CN105615878A

CN105615878A - Fatigue driving electroencephalographic monitoring method

Info

Publication number: CN105615878A
Application number: CN201610136802.4A
Authority: CN
Inventors: 汪梅; 程松; 贺开明; 高唱
Original assignee: Xian University of Science and Technology
Current assignee: Xian University of Science and Technology
Priority date: 2016-03-10
Filing date: 2016-03-10
Publication date: 2016-06-01
Anticipated expiration: 2036-03-10
Also published as: CN105615878B

Abstract

The invention discloses a fatigue driving electroencephalographic monitoring method. The method includes steps: firstly, device connection and parameter initialization, to be more specific, connecting an electroencephalographic signal acquisition device to an electroencephalographic signal monitoring terminal, and setting fatigue step parameters; secondly, electroencephalographic signal acquisition, to be more specific, using the electroencephalographic signal acquisition device for acquiring and preprocessing electroencephalographic signals of a driver and synchronously transmitting the electroencephalographic signals to the electroencephalographic signal monitoring terminal; thirdly, electroencephalographic signal analytical processing, to be more specific, using the electroencephalographic signal monitoring terminal for calling an electrooculogram judgment module to analytically process the electroencephalographic signals acquired and preprocessed by the electroencephalographic signal acquisition device, namely blink frequency judgment threshold determination, electroencephalographic signal analytical processing before fatigue driving judgment and electroencephalographic signal analytical processing after starting of fatigue driving judgment. The fatigue driving electroencephalographic monitoring method has the advantages of simple procedures, reasonable design, convenience in implementation, effectiveness and simplicity, convenience, quickness and timeliness in accurate monitoring of a fatigue driving state of the driver.

Description

A kind of fatigue driving brain pyroelectric monitor method

Technical field

The invention belongs to brain wave monitoring technical field, especially relate to a kind of fatigue driving brain pyroelectric monitor method.

Background technology

Along with the development of China's economic society, the growth that highway in China Road construction is advanced by leaps and bounds, the quantity of automobile and officer also rapidly increases thereupon, and while offering convenience to daily life, the frequent generation of traffic accident also brings great loss to society. Nowadays, the generation reducing traffic accident and the various technique means reducing loss of life and personal injury are all applied and are given birth to, the current fatigue detecting means being used at most are that officer drives behavioural analysis, namely by recording and resolve driver turn bearing circle, step on the behavioural characteristics such as brake, differentiate that whether officer is tired; But this kind of mode is very big by the impact of driver custom, it does not have unified, science and effective decision theory support. Another class fatigue detection method is, by image analysis means, officer face and eye feature are carried out Fatigue Assessment, whether this kind of method analyzes current driver's by image variants system tired, there is certain real-time, but still there is no general applicability, because everyone biological characteristic is different, the external manifestation of somebody's eyes can not represent the mental status this moment, so also there is very big error; In addition, the image variants system of this kind of method employing mainly comprises the fatigue driving detecting system based on ARM, hangers piece formula fatigue alerting device, watch style fatigue driving detecting system, the touch fatigue driving detecting system of bearing circle etc. at present, wherein fatigue driving detecting system Problems existing based on ARM is that System's composition is too numerous and diverse, function singleness, and poor reliability; The function of hangers piece formula fatigue alerting device is very simple, bows and just reports to the police, but considers to doze off and not necessarily just bow, and the comparison that the feature of bowing that causes of drowsiness occurs is late, and thus real-time is not so good; What watch style fatigue driving detecting system utilized pulse beats whether estimate people tired, it does not have the scientific basis of the theory support of science and authority, and can not solve problem sleeping suddenly; The touch fatigue driving detecting system utilization of bearing circle is installed some sensors on the steering wheel and is come whether perception officer holds bearing circle, and whether officer holds bearing circle and tired state not direct relation in essence, and after sensor is installed, make bearing circle inconvenient operation.

In addition, it is all measure before driving or after driving mostly that currently used fatigue drives detection means, is advanced or delayed, and non real-time, moreover settles complicated detecting instrument to be also very difficult in the limited space of wheel house; And, the mental status that officer departs from wheel house or do not enter wheel house is different. Therefore, the fatigue driving monitoring method developing a set of vehicle-mounted, real-time driver fatigue detection system and correspondence has become the target that domestic and international experts and scholars pursue jointly.

Summary of the invention

Technical problem to be solved by this invention is for above-mentioned deficiency of the prior art, a kind of fatigue driving brain pyroelectric monitor method is provided, its method steps is simple, reasonable in design and realization is convenient, result of use is good, accurate measurements can be carried out, practical value height by fatigue driving state to officer easy, quick, real-time.

For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of fatigue driving brain pyroelectric monitor method, it is characterised in that: the method comprises the following steps:

Step one, equipment connection and parameter initialization: EEG signals acquisition device is connected with EEG signals monitoring terminal, and by the master control chip of EEG signals monitoring terminal, tired step parameter s _ c is set; Now, the numerical value of tired step parameter s _ c is 0;

Described EEG signals acquisition device is MindwaveMobile brain cubic earphone or TGAM module; Described EEG signals monitoring device comprises master control chip and the clock circuit being connected respectively and alarm unit with master control chip;

Step 2, eeg signal collection: adopt EEG signals acquisition device and according to the sample frequency set in advance, the eeg signal of officer is gathered and pre-treatment, and pretreated eeg signal is synchronously sent to EEG signals monitoring terminal;

