CN105049628A

CN105049628A - Method and device for controlling terminal driving mode

Info

Publication number: CN105049628A
Application number: CN201510462837.2A
Authority: CN
Inventors: 王斌; 王亚科; �田�浩
Original assignee: Xiaomi Inc
Current assignee: Beijing Xiaomi Technology Co Ltd; Xiaomi Inc
Priority date: 2015-07-31
Filing date: 2015-07-31
Publication date: 2015-11-11

Abstract

The embodiment of the invention provides a method and device for controlling a terminal driving mode. The method comprises the following steps: acquiring the movement speed of a wearable apparatus and the swing amplitude of the wearable apparatus, judging whether the movement speed is greater than a preset speed threshold value and judging whether the swing amplitude is greater than a preset angle threshold value; when the movement speed is greater than the speed threshold value, and the swing amplitude is greater than the angle threshold value, determining that a user of the wearable apparatus is in process of driving; while determining that the user is in process of driving, sending a control signal to a terminal connected with the wearable apparatus, wherein the control signal is used for controlling the terminal to start the driving mode. Through the adoption of the device disclosed by the invention, the problem that the user is disturbed by a phone call or a short message in the driving process since the driving mode at the terminal is not started before driving is solved, the driving mode can be started through the wearable apparatus under the condition that the driving mode at the terminal is not started, thereby avoiding the disturbance of the phone call and the short message in the driving process.

Description

The method and apparatus of control terminal driving model

Technical field

The disclosure relates to equipment control field, particularly relates to a kind of method and apparatus of control terminal driving model.

Background technology

In daily life, user is bothered by phone or note in driving procedure of being everlasting, if user receives calls or checks note in driving procedure, can affect driving safety, if but incoming call or note are not processed, important phone or note may be missed again.

Therefore, some mobile phones provide driving model for user, or also can be called driving pattern.After this driving model opened by mobile phone, voice broadcast service can be provided for user, as caller's name of voice broadcast incoming call, the information such as sender's name of note, the significance level helping user to understand phone or note to bother, in addition also may comprising other miscellaneous function, helping user not sent a telegram here or the bothering of note when driving.But a lot of user often can forget and arranges driving model before driving.

Summary of the invention

For overcoming Problems existing in correlation technique, the disclosure provides a kind of method and apparatus of control terminal driving model.

According to the first aspect of disclosure embodiment, provide a kind of method of control terminal driving model, the method comprises:

Obtain the translational speed of wearable device and the amplitude of fluctuation of described wearable device;

Judge whether described translational speed is greater than default threshold speed, judge whether described amplitude of fluctuation is greater than default angle threshold;

When described translational speed is greater than described threshold speed, and when described amplitude of fluctuation is greater than described angle threshold, determine that the user of described wearable device drives;

When determining that described user drives, transmit control signal to the terminal be connected with described wearable device, described control signal is used for described terminal and starts driving model.

Optionally, the translational speed of described acquisition wearable device and the amplitude of fluctuation of described wearable device, comprising:

Obtain the positional information of described wearable device in preset time period;

Described translational speed is obtained according to the positional information in described preset time period;

Obtain the action data of the described user that described wearable device collects;

Described amplitude of fluctuation is obtained according to described action data.

Optionally, be describedly greater than described threshold speed when described translational speed, and when described amplitude of fluctuation is greater than described angle threshold, determines that the user of described wearable device drives, comprising:

The position of described user in map is determined according to the positional information in described preset time period;

When determining that described user is arranged on the highway of described map, and described translational speed is greater than described threshold speed, when described amplitude of fluctuation is greater than described angle threshold, determines that described user drives.

According to the second aspect of disclosure embodiment, provide the method for another kind of control terminal driving model, described method comprises:

From wearable device reception control signal;

The translational speed of described wearable device and the amplitude of fluctuation of described wearable device is obtained according to described control signal;

When determining that described user drives, start driving model.

Optionally, describedly obtain the translational speed of described wearable device and the amplitude of fluctuation of described wearable device according to described control signal, comprising:

Obtain described translational speed and described amplitude of fluctuation that described control signal carries;

Described translational speed is that described wearable device obtains according to the positional information of described wearable device in preset time period, and described amplitude of fluctuation is that the action data of the described user that described wearable device collects according to described wearable device obtains.

