CN108415738A - Electronic equipment, apparatus control method and Related product - Google Patents
Electronic equipment, apparatus control method and Related product Download PDFInfo
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- CN108415738A CN108415738A CN201810155559.XA CN201810155559A CN108415738A CN 108415738 A CN108415738 A CN 108415738A CN 201810155559 A CN201810155559 A CN 201810155559A CN 108415738 A CN108415738 A CN 108415738A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 210000004556 brain Anatomy 0.000 claims abstract description 83
- 230000006978 adaptation Effects 0.000 claims abstract description 66
- 238000004590 computer program Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 6
- 239000000284 extract Substances 0.000 claims description 3
- 238000013497 data interchange Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 18
- 238000010586 diagram Methods 0.000 description 17
- 230000006870 function Effects 0.000 description 14
- 230000004438 eyesight Effects 0.000 description 11
- 208000020564 Eye injury Diseases 0.000 description 7
- 241000196324 Embryophyta Species 0.000 description 4
- 241000208340 Araliaceae Species 0.000 description 3
- 206010012335 Dependence Diseases 0.000 description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 235000008434 ginseng Nutrition 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 230000007177 brain activity Effects 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000037237 body shape Effects 0.000 description 1
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- 238000006243 chemical reaction Methods 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 210000004761 scalp Anatomy 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44505—Configuring for program initiating, e.g. using registry, configuration files
- G06F9/4451—User profiles; Roaming
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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
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
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Abstract
The embodiment of the present application discloses a kind of electronic equipment, apparatus control method and Related product, including：When detecting that the eyeshield operating mode of electronic equipment enables, the eeg signal of user is acquired by brain wave sensor；The job characteristics of user and current fatigue strength are determined according to eeg signal；Determine the reference of the adaptation current physical condition of user at the moment growing according to job characteristics and fatigue strength；Control user is no more than with reference to at the moment growing the continuous use duration of electronic equipment.The embodiment of the present application accurately determines reference of the adaptation current physical condition of user according to the eeg signal of user at the moment growing, and carries out eyeshield control with reference to at the moment length according to this, raising electronic equipment eyeshield accuracy and intelligent.
Description
Technical field
This application involves technical field of mobile terminals, and in particular to a kind of electronic equipment, apparatus control method and related production
Product.
Background technology
With a large amount of popularization and applications of the mobile terminals such as smart mobile phone, the application that smart mobile phone can be supported is more and more,
Function is stronger and stronger, and smart mobile phone develops towards diversification, personalized direction, becomes indispensable electricity in user's life
Sub- articles for use.But current user often because excessively using electronic equipment due to cause vision impairment the problems such as.
Invention content
The embodiment of the present application provides a kind of electronic equipment, apparatus control method and Related product, to according to user's
Eeg signal accurately determines reference of the adaptation current physical condition of user at the moment growing, and according to this with reference to at the moment progress
Row eyeshield controls, and improves electronic equipment eyeshield accuracy and intelligent.
In a first aspect, the embodiment of the present application provides a kind of electronic equipment, including brain wave sensor, processor and storage
Device, the brain wave sensor, the memory are coupled with the processor, wherein
The brain wave sensor, for when the eyeshield operating mode of the electronic equipment enables, acquiring the brain of user
Electric wave signal；
The processor, the job characteristics for determining user according to the eeg signal and current fatigue strength；With
And for being determined the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；With
And the continuous use duration of the electronic equipment is no more than for controlling user described with reference to at the moment growing.
Second aspect, the embodiment of the present application provide a kind of apparatus control method, are applied to electronic equipment, the electronic equipment
Including brain wave sensor, the method includes：
When detecting that the eyeshield operating mode of the electronic equipment enables, acquire user's by the brain wave sensor
Eeg signal；
The job characteristics of user and current fatigue strength are determined according to the eeg signal；
Determine the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；
Control user is no more than the continuous use duration of the electronic equipment described with reference to at the moment growing.
The third aspect, the embodiment of the present application provides a kind of plant control unit, including is applied to electronic equipment, the electronics
Equipment includes brain wave sensor, and the plant control unit includes collecting unit, determination unit and control unit, wherein
The collecting unit when for detecting that the eyeshield operating mode of the electronic equipment enables, passes through brain electricity
Wave sensor acquires the eeg signal of user；
The determination unit, the job characteristics for determining user according to the eeg signal and current fatigue strength；
The determination unit is additionally operable to determine the current body of adaptation user according to the job characteristics and the fatigue strength
The reference of state is at the moment growing；
Described control unit is no more than the reference use for controlling user to the continuous use duration of the electronic equipment
At the moment grow.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, including processor, memory, communication interface and
One or more programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned
It manages device to execute, above procedure includes the instruction for executing the step in the embodiment of the present application second aspect either method.
5th aspect, the embodiment of the present application provide a kind of computer readable storage medium, wherein above computer is readable
Computer program of the storage medium storage for electronic data interchange, wherein above computer program makes computer execute such as
Step some or all of described in the embodiment of the present application second aspect either method.