Described eeg signal comprises original eeg signal, and the sample frequency of described original eeg signal is 512Hz;

Step 3, eeg signal analyzing and processing: the master control chip of described EEG signals monitoring terminal calls eye electricity determination module, and to EEG signals acquisition device collection and pretreated eeg signal carries out analyzing and processing, and process is as follows:

Step 3011, number of winks judgment threshold are determined: according to sampling time sequencing, to collection in the EEG signals acquisition device continuous P second and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result to number of winks judgment threshold n₀Determine; Wherein, P=2 �� p, wherein p is positive integer and p >=20;

In this step, in EEG signals acquisition device arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 30111, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in one second and pretreated eeg signal carries out stores synchronized, the eeg signal stored is current pending eeg signal;

Step 30112, original eeg signal extract and eeg signal energy balane: extract original eeg signal from pending eeg signal current described in step 30111, and calculated by the energy e of current pending eeg signal;

Described current pending eeg signal comprises 512 described original eeg signals, and in 512 described original eeg signals, the signal value of i-th described original eeg signal is denoted as X_i;

When the energy e of current pending eeg signal is calculated, according to formula Calculate; In formula (7), N=512;

Whether step 30113, nictation judge: according to the energy e of the current pending eeg signal calculated in step 30112, officer in this second blinked and judge, and draw the judgement nictation value bk of this second: as e > E²Time, bk=1; Otherwise, bk=0; Wherein, E=280��320;

Step 30114, judgement value stores synchronized of blinking: the judgement nictation value bk drawn in step 30113 is carried out stores synchronized, complete to gather and the analyzing and processing process of pretreated eeg signal in EEG signals this second of acquisition device;

Gather and pretreated eeg signal analyzing and processing in step 30115, next second: according to the method described in step 30111 to step 30114, to gathering in next second of EEG signals acquisition device and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30116, P-2 repeating step 30115, until gathering and the analyzing and processing process of pretreated eeg signal in completing the EEG signals acquisition device continuous P second, and obtain the judgement nictation value bk of each second;

Step 30117, judgement value superposition nictation: the judgement nictation value bk of each second in the continuous P second obtained in step 30116 is carried out superposition, and obtain judgement value sum bkZ nictation;

Step 30118, number of winks judgment threshold are determined: according to the judgement nictation value sum bkz obtained in step 30117, and according to formulaCalculate number of winks judgment threshold n₀;

Wherein, n is positive integer and n >=4;

Further, n �� Q=P, wherein Q is positive integer and Q=2��10;

Step 3012, tired driving judge front eeg signal analyzing and processing, and process is as follows:

Step 30121, judgment threshold are determined to gather and pretreated eeg signal analyzing and processing in next second rear: the judgment threshold n of number of winks described in step 30118₀After determining, according to the method described in step 30111 to step 30114, to gathering in next second of EEG signals acquisition device and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30122, n-2 repeating step 30121, until number of winks judgment threshold n described in completing steps 30118₀Determine to gather and the analyzing and processing process of pretreated eeg signal in the rear EEG signals acquisition device continuous n-1 second, and obtain the judgement nictation value bk of each second;

Step 3013, fatigue are driven judgement and are started rear eeg signal analyzing and processing: after completing the tired front eeg signal analyzing and processing of driving judgement in step 3012, described eye electricity determination module is gathered in every second by EEG signals acquisition device according to sampling time sequencing and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result, whether now officer is in fatigue driving state and judges;

In this step, described eye electricity determination module in EEG signals acquisition device arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 30131, eeg signal analyzing and processing: according to the method described in step 30111 to step 30114, now gather EEG signals acquisition device and pretreated eeg signal carries out analyzing and processing, and draws judgement nictation value bk now;

Step 30132, judgement value superposition nictation: the judgement nictation value bk drawn in step 30131 is superposed with the judgement nictation value bk of each second in the front Q-1 second, and obtain judgement nictation value sum bkz now;

Judge the summation of value sum bkz as the judgement nictation value bk of each second in the EEG signals acquisition device continuous Q second described nictation;

Step 30133, tired driving judge: according to the judgement nictation value sum bkz drawn in step 30133, and determined number of winks judgment threshold n in integrating step 30118₀, whether now officer is in fatigue driving state and judges: as bkz > n₀Time, illustrating that now officer is in fatigue driving state, described master control chip controls alarm unit carries out alarm; Otherwise, illustrate that now officer is in abnormal driving state;

Step 30134, return step 30131, to gathering in next second of EEG signals acquisition device and pretreated eeg signal carries out analyzing and processing.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, it is characterized in that: step 3 carries out in eeg signal analyzing and processing process, the master control chip of described EEG signals monitoring terminal also needs to call navigation module synchronization and obtains the vehicle essential information that officer is driven vehicle, and described vehicle essential information comprises vehicle geographical position and the speed of a motor vehicle.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: communicate with communication between the acquisition device of EEG signals described in step one and EEG signals monitoring device;

Described TGAM module comprises EEG signals extraction element that the eeg signal to officer extracts and EEG signals extraction element is extracted signal samples and pretreated EEG signals pretreatment unit, described EEG signals pretreatment unit connects with EEG signals extraction element, described EEG signals extraction element comprises the current potential to officer's frontal lobe district and carries out the first brain electricity electrode of in real time sampling and the ear's current potential to officer carries out the 2nd brain electricity electrode and the tritencepehalon electricity electrode of sampling in real time, described first brain electricity electrode, 2nd brain electricity electrode and tritencepehalon electricity electrode all connect with EEG signals pretreatment unit,

