CN109464152A - Detection method, equipment and the computer readable storage medium of brain fatigue state - Google Patents
Detection method, equipment and the computer readable storage medium of brain fatigue state Download PDFInfo
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Abstract
The invention discloses detection method, equipment and the computer readable storage mediums of a kind of brain fatigue state, and the method comprising the steps of: obtaining the user corresponding focus index of preset time point and meditation degree index in the first preset duration；The difference between the corresponding focus index of each preset time point and the meditation degree index is calculated, and calculates first probability of the difference in the first preset range；If first probability is less than first threshold, then determine that user's brain is in a state of fatigue, outputting alarm information, so that user is in waking state, avoid user in a state of fatigue due to its brain, lead to traffic accident, reduces traffic accident probability caused by driving due to human fatigue.
Description
Technical field
The present invention relates to electronic technology field more particularly to a kind of detection method, equipment and the calculating of brain fatigue state
Machine readable storage medium storing program for executing.
Background technique
In the world, fatigue driving is to lead to the one of the major reasons of traffic accidents.When user's brain is in
When fatigue state, user understands fatigue driving, and will lead to driver attention can not concentrate, reflect speed decline, to the behaviour of vehicle
Power decline is controlled, and then leads to traffic accident.
Summary of the invention
The main purpose of the present invention is to provide a kind of detection method of brain fatigue state, equipment and computer-readable deposit
Storage media, it is intended to solve existing since user's brain technology in a state of fatigue for causing traffic accident probability of happening high is asked
Topic.
To achieve the above object, the present invention provides a kind of detection method of brain fatigue state, the brain fatigue state
Detection method comprising steps of
Obtain the user corresponding focus index of preset time point and meditation degree index in the first preset duration；
The difference between the corresponding focus index of each preset time point and the meditation degree index is calculated, and is counted
Calculate first probability of the difference in the first preset range；
If first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information.
Preferably, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, output
The step of warning information includes:
If first probability is less than first threshold, second probability of the difference in the second preset range is calculated,
Wherein, the lower limit value of second preset range is greater than the upper limit value of first preset range；
If second probability is greater than second threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information,
In, the second threshold is greater than the first threshold.
Preferably, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, output
The step of warning information includes:
If first probability is less than first threshold, number of winks of the user in the second preset duration is obtained；
If the number of winks is greater than the first preset times, it is determined that user's brain is in a state of fatigue, outputting alarm letter
Breath.
Preferably, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, output
The step of warning information includes:
If first probability is less than first threshold, the eeg signal of user is obtained, and determines the brain wave letter
The rhythm and pace of moving things of leading role is in number；
If the wave band to play a leading role in the eeg signal is δ wave and/or θ wave, it is determined that user's brain is in tired
Labor state, outputting alarm information.
Preferably, if first probability is less than first threshold, the eeg signal of user is obtained, and determine institute
State in eeg signal be in leading role the rhythm and pace of moving things the step of include:
If first probability be less than first threshold, obtain the eeg signal of user, to the eeg signal into
Row filtering processing, obtains the filtered eeg signal；
Determine the wave band that leading role is in the filtered eeg signal.
Preferably, the step of first probability for calculating the difference in the first preset range includes:
Calculate quantity of the difference in first preset range；
By the quantity divided by the total number of the difference, first of the difference in first preset range is obtained
Probability.
Preferably, the acquisition user corresponding focus index of preset time point and meditation degree in the first preset duration
Before the step of index, further includes:
After detecting the setting that the warning information is set instruction, the alarm is arranged according to setting instruction and is believed
Breath, and store the warning information.
Preferably, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, output
After the step of warning information, further includes:
Obtain the pre-stored mitigation scheme for alleviating brain fatigue, and export the mitigation scheme, for user according to
The mitigation scheme alleviates the degree of fatigue of brain.