6th aspect, the embodiment of the present application provide a kind of computer program product, wherein above computer program product
Non-transient computer readable storage medium including storing computer program, above computer program are operable to make calculating
Machine executes the step some or all of as described in the embodiment of the present application second aspect either method.The computer program product
It can be a software installation packet.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
Description of the drawings
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
Obtain other attached drawings according to these attached drawings.
Figure 1A is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Figure 1B is a kind of structural schematic diagram of brain wave sensor provided by the embodiments of the present application；
Fig. 1 C are the structural schematic diagrams of the electronic equipment of integrated brain wave sensor provided by the embodiments of the present application；
Fig. 1 D are the structural schematic diagrams of another brain wave sensor provided by the embodiments of the present application；
Fig. 1 E are the structural schematic diagrams of another brain wave sensor provided by the embodiments of the present application；
Fig. 1 F are a kind of structural schematic diagrams of electrod-array provided by the embodiments of the present application；
Fig. 1 G are the exemplary plots of the signal processing circuit of brain wave sensor provided by the embodiments of the present application；
Fig. 2 is a kind of flow diagram of apparatus control method provided by the embodiments of the present application；
Fig. 3 is the flow diagram of another apparatus control method provided by the embodiments of the present application；
Fig. 4 is the flow diagram of another apparatus control method provided by the embodiments of the present application；
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided by the embodiments of the present application；
Fig. 6 is a kind of functional unit composition block diagram of plant control unit provided by the embodiments of the present application.
Specific implementation mode
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, technical solutions in the embodiments of the present application are clearly and completely described, it is clear that described embodiment is only
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained without creative efforts, shall fall in the protection scope of this application.
Term " first ", " second " in the description and claims of this application and above-mentioned attached drawing etc. are for distinguishing
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
It is defined in the step of having listed or unit, but further includes the steps that optionally not listing or unit, or optionally also wrap
It includes for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Electronic equipment involved by the embodiment of the present application may include various handheld devices with wireless communication function,
Mobile unit, wearable device, computing device or other processing equipments and various forms for being connected to radio modem
User equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic equipment.
It describes in detail below to the embodiment of the present application.
A is please referred to Fig.1, Figure 1A is the structural schematic diagram that the embodiment of the present application provides a kind of electronic equipment 100, the electricity
Sub- equipment 100 includes：Shell 110, the memory 120 being set in the shell 110, brain wave sensor 130, processor
140, radio frequency system 150 and the display screen 160 being set on the shell 110, memory 120, the brain wave sensor
130, the radio frequency system 150 is coupled with the processor 140, and the processor 140 connects the display screen 160, described to penetrate
Display system 150 includes transmitter 151, receiver 152, signal processor 153, wherein
The brain wave sensor 130, for when the eyeshield operating mode of the electronic equipment 100 enables, acquisition to be used
The eeg signal at family；
Wherein, the enabling trigger condition of the eyeshield operating mode can be diversified, not do unique restriction herein.
For example, the enabling trigger condition of above-mentioned eyeshield operating mode can be that user actively triggers, i.e. electronic equipment
Function choosing-item is provided to be chosen by user quickly to enable the pattern, is similar to conference model or silent mode etc..Such side
Formula simple operation.
Again for example, the enabling trigger condition of above-mentioned eyeshield operating mode can also be to be used by electronic equipment self monitor
The continuous use duration at family, and enable the pattern when the continuous duration is more than preset duration.Such mode is more intelligent.
The processor 140, the job characteristics for determining user according to the eeg signal and current fatigue strength；
And for being determined the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；
And the continuous use duration of the electronic equipment 100 is no more than for controlling user described with reference to at the moment growing.
Wherein, by the brain region difference that different professional users is got used to, in the instruction of long-term professional sexual act
Under white silk, the liveness and biological capacity in region that human brain is often trained to gradually are enhanced, to gradual differentiation.So electronics
Equipment can determine the otherness by acquiring eeg signal analysis, and determine that the occupation of active user is special according to the otherness
Sign.
Wherein, brain wave sensor 130 is properly termed as brain wave chip, brain wave receiver etc., brain wave sensing again
Device 130 is integrated in the electronic device, has special signal processing circuit, and connect with the processor of electronic equipment, according to acquisition
Signal type can be divided into current type brain wave sensor 130 and electromagnetic type brain wave sensor 130, current type brain wave sensing
Device 130 acquires the bioelectricity that cortex generates, and electromagnetic type brain wave sensor 130 acquires the electromagnetism radiated when human brain activity
Wave.It is understood that the specific form of the brain wave sensor 130 can be diversified, unique restriction is not done herein.
For example, as shown in Figure 1B, which may include Anneta module and signal processing module,
It can specifically be integrated on the main circuit board of electronic equipment, Anneta module acquires the electromagnetic wave signal generated when human brain activity, letter
Number processing module executes the processing such as denoising, filtering for the electromagnetic wave signal, ultimately forms benchmark eeg signal and is sent to place
Reason device is handled.
Again for example, as shown in Figure 1 C and 1D, which may include wearable signal picker,
In the host cavity for the rear shell that the wearable signal picker can be contained in electronic equipment as shown in Figure 1 C, in use, as schemed
Shown in 1D, wearable signal picker and electronic equipment local terminal wired connection or it is wirelessly connected that (wireless connection is corresponding wearable
Signal picker is integrated with wireless communication module and is communicated to connect with electronic equipment local terminal).