Described EEG signals monitoring device also comprises the 2nd radio communication module connected respectively and tired step parameter zero setting unit with master control chip;

Described EEG signals acquisition device connects with the first radio communication module, and described EEG signals acquisition device is communicated with master control chip with the 2nd radio communication module by the first radio communication module.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: described EEG signals monitoring terminal is smart mobile phone.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: when being connected with EEG signals monitoring terminal by EEG signals acquisition device in step one, also need to be connected with upper computer by the master control chip of EEG signals monitoring terminal with communication;

When the chip controls alarm unit of master control described in step 3025 carries out alarm, described master control chip synchronization sends the tired driving alarm message of this officer to upper computer.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: the monitoring terminal of EEG signals described in step one also comprises and the parameter input unit that master control chip is connected;

After the master control chip of EEG signals monitoring terminal is connected with upper computer by step one with communication, also needing to input officer's essential information by parameter input unit, the officer's essential information inputted is stored and described officer's essential information is synchronously sent to upper computer by described master control chip;

Described officer's essential information comprises name and the contact method of officer.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: as bkz > n in step 30133₀Time, the tired driving judged result of described eye electricity determination module is that now officer is in fatigue driving state, and before master control chip controls alarm unit carries out alarm, described master control chip also needs to call brain electricity determination module and the tired driving judged result of described eye electricity determination module is verified, and the checking result according to described brain electricity determination module, whether now officer is in fatigue driving state determine: when the checking result of described brain electricity determination module is for when now officer is in fatigue driving state, determine that now officer is in fatigue driving state, the alarm unit of master control chip controls afterwards carries out alarm, otherwise, it is determined that now officer is in abnormal driving state,

Described master control chip calls described brain electricity determination module when the tired driving judged result of described eye electricity determination module being verified, process is as follows:

Step 302-1, tired step parameter zero setting: the numerical value of tired step parameter s _ c is set as 0;

Step 302-2, eeg signal analyzing and processing: described brain electricity determination module according to sampling time sequencing, to gathering in the EEG signals acquisition device continuous F second after step parameter zero setting tired in step 302-1 and pretreated eeg signal carries out analyzing and processing respectively; Wherein, F is positive integer and F=5��15; Described brain electricity determination module is gathered in every second by EEG signals acquisition device and the analysis and processing method of pretreated eeg signal is all identical; Described brain electricity determination module in EEG signals acquisition device arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 3021, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in one second and pretreated eeg signal carries out stores synchronized;

Step 3022, meditation degree and focus are extracted: extract meditation degree M and focus A from now handled eeg signal;

Step 3023, meditation degree modified value and time correcting parameter are determined: the current time T provided according to clock circuit, meditation degree modified value �� M now and time correcting parameter �� T are determined respectively;

Wherein, when meditation degree modified value �� M is determined, when current time T is later than 6 and when not being later than at 12, �� M=30��15; When current time T is later than 12 and when not being later than at 15, �� M=15��0; When current time T is later than 15 and when not being later than at 19, �� M=0��15; When current time T is later than 0 and be not later than at 6 or current time T is later than 19 and when not being later than at 0, �� M=0;

When time correcting parameter �� T is determined, when current time T is later than 6 and when not being later than at 12, �� T=2��1.5; When current time T is later than 12 and when not being later than at 15, �� T=1.5��1.0; When current time T is later than 15 and when not being later than at 19, �� T=1.0��1.5; When current time T is later than 0 and be not later than at 6 or current time T is later than 19 and when not being later than at 0, �� T=1.0;

Step 3024, tired step parameter increase and decrease process: according to the meditation degree M and focus A extracted in step 3022, and determined meditation degree modified value �� M and time correcting parameter �� T in integrating step 3023, the numerical value of now tired step parameter s _ c is carried out increase and decrease process, and obtains the tired step parameter s _ c after increase and decrease process: whenTime, the numerical value of tired step parameter s _ c is added 1; Otherwise, the numerical value of tired step parameter s _ c is judged: when the numerical value of tired step parameter s _ c is 0, the numerical value of tired step parameter s _ c remains unchanged; When numerical value >=1 of tired step parameter s _ c, the numerical value of tired step parameter s _ c is subtracted 1;

Step 3025, tired driving judge: the numerical value of the tired step parameter s _ c after processing according to increase and decrease in step 3024, whether now officer is in fatigue driving state judge: as the numerical value > N of the tired step parameter s _ c after increase and decrease in step 3024 processes, judges that now officer is in fatigue driving state; Otherwise, judge that now officer is in abnormal driving state;

Wherein, N is the tired driving judgment threshold set in advance, and N is positive integer and N=2��8;

Step 3026, checking result obtain: according to the tired driving judged result drawn in step 3025, obtain the checking result of described brain electricity determination module: when step 3025 judges that now officer is in fatigue driving state, the checking result of described brain electricity determination module is that now officer is in fatigue driving state, completes the checking process of the tired driving judged result to described eye electricity determination module; Otherwise, also need to have judged whether to gather and whole analyzing and processing processes of pretreated eeg signal in the EEG signals acquisition device continuous F second;

Further, complete to gather in the EEG signals acquisition device continuous F second and during whole analyzing and processing process of pretreated eeg signal, the checking result of described brain electricity determination module is in abnormal driving state for now officer when judging to draw; Otherwise, enter step 3026;

Step 3026, return step 3021, to gathering in next second of EEG signals acquisition device and pretreated eeg signal carries out analyzing and processing.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: the p=30 described in step 3011; N=30 described in step 30118, Q=2;

N=3 described in step 3025.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: when adopting time interval method to be determined by meditation degree modified value �� M in step 3023, and when current time T is later than 6 and when not being later than at 15, the time is more late, and degree modified value �� M is more little in meditation; When current time T is later than 15 and when not being later than at 19, the time is more late, and degree modified value �� M is more big in meditation;

When adopting time interval method to be determined by time correcting parameter �� T in step 3023, when current time T is later than 6 and when not being later than at 15, the time is more late, and time correcting parameter ��, T was more little; When current time T is later than 15 and when not being later than at 19, the time is more late, and time correcting parameter ��, T was more big.