In addition, to achieve the above object, the present invention also provides a kind of detection device of brain fatigue state, the brain is tired
The detection device of labor state includes memory, processor and is stored on the memory and can run on the processor
The detection program of the detection program of brain fatigue state, the brain fatigue state realizes institute as above when being executed by the processor
The step of detection method for the brain fatigue state stated.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
The detection program of brain fatigue state is stored on storage medium, the detection program of the brain fatigue state is executed by processor
The step of detection method of Shi Shixian brain fatigue state as described above.
The present invention is by obtaining the user corresponding focus index of preset time point and meditation degree in the first preset duration
Index；The difference between the corresponding focus index of each preset time point and meditation degree index is calculated, and calculates the difference and exists
The first probability in first preset range；If the first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
Warning information reminds user to avoid user since its brain is in a state of fatigue so that user is in waking state, cause to hand over out
The generation of interpreter's event reduces traffic accident probability caused by driving due to human fatigue.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of the detection method first embodiment of brain fatigue state of the present invention；
If Fig. 3 is that first probability is less than first threshold in the embodiment of the present invention, it is determined that user's brain is in fatigue
State, a kind of flow diagram of outputting alarm information；
If Fig. 4 is that first probability is less than first threshold in the embodiment of the present invention, it is determined that user's brain is in fatigue
State, another flow diagram of outputting alarm information；
Fig. 5 is the flow diagram of the detection method fourth embodiment of brain fatigue state of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
As shown in Figure 1, Fig. 1 is the structural schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
It should be noted that Fig. 1 can be the structural representation of the hardware running environment of the detection device of brain fatigue state
Figure.The detection device of brain fatigue state of the embodiment of the present invention can be PC, the terminal devices such as portable computer.
As shown in Figure 1, the detection device of the brain fatigue state may include: processor 1001, such as CPU, network is connect
Mouth 1004, user interface 1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is for realizing these components
Between connection communication.User interface 1003 may include display screen (Display), input unit such as keyboard
(Keyboard), optional user interface 1003 can also include standard wireline interface and wireless interface.Network interface 1004 is optional
May include standard wireline interface and wireless interface (such as WI-FI interface).Memory 1005 can be high speed RAM memory,
It is also possible to stable memory (non-volatile memory), such as magnetic disk storage.Memory 1005 optionally may be used also
To be independently of the storage device of aforementioned processor 1001.
It will be understood by those skilled in the art that the assay device structures of brain fatigue state shown in Fig. 1 are not constituted
Restriction to the detection device of brain fatigue state may include than illustrating more or fewer components, or the certain portions of combination
Part or different component layouts.
As shown in Figure 1, as may include that operating system, network are logical in a kind of memory 1005 of computer storage medium
Believe the detection program of module, Subscriber Interface Module SIM and brain fatigue state.Wherein, operating system is that manage and control brain tired
The program of the detection device hardware and software resource of labor state, support brain fatigue state detection program and other softwares or
The operation of program.
In the detection device of brain fatigue state shown in Fig. 1, user interface 1003 is mainly used for receiving detection instruction
With setting instruction etc.；Network interface 1004 is mainly used for connecting background server, carries out data communication with background server, such as obtains
It takes pre-stored warning information and alleviates the mitigation scheme of brain fatigue；And processor 1001 can be used for calling memory
The detection program of the brain fatigue state stored in 1005, and execute following operation:
Obtain the user corresponding focus index of preset time point and meditation degree index in the first preset duration；
The difference between the corresponding focus index of each preset time point and the meditation degree index is calculated, and is counted
Calculate first probability of the difference in the first preset range；
If first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, second probability of the difference in the second preset range is calculated,
Wherein, the lower limit value of second preset range is greater than the upper limit value of first preset range；
If second probability is greater than second threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information,
In, the second threshold is greater than the first threshold.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, number of winks of the user in the second preset duration is obtained；
If the number of winks is greater than the first preset times, it is determined that user's brain is in a state of fatigue, outputting alarm letter
Breath.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, the eeg signal of user is obtained, and determines the brain wave letter
The rhythm and pace of moving things of leading role is in number；
If the wave band to play a leading role in the eeg signal is δ wave and/or θ wave, it is determined that user's brain is in tired
Labor state, outputting alarm information.
