CN105373227A - Method and device for intelligently closing electronic device - Google Patents
Method and device for intelligently closing electronic device Download PDFInfo
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- CN105373227A CN105373227A CN201510718044.2A CN201510718044A CN105373227A CN 105373227 A CN105373227 A CN 105373227A CN 201510718044 A CN201510718044 A CN 201510718044A CN 105373227 A CN105373227 A CN 105373227A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/26—Power supply means, e.g. regulation thereof
- G06F1/32—Means for saving power
- G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
- G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
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Abstract
The disclosure relates to a method and device for intelligently closing an electronic device. The method comprises the following steps of acquiring a motion parameter acquired by a wearable device; determining the change frequency of the motion parameter in a predetermined time frame; and sending a shutdown instruction to the electronic device when the change frequency of the motion parameter in the predetermined time frame is smaller than a first threshold value and the electronic device is in a power-on state. According to the disclosure, the motion parameter of a human body is acquired by the wearable device and the change frequency of the motion parameter in the predetermined time frame is determined to judge the frequency of user motion; when the change frequency of the motion parameter in the predetermined time frame is smaller than the first threshold value and the frequency of the user motion is very low, it is showed that a user is already in a sleep state; and if the electronic device is in the power-on state, the shutdown instruction is sent to the electronic device so that the electronic device is closed when the user is in the sleep state, therefore, electric quantity can be saved, and the disturbance of the electronic device to the user also can be prevented.
Description
Technical field
The present invention relates to communication technical field, in particular, relate to method and device that intelligence closes electronic equipment.
Background technology
A lot of electronic equipment all has the function of timing shutdown, to make this electronic equipment at the pre-set time automatic shutdown of user.But; a lot of user is when use electronic equipment; frequent meeting is because sleepy or tired and involuntary sleeping; do not have pre-set automatic shutdown on an electronic device; so electronic equipment can continue maintenance work after user is sleeping; so not only waste electric energy, and the sound that sends of electronic equipment or light may affect user and has a rest.
Such as, user's slowly sleeping when seeing intelligent television, user did not set timing shutdown before sleeping, so this intelligent television can work on after user is sleeping, not only waste electric energy, and the sound that sends of intelligent television and light can have influence on the rest of user.And for example, user listen to intelligent wireless time falling asleep slowly, user did not set timing shutdown before sleeping, so this intelligent radio can work on after user is sleeping, not only waste electric energy, and the sound that sends of intelligent radio can have influence on the rest of user.
Therefore, many times user can forget the automatic shut-off function using electronic equipment, the electricity of the deutomerite province electronic equipment consumption so the automatic shut-off function of electronic equipment just cannot be fallen asleep user; And after user is sleeping, the automatic shut-off function of electronic equipment also cannot avoid user to be subject to the interference of electronic equipment.
Summary of the invention
For overcoming Problems existing in correlation technique, the disclosure provides a kind of intelligence to close method and the device of electronic equipment, closes electronic equipment, to save electricity, and user can be avoided to be subject to the interference of electronic equipment when identifying user and falling asleep.
According to the first aspect of disclosure embodiment, provide a kind of intelligence to close the method for electronic equipment, comprising:
Obtain the kinematic parameter that wearable device gathers;
Determine the change frequency of described kinematic parameter in preset time period;
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
Optionally, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain current time;
Judge described current time whether within the very first time;
When described current time is within the described very first time, send shutdown command to described electronic equipment.
Optionally, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send the instruction reducing volume according to predetermined manner to described electronic equipment;
Obtain the current volume of described electronic equipment;
Judge whether the current volume of described electronic equipment is less than Second Threshold;
When the current volume of described electronic equipment is more than or equal to described Second Threshold, trigger the step of the current volume of the described electronic equipment of described acquisition;
When the current volume of described electronic equipment is less than described Second Threshold, send shutdown command to described electronic equipment.
Optionally, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain described wearable device gather hrv parameter;
Judge whether described hrv parameter is less than described 3rd threshold value;
When described hrv parameter is less than described 3rd threshold value, send shutdown command to described electronic equipment.
Optionally, described method also comprises:
In described preset time period the change frequency of described kinematic parameter be more than or equal to described first threshold and described electronic equipment is in closed condition time, obtain current time;
Judge described current time whether in the second time range;
When described current time is in described second time range, send start-up command to described electronic equipment.
According to the second aspect of disclosure embodiment, provide a kind of intelligence to close the device of electronic equipment, comprising:
First acquisition module, for obtaining the kinematic parameter that wearable device gathers;
Determination module, for determining the change frequency of described kinematic parameter in preset time period;
First sending module, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
Optionally, described first sending module comprises:
First obtain submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, obtain current time;
First judges submodule, for judging described current time whether within the very first time;
First sends submodule, for when described current time is within the described very first time, sends shutdown command to described electronic equipment.