A kind of above-mentioned fatigue driving brain pyroelectric monitor method, is characterized in that: when being determined by meditation degree modified value �� M in step 3023, process is as follows:

Steps A 1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

Steps A 2, meditation degree modified value �� M determine: according to nt determined in steps A 1, and in conjunction with current time T, are determined by meditation degree modified value �� M now: when current time T is later than 6 and when not being later than at 12, according to formulaMeditation degree modified value �� M is calculated; When current time T is later than 12 and when not being later than at 15, according to formulaMeditation degree modified value �� M is calculated; When current time T is later than 15 and when not being later than at 19, according to formulaMeditation degree modified value �� M is calculated;

In formula (1) and (2), bt1=12; In formula (3), bt2=15;

When being determined by time correcting parameter �� T in step 3023, process is as follows:

Step B1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

Step B2, time correcting parameter �� T are determined: according to nt determined in step B1, and in conjunction with current time T, are determined by time correcting parameter �� T now: when current time T is later than 6 and when not being later than at 12, according to formulaTime correcting parameter �� T is calculated; When current time T is later than 12 and when not being later than at 15, according to formulaTime correcting parameter �� T is calculated; When current time T is later than 15 and when not being later than at 19, according to formulaTime correcting parameter �� T is calculated;

In formula (1) and (2), bt1=12; In formula (3), bt2=15.

The present invention compared with prior art has the following advantages:

1, method steps is simple, reasonable in design and realize convenient, and input cost is lower.

2, fatigue driving brain pyroelectric monitor speed is fast, Synchronization Analysis can process the brain electricity condition drawing officer.

3, the hardware structure adopted is simple, only comprise EEG signals acquisition device and EEG signals monitoring terminal can realize, wherein EEG signals monitoring terminal can adopt smart mobile phone, structure is simple, volume is little and can carry with, and use easy and simple to handle, can effectively simplify the operating process of officer. Only need mobile phone just can complete eeg signal to receive and analyzing and processing, acquisition positional information and the function such as the speed of a motor vehicle and upper computer communication. The EEG signals acquisition device adopted and the circuit of EEG signals monitoring device is simple, reasonable in design, easy-to-connect and use easy and simple to handle, input cost is lower, and actual installation lay convenient.

4, only need to develop the analyzing and processing that an application software that can realize fatigue driving brain pyroelectric monitor method disclosed in the present invention just can realize eeg signal on smart mobile phone, energy will communicate with upper computer simultaneously.

5 match with navigation module, based on electronics map, the current speed of a motor vehicle of officer and geographical position can be obtained in real time, and the current speed of a motor vehicle of officer that obtains of the subject of knowledge and the object of knowledge and geographical position and fatigue driving brain pyroelectric monitor result are synchronously sent to upper computer (i.e. server), by upper function, the positional information of officer and health fatigue conditions are carried out long-range, intelligent monitoring like this.

6, safe and reliable, can effectively reduce tired driving contingency occurrence probability, when monitoring out officer and be in fatigue driving state, EEG signals monitoring terminal can carry out reporting to the police to remind officer in time; On the other hand, fatigue can be driven alarm message and is synchronously sent to upper computer by EEG signals monitoring terminal, simultaneous display (comprising the name and contact method etc. of the officer being in fatigue driving state) is carried out by upper computer, officer, according to the contact method of officer, is carried out alarm in telephone call mode by upper computer.

7, eye electricity determination module judges based on Energy value, this numerical value is the numerical value that EEG signals acquisition device directly exports, realization is easy and data processing amount is little, monitoring velocity is fast, and within the Q second gather and pretreated eeg signal judges object as one, can effectively improve the accuracy of monitoring result.

8, adopt EEG signals monitoring terminal master control chip can call eye electricity determination module and brain electricity determination module process, judge eye electricity to judge to combine with brain electricity, the problem that overcomes that the accuracy that single judgment mode exists is lower, speed is slower etc., all has greatly improved in monitoring accuracy and monitoring velocity. Wherein, based on eye electricity determination module, and taking brain electricity determination module as auxiliary, rate of false alarm can be effectively reduced.

9, brain electricity determination module adopts step type tired decision method that eeg signal is synchronously carried out analyzing and processing, and the fatigue driving state of officer is carried out real-time judge. And, actual when monitoring, according to gathering in real time and pretreated eeg signal, and combine the meditation degree modified value of different time in corresponding a day and time correcting parameter judges, driving fatigue state monitoring result is very accurate, thus verifies reliable results. When actual driving fatigue judges, it is not directly draw judged result, but utilize " step method " to judge, judged by the tired step parameter after increase and decrease is processed, when reaching the tired driving judgment threshold set in advance when tired step parameter, just can carry out alarm, usually adopt voice reporting police formula, as control alarm unit sends the voice reporting alarming information of " please noting safety ".