Further, if first probability is less than first threshold, the eeg signal of user is obtained, and determine
In the eeg signal be in leading role the rhythm and pace of moving things the step of include:
If first probability be less than first threshold, obtain the eeg signal of user, to the eeg signal into
Row filtering processing, obtains the filtered eeg signal；
Determine the wave band that leading role is in the filtered eeg signal.
Further, the step of first probability for calculating the difference in the first preset range includes:
Calculate quantity of the difference in first preset range；
By the quantity divided by the total number of the difference, first of the difference in first preset range is obtained
Probability.
Further, the acquisition user corresponding focus index of preset time point and meditation in the first preset duration
Before the step of spending index, processor 1001 can be also used for calling the detection of the brain fatigue state stored in memory 1005
Program, and execute following steps:
After detecting the setting that the warning information is set instruction, the alarm is arranged according to setting instruction and is believed
Breath, and store the warning information.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
Out after the step of warning information, and execute following steps:
Obtain the pre-stored mitigation scheme for alleviating brain fatigue, and export the mitigation scheme, for user according to
The mitigation scheme alleviates the degree of fatigue of brain.
Based on above-mentioned structure, each embodiment of the detection method of brain fatigue state is proposed.
It is the flow diagram of the detection method first embodiment of brain fatigue state of the present invention referring to Fig. 2, Fig. 2.
The embodiment of the invention provides the embodiments of the detection method of brain fatigue state, it should be noted that although
Logical order is shown in flow chart, but in some cases, it can be to be different from shown by sequence execution herein or retouch
The step of stating.
The detection method of brain fatigue state can be applied in terminal or server, terminal may include such as mobile phone,
Wearable device, tablet computer, laptop, palm PC, personal digital assistant (Personal Digital
Assistant, PDA), etc. the fixed terminals such as mobile terminals, and number TV, desktop computer.Brain fatigue state
In each embodiment of detection method, for ease of description, omits executing subject and be illustrated each embodiment.
The detection method of brain fatigue state includes:
Step S10 obtains the user corresponding focus index of preset time point and meditation degree in the first preset duration and refers to
Number.
After detecting detection user's brain detection instruction whether in a state of fatigue, is started according to the detection instruction and examined
Device is surveyed, the user corresponding focus index of preset time point and meditation in the first preset duration are obtained by the detection device
Spend index.Wherein, detection device may be provided in earphone, when the earphone is connect with terminal or other can be connect with the earphone
Equipment connection when, the earphone can get user focus index and meditation degree index.In detection device, it is equipped with
Brain-wave sensor obtains the focus index and meditation degree index of user by the brain-wave sensor.The detection instruction can by with
Family is triggered as needed or automatic trigger.Such as when detection device is earphone, user is driven in vehicle processes, Yong Huke
The detection instruction is triggered in the terminal that perhaps earphone is connected in earphone manually or when user wears the earphone, automatically
The detection instruction is triggered, at this point, vehicle and earphone counterpart terminal are in connection status.Specifically, which can connect with vehicle
Connecing perhaps vehicle and connecting vehicle with earphone counterpart terminal can be connect with the terminal by modes such as WiFi or bluetooths.