Optionally, described first sending module comprises:
Second sends submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, send the instruction reducing volume according to predetermined manner to described electronic equipment;
Second obtains submodule, for obtaining the current volume of described electronic equipment;
Second judges submodule, for judging whether the current volume of described electronic equipment is less than Second Threshold;
Triggers module, when the current volume of described electronic equipment is more than or equal to described Second Threshold, triggers described second and obtains submodule;
3rd sends submodule, for when the current volume of described electronic equipment is less than described Second Threshold, sends shutdown command to described electronic equipment.
Optionally, described first sending module comprises:
3rd obtain submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, obtain described wearable device gather hrv parameter;
3rd judges submodule, for judging whether described hrv parameter is less than described 3rd threshold value;
4th sends submodule, for when described hrv parameter is less than described 3rd threshold value, sends shutdown command to described electronic equipment.
Optionally, described device also comprises:
Second acquisition module, the change frequency for kinematic parameter described in described preset time period be more than or equal to described first threshold and described electronic equipment is in closed condition time, obtain current time;
Judge module, for judging described current time whether in the second time range;
Second sending module, for when described current time is in described second time range, sends start-up command to described electronic equipment.
According to the third aspect of disclosure embodiment, provide a kind of intelligence to close the device of electronic equipment, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain the kinematic parameter that wearable device gathers;
Determine the change frequency of described kinematic parameter in preset time period;
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect: the disclosure gathers the kinematic parameter of user's body by wearable device, and determine the change frequency of kinematic parameter in preset time period, to judge the frequent degree of user movement, the change frequency of kinematic parameter is larger, illustrate that the frequent degree of user movement is larger, the change frequency of kinematic parameter is less, illustrates that the frequent degree of user movement is less.When in preset time period, the change frequency of this kinematic parameter is less than first threshold, the frequent degree of user movement is very little, illustrate that user is in sleep state, if electronic equipment is in open state, so just, send shutdown command to electronic equipment, to make user close electronic equipment in a sleep state, so not only can save electricity, and user can also be avoided to be subject to the interference of electronic equipment.
Should be understood that, it is only exemplary and explanatory that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows embodiment according to the invention, and is used from instructions one and explains principle of the present invention.
Fig. 1 is a kind of intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment.
Fig. 2 is the intelligent process flow diagram of closing the method for electronic equipment of another kind according to an exemplary embodiment.
Fig. 3 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment.
Fig. 4 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment.
Fig. 5 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment.
Fig. 6 is a kind of intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.
Fig. 7 is the intelligent schematic diagram of closing the device of electronic equipment of another kind according to an exemplary embodiment.
Fig. 8 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.
Fig. 9 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.
Figure 10 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.
Figure 11 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.
Figure 12 is a kind of intelligent block diagram of closing the device of electronic equipment according to an exemplary embodiment.
Figure 13 is another the intelligent block diagram of closing the device of electronic equipment according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the present invention.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 invention are consistent.
Fig. 1 is a kind of intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment, and as shown in Figure 1, the intelligence shown in Fig. 1 closes the method for electronic equipment, may be used in terminal.The method that the intelligence that the disclosure provides closes electronic equipment can close electronic equipment when identifying user and falling asleep, and to save electricity, and user can be avoided to be subject to the interference of electronic equipment.The method comprises the following steps.
In step s 11, the kinematic parameter that wearable device gathers is obtained.
Wherein, the method that the disclosure provides can be applied in terminal, and terminal both can be mobile terminal, also can be server.Mobile terminal can be the equipment such as smart mobile phone, panel computer or notebook computer, and server can be the equipment such as desktop computer or notebook computer.Electronic equipment can be able to be sounded or the equipment of light for intelligent television or intelligent radio etc.
Wearable device can for Intelligent bracelet or intelligent watch etc. be for gathering the equipment of the kinematic parameter of user.Kinematic parameter is the parameter for characterizing consumer motion state, and such as, kinematic parameter can be acceleration, and kinematic parameter also can be the parameters such as speed.
Wearable device, need between electronic equipment and terminal three to be connected by network.Wearable device, can be connected by internet between electronic equipment and terminal three, wearable device, also can be connected by LAN (Local Area Network) between electronic equipment and terminal three, wearable device, can also to be connected by bluetooth between electronic equipment and terminal three.
Such as, suppose that wearable device is Intelligent bracelet, Intelligent bracelet is worn in the wrist of user, and Intelligent bracelet is for gathering the kinematic parameter of user's wrist, and kinematic parameter is acceleration, and terminal is smart mobile phone, and electronic equipment is intelligent television.Intelligent bracelet, intelligent television and smart mobile phone are all connected to same LAN (Local Area Network).Intelligent bracelet can with the acceleration produced every the frequency collection user's wrist of a second, and smart mobile phone can obtain the acceleration that Intelligent bracelet gathers.