Obtain the action data of the described user that positional information in preset time period of described wearable device that described control signal carries and described wearable device collect;

According to the third aspect of disclosure embodiment, provide a kind of device of control terminal driving model, described device comprises:

Acquisition module, is configured to obtain the translational speed of wearable device and the amplitude of fluctuation of described wearable device;

Judge module, is configured to judge whether described translational speed is greater than default threshold speed, judges whether described amplitude of fluctuation is greater than default angle threshold;

Determination module, is configured to be greater than described threshold speed when described translational speed, and when described amplitude of fluctuation is greater than described angle threshold, determines that the user of described wearable device drives;

Sending module, is configured to when determining that described user drives, and transmits control signal to the terminal be connected with described wearable device, and described control signal is used for described terminal and starts driving model.

Optionally, described acquisition module, comprising:

Locator module, is configured to obtain the positional information of described wearable device in preset time period;

Speed obtains submodule, is configured to obtain described translational speed according to the positional information in described preset time period;

Motion detection submodule, is configured to the action data obtaining the described user that described wearable device collects;

The amplitude of oscillation obtains submodule, is configured to obtain described amplitude of fluctuation according to described action data.

Optionally, described determination module is configured to:

According to the fourth aspect of disclosure embodiment, provide a kind of device of control terminal driving model, described device comprises:

Receiver module, is configured to from wearable device reception control signal;

Acquisition module, is configured to obtain the translational speed of described wearable device and the amplitude of fluctuation of described wearable device according to described control signal;

Starting module, being configured to when determining that described user drives, start driving model.

Optionally, described acquisition module is configured to:

Optionally, described determination module is configured to:

According to the 5th aspect of disclosure embodiment, provide a kind of device of control terminal driving model, described device comprises:

Processor;

For the memory of storage of processor executable instruction;

Wherein, described processor is configured to:

According to the 6th aspect of disclosure embodiment, provide a kind of device of control terminal driving model, described device comprises:

Processor;

For the memory of storage of processor executable instruction;

Wherein, described processor is configured to:

From wearable device reception control signal;

When determining that described user drives, start driving model.

The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:

By obtaining the translational speed of wearable device and the amplitude of fluctuation of this wearable device; Judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold; When this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives; When determining that this user drives, transmit control signal to the terminal be connected with this wearable device, this control signal is used for this terminal and starts driving model.The disclosure solves in correlation technique, the problem of being bothered by phone and short breath in the driving procedure that the driving model being not activated terminal due to user before driving causes, can when user be not activated the driving model of terminal, start this driving model by wearable device, thus can avoid driving and bothered by phone and short breath crossing in journey.

Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.

Accompanying drawing explanation

Accompanying drawing to be herein merged in specification and to form the part of this specification, shows and meets embodiment of the present disclosure, and is used from specification one and explains principle of the present disclosure.

Fig. 1 is the structural representation of a kind of implementation environment involved by each embodiment of the disclosure.

Fig. 2 is the flow chart of the method for a kind of control terminal driving model according to an exemplary embodiment.

Fig. 3 is the flow chart of the method for a kind of control terminal driving model according to an exemplary embodiment.

Fig. 4 A is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment.

Fig. 4 B is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment.

Fig. 5 is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment.

Fig. 6 is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment.

Fig. 7 is the block diagram of the device 700 of a kind of control terminal driving model according to an exemplary embodiment.

Fig. 8 A is the block diagram of the device 800 of another kind of control terminal driving model according to an exemplary embodiment.

Fig. 8 B is the block diagram of a kind of acquisition module 810 shown in Fig. 8 A illustrated embodiment.

The block diagram of the device 900 of the another kind of control terminal driving model of Fig. 9 according to an exemplary embodiment.

The block diagram of the device 1000 of the another kind of control terminal driving model of Figure 10 according to an exemplary embodiment.

Figure 11 is the block diagram of the device 1100 of a kind of control terminal driving model according to an exemplary embodiment.

Figure 12 is the block diagram of the device 1200 of a kind of control terminal driving model according to an exemplary embodiment.

Embodiment

Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Execution mode described in following exemplary embodiment does not represent all execution modes consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.

Before the method introducing the control terminal driving model that the disclosure provides, be first introduced application scenarios involved by the disclosure, Fig. 1 is the structural representation of a kind of implementation environment involved by each embodiment of the disclosure.This implementation environment can comprise: wearable device, the terminal be connected with this wearable device, see Fig. 1, this wearable device can be wearable device 120, this terminal can be terminal 140, this wearable device 120 is worn on (in figure, 1 is worn on wrist place) on the arm of user, and this user drives a car.This wearable device 120 with 140 can to wirelessly or wired mode be connected, in Fig. 1, wearable device 120 adopts wireless mode to be connected with terminal 140.Wherein, this wireless mode comprises: bluetooth, Wi-Fi (WirelessFidelity, Wireless Fidelity), NFC (NearFieldCommunication, wireless near field communication) etc.