10, adopt eeg signal as the decision-making foundation of physiology fatigue, have very big inherent advantage with traditional behavioural characteristic analysis, image processing techniques etc., have the theories integration of E.E.G science authority.

11, result of use is good and practical value height, economic benefit and social benefit are remarkable, Real-Time Monitoring can be carried out by the easy fatigue driving state to officer, and alarm unit can be controlled according to monitoring result and carry out alarm, officer is allowed to be in clear state in real time, reducing the generation of traffic accident, thus have real-time, monitoring effect is good. And, the present invention adopts the eeg signal analysis and processing method of energy accurate characterization fatigue driving, foundation is detected for officer determines objectively tired driving, lay a good foundation for researching and developing vehicle-mounted, real-time tired driving warning further, also it is vehicle supervision department's science, reasonably intervenes tired driving, reduce people to greatest extent for traffic accident and provide reliable basis. Meanwhile, complete function of the present invention, has the functions such as road guide, voice warning, speed of a motor vehicle prompting, position indicating, upper computer remote monitoring, and easy and simple to handle, be easy to popularize, with low cost, realize easy.

In sum, the inventive method step is simple, reasonable in design and realization is convenient, result of use is good, can carry out accurate measurements by the fatigue driving state to officer easy, quick.

Below by drawings and Examples, the technical scheme of the present invention is described in further detail.

Accompanying drawing explanation

Fig. 1 is the method flow block diagram of the present invention.

Fig. 1-1 is the checking process FB(flow block) of brain of the present invention electricity determination module.

Fig. 2 is the schematic block circuit diagram of EEG signals acquisition device of the present invention and EEG signals monitoring device.

Fig. 3 is EEG signals acquisition device of the present invention and the schematic circuit diagram of the first radio communication module. Description of reference numerals:

1 EEG signals acquisition device; 1-1 EEG signals extraction element;

1-11 first brain electricity electrode; 1-12 the 2nd brain electricity electrode; 1-13 tritencepehalon electricity electrode;

1-2 EEG signals pretreatment unit; 2 EEG signals monitoring devices;

2-1 master control chip; 2-2 alarm unit;

2-3 the 2nd radio communication module; 2-4 parameter input unit;

The tired step parameter zero setting unit of 2-5; 2-6 clock circuit;

3 first radio communication modules; 4 upper computers.

Embodiment

A kind of fatigue driving brain pyroelectric monitor method as shown in Figure 1, comprises the following steps:

Step one, equipment connection and parameter initialization: EEG signals acquisition device 1 is connected with EEG signals monitoring terminal 2, and by the master control chip 2-1 of EEG signals monitoring terminal 2, tired step parameter s _ c is set; Now, the numerical value of tired step parameter s _ c is 0;

Described EEG signals acquisition device 1 is MindwaveMobile brain cubic earphone or TGAM module; Described EEG signals monitoring device 2 comprises master control chip 2-1 and the clock circuit 2-6 being connected respectively and alarm unit 2-2 with master control chip 2-1.

During actual use, described EEG signals monitoring device 2 is positioned at officer and is driven vehicle.

Step 2, eeg signal collection: adopt EEG signals acquisition device 1 and according to the sample frequency set in advance, the eeg signal of officer is gathered and pre-treatment, and pretreated eeg signal is synchronously sent to EEG signals monitoring terminal 2;

Described eeg signal comprises original eeg signal, and the sample frequency of described original eeg signal is 512Hz.

Step 3, eeg signal analyzing and processing: the master control chip 2-1 of described EEG signals monitoring terminal 2 calls eye electricity determination module and gathered by EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing, and process is as follows:

Step 3011, number of winks judgment threshold are determined: according to sampling time sequencing, to collection in the EEG signals acquisition device 1 continuous P second and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result to number of winks judgment threshold n₀Determine; Wherein, P=2 �� p, wherein p is positive integer and p >=20;

In this step, in EEG signals acquisition device 1 arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 30111, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in 1 one seconds and pretreated eeg signal carries out stores synchronized, the eeg signal stored is current pending eeg signal;

Step 30114, judgement value stores synchronized of blinking: the judgement nictation value bk drawn in step 30113 is carried out stores synchronized, complete to gather and the analyzing and processing process of pretreated eeg signal in this second of EEG signals acquisition device 1;

Gather and pretreated eeg signal analyzing and processing in step 30115, next second: according to the method described in step 30111 to step 30114, to gathering in next second of EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30116, P-2 repeating step 30115, until gathering and the analyzing and processing process of pretreated eeg signal in completing the EEG signals acquisition device 1 continuous P second, and obtain the judgement nictation value bk of each second;

Wherein, n is positive integer and n >=4;

Further, n �� Q=P, wherein Q is positive integer and Q=2��10;

Step 30121, judgment threshold are determined to gather and pretreated eeg signal analyzing and processing in next second rear: the judgment threshold n of number of winks described in step 30118₀After determining, according to the method described in step 30111 to step 30114, to gathering in next second of EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30122, n-2 repeating step 30121, until number of winks judgment threshold n described in completing steps 30118₀Determine to gather and the analyzing and processing process of pretreated eeg signal in the rear EEG signals acquisition device 1 continuous n-1 second, and obtain the judgement nictation value bk of each second;