Focus " Attention " index, this signless byte value show user it is current " focus refers to
The intensity of number ", i.e. user spiritual " concentration degree " level or " attention value " level, for example, being absorbed in when you are able to enter height
State and the psychological activity that can steadily control you, the value of the index will be very high.In the present embodiment, focus is referred to
Several value ranges are set as 0 to 100.Upset when user is in, the spiritual shape such as absent-minded, distraction and anxiety
When state, the numerical value of focus index can be reduced.Meditation degree " Meditation " index, this signless byte value show
User's current " meditation degree index ", i.e., user's spiritual " tranquil degree " is horizontal or " meditation degree " is horizontal.In the present embodiment, it meditates
The value range of degree index is set as 0 to 100.It should be noted that meditation degree index reflection be user the state of mind, without
It is its physical condition, so, simply progress whole-body muscle, which loosens, can not rapidly improve meditation degree index.However, to big
For majority, under normal circumstances, carries out physical relaxation and typically facilitate loosening for the state of mind.Upset, spirit
Dimly, anxiety, the state of mind and stimulus to the sense organ etc. such as ferment will all reduce the numerical value of meditation degree index.Usual each second
It can get a focus index and meditation degree index.
First preset duration is arranged according to specific needs, such as can be set to 1 minute, 3 minutes or 30 minutes.
Preset time o'clock is arranged according to the length of time of the first preset duration, such as when the first preset duration be 1 minute when, can this 1
Minute, at interval of the one preset time point of setting in 3 seconds；When the first preset duration be 3 minutes when, can in this 3 minutes, at interval of
The one preset time point of setting in 5 seconds.It should be noted that the corresponding focus index of a preset time point and meditation degree refer to
Number.
Step S20 is calculated between the corresponding focus index of each preset time point and the meditation degree index
Difference, and calculate first probability of the difference in the first preset range.
After getting the corresponding focus index of each preset time point and meditation degree index, each preset time is calculated
Difference between the corresponding focus index of point and meditation degree index.When the corresponding focus of each preset time point is calculated
After difference between index and meditation degree index, probability of the difference in the first preset range is calculated, and the probability is denoted as
First probability.Wherein, the corresponding upper limit value of the first preset range and lower limit value are to be in tired by obtaining the brain of a large number of users
When labor state, determined by the difference between focus index and meditation degree index, in the present embodiment to the first preset range
Upper limit value and lower limit value are not particularly limited.
Further, the step of calculating the first probability of the difference in the first preset range include:
Step a calculates quantity of the difference in first preset range.
Step b obtains the difference in first preset range by the quantity divided by the total number of the difference
The first probability.
Process of the calculating difference in the first probability of the first preset range are as follows: calculate the difference in the first preset range
Quantity judges that the difference between focus index and meditation degree index is more than or equal to the lower limit value of the first preset range,
Less than or equal to the quantity of the upper limit value of the first preset range.When quantity of the difference in the first preset range is calculated
Afterwards, which is obtained into difference in the first probability of the first preset range divided by the total number of difference.It is understood that poor
The total number of value is equal to the number of acquired focus index, and the number equal to acquired meditation degree index.
Step S30, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, and output is accused
Alert information.
After the first probability is calculated, judge whether the first probability is less than first threshold.If the first probability is less than first
Threshold value, it is determined that user's brain is in a state of fatigue.Wherein, first threshold is in a state of fatigue by detection user's brain
Experiment gained.After determining that user's brain is in a state of fatigue, obtain pre-stored warning information, export the warning information with
User is reminded, so that user is in waking state, which is to pre-set, and has the tinkle of bells of warning function as exported.
Specifically, which oneself can export the warning information.When terminal is connect with vehicle, terminal can also send the warning information
To vehicle.After the vehicle receives warning information, the warning information is exported.
Further, when determining that the first probability is more than or equal to first threshold, determine that user's brain is in non-fatigue
State, at this point, continuing to obtain the corresponding focus index of user and meditation degree index.
The present embodiment is by obtaining the user corresponding focus index of preset time point and meditation in the first preset duration
Spend index；The difference between the corresponding focus index of each preset time point and meditation degree index is calculated, and calculates the difference
The first probability in the first preset range；If the first probability is less than first threshold, it is determined that user's brain is in a state of fatigue,
Outputting alarm information reminding user avoids user since its brain is in a state of fatigue, causes so that user is in waking state
Traffic accident reduces traffic accident probability caused by driving due to human fatigue.