Wearable device can be the wearable device with wireless transmission function, this wearable device can be provided with locating module and acceleration transducer, this locating module can support following at least one global position system: GPS (GlobalPositioningSystem, global positioning system), BDS (BeiDouNavigationSatelliteSystem, Beidou satellite navigation system), GLONASS (GlobalNavigationSatelliteSystem, GPS (Global Position System)) and galileo satellite navigation system (Galileo) etc.This acceleration transducer can be 3-axis acceleration sensor or gyroscope.Illustratively, this wearable device can be the equipment that Intelligent bracelet, intelligent watch etc. can be worn on user's hand or arm.

Terminal 140 can be the electronic equipment with call, messaging function, and this electronic equipment can be smart mobile phone, panel computer, intelligent watch, PDA (PersonalDigitalAssistant, personal digital assistant) etc.

Fig. 2 is the flow chart of the method for a kind of control terminal driving model according to an exemplary embodiment, the present embodiment is applied to wearable device to illustrate with the method for this control terminal driving model, wherein, this wearable device can for the wearable device 120 in implementation environment shown in Fig. 2.See Fig. 2, the method for this control terminal driving model can comprise following several step:

In step s 201, the translational speed of wearable device and the amplitude of fluctuation of this wearable device is obtained.

In step S202, judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold.

In step S203, when this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives.

In step S204, when determining that this user drives, transmit control signal to the terminal be connected with this wearable device, this control signal is used for this terminal and starts driving model.

In sum, the method for a kind of control terminal driving model that disclosure embodiment provides, by obtaining the translational speed of wearable device and the amplitude of fluctuation of this wearable device; Judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold; When this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives; When determining that this user drives, transmit control signal to the terminal be connected with this wearable device, this control signal is used for this terminal and starts driving model.The disclosure solves in correlation technique, the problem of being bothered by phone and short breath in the driving procedure that the driving model being not activated terminal due to user before driving causes, can when user be not activated the driving model of terminal, start this driving model by wearable device, thus can avoid driving and bothered by phone and short breath crossing in journey.

Fig. 3 is the flow chart of the method for a kind of control terminal driving model according to an exemplary embodiment, the present embodiment is applied to terminal to illustrate with the method for this control terminal driving model, wherein, this terminal can for the terminal 140 in implementation environment shown in Fig. 3.See Fig. 3, the method for this control terminal driving model can comprise following several step:

In step 301, from wearable device reception control signal.

In step 302, the translational speed of this wearable device and the amplitude of fluctuation of this wearable device is obtained according to this control signal.

In step 303, judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold.

In step 304, when this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives.

In step 305, when determining that this user drives, start driving model.

In sum, the method for a kind of control terminal driving model that disclosure embodiment provides, by from wearable device reception control signal; The translational speed of this wearable device and the amplitude of fluctuation of this wearable device is obtained according to this control signal; Judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold; When this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives; When determining that this user drives, start driving model.The disclosure solves in correlation technique, the problem of being bothered by phone and short breath in the driving procedure that the driving model being not activated terminal due to user before driving causes, can when user be not activated the driving model of terminal, start this driving model by wearable device, thus can avoid driving and bothered by phone and short breath crossing in journey.

Fig. 4 A is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment, and the present embodiment is applied to the implementation environment shown in Fig. 1 to illustrate with the method for this control terminal driving model, wherein.See Fig. 4 A, the method for this control terminal driving model can comprise following several step:

In step 401a, wearable device obtains the positional information of this wearable device in preset time period.

This wearable device can be the wearable device 120 in the implementation environment shown in Fig. 1, this positional information can be the longitude and latitude of this wearable device, the longitude and latitude of this wearable device can be obtained by the locating module in wearable device, this locating module can be GPS module, illustratively, obtain the positional information of this wearable device in preset time period can comprise:

First, the first longitude and latitude of this wearable device can be obtained at the start time point of this preset time period; Secondly, the second longitude and latitude of this wearable device can be obtained at the end time point of this preset time period.

Wherein, the length of this preset time period can be arranged according to actual needs, and disclosure embodiment does not limit.Illustratively, all longitude and latitude can be obtained because GPS module is usually per second, therefore, this preset time period can be the time period between current second and upper one second, thus this first longitude and latitude can be the longitude and latitude that wearable device obtained at upper a second, the second longitude and latitude can be the longitude and latitude that this wearable device obtained in current second.

Or, in another kind of implementation, the longitude and latitude of the multiple time points of wearable device in this preset time period can be obtained.Such as, this preset time period can be 5 seconds, and the longitude and latitude obtaining multiple time point in this preset time period can comprise: obtain the longitude and latitude of this wearable device in these 5 seconds in each second.