Step 3013, fatigue are driven judgement and are started rear eeg signal analyzing and processing: after completing the tired front eeg signal analyzing and processing of driving judgement in step 3012, described eye electricity determination module is gathered in every second by EEG signals acquisition device 1 according to sampling time sequencing and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result, whether now officer is in fatigue driving state and judges;

In this step, described eye electricity determination module in EEG signals acquisition device 1 arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 30131, eeg signal analyzing and processing: according to the method described in step 30111 to step 30114, now gather EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing, and draws judgement nictation value bk now;

Judge the summation of value sum bkz as the judgement nictation value bk of each second in EEG signals acquisition device 1 continuously Q second described nictation;

Step 30133, tired driving judge: according to the judgement nictation value sum bkz drawn in step 30133, and determined number of winks judgment threshold n in integrating step 30118₀, whether now officer is in fatigue driving state and judges: as bkz > n₀Time, illustrating that now officer is in fatigue driving state, described master control chip 2-1 controls alarm unit 2-2 and carries out alarm; Otherwise, illustrate that now officer is in abnormal driving state;

Step 30134, return step 30131, to gathering in next second of EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing.

In the present embodiment, communicate with communication between the acquisition device of EEG signals described in step one 1 and EEG signals monitoring device 2.

Described TGAM module comprises EEG signals extraction element 1-1 that the eeg signal to officer extracts and EEG signals extraction element 1-1 is extracted signal samples and pretreated EEG signals pretreatment unit 1-2, described EEG signals pretreatment unit 1-2 connects with EEG signals extraction element 1-1, described EEG signals extraction element 1-1 comprises the current potential to officer's frontal lobe district and carries out the first brain electricity electrode 1-11 of in real time sampling and the ear's current potential to officer carries out the 2nd brain electricity electrode 1-12 and tritencepehalon electricity electrode 1-13 of sampling in real time, described first brain electricity electrode 1-11, 2nd brain electricity electrode 1-12 and tritencepehalon electricity electrode 1-13 all connects with EEG signals pretreatment unit 1-2.

Meanwhile, described EEG signals monitoring device 2 also comprises the 2nd radio communication module 2-3 connected respectively and tired step parameter zero setting unit 2-5 with master control chip 2-1. In the present embodiment, described tired step parameter zero setting unit 2-5 is the button or button that are connected with master control chip.

During actual use, described EEG signals acquisition device 1 connects with the first radio communication module 3, and described EEG signals acquisition device 1 is communicated with master control chip 2-1 with the 2nd radio communication module 2-3 by the first radio communication module 3.

Described MindwaveMobile brain cubic earphone or TGAM (ThinkGearAM) module are U.S. NeuroSky (god reads science and technology) companies is the brain wave collection designed by the application of popular market and prefinished products. Wherein TGAM module is U.S. NeuroSky (god reads science and technology) company is the brain-wave sensor module ASIC designed by the application of popular market, also claims TGAM brain electricity module (being called for short TGAM module).

Described MindwaveMobile brain cubic earphone or TGAM module all can process and export the eSense parameter of frequency of brain wave spectrum, EEG signals quality, original brain wave and three Neurosky: focus, meditation degree (also claims allowance) and blink to detect. During actual use, described MindwaveMobile brain cubic earphone can be obtained and data that TGAM module transfer is come by serial ports, described MindwaveMobile brain cubic earphone and TGAM module send raw data packets (i.e. original brain wave) with the frequency of 512Hz respectively, and send through eSense with the frequency of 1Hz^TMData packet after algorithm process. Owing to the interface of described MindwaveMobile brain cubic earphone and TGAM module and human body only needs a simple dry contact point, can apply in toy, video-game and healthy equipment easily, again owing to energy consumption is little, it is suitable for use in in the application of the portable consumer product of powered battery.

Actual when using, described MindwaveMobile brain cubic earphone and TGAM module acquires also comprise original eeg signal in pretreated eeg signal. Further, the eeg signal that described EEG signals acquisition device 1 (i.e. MindwaveMobile brain cubic earphone or TGAM module) exports is the frequency domain signal after Fast Fourier Transform (FFT) (i.e. FFT). In the time domain, described original eeg signal is the signal that current potential changes in time, and wherein the unit of current potential is �� V (i.e. microvolt), and the unit of time is s. During actual use, it is also possible to export the time-domain signal of original eeg signal with EEG signals acquisition device 1, then the control chip adopting peripheral hardware carries out Fast Fourier Transform (FFT).

After Fast Fourier Transform (FFT), time-domain signal is transformed to frequency domain signal. For frequency domain signal, independent variable(s) is frequency, and its transverse axis is frequency, and the longitudinal axis is the amplitude of this frequency signal, the frequency composition of expression signal.

After Fast Fourier Transform (FFT), obtain the frequency spectrum figure usually said. Frequency spectrum figure describes the frequency structure of signal and the relation of frequency and this frequency signal amplitude.

Herein, described original eeg signal is frequency domain signal, and the signal value of described original eeg signal is the amplitude of signal, the ordinate value namely calculated through Fast Fourier Transform (FFT). Described original eeg signal is the signal that EEG signals acquisition device 1 directly exports, and only need to directly use, thus realize very easy.

Described EEG signals acquisition device 1 inside is analyzed and is automatically exported eeg signal, and processes and export eSense focus and the allowance exponent data that Neurosky obtains patent, finally exports by UART interface. This module samples rate is 512Hz, range of frequency 3Hz-100Hz, exports the E.E.G original waveform data (i.e. original brain wave data) of 512Hz, the independent brain wave data of 8 groups of 1Hz and eSense exponent data. Thus, gather in one second and pretreated eeg signal comprises 512 described original eeg signals, corresponding 512 raw data parcels.