Certainly, wearable device, can be linked together by multiple connected mode between electronic equipment and terminal three.
Such as, suppose that wearable device is intelligent watch, intelligent watch is worn in the wrist of user, and intelligent watch is for gathering the kinematic parameter of user's wrist, and kinematic parameter is speed, and terminal is smart mobile phone, and electronic equipment is intelligent radio.Intelligent watch is connected by bluetooth with smart mobile phone, and smart mobile phone is connected by internet with intelligent radio.Intelligent watch can with the speed produced every the frequency collection user's wrist of two seconds, the speed that the acquisition intelligent watch that smart mobile phone can be real-time gathers.
And for example, suppose that wearable device is intelligent watch, intelligent watch is worn in the wrist of user, and intelligent watch is for gathering the kinematic parameter of user's wrist, and kinematic parameter is speed, and terminal is server, and electronic equipment is intelligent radio.Intelligent watch is connected by internet with server, and server is also connected by internet with intelligent radio.Intelligent watch can with the speed produced every the frequency collection user's wrist of two seconds, the speed that the acquisition intelligent watch that server can be real-time gathers.
In step s 12, the change frequency of kinematic parameter in preset time period is determined.
Wherein, preset time period refers to the time period preset, and such as, preset time period is set as 1 hour by user.Certainly, preset time period can set according to the demand of user.
The change frequency of kinematic parameter in preset time period, refers to kinematic parameter in a period of time and has changed how many times.Such as, suppose that wearable device is intelligent watch, intelligent watch is worn in the wrist of user, and intelligent watch is for gathering the kinematic parameter of user's wrist, and kinematic parameter is acceleration, and terminal is smart mobile phone, and electronic equipment is intelligent radio.Intelligent watch is connected by bluetooth with smart mobile phone, and smart mobile phone is connected by internet with intelligent radio.Intelligent watch can with the acceleration produced every the frequency collection user's wrist of a second.Smart mobile phone can be real-time acquisition intelligent watch gather acceleration, preset time period is redefined for 1 hour by user, so smart mobile phone can determine the change frequency of acceleration in 1 hour.
In user's sleep and when keeping health motionless, it is constant for being arranged on the kinematic parameter that the wearable device in user's wrist collects, and remains a numerical value.
Such as, suppose that wearable device is Intelligent bracelet, kinematic parameter is acceleration, when keeping health motionless in user's sleep, is arranged on the acceleration that the Intelligent bracelet in user's wrist collects and remains 9.8m/s
2, so acceleration is constant.
And for example, suppose that wearable device is Intelligent bracelet, kinematic parameter is speed, when keeping health motionless in user's sleep, is arranged on the speed that the Intelligent bracelet in user's wrist collects and remains 0m/s, so speed is constant.
But when user's sleep, user may be in health instinct and naturally stand up, in the process of so standing up user, being arranged on the kinematic parameter that the Intelligent bracelet in user's wrist collects can change along with the motion of user's wrist; After user stands up end and keeps health motionless, the kinematic parameter that Intelligent bracelet collects can keep again a numerical value.
Such as, suppose that wearable device is Intelligent bracelet, kinematic parameter is acceleration, when keeping health motionless in user's sleep, is arranged on the acceleration that the Intelligent bracelet in user's wrist collects and remains 9.8m/s
2; User be in health instinct naturally stand up time, the acceleration that Intelligent bracelet collects is 5m/s
2; After user stands up end and keeps health motionless, the acceleration that Intelligent bracelet collects can remain 9.8m/s again
2.User wrist by static to motion, acceleration is by 9.8m/s
2be changed to 5m/s
2, now, acceleration first time changes, and the change frequency of acceleration is 1 time; Static by moving in the wrist of user, acceleration is by 5m/s
2be changed to 9.8m/s
2, now, acceleration second time changes, and the change frequency of acceleration is 2 times, so the wrist of user is often moved once, the change frequency of acceleration is 2 times.
And for example, suppose that wearable device is Intelligent bracelet, kinematic parameter is speed, when keeping health motionless in user's sleep, is arranged on the speed that the Intelligent bracelet in user's wrist collects and remains 0m/s; User be in health instinct naturally stand up time, the speed that Intelligent bracelet collects is 3m/s; After user stands up end and keeps health motionless, the speed that Intelligent bracelet collects can remain 0m/s again.User wrist by static to motion, speed is changed to 3m/s by 0m/s, and now, speed regulation once changes, and the change frequency of speed is 1 time; Static by moving in the wrist of user, speed is changed to 0m/s by 3m/s, and now, speed regulation secondary changes, and the change frequency of speed is 2 times, so the wrist of user is often moved once, the change frequency of speed is 2 times.
Preset time period be preset and the real-time acquisition wearable device of terminal gather kinematic parameter time, terminal just can determine the change frequency of kinematic parameter in preset time period.