In step 402a, wearable device obtains the translational speed of this wearable device according to the positional information in this preset time period.

Illustratively, in the first implementation, according to the first longitude and latitude obtained in step 402 and the second longitude and latitude, the location variation of wearable device in this preset time period (the distance absolute value between the first longitude and latitude and the second longitude and latitude) can be calculated, just can calculate the translational speed of this wearable device according to the duration of this location variation and this preset time period.

Or, in the second implementation, if what obtain in step 402 is the longitude and latitude of the multiple time points of wearable device in this preset time period, then can adopt the method in the first implementation above-mentioned, the speed of wearable device within these adjacent two time point determined time periods is gone out according to the calculation of longitude & latitude of arbitrary neighborhood two time points in the plurality of time point, thus multiple speed can be obtained, then calculate average speed according to the plurality of speedometer, using the translational speed of this average speed as this wearable device.

In step 403a, wearable device obtains the action data of this wearable device.

Illustratively, this action data can be that wearable device can utilize its built-in 3-axis acceleration sensor to obtain the variable quantity of the 3-axis acceleration of this wearable device from setting in motion to movement ceases, or also can be the variable quantity of the angular acceleration that wearable device can utilize its built-in gyroscope to obtain.

In step 404a, wearable device obtains the amplitude of fluctuation of this wearable device according to this action data.

Wearable device is according to the variable quantity of this 3-axis acceleration obtained in step 403a, or the variable quantity of angular acceleration just can calculate the amplitude of fluctuation of wearable device, because this wearable device is worn on the arm of user, therefore can think that this amplitude of fluctuation is the amplitude of fluctuation of this user's arm.

In step 405a, according to this translational speed and this amplitude of fluctuation, this wearable device judges whether the user of this wearable device drives.

Illustratively, can judge whether this translational speed is greater than default threshold speed, and judge whether this amplitude of fluctuation is greater than default angle threshold.

When this translational speed is greater than default threshold speed, and when this amplitude of fluctuation is greater than default angle threshold, determine that the user of this wearable device drives.

Optionally, when judging that the user of this wearable device drives, wearable device can obtain map, this map is the off-line map be stored in advance on wearable device, also can be the map that wearable device obtains from connected terminal, this terminal can be the terminal 140 in the implementation environment shown in Fig. 1.

Then the position of the user of this wearable device in map can be determined according to the positional information of this wearable device of the acquisition in step 401a.

When determining on the highway of this user in map, judge whether the user of this wearable device drives according to this translational speed and this amplitude of fluctuation.If when on the highway in user's map, this translational speed is greater than default threshold speed, and this amplitude of fluctuation is also greater than default angle threshold, then can determine that the user of this wearable device drives.

Certainly, also first can judge whether this translational speed is greater than default threshold speed, whether this amplitude of fluctuation is greater than default angle threshold, when this translational speed is greater than default threshold speed, and this amplitude of fluctuation is when being greater than default angle threshold, judge, on the highway of this user whether in map, when determining on the highway of this user in map, can determine that the user of this wearable device drives according to preceding method again.

When determining that the user of this wearable device drives, performing step 406a, otherwise re-executing step 401a.

In step 406a, wearable device is used to indicate the user of this wearable device just at Driving control signal to the transmission of this terminal.

When wearable device determines that its user drives, to the terminal be connected with this wearable device send be used to indicate this wearable device user just at Driving control signal, or this control signal also can be that this terminal of instruction opens the instruction of driving model.Illustratively, this control signal can be sent by wireless transport modules such as the bluetooth module of this wearable device, Wi-Fi module or NFC module to this terminal.

In step 407a, terminal starts this driving model according to this control signal.

It is worth mentioning that in addition, step 401a ~ step 402a, and there is no fixing execution sequence between step 403a ~ step 404a, can first perform step 401a ~ step 402a, also step 403a ~ step 404a can first be performed, or step 401a ~ step 402a can be performed, with step 403a ~ step 404a simultaneously.

Fig. 4 B is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment, wherein.See Fig. 4 B, the method for this control terminal driving model can comprise following several step:

In step 401b, wearable device obtains the positional information of this wearable device in preset time period.

This wearable device can be the wearable device 120 in implementation environment shown in Fig. 1, in the present embodiment, to obtain the method flow of the positional information of this wearable device in preset time period identical with step 401a for this wearable device, see step 401a, can repeat no more.

In step 402b, wearable device obtains the translational speed of this wearable device according to the positional information in this preset time period.