Further, the detection method second embodiment of brain fatigue state of the present invention is proposed.
The detection method first of the detection method second embodiment of the brain fatigue state and the brain fatigue state
The difference of embodiment is, includes: referring to Fig. 3, step S30
Step S31 calculates the of the difference in the second preset range if first probability is less than first threshold
Two probability, wherein the lower limit value of second preset range is greater than the upper limit value of first preset range.
After determining that the first probability is less than first threshold, difference between meditation degree index and focus index is calculated the
Probability in two preset ranges, and probability of the difference in the second preset range is denoted as the second probability.Wherein, second is default
The lower limit value of range is greater than the upper limit value of the first preset range.The determination method and the first preset range of second preset range are really
It is identical to determine method, is no longer described in detail in the present embodiment.The difference is calculated in the second probability of the second preset range and is calculated
The method of first probability of the difference in the first preset range is identical, is no longer described in detail in the present embodiment.
Step S32, if second probability is greater than second threshold, it is determined that user's brain is in a state of fatigue, and output is accused
Alert information, wherein the second threshold is greater than the first threshold.
After the second probability is calculated, judge whether second probability is greater than second threshold.Wherein, second threshold is greater than
First threshold, the determination method of second threshold and the determination method of first threshold are identical, repeat no more in the present embodiment.If really
Fixed second probability is greater than second threshold, it is determined that and user's brain is in a state of fatigue, and obtains the warning information pre-set,
Export the warning information.If it is determined that the second probability is less than or equal to second threshold, it is determined that user's brain is in non-tired shape
State.
Further, step S30 further include:
Step c obtains user's blink in the second preset duration time if first probability is less than first threshold
Number.
If it is determined that the first probability is less than first threshold, then number of winks of the user in the second preset duration is obtained.Wherein,
Second preset duration is arranged according to specific needs, such as may be configured as 1 minute, 3 minutes or 7 minutes etc..Specifically, can lead to
The camera crossed in terminal records video of the user in the second preset duration, or the record of the camera by being installed in vehicle
Video of the user processed in the second preset duration, blink of the extraction user in the second preset duration in the video recorded
Number.It should be noted that when the camera by being installed in vehicle records video of the user in the second preset duration,
Camera installation is in the car convenient for the position of recording user face video.
Step d, if the number of winks is greater than the first preset times, it is determined that user's brain is in a state of fatigue, output
Warning information.
After getting number of winks of the user in the second preset duration, it is default to judge whether number of winks is greater than first
Number.Wherein, the first preset times are arranged according to specific needs, corresponding to the first preset times specific in the present embodiment
Numerical value is with no restrictions.It is understood that the second preset duration corresponding time is longer, corresponding first preset times are bigger.
When determining that number of winks is less than or equal to the first preset times, determine that user's brain is in non-fatigue state.
It should be noted that can also be by obtaining number of shaking the head, palmic rate and the blood of user within a certain period of time
The data such as pressure determine whether user's brain is in a state of fatigue.Wherein, number of shaking the head includes the number of nodding of user.
The present embodiment further obtains the second probability and/or user after by determining that the first probability is less than first threshold
Number of winks within a certain period of time determines whether user's brain is in tired shape according to the second probability and/or number of winks
State improves the accuracy for judging whether user's brain is in a state of fatigue.
Further, the detection method 3rd embodiment of brain fatigue state of the present invention is proposed.
The detection method first of the detection method 3rd embodiment of the brain fatigue state and the brain fatigue state
Or the difference of second embodiment is, referring to Fig. 4, step S30 further include:
Step S33 obtains the eeg signal of user, and described in determination if first probability is less than first threshold
The wave band of leading role is in eeg signal.