Again for example, as shown in Fig. 1 E to 1G, which may include electrod-array and signal processing
Module, wherein the electronic array is embedded to the electric signal that neuron is captured in scalp, and the structure of electrode section is needle-shaped permutation, should
Signal processing circuit portion point may include instrument amplifier, low-pass filter circuit, high-pass filtering circuit, modulus A/D conversion circuits
And interface circuit etc..
Wherein, processor 140 includes application processor and baseband processor, and processor is the control centre of electronic equipment,
Using the various pieces of various interfaces and the entire electronic equipment of connection, by run or execute be stored in it is soft in memory
Part program and/or module, and the data being stored in memory are called, execute the various functions and processing number of electronic equipment
According to carry out integral monitoring to electronic equipment.Wherein, the main processing operation system of application processor, user interface and application
Program etc., baseband processor mainly handle wireless communication.It is understood that above-mentioned baseband processor can not also integrate everywhere
It manages in device.Memory 120 can be used for storing software program and module, and processor is stored in the software journey of memory by operation
Sequence and module, to execute various function application and the data processing of electronic equipment.Memory 120 can include mainly storage
Program area and storage data field, wherein storing program area can storage program area, the application program needed at least one function
Deng；Storage data field can be stored uses created data etc. according to electronic equipment.In addition, memory 120 may include height
Fast random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device,
Or other volatile solid-state parts.
In the specific implementation, electronic equipment can control the brain wave sensor 130 under non-eyeshield operating mode with low
Power mode operation, is worked under eyeshield operating mode with high frequency mode, and power consumption is reduced with this.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the processor 140 are specifically used for：Obtain the associated fatigue of the job characteristics
Degree and with the correspondence between at the moment long；And for inquiring the correspondence, determine that the current fatigue strength corresponds to
User with the reference of at the moment a length of adaptation current physical condition of user at the moment growing.
Wherein, it is to exist for different professional users, corresponding fatigue strength and with the correspondence between at the moment growing
Difference, such as driver and sportsman, since driver is relatively high using dependency degree to eyes, and sportsman is to eyes
Relatively low using dependency degree, so under identical fatigue strength constraints, at the moment length generally can be small for the use corresponding to driver
Corresponding to sportsman at the moment growing.So it is necessary to carry out the accurate thin of above-mentioned correspondence for different professional users
Point, more accurately to determine fatigue strength corresponding to current professional user and with the correspondence between at the moment long.
As it can be seen that in this example, electronic equipment can determine the fatigue strength and use of active user according to the job characteristics of user
Correspondence between at the moment growing, and the correspondence is inquired to determine the reference of the adaptation current physical condition of user at the moment
It is long, be conducive to raising electronic equipment and determine user current reference at the moment long accuracy and convenience.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the processor 140 are specifically used for：Preset job characteristics library is inquired, is obtained
The corresponding fatigue strength impact factor of the job characteristics, the fatigue strength impact factor are used to indicate the fatigue strength of user to user
With at the moment long influence degree, the job characteristics library includes the correspondence between job characteristics and fatigue strength impact factor；
And for obtaining user using the benchmark of the electronic equipment at the moment growing；And at the moment being grown according to benchmark use,
The fatigue strength impact factor and the current fatigue strength calculate the reference of the adaptation current physical condition of user at the moment growing.
Wherein, in general, different occupation is discrepant to the influence degree of the human eye of user, with computer office personnel
For sportsman, it is clear that computer office personnel are since long-term opposite electronic curtain uses eyes, and job characteristics are to user's
The influence degree of eyes is larger, and sportsman routinizes due to being compared with eye, influence journey of the job characteristics to the eyes of user
Degree it is smaller, the otherness of the image degree can be quantified based on big data statistical analysis, ultimately form fatigue strength influence because
Son.
Wherein, the benchmark can be by counting being obtained with ophthalmic record for targeted user population, the target at the moment length
In user group, the job characteristics of each user almost can be ignored the influence degree of the eyes of the user, be remembered with eye
Record include use eye data and eye health degree etc., with eye data may include day commonly use eye be averaged duration, frequency, using electronics
The duration etc. of equipment.
As it can be seen that in this example, electronic equipment can obtain the corresponding fatigue strength impact factor of job characteristics of user, and root
The reference that the adaptation current physical condition of user is calculated at the moment long, fatigue strength impact factor and current fatigue strength according to benchmark is used
It at the moment grows, improves reference at the moment long accuracy in computation.
In a possible example, described according to the benchmark at the moment long, described fatigue strength impact factor and institute
The reference at the moment long side that current fatigue strength calculates the adaptation current physical condition of user is stated, the processor 140 is specific
For：The reference of the adaptation current physical condition of user is calculated by following formula at the moment growing,
T=T0-T0*a*p/P,
Wherein, t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current fatigue
Degree, P are highest fatigue strength.