In the present embodiment, obtain the method flow of the translational speed of this wearable device according to the positional information in this preset time period identical with step 402a for this wearable device, see step 402a, can repeat no more.

In step 403b, wearable device judges whether this translational speed is greater than default threshold speed.When this translational speed is greater than this threshold speed, performs step 404b, otherwise re-execute step 401b.

In step 404b, wearable device obtains the action data of this wearable device.

In the present embodiment, to obtain the method flow of the action data of this wearable device identical with step 403a for wearable device, see step 403a, can repeat no more.

In step 405b, wearable device obtains the amplitude of fluctuation of this wearable device according to this action data.

In the present embodiment, obtain the method flow of the amplitude of fluctuation of this wearable device according to this action data identical with step 404a for wearable device, see step 404a, can repeat no more.

In step 406b, wearable device judges whether this amplitude of fluctuation is greater than default angle threshold.When this amplitude of fluctuation is greater than default angle threshold, performs step 407b, otherwise re-execute step 401b.

Optionally, when judging that the user of this wearable device drives, wearable device can obtain map, and this map is the off-line map be stored in advance on wearable device, also can be the map that wearable device obtains from connected terminal.

Then the position of the user of this wearable device in map can be determined according to the positional information of this wearable device of the acquisition in step 401b.

When this amplitude of fluctuation is greater than default angle threshold, and when determining on the highway of this user in map, perform step 407b.

In step 407b, wearable device determines that the user of this wearable device drives.

In step 408b, wearable device is used to indicate the user of this wearable device just at Driving control signal to terminal transmission.

This terminal can be the terminal 140 in the implementation environment shown in Fig. 1, and the method flow that transmits control signal to terminal of wearable device is identical with step 406a in the present embodiment, see step 406a, can repeat no more.

In step 409b, terminal starts this driving model according to this control signal.

Or, in another kind of implementation, also can first perform in step 404b and step 405b, when this amplitude of fluctuation is greater than default angle threshold, perform again step 401b and step 402b again, when this translational speed is greater than this threshold speed, perform step 406b ~ 408b.Optionally, in this implementation, in step 402b, also in conjunction with map, when this translational speed is greater than this threshold speed, and when determining on the highway of this user in map, step 406b ~ 408b can be performed.

Fig. 5 is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment, and the present embodiment is applied to the implementation environment shown in Fig. 1 to illustrate with the method for this control terminal driving model, wherein.See Fig. 5, the method for this control terminal driving model can comprise following several step:

In step 501, wearable device obtains the positional information of this wearable device in preset time period.

In step 502, wearable device obtains the translational speed of this wearable device according to the positional information in this preset time period.

In the present embodiment, to obtain the method flow of the positional information of this wearable device in preset time period identical with step 402a for this wearable device, see step 402a, can repeat no more.

In step 503, wearable device obtains the action data of this wearable device.

In step 504, wearable device obtains the amplitude of fluctuation of this wearable device according to this action data.

In step 505, wearable device generates the control signal of carrying this translational speed and this amplitude of fluctuation.

In step 506, wearable device sends this control signal to terminal.Wherein, this terminal can be the terminal 140 in the implementation environment shown in Fig. 1.

In step 507, according to this translational speed and this amplitude of fluctuation, terminal judges whether the user of this wearable device drives.

Optionally, when judging that the user of this wearable device drives, terminal can obtain map, and this map is the off-line map be stored in advance in terminal, also can be the map of this terminal by Network Capture, this terminal can be the terminal 140 in the implementation environment shown in Fig. 1.

Then the position of the user of this wearable device in map can be determined according to the positional information of this wearable device of the acquisition in step 501.

When determining on the highway of this user in map, according to this translational speed and this amplitude of fluctuation, terminal judges whether the user of this wearable device drives.If when on the highway in user's map, this translational speed is greater than default threshold speed, and this amplitude of fluctuation is also greater than default angle threshold, then can determine that the user of this wearable device drives.

When determining that the user of this wearable device drives, performing step 508, otherwise re-executing step 501.

In step 508, terminal starts this driving model.

Fig. 6 is the flow chart of the method for a kind of control terminal driving model according to another exemplary embodiment, and the present embodiment is applied to the implementation environment shown in Fig. 1 to illustrate with the method for this control terminal driving model, wherein.See Fig. 6, the method for this control terminal driving model can comprise following several step:

In step 601, wearable device obtains the positional information of this wearable device in preset time period.

In step 602, wearable device obtains the action data of this wearable device.

In step 603, wearable device generates the control signal of carrying positional information in this preset time period and this action data.

In step 604, wearable device sends this control signal to this terminal.Wherein, this terminal can be the terminal 140 in implementation environment shown in Fig. 1.