If it is determined that the first probability is less than first threshold, then the current eeg signal of user is obtained, and determines brain wave letter
The rhythm and pace of moving things of leading role is in number.Specifically, the current brain electricity of user can be obtained by the brain-wave sensor in detection device
Wave signal.Brain wave is some spontaneous rhythmic neural electrical activities, and frequency variation range is between 1-30 times per second
, four wave bands, i.e. δ wave, θ wave, α wave and β wave, the corresponding frequency range of δ wave can be divided into are as follows: 1-3Hz (hertz), θ wave pair
The frequency range answered are as follows: the corresponding frequency range of 4-7Hz, α wave are as follows: the corresponding frequency range of 8-13Hz, β wave are as follows: 14-
30Hz.Since the different corresponding frequencies of wave band is different, pass through the corresponding frequency of Frequency point each in eeg signal
It can determine the wave band that leading role is in eeg signal.Specifically, in acquired eeg signal, if some
Or the probability of occurrence of certain two wave band respective frequencies is greater than the probability of occurrence of other wave band respective frequencies, it is determined that brain wave
The wave band that the probability of occurrence of signal intermediate frequency rate is greater than the probability of occurrence of other wave band respective frequencies is the wave band in leading role.
If in eeg signal, the probability of occurrence of δ wave and θ wave respective frequencies is greater than α wave and β wave, it is determined that δ wave and θ wave are electric for brain
The wave band of leading role is in wave signal.
Step S34, if the wave band to play a leading role in the eeg signal is δ wave and/or θ wave, it is determined that user's brain
Portion is in a state of fatigue, outputting alarm information.
After determining the wave band for being in leading role in eeg signal, judge to be in leading role in eeg signal
Whether wave band is δ wave and/or θ wave.If it is determined that being in the wave band of leading role in eeg signal for δ wave and/or θ wave, then really
It is in a state of fatigue to determine user's brain, outputting alarm information.If it is determined that the wave band in eeg signal in leading role is not δ
Wave and/or θ wave, it is determined that user's brain is in non-fatigue state.
Further, step S33 includes:
Step e obtains the eeg signal of user, to the brain wave if first probability is less than first threshold
Signal is filtered, and obtains the filtered eeg signal.
Step f determines the wave band that leading role is in the filtered eeg signal.
Further, in order to improve the accuracy of the wave band in determining eeg signal in leading role, when determining the
After one probability is less than first threshold, the current eeg signal of user is obtained, eeg signal is filtered, is filtered
Eeg signal after wave.It should be noted that other noises can be reduced to brain by being filtered to eeg signal
The interference of electric wave signal.It include but is not limited to bandpass filtering and low-pass filtering to the method that eeg signal is filtered.
After the present embodiment is by determining that the first probability is less than first threshold, further determine that in eeg signal in leading
The wave band of effect determines whether user's brain is in a state of fatigue, mentions according to the wave band for being in leading role in eeg signal
High determining user's brain accuracy in a state of fatigue.
Further, in order to improve the accuracy in a state of fatigue of determining user's brain, it can determine that the first probability is small
After first threshold, judge whether the second probability is greater than second threshold；When the second probability is greater than second threshold, blink time is judged
Whether number is greater than the first preset times；When determining number of winks greater than the first preset times, judge in eeg signal in master
Whether the wave band for leading effect is δ wave and/or θ wave；When determining that the wave band that plays a leading role in eeg signal is δ wave and/or θ wave
When, determine that user's brain is in a state of fatigue.
Further, the detection method fourth embodiment of brain fatigue state of the present invention is proposed.
The detection method first of the detection method fourth embodiment of the brain fatigue state and the brain fatigue state,
The difference of second or third embodiments is, referring to Fig. 5, the detection method of brain fatigue state further include:
Step S40 obtains the pre-stored mitigation scheme for alleviating brain fatigue, and exports the mitigation scheme, for
User alleviates the degree of fatigue of brain according to the mitigation scheme.