In a possible example, the job characteristics of user and current are determined according to the eeg signal described
In terms of fatigue strength, the processor 140 is specifically used for：The current electroencephalogram of user is generated according to the eeg signal；With
And it for inquiring preset electroencephalogram set, obtains and the matched target electroencephalogram template of the current electroencephalogram, Yi Jisuo
The corresponding job characteristics of target electroencephalogram template are stated, the electroencephalogram set includes pair between electroencephalogram template and job characteristics
It should be related to；And for extracting the brain wave characteristic in the current electroencephalogram for calculating fatigue strength；And it is used for
The current fatigue strength of user is calculated according to the brain wave characteristic.
Wherein, the correspondence between electroencephalogram template and job characteristics can be by counting different occupation user group's
Electroencephalogram and obtain.
As it can be seen that in this example, electronic equipment can confirm according to collected with a part of eeg signal parallel synchronous
The job characteristics of user and current fatigue strength improve signal processing efficiency.
In a possible example, institute is no more than to the continuous use duration of the electronic equipment in the control user
It states with reference to at the moment long side, the processor 140 are specifically used for：According to described the electronic equipment is adjusted with reference to at the moment long
Multiple applications access right, wherein be adjusted the application of permission reference enable duration be more than it is described with reference to at the moment growing,
The reference for not being adjusted the application of permission enables duration and is less than described with reference to at the moment growing, and is adjusted the applying default of permission
It can not be activated in period.
Wherein, the multiple application includes system application and/or the third-party application of electronic equipment.
As it can be seen that in this example, for the popular application of user's continuous use, electronic equipment can detect such application
Enabling duration be more than with reference to it is at the moment long when adjust its access right answered so that user can not enable this in preset period of time
With, to avoid user Duo Du addiction popular application and deteriorated vision, improve electronic equipment carry out eyeshield control promptness and
Accuracy.
A kind of flow diagram of apparatus control method is provided referring to Fig. 2, Fig. 2 is the embodiment of the present application, is applied to
Electronic equipment as described in Figure 1A is applied to electronic equipment, and the electronic equipment includes brain wave sensor, as shown, this
Apparatus control method includes：
S201 is passed when electronic equipment detects that the eyeshield operating mode of the electronic equipment enables by the brain wave
Sensor acquires the eeg signal of user；
S202, the electronic equipment determine the job characteristics of user and current fatigue strength according to the eeg signal；
S203, the electronic equipment determine the current body shape of adaptation user according to the job characteristics and the fatigue strength
The reference of state is at the moment growing；
S204, the electronic equipment control user are no more than the continuous use duration of the electronic equipment described with reference to use
At the moment grow.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
It is described to determine that adaptation user is current according to the job characteristics and the fatigue strength in a possible example
The reference of physical condition at the moment growing, including：Obtain the associated fatigue strength of the job characteristics with at the moment grow between it is corresponding
Relationship；The correspondence is inquired, determines that the corresponding user of the current fatigue strength is worked as at the moment a length of adaptation user
The reference of preceding physical condition is at the moment growing.
As it can be seen that in this example, electronic equipment can determine the fatigue strength and use of active user according to the job characteristics of user
Correspondence between at the moment growing, and the correspondence is inquired to determine the reference of the adaptation current physical condition of user at the moment
It is long, be conducive to raising electronic equipment and determine user current reference at the moment long accuracy and convenience.
It is described to determine that adaptation user is current according to the job characteristics and the fatigue strength in a possible example
The reference of physical condition at the moment growing, including：Preset job characteristics library is inquired, the corresponding fatigue strength of the job characteristics is obtained
Impact factor, the fatigue strength that the fatigue strength impact factor is used to indicate user uses user at the moment long influence degree, described
Job characteristics library includes the correspondence between job characteristics and fatigue strength impact factor；It obtains user and uses the electronic equipment
Benchmark at the moment growing；It is calculated at the moment long, described fatigue strength impact factor and the current fatigue strength according to the benchmark
The reference of the current physical condition of user is adapted to at the moment growing.
It is described according to the benchmark at the moment long, described fatigue strength impact factor and described in a possible example
Current fatigue strength calculates the reference of the adaptation current physical condition of user at the moment growing, including：It is calculated by following formula suitable
Reference with the current physical condition of user is at the moment growing, t=T0-T0*a*p/P,
Wherein, t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current fatigue
Degree, P are highest fatigue strength.
As it can be seen that in this example, electronic equipment can obtain the corresponding fatigue strength impact factor of job characteristics of user, and root
The reference that the adaptation current physical condition of user is calculated at the moment long, fatigue strength impact factor and current fatigue strength according to benchmark is used
It at the moment grows, improves reference at the moment long accuracy in computation.
In a possible example, the job characteristics and currently tired that user is determined according to the eeg signal
Lao Du, including：The current electroencephalogram of user is generated according to the eeg signal；Preset electroencephalogram set is inquired, is obtained
With the matched target electroencephalogram template of the current electroencephalogram and the corresponding job characteristics of the target electroencephalogram template,
The electroencephalogram set includes the correspondence between electroencephalogram template and job characteristics；It extracts and is used in the current electroencephalogram
In the brain wave characteristic for calculating fatigue strength；The current fatigue strength of user is calculated according to the brain wave characteristic.