Such as, suppose that kinematic parameter is acceleration, preset time period is redefined for 10 minutes, the acceleration of the acquisition wearable device collection that terminal is real-time in 10 minutes.Suppose in these 10 minutes, acceleration only there occurs change the 3rd point and 25 seconds time, was 5m/s at 3 points of 25 seconds brief accelerations
2, the acceleration of all the other times in these 10 minutes is acceleration of gravity 9.8m/s
2, so terminal just can determine that acceleration is by 9.8m/s in 10 minutes
2be changed to 5m/s
2, and acceleration is by 5m/s
2be changed to 9.8m/s
2, so terminal can determine that the change frequency of acceleration is 2 times.
In step s 13, in preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
Wherein, first threshold is the value that user presets, and user can in conjunction with the situation sets itself first threshold of self.Such as, first threshold can be set as 10 times by user.
After terminal determines the change frequency of kinematic parameter in preset time period, terminal just needs the change frequency judging kinematic parameter in preset time period whether to be less than first threshold, and whether electronic equipment is in open state.When terminal to determine in preset time period that the change frequency of kinematic parameter is less than first threshold and electronic equipment is in open state, illustrate that user has slept and electronic equipment is also in operation, so terminal just can send shutdown command to electronic equipment, power-off operation is performed according to this shutdown command to make electronic equipment, thus saving electricity, and ensure that user continues to have a rest under quiet environment.
In the embodiment shown in fig. 1, the disclosure gathers the kinematic parameter of user's body by wearable device, and determine the change frequency of kinematic parameter in preset time period, to judge the frequent degree of user movement, the change frequency of kinematic parameter is larger, illustrate that the frequent degree of user movement is larger, the change frequency of kinematic parameter is less, illustrates that the frequent degree of user movement is less.When in preset time period, the change frequency of this kinematic parameter is less than first threshold, the frequent degree of user movement is very little, illustrate that user is in sleep state, if electronic equipment is in open state, so just, send shutdown command to electronic equipment, to make user close electronic equipment in a sleep state, so not only can save electricity, and user can also be avoided to be subject to the interference of electronic equipment.
Fig. 2 is the intelligent process flow diagram of closing the method for electronic equipment of another kind according to an exemplary embodiment, and as shown in Figure 2, the intelligence shown in Fig. 2 closes the method for electronic equipment, may be used in terminal.Fig. 2 is an optional embodiment based on Fig. 1, in the embodiment shown in Figure 2, introduces and explain in the embodiment that the part identical with the embodiment shown in Fig. 1 can be shown in Figure 1.Method shown in Fig. 2 comprises the following steps.
In the step s 21, the kinematic parameter that wearable device gathers is obtained.
In step S22, determine the change frequency of kinematic parameter in preset time period.
In step S23, in preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain current time.
Wherein, after terminal determines the change frequency of kinematic parameter in preset time period, terminal just needs the change frequency judging kinematic parameter in preset time period whether to be less than first threshold, and whether electronic equipment is in open state.When terminal to determine in preset time period that the change frequency of kinematic parameter is less than first threshold and electronic equipment is in open state, illustrate that user has slept and electronic equipment is also in operation, so terminal just can obtain the current time of operating system, so that determine whether current time can send shutdown command to electronic equipment.
In step s 24 which, judge current time whether within the very first time, when current time is within the very first time, perform step S25.
Wherein, very first time scope is the time range that user presets, and such as, very first time range set can be 23 o'clock to 7 o'clock by user.
Get the current time of operating system in terminal after, terminal just can judge current time whether within the very first time, and only when current time is within the very first time, terminal could send shutdown command to electronic equipment.Because user is when use electronic equipment, user may just keep health static, and is not in sleep state, so user does not wish that electronic equipment is closed.Such as, electronic equipment is intelligent television, and user is when use electronic equipment, and health remains stationary state, but is not in sleep state, so user does not wish that intelligent television is closed.
By judging current time whether within the very first time, can determine whether user wants real closedown electronic equipment.Such as; electronic equipment is intelligent television; terminal is smart mobile phone; due to user often can at night about 23 see intelligent television and automatic sleeping; so very first time range set is 23 o'clock to 7 o'clock by user; only at 23 o'clock in 7 o'clock, smart mobile phone could send shutdown command to intelligent television.
In step s 25, shutdown command is sent to electronic equipment.
Fig. 3 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment, and as shown in Figure 3, the intelligence shown in Fig. 3 closes the method for electronic equipment, may be used in terminal.Fig. 3 is an optional embodiment based on Fig. 1, in the embodiment shown in fig. 3, introduces and explain in the embodiment that the part identical with the embodiment shown in Fig. 1 can be shown in Figure 1.Method shown in Fig. 3 comprises the following steps.