In step 605, terminal obtains the translational speed of this wearable device according to the positional information in this preset time period.

In the present embodiment this can terminal obtain the method flow of the translational speed of this wearable device according to the positional information in this preset time period identical with step 402a, see step 402a, can repeat no more.

In step 606, terminal obtains the amplitude of fluctuation of this wearable device according to this action data.

In the present embodiment, obtain the method flow of the amplitude of fluctuation of this wearable device according to this action data identical with step 404a for terminal, see step 404a, can repeat no more.

In step 607, according to this translational speed and this amplitude of fluctuation, terminal judges whether the user of this wearable device drives.

In the present embodiment, according to this translational speed and this amplitude of fluctuation, terminal judges that the method flow whether user of this wearable device is driving is identical with step 507, see step 402a, can repeat no more.

When determining that the user of this wearable device drives, performing step 608, otherwise re-executing step 601.

In step 608, terminal starts this driving model.

Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.For the details do not disclosed in disclosure device embodiment, please refer to disclosure embodiment of the method.

Fig. 7 is the block diagram of the device 700 of a kind of control terminal driving model according to an exemplary embodiment, the device 700 of this control terminal driving model can realize becoming the some or all of of wearable device by software, hardware or both combinations, and this wearable device can for the wearable device 120 in implementation environment shown in Fig. 1.See Fig. 7, the device 700 of this control terminal driving model can comprise:

Acquisition module 710, is configured to obtain the translational speed of wearable device and the amplitude of fluctuation of this wearable device.

Judge module 720, is configured to judge whether this translational speed is greater than default threshold speed, judges whether described amplitude of fluctuation is greater than default angle threshold.

Determination module 730, is configured to be greater than this threshold speed when this translational speed, and when this amplitude of fluctuation is greater than this angle threshold, determines that the user of this wearable device drives.

Sending module 740, is configured to when determining that this user drives, and transmits control signal to the terminal be connected with this wearable device, and this control signal is used for this terminal and starts driving model.

In sum, the device of a kind of control terminal driving model that disclosure embodiment provides, by obtaining the translational speed of wearable device and the amplitude of fluctuation of this wearable device; Judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold; When this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives; When determining that this user drives, transmit control signal to the terminal be connected with this wearable device, this control signal is used for this terminal and starts driving model.The disclosure solves in correlation technique, the problem of being bothered by phone and short breath in the driving procedure that the driving model being not activated terminal due to user before driving causes, can when user be not activated the driving model of terminal, start this driving model by wearable device, thus can avoid driving and bothered by phone and short breath crossing in journey.

Fig. 8 A is the block diagram of the device 800 of another kind of control terminal driving model according to an exemplary embodiment, the device 800 of this control terminal driving model can realize becoming the some or all of of wearable device by software, hardware or both combinations, and this wearable device can for the wearable device 120 in implementation environment shown in Fig. 1.See Fig. 8 A, the device 800 of this control terminal driving model can comprise:

Acquisition module 810, is configured to obtain the translational speed of wearable device and the amplitude of fluctuation of this wearable device.

Judge module 820, is configured to judge whether this translational speed is greater than default threshold speed, judges whether described amplitude of fluctuation is greater than default angle threshold.

Determination module 830, is configured to be greater than this threshold speed when this translational speed, and when this amplitude of fluctuation is greater than this angle threshold, determines that the user of this wearable device drives.

Sending module 840, is configured to when determining that this user drives, and transmits control signal to the terminal be connected with this wearable device, and this control signal is used for this terminal and starts driving model.

Optionally, Fig. 8 B is the block diagram of a kind of acquisition module 810 shown in Fig. 8 A illustrated embodiment, and see Fig. 8 B, this acquisition module 810, comprising:

Locator module 811, is configured to obtain the positional information of this wearable device in preset time period.

Speed obtains submodule 812, is configured to obtain this translational speed according to the positional information in this preset time period.

Motion detection submodule 813, is configured to the action data obtaining this user that this wearable device collects.

The amplitude of oscillation obtains submodule 814, is configured to obtain this amplitude of fluctuation according to this action data.

Optionally, this determination module 830 is configured to:

The position of this user in map is determined according to the positional information in this preset time period.

When determining that this user is arranged on the highway of this map, and this translational speed is greater than this threshold speed, when this amplitude of fluctuation is greater than this angle threshold, determines that this user drives.