In a possible example, the control user is no more than the continuous use duration of the electronic equipment described
With reference to at the moment growing, including：The access right of multiple applications of the electronic equipment is adjusted at the moment length according to the reference,
In, the reference for being adjusted the application of permission enables duration more than described with reference to at the moment growing, and is not adjusted the ginseng of the application of permission
It examines and enables duration and be less than described with reference to at the moment growing, and be adjusted applying for permission and can not be activated in preset period of time.
As it can be seen that in this example, electronic equipment can confirm according to collected with a part of eeg signal parallel synchronous
The job characteristics of user and current fatigue strength improve signal processing efficiency.
In a possible example, the control user is no more than the continuous use duration of the electronic equipment described
With reference to at the moment growing, including：The access right of multiple applications of the electronic equipment is adjusted at the moment length according to the reference,
In, the reference for being adjusted the application of permission enables duration more than described with reference to at the moment growing, and is not adjusted the ginseng of the application of permission
It examines and enables duration and be less than described with reference to at the moment growing, and be adjusted applying for permission and can not be activated in preset period of time.
As it can be seen that in this example, for the popular application of user's continuous use, electronic equipment can detect such application
Enabling duration be more than with reference to it is at the moment long when adjust its access right answered so that user can not enable this in preset period of time
With, to avoid user Duo Du addiction popular application and deteriorated vision, improve electronic equipment carry out eyeshield control promptness and
Accuracy.
It is consistent with above-mentioned embodiment shown in Fig. 2, referring to Fig. 3, Fig. 3 is a kind of equipment provided by the embodiments of the present application
The flow diagram of control method is applied to the electronic equipment as described in Figure 1A, is applied to electronic equipment, the electronic equipment packet
Brain wave sensor is included, as shown, this apparatus control method includes：
S301 is passed when electronic equipment detects that the eyeshield operating mode of the electronic equipment enables by the brain wave
Sensor acquires the eeg signal of user；
S302, the electronic equipment determine the job characteristics of user and current fatigue strength according to the eeg signal；
S303, the electronic equipment obtain the associated fatigue strength of the job characteristics and use the corresponding pass between at the moment growing
System；
S304, the electronic equipment inquire the correspondence, determine the corresponding user's eye of the current fatigue strength
The reference of the current physical condition of user is adapted to described in Shi Changwei at the moment growing.
S305, the electronic equipment control user are no more than the continuous use duration of the electronic equipment described with reference to use
At the moment grow.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
In addition, electronic equipment can be determined according to the job characteristics of user active user fatigue strength and at the moment grow between
Correspondence, and inquire the correspondence with determine adaptation the current physical condition of user reference at the moment growing, be conducive to
It improves electronic equipment and determines user current reference at the moment long accuracy and convenience.
It is consistent with above-mentioned embodiment shown in Fig. 2, referring to Fig. 4, Fig. 4 is a kind of equipment provided by the embodiments of the present application
The flow diagram of control method is applied to the electronic equipment as described in Figure 1A.As shown, this apparatus control method includes：
S401 is passed when electronic equipment detects that the eyeshield operating mode of the electronic equipment enables by the brain wave
Sensor acquires the eeg signal of user；
S402, the electronic equipment generate the current electroencephalogram of user according to the eeg signal；
S403, the electronic equipment inquire preset electroencephalogram set, obtain and the matched mesh of current electroencephalogram
It includes electroencephalogram mould to mark electroencephalogram template and the corresponding job characteristics of the target electroencephalogram template, the electroencephalogram set
Correspondence between plate and job characteristics；
S404, the electronic equipment extract the brain wave characteristic for calculating fatigue strength in the current electroencephalogram
According to；
S405, the electronic equipment calculate the current fatigue strength of user according to the brain wave characteristic.
S406, the electronic equipment inquire preset job characteristics library, obtain the corresponding fatigue strength shadow of the job characteristics
The factor is rung, the fatigue strength impact factor is used to indicate the fatigue strength of user to the at the moment long influence degree of user, is reported
Industry feature database includes the correspondence between job characteristics and fatigue strength impact factor；
S407, the electronic equipment obtain user using the benchmark of the electronic equipment at the moment growing；
S408, the electronic equipment calculate the reference of the adaptation current physical condition of user at the moment by following formula
It is long, t=T0-T0*a*p/P, wherein t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is
Current fatigue strength, P are highest fatigue strength.
S409, the electronic equipment is according to the use with reference to the at the moment long multiple applications for adjusting the electronic equipment
Permission, wherein the reference for being adjusted the application of permission enables duration more than described with reference to at the moment growing, and is not adjusted answering for permission
It is less than described with reference to at the moment growing with reference to duration is enabled, and is adjusted applying for permission and can not be opened in preset period of time
With.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
In addition, electronic equipment can obtain the corresponding fatigue strength impact factor of job characteristics of user, and used according to benchmark
At the moment long, fatigue strength impact factor and current fatigue strength calculate the reference of the adaptation current physical condition of user at the moment growing,
Reference is improved at the moment long accuracy in computation.
In addition, electronic equipment can be according to the collected occupation for confirming user with a part of eeg signal parallel synchronous
Feature and current fatigue strength improve signal processing efficiency.