In step S31, obtain the kinematic parameter that wearable device gathers.
In step s 32, the change frequency of kinematic parameter in preset time period is determined.
In step S33, in preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, send to electronic equipment and reduce the instruction of volume according to predetermined manner.
Wherein, the mode reducing volume according to predetermined manner has multiple, and such as, be the volume of reduction by 1% per second according to the mode of predetermined manner reduction volume, also can be the volume of reduction by 0.5% per second, can also be the volume of reduction by 10% per minute.Certainly, according to predetermined manner reduce the mode of volume be not limited to above-mentioned mention several, can also be other modes.
After terminal determines the change frequency of kinematic parameter in preset time period, terminal just needs the change frequency judging kinematic parameter in preset time period whether to be less than first threshold, and whether electronic equipment is in open state.When terminal to determine in preset time period that the change frequency of kinematic parameter is less than first threshold and electronic equipment is in open state, illustrate that user has slept and electronic equipment is also in operation, so terminal just can send to electronic equipment the instruction reducing volume according to predetermined manner, and obtain the current volume of electronic equipment, so that when the current volume of electronic equipment is less than Second Threshold, shutdown command is sent to electronic equipment, thus the volume of electronic equipment is reduced gradually, when being reduced to Second Threshold, then send shutdown command to electronic equipment.
The object done like this is, use user after falling asleep in the process of electronic equipment, the volume of reduction electronic equipment slowly, with the volume making user adapt to electronic equipment gradually, little in Second Threshold in the volume of electronic equipment, then send shutdown command to electronic equipment.Because user is sleeping when using electronic equipment, illustrate that user has adapted to the volume that electronic equipment sends, if close electronic equipment instantaneously, so user wakes up because being not suitable with the volume of surrounding environment possibly.In order to avoid user may wake up because of the volume being not suitable with surrounding environment, terminal can send to electronic equipment the instruction reducing volume according to predetermined manner, to ensure that electronic equipment can reduction volume gradually, the volume adapting to electronic equipment all the time to make user and send.When the current volume of electronic equipment is less than Second Threshold, illustrate that the current volume of electronic equipment is enough little, now closing electronic equipment can not make user be not suitable with the volume of surrounding environment and wake up, so terminal when the current volume of electronic equipment is less than Second Threshold, can send shutdown command to electronic equipment.
Certainly, when the current volume of the electronic equipment that terminal gets is more than or equal to described Second Threshold, illustrate that the current volume of electronic equipment is not also reduced to applicable state, so terminal constantly can obtain the current volume of electronic equipment, and judge whether the current volume of electronic equipment is less than Second Threshold, until the current volume of electronic equipment is less than Second Threshold.
In step S34, obtain the current volume of electronic equipment.
In step s 35, judge whether the current volume of electronic equipment is less than Second Threshold.When the current volume of described electronic equipment is more than or equal to described Second Threshold, triggered step S34; When the current volume of electronic equipment is less than Second Threshold, perform step S36.
In step S36, when the current volume of electronic equipment is less than Second Threshold, send shutdown command to electronic equipment.
Fig. 4 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment, and as shown in Figure 4, the intelligence shown in Fig. 4 closes the method for electronic equipment, may be used in terminal.Fig. 4 is an optional embodiment based on Fig. 1, in the embodiment shown in fig. 4, introduces and explain in the embodiment that the part identical with the embodiment shown in Fig. 1 can be shown in Figure 1.Method shown in Fig. 4 comprises the following steps.
In step S41, obtain the kinematic parameter that wearable device gathers.
In step S42, determine the change frequency of kinematic parameter in preset time period.
In step S43, in preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain wearable device gather hrv parameter.
Wherein, hrv parameter is made a comment or criticism the number of times of heartbeat per minute under ordinary person's rest state, and wearable device can utilize a variety of mode to gather the hrv parameter of human body.Such as, photoelectricity transmissometry is adopted to gather hrv parameter.
After terminal determines the change frequency of kinematic parameter in preset time period, terminal just needs the change frequency judging kinematic parameter in preset time period whether to be less than first threshold, and whether electronic equipment is in open state.When terminal to determine in preset time period that the change frequency of kinematic parameter is less than first threshold and electronic equipment is in open state, illustrate that user remains static and electronic equipment is also in operation, user may be in sleep state, certainly, user is also likely remaining static at use electronic equipment.So in order to judge whether user is in sleep state more accurately, terminal also needs the hrv parameter obtaining wearable device collection.
Under normal circumstances, user's hrv parameter outline is in a sleep state lower than the hrv parameter under motion state.Such as, user A quiet and under the state waken heart rate be 60 to 80 times per minute, the heart rate of user A under sleeping state be 50 to 60 times per minute.So by the hrv parameter of user, terminal can judge whether user is in sleep state.