After determining that user's brain is in a state of fatigue, the pre-stored mitigation scheme for alleviating brain fatigue is obtained, and
The mitigation scheme is exported, so that user is according to the degree of fatigue of mitigation scheme alleviation brain.Specifically, can by terminal or
Vehicle exports the mitigation scheme.The side such as voice or text can be passed through during perhaps vehicle exports the mitigation scheme to terminal
Formula exports the mitigation scheme.The mitigation scheme can are as follows: lightly has a suck of gas with nose, expects and oneself be included in metagalaxy all are agile
Gas, exhaled at leisure with mouth without a break, expect oneself spue physically and mentally all foul objects, drink bitter taste coffee, have tea or eat
Chocolate etc..
The present embodiment by when determine user's brain it is in a state of fatigue after, output alleviate brain fatigue mitigation scheme,
So that user is according to the degree of fatigue of mitigation scheme alleviation brain, in order to which user quickly makes oneself brain be in non-tired shape
State.
Further, the detection method of brain fatigue state further include:
The announcement is arranged according to the setting instruction after detecting the setting that the warning information is arranged instruction in step h
Alert information, and store the warning information.
After detecting the setting instruction of setting warning information, setting warning information is instructed according to the setting, and storing should
Warning information.Wherein, setting instruction can be triggered as needed in terminal corresponding with detection device by user.It is being arranged
During warning information, user can set warning information for certain section of music or certain section of voice as needed, which can be
User oneself input.
Further, in the terminal, the warning information of default has been pre-set.If the not set warning information of user, when
When determining that user's brain is in a state of fatigue, the warning information for exporting the default can be reminded user by terminal.
The present embodiment is realized and is arranged according to user preferences by the setting instruction setting warning information triggered according to user
Warning information, in order in outputting alarm information, reach preferably alarm effect.
In addition, the embodiment of the present invention also proposes a kind of computer readable storage medium, the computer readable storage medium
On be stored with the detection program of brain fatigue state, realized such as when the detection program of the brain fatigue state is executed by processor
Lower step:
Obtain the user corresponding focus index of preset time point and meditation degree index in the first preset duration；
The difference between the corresponding focus index of each preset time point and the meditation degree index is calculated, and is counted
Calculate first probability of the difference in the first preset range；
If first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, second probability of the difference in the second preset range is calculated,
Wherein, the lower limit value of second preset range is greater than the upper limit value of first preset range；
If second probability is greater than second threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information,
In, the second threshold is greater than the first threshold.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, number of winks of the user in the second preset duration is obtained；
If the number of winks is greater than the first preset times, it is determined that user's brain is in a state of fatigue, outputting alarm letter
Breath.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
The step of warning information includes: out
If first probability is less than first threshold, the eeg signal of user is obtained, and determines the brain wave letter
The rhythm and pace of moving things of leading role is in number；
If the wave band to play a leading role in the eeg signal is δ wave and/or θ wave, it is determined that user's brain is in tired
Labor state, outputting alarm information.
Further, if first probability is less than first threshold, the eeg signal of user is obtained, and determine
In the eeg signal be in leading role the rhythm and pace of moving things the step of include:
If first probability be less than first threshold, obtain the eeg signal of user, to the eeg signal into
Row filtering processing, obtains the filtered eeg signal；
Determine the wave band that leading role is in the filtered eeg signal.
Further, the step of first probability for calculating the difference in the first preset range includes:
Calculate quantity of the difference in first preset range；
By the quantity divided by the total number of the difference, first of the difference in first preset range is obtained
Probability.
Further, the acquisition user corresponding focus index of preset time point and meditation in the first preset duration
Before the step of spending index, the detection program of the brain fatigue state realizes following steps when being executed by processor:
After detecting the setting that the warning information is set instruction, the alarm is arranged according to setting instruction and is believed
Breath, and store the warning information.
Further, if first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, defeated
Out after the step of warning information, the detection program of the brain fatigue state realizes following steps when being executed by processor:
Obtain the pre-stored mitigation scheme for alleviating brain fatigue, and export the mitigation scheme, for user according to
The mitigation scheme alleviates the degree of fatigue of brain.