In addition, for the popular application of user's continuous use, electronic equipment can be when detecting the enabling of such application
It is long be more than with reference to it is at the moment long when adjust its access right so that user can not enable the application in preset period of time, to
Avoid user Duo Du addiction popular application and deteriorated vision, improve electronic equipment carry out eyeshield control promptness and accuracy.
It is consistent with above-mentioned Fig. 2, Fig. 3, embodiment shown in Fig. 4, referring to Fig. 5, Fig. 5 is provided by the embodiments of the present application
The structural schematic diagram of a kind of electronic equipment, as shown, the electronic equipment includes processor, memory, communication interface and one
A or multiple programs, wherein said one or multiple programs are stored in above-mentioned memory, and are configured by above-mentioned processing
Device executes, and above procedure includes the instruction for executing following steps；
When detecting that the eyeshield operating mode of the electronic equipment enables, acquired by the brain wave sensor of electronic equipment
The eeg signal of user；
The job characteristics of user and current fatigue strength are determined according to the eeg signal；
Determine the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；
Control user is no more than the continuous use duration of the electronic equipment described with reference to at the moment growing.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the instruction in described program is specifically used for executing following operation：Acquisition is reported
The fatigue strength of industry feature association and at the moment grow between correspondence；And the inquiry correspondence, it determines described current
The corresponding user of fatigue strength with the reference of at the moment a length of adaptation current physical condition of user at the moment growing.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the instruction in described program is specifically used for executing following operation：It inquires preset
Job characteristics library, obtains the corresponding fatigue strength impact factor of the job characteristics, and the fatigue strength impact factor is used to indicate use
For the fatigue strength at family to the at the moment long influence degree of user, the job characteristics library includes job characteristics and fatigue strength impact factor
Between correspondence；And user is obtained using the benchmark of the electronic equipment at the moment growing；And it is used according to the benchmark
At the moment long, described fatigue strength impact factor and the current fatigue strength calculate the reference use of the adaptation current physical condition of user
At the moment grow.
In a possible example, described according to the benchmark at the moment long, described fatigue strength impact factor and institute
State the reference at the moment long side that current fatigue strength calculates the adaptation current physical condition of user, the instruction tool in described program
Body is for performing the following operations：The reference of the adaptation current physical condition of user is calculated by following formula at the moment growing, t=
T0-T0*a*p/P, wherein t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current
Fatigue strength, P are highest fatigue strength.
In a possible example, the job characteristics of user and current are determined according to the eeg signal described
In terms of fatigue strength, the instruction in described program is specifically used for executing following operation：Generate user's according to the eeg signal
Current electroencephalogram；And the preset electroencephalogram set of inquiry, it obtains and the matched target electroencephalogram of the current electroencephalogram
Template and the corresponding job characteristics of the target electroencephalogram template, the electroencephalogram set include electroencephalogram template and occupation
Correspondence between feature；And the brain wave characteristic in the extraction current electroencephalogram for calculating fatigue strength；
And the current fatigue strength of user is calculated according to the brain wave characteristic.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is appreciated that
, for electronic equipment in order to realize above-mentioned function, it comprises execute the corresponding hardware configuration of each function and/or software mould
Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, and depend on the specific application and design constraint item of technical solution
Part.Professional technician specifically can realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out electronic equipment according to the above method example division of functional unit, for example, can
Each functional unit is divided with each function of correspondence, two or more functions can also be integrated in a processing unit
In.The form that hardware had both may be used in above-mentioned integrated unit is realized, can also be realized in the form of SFU software functional unit.It needs
It is noted that be schematical, only a kind of division of logic function to the division of unit in the embodiment of the present application, it is practical real
It is current that there may be another division manner.
Fig. 6 is the functional unit composition block diagram of plant control unit 600 involved in the embodiment of the present application.The equipment control
Device 600 processed is applied to electronic equipment, and the electronic equipment includes brain wave sensor, which includes adopting
Collect unit 601, determination unit 602 and control unit 603, wherein
The collecting unit 601 passes through the brain when for detecting that the eyeshield operating mode of the electronic equipment enables
Radio wave sensor acquires the eeg signal of user；
The determination unit 602, the job characteristics for determining user according to the eeg signal and current fatigue
Degree；
The determination unit 602 is additionally operable to determine that adaptation user is current according to the job characteristics and the fatigue strength
The reference of physical condition is at the moment growing；
Described control unit 603 is no more than the ginseng for controlling user to the continuous use duration of the electronic equipment
It examines at the moment growing.
As can be seen that in the embodiment of the present application, electronic equipment passes through brain first when detecting that eyeshield operating mode enables
Radio wave sensor acquires the eeg signal of user, secondly, the job characteristics of user and current is determined according to the eeg signal
Fatigue strength reference the use of the adaptation current physical condition of user is determined according to the job characteristics of the determination and fatigue strength again
It at the moment grows, finally, control user is no more than this to the continuous use duration of electronic equipment and refers to at the moment growing.As it can be seen that electronics is set
It is standby to acquire the current eeg signal of user by brain wave sensor under eyeshield operating mode, and according to the brain wave
Signal accurately determines the reference of the adaptation current physical condition of user at the moment growing, and is finally used according to the reference and is at the moment grown to electronics
Equipment is controlled with effective protection eyes of user, prevents from excessively using eye injury eyesight, is conducive to improve electronic equipment eyeshield essence
Exactness and intelligent.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the determination unit 602 are specifically used for：It is associated tired to obtain the job characteristics
Lao Du and at the moment grow between correspondence；And for inquiring the correspondence, determine the current fatigue strength pair
The user answered is with the reference of at the moment a length of adaptation current physical condition of user at the moment growing.