In step S44, judge whether hrv parameter is less than the 3rd threshold value, when hrv parameter is less than the 3rd threshold value, perform step S45.
Wherein, the 3rd threshold value is the value that user presets, and can set the 3rd threshold value according to the situation of user self.Such as, user B quiet and under the state waken heart rate be 70 to 90 times per minute, the heart rate of user B under sleeping state be 60 to 70 times per minute, so the 3rd threshold value just can be set as 70 by user B.
Get the hrv parameter of wearable device collection in terminal after, terminal just can judge whether this hrv parameter is less than the 3rd threshold value.When hrv parameter is less than the 3rd threshold value, illustrate that user is in sleep state really, so terminal just sends shutdown command to electronic equipment.
In step S45, send shutdown command to electronic equipment.
Fig. 5 is another the intelligent process flow diagram of closing the method for electronic equipment according to an exemplary embodiment, and as shown in Figure 5, the intelligence shown in Fig. 5 closes the method for electronic equipment, may be used in terminal.Fig. 5 is an optional embodiment based on Fig. 1, in the embodiment shown in fig. 5, introduces and explain in the embodiment that the part identical with the embodiment shown in Fig. 1 can be shown in Figure 1.Method shown in Fig. 5 comprises the following steps.
In step s 51, the kinematic parameter that wearable device gathers is obtained.
In step S52, determine the change frequency of kinematic parameter in preset time period.
In step S53, in preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
In step S54, in preset time period the change frequency of kinematic parameter be more than or equal to first threshold and electronic equipment is in closed condition time, obtain current time.
Wherein, after terminal determines the change frequency of kinematic parameter in preset time period, terminal just needs the change frequency judging kinematic parameter in preset time period whether to be less than first threshold, and whether electronic equipment is in open state.When terminal to determine in preset time period that the change frequency of kinematic parameter is more than or equal to first threshold and electronic equipment is in closed condition, so illustrate that user is kept in motion and electronic equipment is closed, terminal can obtain the current time of operating system, so that determine whether current time can send start-up command to electronic equipment.
In step S55, judge current time whether in the second time range.When current time is in the second time range, perform step S56.
Wherein, the second time range is the time range that user presets, if current time is in the second time range, so illustrate that user wishes in this case, electronic equipment can be opened automatically, and user mustn't be needed manually opened.
Such as, suppose that the second time range is set as 7 o'clock to 8 o'clock morning by user.At user's WA, terminal can detect that the change frequency of kinematic parameter in preset time period can be more than or equal to first threshold, and when terminal determines that electronic equipment is in closed condition, terminal just needs the current time obtaining operating system, so that determine whether current time can send start-up command to electronic equipment.Suppose that in the current time of user's WA be 7: 30 morning, so terminal can judge that current time is in the second time range, so terminal can send start-up command to electronic equipment, so that when user wakes up and electronic equipment is in cut out, electronic equipment can be opened automatically.
In step S56, send start-up command to electronic equipment.
Fig. 6 is a kind of intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.The device that the intelligence that the disclosure provides closes electronic equipment can close electronic equipment when identifying user and falling asleep, and to save electricity, and user can be avoided to be subject to the interference of electronic equipment.With reference to Fig. 6, this device comprises the first acquisition module 11, determination module 12 and the first sending module 13.Wherein:
First acquisition module 11, for obtaining the kinematic parameter that wearable device gathers.
Determination module 12, for determining the change frequency of kinematic parameter in preset time period.
First sending module 13, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
Fig. 7 is the intelligent schematic diagram of closing the device of electronic equipment of another kind according to an exemplary embodiment.With reference to Fig. 7, this device comprises the first acquisition module 21, determination module 22 and the first sending module 23, first sending module 23 and comprises the first acquisition submodule 231, first and judge submodule 232 and the first transmission submodule 233.Wherein:
First acquisition module 21, for obtaining the kinematic parameter that wearable device gathers.
Determination module 22, for determining the change frequency of kinematic parameter in preset time period.
First sending module 23, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
First obtain submodule 231, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, obtain current time.
First judges submodule 232, for judging current time whether within the very first time.
First sends submodule 233, for when current time is within the very first time, sends shutdown command to electronic equipment.
Fig. 8 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.With reference to Fig. 8, this device comprises the first acquisition module 31, determination module 32 and the first sending module 33, first sending module 33 and comprises the second transmission submodule 331, second and obtain submodule 332, second and judge submodule 333 and the 3rd transmission submodule 334.Wherein:
First acquisition module 31, for obtaining the kinematic parameter that wearable device gathers.
Determination module 32, for determining the change frequency of kinematic parameter in preset time period.
First sending module 33, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
Second sends submodule 331, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, send to electronic equipment and reduce the instruction of volume according to predetermined manner.
Second obtains submodule 332, for obtaining the current volume of electronic equipment.
