model advances with depth for cloud server What learning method was trained；
    Pattern switching judgment module, for according to the recognition result, it is determined whether need to carry out the prompting of the mobile terminal Pattern switching；
    Indicating mode handover module, for if it is determined that needing to carry out pattern switching, then by the indicating mode of the mobile terminal Switch to target indicating mode.
  12. 12. mobile terminal according to claim 11, it is characterised in that the recognition result acquisition module, is specifically used for：
    Judge whether the mobile terminal is in networking state；
    If so, then sending the currently used scene to cloud server, and receive the identification that the cloud server is sent As a result, the recognition result is reminded for cloud server using indicating mode identification model and based on the currently used scene The recognition result that pattern-recognition obtains；
    If it is not, then obtaining the indicating mode identification model to prestore, and the indicating mode identification model is utilized, based on described current Usage scenario carries out indicating mode identification, obtains corresponding recognition result.
  13. 13. mobile terminal according to claim 11, it is characterised in that the recognition result is included in described currently used The corresponding recommendation probability of each indicating mode under scene；
    The pattern switching judgment module, is specifically used for：
    According to the corresponding recommendation probability of each indicating mode, determine to remind mould with the target that the currently used scene matches Formula；
    Whether the current indicating mode for judging the mobile terminal is the target indicating mode；
    If not, it is determined that need to carry out the indicating mode switching of the mobile terminal.
  14. 14. mobile terminal according to claim 13, it is characterised in that the indicating mode handover module, is specifically used for：
    Judge the confirmation message that user is directed to the first prompt message whether is received in preset time, wherein, described first carries It is for prompting user to confirm to switch to the information of target indicating mode to show information；
    If not receiving, according to the corresponding recommendation probability of each indicating mode, judge whether to need pressure to switch to target Indicating mode；
    If desired switching is forced, then forces the indicating mode of the mobile terminal to switch to target indicating mode.
  15. 15. mobile terminal according to claim 14, it is characterised in that the mobile terminal further includes：
    Second information generating module, for by the indicating mode of the mobile terminal force to switch to target indicating mode it Afterwards, generation is used for the second prompt message for prompting user's selection for this pressure switching whether satisfied；
    Judgment module whether user is satisfied with, it is anti-for the satisfaction of second prompt message for judging whether to receive user Feedback；
    Training sample logging modle, if the satisfactory feedback for receiving user, by the currently used scene and the mesh The correspondence between indicating mode is marked as model training sample；If the satisfactory feedback of user is not received and receives user The target indicating mode of selection, then by the correspondence between the currently used scene and the target indicating mode of user's selection Relation is as model training sample；
    Training sample sending module, for sending the model training sample to cloud server.
  16. A kind of 16. cloud server, it is characterised in that including：
    Usage scenario receiving module, for receiving the currently used scene of mobile terminal transmission, wherein, the currently used scene Include at least：Temporal information and positional information；
    Identification model acquisition module, for obtaining indicating mode identification model corresponding with the mobile terminal, wherein, it is described to carry Pattern recognition model of waking up advances with what deep learning method was trained for cloud server；
    Recognition result generation module, for utilizing the indicating mode identification model, is carried based on the currently used scene Awake pattern-recognition, obtains corresponding recognition result；
    Recognition result sending module, for sending the recognition result to the mobile terminal.
  17. 17. cloud server according to claim 16, it is characterised in that the recognition result generation module, it is specific to use In：
    Indicating mode identification is carried out based on the currently used scene, determines each indicating mode pair under the currently used scene The recommendation probability answered.
  18. 18. cloud server according to claim 16, it is characterised in that the cloud server further includes：
    Training sample receiving module, the model training sample sent for receiving the mobile terminal；
    Training sample set update module, for according to the model training sample received, renewal and the mobile terminal pair The training sample set answered.
  19. 19. cloud server according to claim 16, it is characterised in that the cloud server further includes：
    Identification model sending module, for if it is determined that identification model has more new version or receives the identification mould of mobile terminal Type sends request, then sends the indicating mode identification model to the corresponding mobile terminal.
  20. 20. according to claim 16 to 19 any one of them cloud server, it is characterised in that the mobile terminal is corresponding Indicating mode identification model is multiple, and each indicating mode identification model corresponds to a user identity type；
    The identification model acquisition module, is specifically used for：
    Obtain the current user identities type of the mobile terminal；
    In the corresponding multiple indicating mode identification models of the mobile terminal, choose corresponding with the current user identities type Indicating mode identification model.
CN201711120317.9A 2017-11-14 2017-11-14 A kind of indicating mode switching method and mobile terminal, cloud server Pending CN107920163A (en)

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