In a possible example, determine that adaptation user is current according to the job characteristics and the fatigue strength described
Physical condition reference at the moment long side, the determination unit 602 are specifically used for：Preset job characteristics library is inquired, is obtained
Take the corresponding fatigue strength impact factor of the job characteristics, the fatigue strength impact factor be used to indicate the fatigue strength of user to
The at the moment long influence degree in family, the job characteristics library include the corresponding pass between job characteristics and fatigue strength impact factor
System；And for obtaining user using the benchmark of the electronic equipment at the moment growing；And for being used at the moment according to the benchmark
Long, the described fatigue strength impact factor and the current fatigue strength calculate the reference of the adaptation current physical condition of user at the moment
It is long.
In a possible example, described according to the benchmark at the moment long, described fatigue strength impact factor and institute
The reference at the moment long side that current fatigue strength calculates the adaptation current physical condition of user is stated, the determination unit 602 has
Body is used for：The reference of the adaptation current physical condition of user is calculated by following formula at the moment growing, t=T0-T0*a*p/P,
In, t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current fatigue strength, and P is highest
Fatigue strength.
In a possible example, the job characteristics of user and current are determined according to the eeg signal described
In terms of fatigue strength, the determination unit 602 is specifically used for：The current electroencephalogram of user is generated according to the eeg signal；
And the preset electroencephalogram set of inquiry, it obtains and the matched target electroencephalogram template of the current electroencephalogram and described
The corresponding job characteristics of target electroencephalogram template, the electroencephalogram set include corresponding between electroencephalogram template and job characteristics
Relationship；And the brain wave characteristic in the extraction current electroencephalogram for calculating fatigue strength；And according to the brain
Electric wave characteristic calculates the current fatigue strength of user.
Wherein, collecting unit 601 can be brain wave sensor, and determination unit 602, control unit 603 can be processing
Device.
The embodiment of the present application also provides a kind of computer storage media, wherein computer storage media storage is for electricity
The computer program that subdata exchanges, the computer program make computer execute any as described in above method embodiment
Some or all of method step, above computer include mobile terminal.
The embodiment of the present application also provides a kind of computer program product, and above computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, above computer program are operable to that computer is made to execute such as above-mentioned side
Some or all of either method described in method embodiment step.The computer program product can be a software installation
Packet, above computer includes mobile terminal.
It should be noted that for each method embodiment above-mentioned, for simple description, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, certain steps can be performed in other orders or simultaneously.Secondly, those skilled in the art should also know
It knows, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, for example, said units division, it is only a kind of
Division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The above-mentioned unit illustrated as separating component may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, you can be located at a place, or may be distributed over multiple
In network element.Some or all of unit therein can be selected according to the actual needs to realize the mesh of this embodiment scheme
's.
In addition, each functional unit in each embodiment of the application can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If above-mentioned integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can be stored in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment above method of the application
Step.And memory above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer-readable memory, memory
May include：Flash disk, read-only memory (English：Read-Only Memory, referred to as：ROM), random access device (English：
Random Access Memory, referred to as：RAM), disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
Meanwhile for those of ordinary skill in the art, according to the thought of the application, can in specific embodiments and applications
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (13)
1. a kind of electronic equipment, which is characterized in that including brain wave sensor, processor and memory, the brain wave sensing
Device, the memory are coupled with the processor, wherein
The brain wave sensor, for when the eyeshield operating mode of the electronic equipment enables, acquiring the brain wave of user
Signal；
The processor, the job characteristics for determining user according to the eeg signal and current fatigue strength；And it uses
In being determined the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；And it uses
The continuous use duration of the electronic equipment is no more than in control user described with reference to at the moment growing.
2. electronic equipment according to claim 1, which is characterized in that described according to the job characteristics and the fatigue
Degree determines the reference of the adaptation current physical condition of user at the moment long side, the processor are specifically used for：Acquisition is reported
The fatigue strength of industry feature association and at the moment grow between correspondence；And for inquiring the correspondence, determine described in
The corresponding user of current fatigue strength is with the reference of at the moment a length of adaptation current physical condition of user at the moment growing.
3. electronic equipment according to claim 2, which is characterized in that described according to the job characteristics and the fatigue
Degree determines the reference of the adaptation current physical condition of user at the moment long side, the processor are specifically used for：It inquires preset
Job characteristics library, obtains the corresponding fatigue strength impact factor of the job characteristics, and the fatigue strength impact factor is used to indicate use
For the fatigue strength at family to the at the moment long influence degree of user, the job characteristics library includes job characteristics and fatigue strength impact factor
Between correspondence；And for obtaining user using the benchmark of the electronic equipment at the moment growing；And for according to institute
It states benchmark and calculates the current physical condition of adaptation user at the moment long, described fatigue strength impact factor and the current fatigue strength
Reference at the moment growing.