Second judges submodule 333, for judging whether the current volume of electronic equipment is less than Second Threshold.Triggers module, when the current volume of described electronic equipment is more than or equal to described Second Threshold, triggers described second and obtains submodule 332.
3rd sends submodule 334, for when the current volume of electronic equipment is less than Second Threshold, sends shutdown command to electronic equipment.
Fig. 9 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.With reference to Fig. 9, this device comprises the first acquisition module 41, determination module 42 and the first sending module 43, first sending module 43 and comprises the 3rd and obtain submodule 431, the 3rd and judge submodule 432 and the 4th transmission submodule 433.Wherein:
First acquisition module 41, for obtaining the kinematic parameter that wearable device gathers.
Determination module 42, for determining the change frequency of kinematic parameter in preset time period.
First sending module 43, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
3rd obtain submodule 431, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, obtain wearable device gather hrv parameter.
3rd judges submodule 432, for judging whether hrv parameter is less than the 3rd threshold value.
4th sends submodule 433, during for being less than the 3rd threshold value at hrv parameter, sends shutdown command to electronic equipment.
Figure 10 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.With reference to Figure 10, this device comprises the first acquisition module 51, determination module 52, first sending module 53, second acquisition module 54, judge module 55 and the second sending module 56.Wherein:
First acquisition module 51, for obtaining the kinematic parameter that wearable device gathers.
Determination module 52, for determining the change frequency of kinematic parameter in preset time period.
First sending module 53, the change frequency for kinematic parameter in preset time period be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
Second acquisition module 54, the change frequency for kinematic parameter in preset time period be more than or equal to first threshold and electronic equipment is in closed condition time, obtain current time.
Judge module 55, for judging current time whether in the second time range.
Second sending module 56, for when current time is in the second time range, sends start-up command to electronic equipment.
Figure 11 is another the intelligent schematic diagram of closing the device of electronic equipment according to an exemplary embodiment.With reference to Figure 11, this device comprises processor 61 and the storer 62 for storage of processor 61 executable instruction.Wherein:
Processor 61 is configured to: obtain the kinematic parameter that wearable device gathers; Determine the change frequency of kinematic parameter in preset time period; In preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
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 12 is a kind of intelligent block diagram of closing the device of electronic equipment according to an exemplary embodiment.Such as, device 800 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Figure 12, device 800 can comprise following one or more assembly: processing components 802, storer 804, power supply module 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of I/O (I/O), sensor module 814, and communications component 816.
The integrated operation of the usual control device 800 of processing components 802, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 802 can comprise one or more processor 820 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 802 can comprise one or more module, and what be convenient between processing components 802 and other assemblies is mutual.Such as, processing components 802 can comprise multi-media module, mutual with what facilitate between multimedia groupware 808 and processing components 802.
Storer 804 is configured to store various types of data to be supported in the operation of device 800.The example of these data comprises for any application program of operation on device 800 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 804 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 806 is device 800 provide electric power.Power supply module 806 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 800 and be associated.
Multimedia groupware 808 is included in the screen providing an output interface between described device 800 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 808 comprises a front-facing camera and/or post-positioned pick-up head.When device 800 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 810 is configured to export and/or input audio signal.Such as, audio-frequency assembly 810 comprises a microphone (MIC), and when device 800 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 804 further or be sent via communications component 816.In certain embodiments, audio-frequency assembly 810 also comprises a loudspeaker, for output audio signal.
I/O interface 812 is for providing interface between processing components 802 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 module 814 comprises one or more sensor, for providing the state estimation of various aspects for device 800.Such as, sensor module 814 can detect the opening/closing state of device 800, the relative positioning of assembly, such as described assembly is display and the keypad of device 800, the position of all right pick-up unit 800 of sensor module 814 or device 800 1 assemblies changes, the presence or absence that user contacts with device 800, the temperature variation of device 800 orientation or acceleration/deceleration and device 800.Sensor module 814 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 814 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 814 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 816 is configured to the communication being convenient to wired or wireless mode between device 800 and other equipment.Device 800 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 816 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 816 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 800 can be realized, for performing said method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 804 of instruction, above-mentioned instruction can perform said method by the processor 820 of device 800.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 described storage medium is performed by the processor of mobile terminal, make mobile terminal can perform a kind of method of intelligence closedown electronic equipment, described method comprises: obtain the kinematic parameter that wearable device gathers; Determine the change frequency of kinematic parameter in preset time period; In preset time period the change frequency of kinematic parameter be less than first threshold and electronic equipment is in open state time, to electronic equipment send shutdown command.
Figure 13 is another the intelligent block diagram of closing the device 1900 of electronic equipment according to an exemplary embodiment.Such as, device 1900 may be provided in a server.With reference to Figure 13, device 1900 comprises processing components 1922, and it comprises one or more processor further, and the memory resource representated by storer 1932, can such as, by the instruction of the execution of processing components 1922, application program for storing.The application program stored in storer 1932 can comprise each module corresponding to one group of instruction one or more.In addition, processing components 1922 is configured to perform instruction, to perform the method that above-mentioned intelligence closes electronic equipment.