The block diagram of the device 900 of the another kind of control terminal driving model of Fig. 9 according to an exemplary embodiment, the device 900 of this control terminal driving model can realize becoming the some or all of of terminal by software, hardware or both combinations, and this terminal can for the terminal 140 in implementation environment shown in Fig. 1.See Fig. 9, the device 900 of this control terminal driving model can comprise:

Receiver module 910, is configured to from wearable device reception control signal.

Acquisition module 920, is configured to obtain the translational speed of this wearable device and the amplitude of fluctuation of this wearable device according to this control signal.

Judge module 930, is configured to judge whether this translational speed is greater than default threshold speed, judges whether this amplitude of fluctuation is greater than default angle threshold.

Determination module 940, is configured to be greater than this threshold speed when this translational speed, and when this amplitude of fluctuation is greater than this angle threshold, determines that the user of this wearable device drives.

Starting module 950, being configured to when determining that this user drives, start driving model.

In sum, the device of a kind of control terminal driving model that disclosure embodiment provides, by from wearable device reception control signal; The translational speed of this wearable device and the amplitude of fluctuation of this wearable device is obtained according to this control signal; Judge whether this translational speed is greater than default threshold speed, judge whether this amplitude of fluctuation is greater than default angle threshold; When this translational speed is greater than this threshold speed, and when this amplitude of fluctuation is greater than this angle threshold, determine that the user of this wearable device drives; When determining that this user drives, start driving model.The disclosure solves in correlation technique, the problem of being bothered by phone and short breath in the driving procedure that the driving model being not activated terminal due to user before driving causes, can when user be not activated the driving model of terminal, start this driving model by wearable device, thus can avoid driving and bothered by phone and short breath crossing in journey.

The block diagram of the device 1000 of the another kind of control terminal driving model of Figure 10 according to an exemplary embodiment, the device 1000 of this control terminal driving model can realize becoming the some or all of of terminal by software, hardware or both combinations, and this terminal can for the terminal 140 in implementation environment shown in Fig. 1.See Figure 10, the device 1000 of this control terminal driving model can comprise:

Receiver module 1010, is configured to from wearable device reception control signal.

Acquisition module 1020, is configured to obtain the translational speed of this wearable device and the amplitude of fluctuation of this wearable device according to this control signal.

Judge module 1030, is configured to judge whether this translational speed is greater than default threshold speed, judges whether this amplitude of fluctuation is greater than default angle threshold.

Determination module 1040, is configured to be greater than this threshold speed when this translational speed, and when this amplitude of fluctuation is greater than this angle threshold, determines that the user of this wearable device drives.

Starting module 1050, being configured to when determining that this user drives, start driving model.

Optionally, this acquisition module is configured to by 1020:

Obtain this translational speed and this amplitude of fluctuation that this control signal carries.

This translational speed is that this wearable device obtains according to the positional information of this wearable device in preset time period, and this amplitude of fluctuation is that the action data of this user that this wearable device collects according to this wearable device obtains.

Optionally, this acquisition module is configured to by 1020:

Obtain the action data of this user that positional information in preset time period of this wearable device that this control signal carries and this wearable device collect.

This translational speed is obtained according to the positional information in this preset time period.

This amplitude of fluctuation is obtained according to this action data.

Optionally, this determination module is configured to:

About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.

Figure 11 is the block diagram of the device 1100 of a kind of control terminal driving model according to an exemplary embodiment.Such as, device 1100 can be mobile phone, computer, digital broadcast terminal, messaging devices, game console, flat-panel devices, Medical Devices, body-building equipment, personal digital assistant etc.

With reference to Figure 11, device 1100 can comprise following one or more assembly: processing components 1102, memory 1104, electric power assembly 1106, multimedia groupware 1108, audio-frequency assembly 1110, the interface 1112 of I/O (I/O), sensor cluster 1114, and communications component 1116.

The integrated operation of the usual control device 1100 of processing components 1102, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 1102 can comprise one or more processor 1120 to perform instruction, with all or part of step of wearable device side in the method completing above-mentioned control terminal driving model.In addition, processing components 1102 can comprise one or more module, and what be convenient between processing components 1102 and other assemblies is mutual.Such as, processing components 1102 can comprise multi-media module, mutual with what facilitate between multimedia groupware 1108 and processing components 1102.

Memory 1104 is configured to store various types of data to be supported in the operation of device 1100.The example of these data comprises for any application program of operation on device 1100 or the instruction of method, contact data, telephone book data, message, picture, video etc.Memory 1104 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or CD.

The various assemblies that electric power assembly 1106 is device 1100 provide electric power.Electric power assembly 1106 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 1100 and be associated.

Multimedia groupware 1108 is included in the screen providing an output interface between described device 1100 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 1108 comprises a front-facing camera and/or post-positioned pick-up head.When device 1100 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.