4. electronic equipment according to claim 1, which is characterized in that described at the moment long, described according to benchmark use
Fatigue strength impact factor and the current fatigue strength calculate the reference at the moment long side of the adaptation current physical condition of user,
The processor is specifically used for：The reference of the adaptation current physical condition of user is calculated by following formula at the moment growing,
T=T0-T0*a*p/P,
Wherein, t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current fatigue strength, P
For highest fatigue strength.
5. according to claim 1-4 any one of them electronic equipments, which is characterized in that described according to the eeg signal
In terms of the job characteristics and the current fatigue strength that determine user, the processor is specifically used for：It is given birth to according to the eeg signal
At the current electroencephalogram of user；And for inquiring preset electroencephalogram set, acquisition is matched with the current electroencephalogram
Target electroencephalogram template and the corresponding job characteristics of the target electroencephalogram template, the electroencephalogram set include brain electricity
Correspondence between artwork plate and job characteristics；And for extracting in the current electroencephalogram for calculating fatigue strength
Brain wave characteristic；And the current fatigue strength for calculating user according to the brain wave characteristic.
6. a kind of apparatus control method, which is characterized in that be applied to electronic equipment, the electronic equipment includes brain wave sensing
Device, the method includes：
When detecting that the eyeshield operating mode of the electronic equipment enables, the brain electricity of user is acquired by the brain wave sensor
Wave signal；
The job characteristics of user and current fatigue strength are determined according to the eeg signal；
Determine the reference of the adaptation current physical condition of user at the moment growing according to the job characteristics and the fatigue strength；
Control user is no more than the continuous use duration of the electronic equipment described with reference to at the moment growing.
7. according to the method described in claim 6, it is characterized in that, described determine according to the job characteristics and the fatigue strength
The reference of the current physical condition of user is adapted to at the moment growing, including：
Obtain the associated fatigue strength of the job characteristics and at the moment grow between correspondence；
The correspondence is inquired, determines that the corresponding user of the current fatigue strength is current at the moment a length of adaptation user
Physical condition reference at the moment growing.
8. according to the method described in claim 6, it is characterized in that, described determine according to the job characteristics and the fatigue strength
The reference of the current physical condition of user is adapted to at the moment growing, including：
Preset job characteristics library is inquired, the corresponding fatigue strength impact factor of the job characteristics is obtained, the fatigue strength influences
The factor is used to indicate the fatigue strength of user to the at the moment long influence degree of user, the job characteristics library include job characteristics with
Correspondence between fatigue strength impact factor；
User is obtained using the benchmark of the electronic equipment at the moment growing；
It is current according to the benchmark at the moment long, described fatigue strength impact factor and the current fatigue strength calculating adaptation user
Physical condition reference at the moment growing.
9. according to the method described in claim 8, it is characterized in that, described according to the benchmark at the moment long, described fatigue strength
Impact factor and the current fatigue strength calculate the reference of the adaptation current physical condition of user at the moment growing, including：
The reference of the adaptation current physical condition of user is calculated by following formula at the moment growing,
T=T0-T0*a*p/P,
Wherein, t is with reference to at the moment growing, and at the moment growing on the basis of T0, a is fatigue strength impact factor, and p is current fatigue strength, P
For highest fatigue strength.
10. according to claim 6-9 any one of them methods, which is characterized in that described to be determined according to the eeg signal
The job characteristics of user and current fatigue strength, including：
The current electroencephalogram of user is generated according to the eeg signal；
It inquires preset electroencephalogram set, obtains and the matched target electroencephalogram template of the current electroencephalogram and described
The corresponding job characteristics of target electroencephalogram template, the electroencephalogram set include corresponding between electroencephalogram template and job characteristics
Relationship；
Extract the brain wave characteristic for calculating fatigue strength in the current electroencephalogram；
The current fatigue strength of user is calculated according to the brain wave characteristic.
11. a kind of plant control unit, which is characterized in that including being applied to electronic equipment, the electronic equipment includes brain wave
Sensor, the plant control unit include collecting unit, determination unit and control unit, wherein
The collecting unit is passed when for detecting that the eyeshield operating mode of the electronic equipment is enabled by the brain wave
Sensor acquires the eeg signal of user；
The determination unit, the job characteristics for determining user according to the eeg signal and current fatigue strength；
The determination unit is additionally operable to determine the current physical condition of adaptation user according to the job characteristics and the fatigue strength
Reference at the moment growing；
Described control unit is no more than the reference at the moment for controlling user to the continuous use duration of the electronic equipment
It is long.
12. a kind of electronic equipment, which is characterized in that including processor, memory, communication interface, and one or more programs,
One or more of programs are stored in the memory, and are configured to be executed by the processor, described program packet
It includes for executing the instruction such as the step in claim 6-10 any one of them methods.
13. a kind of computer readable storage medium, which is characterized in that computer program of the storage for electronic data interchange,
In, the computer program makes computer execute such as claim 6-10 any one of them methods.
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| CN113051014A (en) * | 2021-03-23 | 2021-06-29 | 展讯通信(天津)有限公司 | Eye protection prompting method and device, storage medium and computer equipment |
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