Device 1900 can also comprise the power management that a power supply module 1926 is configured to actuating unit 1900, and a wired or wireless network interface 1950 is configured to device 1900 to be connected to network, and input and output (I/O) interface 1958.Device 1900 can operate the operating system based on being stored in storer 1932, such as WindowsServerTM, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM or similar.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present invention.The application is intended to contain any modification of the present invention, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present invention and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present invention and spirit are pointed out by claim below.
Should be understood that, the present invention 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.Scope of the present invention is only limited by appended claim.
Claims (11)
1. intelligence closes a method for electronic equipment, it is characterized in that, comprising:
Obtain the kinematic parameter that wearable device gathers;
Determine the change frequency of described kinematic parameter in preset time period;
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
2. intelligence according to claim 1 closes the method for electronic equipment, it is characterized in that, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain current time;
Judge described current time whether within the very first time;
When described current time is within the described very first time, send shutdown command to described electronic equipment.
3. intelligence according to claim 1 closes the method for electronic equipment, it is characterized in that, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send the instruction reducing volume according to predetermined manner to described electronic equipment;
Obtain the current volume of described electronic equipment;
Judge whether the current volume of described electronic equipment is less than Second Threshold;
When the current volume of described electronic equipment is more than or equal to described Second Threshold, trigger the step of the current volume of the described electronic equipment of described acquisition;
When the current volume of described electronic equipment is less than described Second Threshold, send shutdown command to described electronic equipment.
4. intelligence according to claim 1 closes the method for electronic equipment, it is characterized in that, the change frequency of described described kinematic parameter in described preset time period be less than first threshold and electronic equipment is in open state time, send the step of shutdown command to described electronic equipment, comprising:
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, obtain described wearable device gather hrv parameter;
Judge whether described hrv parameter is less than described 3rd threshold value;
When described hrv parameter is less than described 3rd threshold value, send shutdown command to described electronic equipment.
5. intelligence according to claim 1 closes the method for electronic equipment, and it is characterized in that, described method also comprises:
In described preset time period the change frequency of described kinematic parameter be more than or equal to described first threshold and described electronic equipment is in closed condition time, obtain current time;
Judge described current time whether in the second time range;
When described current time is in described second time range, send start-up command to described electronic equipment.
6. intelligence closes a device for electronic equipment, it is characterized in that, comprising:
First acquisition module, for obtaining the kinematic parameter that wearable device gathers;
Determination module, for determining the change frequency of described kinematic parameter in preset time period;
First sending module, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
7. intelligence according to claim 6 closes the device of electronic equipment, and it is characterized in that, described first sending module comprises:
First obtain submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, obtain current time;
First judges submodule, for judging described current time whether within the very first time;
First sends submodule, for when described current time is within the described very first time, sends shutdown command to described electronic equipment.
8. intelligence according to claim 6 closes the device of electronic equipment, and it is characterized in that, described first sending module comprises:
Second sends submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, send the instruction reducing volume according to predetermined manner to described electronic equipment;
Second obtains submodule, for obtaining the current volume of described electronic equipment;
Second judges submodule, for judging whether the current volume of described electronic equipment is less than Second Threshold;
Triggers module, when the current volume of described electronic equipment is more than or equal to described Second Threshold, triggers described second and obtains submodule;
3rd sends submodule, for when the current volume of described electronic equipment is less than described Second Threshold, sends shutdown command to described electronic equipment.
9. intelligence according to claim 6 closes the device of electronic equipment, and it is characterized in that, described first sending module comprises:
3rd obtain submodule, the change frequency for kinematic parameter described in described preset time period be less than first threshold and electronic equipment is in open state time, obtain described wearable device gather hrv parameter;
3rd judges submodule, for judging whether described hrv parameter is less than described 3rd threshold value;
4th sends submodule, for when described hrv parameter is less than described 3rd threshold value, sends shutdown command to described electronic equipment.
10. intelligence according to claim 6 closes the device of electronic equipment, and it is characterized in that, described device also comprises:
Second acquisition module, the change frequency for kinematic parameter described in described preset time period be more than or equal to described first threshold and described electronic equipment is in closed condition time, obtain current time;
Judge module, for judging described current time whether in the second time range;
Second sending module, for when described current time is in described second time range, sends start-up command to described electronic equipment.
11. 1 kinds of intelligence close the device of electronic equipment, it is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Obtain the kinematic parameter that wearable device gathers;
Determine the change frequency of described kinematic parameter in preset time period;
In described preset time period the change frequency of described kinematic parameter be less than first threshold and electronic equipment is in open state time, send shutdown command to described electronic equipment.
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