Audio-frequency assembly 1110 is configured to export and/or input audio signal.Such as, audio-frequency assembly 1110 comprises a microphone (MIC), and when device 1100 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The audio signal received can be stored in memory 1104 further or be sent via communications component 1116.In certain embodiments, audio-frequency assembly 1110 also comprises a loud speaker, for output audio signal.

I/O interface 1112 is for providing interface between processing components 1102 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.

Sensor cluster 1114 comprises one or more transducer, for providing the state estimation of various aspects for device 1100.Such as, sensor cluster 1114 can detect the opening/closing state of device 1100, the relative positioning of assembly, such as described assembly is display and the keypad of device 1100, the position of all right checkout gear 1100 of sensor cluster 1114 or device 1100 assemblies changes, the presence or absence that user contacts with device 1100, the variations in temperature of device 1100 orientation or acceleration/deceleration and device 1100.Sensor cluster 1114 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor cluster 1114 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor cluster 1114 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.

Communications component 1116 is configured to the communication being convenient to wired or wireless mode between device 1100 and other equipment.Device 1100 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 1116 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 1116 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.

In the exemplary embodiment, device 1100 can be realized by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components, for perform above-mentioned control terminal driving model method in the method for wearable device side.

In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as comprise the memory 1104 of instruction, above-mentioned instruction can have been performed the method for wearable device side in the method for above-mentioned control terminal driving model by the processor 1120 of device 1100.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.

A kind of non-transitory computer-readable recording medium, when the instruction in this storage medium is performed by the processor of device 1100, makes device 1100 can perform a kind of method of control terminal driving model.

Figure 12 is the block diagram of the device 1200 of a kind of control terminal driving model according to an exemplary embodiment.Such as, device 1200 may be provided in a server.With reference to Figure 12, device 1200 comprises processing components 1222, and it comprises one or more processor further, and the memory resource representated by memory 1232, can such as, by the instruction of the execution of processing components 1222, application program for storing.The application program stored in memory 1232 can comprise each module corresponding to one group of instruction one or more.In addition, processing components 1222 is configured to perform instruction, with the method for terminal side in the method performing above-mentioned control terminal driving model.

Device 1200 can also comprise the power management that a power supply module 1226 is configured to final controlling element 1200, and a wired or wireless network interface 1250 is configured to device 1200 to be connected to network, and input and output (I/O) interface 1258.Device 1200 can operate the operating system based on being stored in memory 1232, such as WindowsServerTM, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM or similar.

Those skilled in the art, at consideration specification and after putting into practice the disclosure, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Specification and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.

Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.

Claims

1. a method for control terminal driving model, is characterized in that, described method comprises:

2. method according to claim 1, is characterized in that, the translational speed of described acquisition wearable device and the amplitude of fluctuation of described wearable device, comprising:

3. method according to claim 2, is characterized in that, is describedly greater than described threshold speed when described translational speed, and when described amplitude of fluctuation is greater than described angle threshold, determines that the user of described wearable device drives, comprising:

4. a method for control terminal driving model, is characterized in that, described method comprises:

From wearable device reception control signal;

When determining that described user drives, start driving model.

5. method according to claim 4, is characterized in that, describedly obtains the translational speed of described wearable device and the amplitude of fluctuation of described wearable device according to described control signal, comprising:

6. method according to claim 4, is characterized in that, describedly obtains the translational speed of described wearable device and the amplitude of fluctuation of described wearable device according to described control signal, comprising:

7. the method according to claim 5 or 6, is characterized in that, is describedly greater than described threshold speed when described translational speed, and when described amplitude of fluctuation is greater than described angle threshold, determines that the user of described wearable device drives, comprising:

8. a device for control terminal driving model, is characterized in that, described device comprises:

9. device according to claim 8, is characterized in that, described acquisition module, comprising:

10. device according to claim 11, is characterized in that, described determination module is configured to:

The device of 11. 1 kinds of control terminal driving models, is characterized in that, described device comprises:

12. devices according to claim 11, is characterized in that, described acquisition module is configured to:

13. devices according to claim 11, is characterized in that, described acquisition module is configured to:

14. devices according to claim 12 or 13, it is characterized in that, described determination module is configured to:

The device of 15. 1 kinds of control terminal driving models, is characterized in that, described device comprises:

Processor;

For the memory of storage of processor executable instruction;

Wherein, described processor is configured to:

The device of 16. 1 kinds of control terminal driving models, is characterized in that, described device comprises:

Processor;

For the memory of storage of processor executable instruction;

Wherein, described processor is configured to:

From wearable device reception control signal;

When determining that described user drives, start driving model.