Each reality of detection method of computer readable storage medium specific embodiment of the present invention and above-mentioned brain fatigue state
It is essentially identical to apply example, details are not described herein.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, computer, clothes
Business device, air conditioner or the network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of detection method of brain fatigue state, which is characterized in that the detection method of the brain fatigue state include with
Lower step:
Obtain the user corresponding focus index of preset time point and meditation degree index in the first preset duration；
The difference between the corresponding focus index of each preset time point and the meditation degree index is calculated, and calculates institute
State first probability of the difference in the first preset range；
If first probability is less than first threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information.
2. the detection method of brain fatigue state as described in claim 1, which is characterized in that if first probability is small
In first threshold, it is determined that user's brain is in a state of fatigue, and the step of outputting alarm information includes:
If first probability is less than first threshold, second probability of the difference in the second preset range is calculated, wherein
The lower limit value of second preset range is greater than the upper limit value of first preset range；
If second probability is greater than second threshold, it is determined that user's brain is in a state of fatigue, outputting alarm information, wherein
The second threshold is greater than the first threshold.
3. the detection method of brain fatigue state as described in claim 1, which is characterized in that if first probability is small
In first threshold, it is determined that user's brain is in a state of fatigue, and the step of outputting alarm information includes:
If first probability is less than first threshold, number of winks of the user in the second preset duration is obtained；
If the number of winks is greater than the first preset times, it is determined that user's brain is in a state of fatigue, outputting alarm information.
4. the detection method of brain fatigue state as described in claim 1, which is characterized in that if first probability is small
In first threshold, it is determined that user's brain is in a state of fatigue, and the step of outputting alarm information includes:
If first probability is less than first threshold, the eeg signal of user is obtained, and determine in the eeg signal
The rhythm and pace of moving things in leading role；
If the wave band to play a leading role in the eeg signal is δ wave and/or θ wave, it is determined that user's brain is in tired shape
State, outputting alarm information.
5. the detection method of brain fatigue state as claimed in claim 4, which is characterized in that if first probability is small
In first threshold, then the eeg signal of user is obtained, and determines the rhythm and pace of moving things for being in leading role in the eeg signal
Step includes:
If first probability is less than first threshold, the eeg signal of user is obtained, the eeg signal is filtered
Wave processing, obtains the filtered eeg signal；
Determine the wave band that leading role is in the filtered eeg signal.
6. the detection method of brain fatigue state as described in claim 1, which is characterized in that described to calculate the difference the
The step of the first probability in one preset range includes:
Calculate quantity of the difference in first preset range；
By the quantity divided by the total number of the difference, it is first general in first preset range to obtain the difference
Rate.
7. the detection method of brain fatigue state as described in claim 1, which is characterized in that the acquisition user is pre- first
If in duration the corresponding focus index of preset time point and the step of meditation degree index before, further includes:
After detecting the setting that the warning information is set instruction, the warning information is arranged according to setting instruction, and
Store the warning information.
8. the detection method of brain fatigue state as described in any one of claim 1 to 7, which is characterized in that if described
First probability is less than first threshold, it is determined that user's brain is in a state of fatigue, the step of outputting alarm information after, also wrap
It includes:
The pre-stored mitigation scheme for alleviating brain fatigue is obtained, and exports the mitigation scheme, so that user is according to described
The degree of fatigue of mitigation scheme alleviation brain.
9. a kind of detection device of brain fatigue state, which is characterized in that the detection device of the brain fatigue state includes depositing
Reservoir, processor and the detection journey for being stored in the brain fatigue state that can be run on the memory and on the processor
It is realized as described in any one of claims 1 to 8 when the detection program of sequence, the brain fatigue state is executed by the processor
Brain fatigue state detection method the step of.
10. a kind of computer readable storage medium, which is characterized in that it is tired to be stored with brain on the computer readable storage medium
It is realized when the detection program of the detection program of labor state, the brain fatigue state is executed by processor as in claim 1 to 8
The step of detection method of described in any item brain fatigue states.
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