Described in each, the form of raw data parcel is AAAA048002xxHighxxLowxxCheckSum, and AAAA048002 above is constant, and rear three bytes change always, xxHigh and xxLow forms raw data rawdata. Thus, only comprising useful data, i.e. a rawdata inside a raw data parcel, a raw data parcel is exactly original eeg signal data. Above-mentioned data layout, illustrates see the relevant eeg signal data layout of U.S. NeuroSky (god reads science and technology) company, this is existing common practise.

During actual use, the character string that EEG signals acquisition device 1 exports is found the character string of 0XAA0XAA0X20 beginning, that the 3rd character of this character string represents is poorsingle, what the 31st character represented is meditation degree, the 33rd character representative be concentration degree (also claiming focus).

During actual use, described EEG signals monitoring device 2 is laid in the vehicle that officer drives. Described alarm unit 2-2 is voice alerting unit.

As shown in Figure 3, in the present embodiment, described EEG signals pretreatment unit 1-2 is the TGAM chip of NeuroSky company of U.S. research and development. The EEG pin of the output termination TGAM chip of described first brain electricity electrode 1-11, the REF pin of the output termination TGAM chip of the 2nd brain electricity electrode 1-12, the EEG_GND pin of the output termination TGAM chip of tritencepehalon electricity electrode 1-13. During actual use, described 2nd brain electricity electrode 1-12 is reference electrode.

In actual use procedure, the EEG end of described TGAM chip inputs the EEG signals that the first brain electricity electrode 1-11 samples, and the effect of EEG_shiled end is the interference shielding this period before the first brain electricity electrode 1-11 is sampled EEG signals input TGAM chip; REF end input the 2nd brain electricity EEG signals sampled of electrode 1-2, the ear's EEG signals sampled by the 2nd brain electricity electrode 1-12, can effective filtering self start type brain wave as with reference to current potential; REF_shiled end mainly shields the 2nd brain electricity electrode 1-12 EEG signals of being sampled and inputs the interference of this period before TGAM chip; E.E.G ground wire is also connected to the ear of human body, namely the EEG signals that tritencepehalon electricity electrode 1-13 samples, main effect is the impact in order to shield the following electric wave of human body head, such as electrocardio ripple is exactly a kind of stronger interference wave, and the connection of E.E.G ground wire can effective filtering electrocardio ripple. That is, tritencepehalon electricity electrode 1-13 is the electrode gathering brain wave ground connection signal.

In the present embodiment, described first radio communication module 3 and the 2nd radio communication module 2-3 are Bluetooth wireless communication module. Further, described Bluetooth wireless communication module is HL-MD08R-C2A module. During actual use, described first radio communication module 3 and the 2nd radio communication module 2-3 can also adopt the radio communication module of other type.

In the present embodiment, described first brain electricity electrode 1-11 is placed on according to 10-and the left volume of the officer that 20 system electrode placement methods are determined extremely is gone up, and described 2nd brain electricity electrode 1-12 and tritencepehalon electricity electrode 1-13 is all placed on according to 10-in the left temporo of the officer that 20 system electrode placement methods are determined. Wherein, 10-20 system electrode placement methods, i.e. international electroencephalogram association specified standards electrode placement methods. Thus, what EEG signals extraction element 1-1 mainly gathered is forehead district, specifically left volume pole (F_P1) current potential in this electrode site. On described 2nd brain electricity electrode 1-12 and tritencepehalon electricity electrode 1-13 is all placed in left temporo (T3) this electrode site.

In the present embodiment, the model of described TGAM chip is TGAM1, and described first radio communication module 3 and the 2nd radio communication module 2-3 are BlueTooth chip. During actual wiring, the TXD pin of described TGAM chip connects with the RX pin of the first radio communication module 3. The power supply end of described TGAM chip and the VCC pin of TGAM chip all connect+3.3V power supply end.

In the present embodiment, the display unit that described EEG signals monitoring terminal 2 also comprises with master control chip 2-1 is connected. In actual use procedure, by described display unit, the information such as the meditation degree M and focus A of officer are carried out simultaneous display, facilitate user to survey the electrical activity of brain state of oneself dynamically.

In the present embodiment, as bkz > n in step 30133₀Time, the tired driving judged result of described eye electricity determination module is that now officer is in fatigue driving state, and master control chip 2-1 controls before alarm unit 2-2 carries out alarm, described master control chip 2-1 also needs to call brain electricity determination module and the tired driving judged result of described eye electricity determination module is verified, and the checking result according to described brain electricity determination module, whether now officer is in fatigue driving state determine: when the checking result of described brain electricity determination module is for when now officer is in fatigue driving state, determine that now officer is in fatigue driving state, master control chip 2-1 controls alarm unit 2-2 and carries out alarm afterwards, otherwise, it is determined that now officer is in abnormal driving state,

As Figure 1-1, described master control chip 2-1 calls described brain electricity determination module when the tired driving judged result of described eye electricity determination module being verified, process is as follows:

Step 302-2, eeg signal analyzing and processing: described brain electricity determination module according to sampling time sequencing, to gathering in EEG signals acquisition device 1 after step parameter zero setting tired in step 302-1 continuously F second and pretreated eeg signal carries out analyzing and processing respectively; Wherein, F is positive integer and F=5��15; Described brain electricity determination module is gathered in every second by EEG signals acquisition device 1 and the analysis and processing method of pretreated eeg signal is all identical; Described brain electricity determination module in EEG signals acquisition device 1 arbitrary second gather and pretreated eeg signal carry out analyzing and processing time, process is as follows:

Step 3021, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in 1 one seconds and pretreated eeg signal carries out stores synchronized;

Step 3023, meditation degree modified value and time correcting parameter are determined: the current time T provided according to clock circuit 2-6, meditation degree modified value �� M now and time correcting parameter �� T are determined respectively;

Step 3026, checking result obtain: according to the tired driving judged result drawn in step 3025, obtain the checking result of described brain electricity determination module: when step 3025 judges that now officer is in fatigue driving state, the checking result of described brain electricity determination module is that now officer is in fatigue driving state, completes the checking process of the tired driving judged result to described eye electricity determination module; Otherwise, also need to have judged whether to gather and whole analyzing and processing processes of pretreated eeg signal in the EEG signals acquisition device 1 continuous F second;

Further, when judging to draw that completing EEG signals acquisition device 1 gathers in the F second continuously and during whole analyzing and processing process of pretreated eeg signal, the checking result of described brain electricity determination module is in abnormal driving state for now officer; Otherwise, enter step 3026;

Step 3026, return step 3021, to gathering in next second of EEG signals acquisition device 1 and pretreated eeg signal carries out analyzing and processing.

In actual use procedure, when described eye electricity determination module judges that now officer is in fatigue driving state, described master control chip 2-1 call again described brain electricity determination module to also needing to call brain electricity determination module the tired driving judged result of described eye electricity determination module is verified, thus the rate of failing to report be can effectively reduce, the monitoring accuracy of single determination methods existence and the problem of monitoring velocity overcome. On the other hand, the monitoring accuracy of described eye electricity determination module and described brain electricity determination module is all higher.

Wherein, it is later than in 6 and does not comprise 6 points, be not later than at 12 and comprise 12 points; It is later than in 12 and does not comprise 12 points, be not later than at 15 and comprise 15 points; It is later than in 15 and does not comprise 15 points, be not later than at 19 and comprise 19 points.

The energy e of the current pending eeg signal calculated in step 30112 is the parameter of reflection intensity nictation, and the numerical value of energy e is more big, and nictation, intensity was more big. Herein, judge as e > E²Time, illustrate that nictation, intensity reached the degree of nictation, artificially now occur once to blink.

In the present embodiment, the N=3 described in step 3025.

During actual use, can according to specific needs, the value size of N be adjusted accordingly.

In the present embodiment, the p=30 described in step 3011; N=30 described in step 30118, Q=2.

During actual use, can according to specific needs, the value size of p and Q be adjusted accordingly.

In actual use procedure, when adopting time interval method to be determined by meditation degree modified value �� M in step 3023, when current time T is later than 6 and when not being later than at 15, the time is more late, and degree modified value �� M is more little in meditation; When current time T is later than 15 and when not being later than at 19, the time is more late, and degree modified value �� M is more big in meditation;

Thus, the meditation degree modified value �� M that the present invention adopts and time correcting parameter �� T are the dynamic value obtained according to current time, reasonable in design, can effectively improve tired driving monitoring accuracy. The reason that meditation degree modified value �� M carries out above-mentioned setting is: will being in tired state gradually from 6 to 12 human bodies in the morning, meditation degree increases gradually, reduces meditation degree modified value �� M and also meets rule; From 12 o'clock to 15 o'clock be people the most tired one day time, meditation degree modified value �� M also can reduce; From 15 o'clock to 19 o'clock, people slowly recovered again spirit, and thus meditation degree modified value �� M can slowly increase again; Other time, acquiescence meditation degree modified value �� M was 0. Thus, the deterministic process of meditation degree modified value �� M is simply, reasonable and result of use is good.

Correspondingly, when fatigue time, meditation degree and focus there will be multiple relation, but can change over time, and multiple relation is nearly all between 1 to 2, and this coefficient can along with the proportional growth of tired state of human body. With reason, 6:00 AM is to point in the morning 12, and time correcting parameter ��, T can reduce, and span is between 2.0��1.5; From 12 o'clock to 15 o'clock, time correcting parameter ��, T also can reduce, and span is 1.5��1.0; From 15 o'clock to 19 o'clock, time correcting parameter ��, T can increase, and span is 1.0��1.5.

For realizing simplicity and improve detection accuracy further, in the present embodiment, when being determined by meditation degree modified value �� M in step 3023, process is as follows:

Steps A 1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit 2-6 provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

In formula (1) and (2), bt1=12; In formula (3), bt2=15.

In the present embodiment, when being determined by time correcting parameter �� T in step 3023, process is as follows:

Step B1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit 2-6 provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

In formula (1) and (2), bt1=12; In formula (3), bt2=15.

In the present embodiment, current time T is denoted as nt:fz, wherein nt be in current time T " time " numerical value, fz is the numerical value " divided " in current time T. Thus, nt and fz be respectively in current time T " time " and the numerical value of " dividing ", direct reading.

In the present embodiment, when EEG signals acquisition device 1 is connected by step one with EEG signals monitoring terminal 2, also with communication, the master control chip 2-1 of EEG signals monitoring terminal 2 need to be connected with upper computer 4;

When the chip 2-1 of master control described in step 305 control alarm unit 2-2 carries out alarm, described master control chip 2-1 synchronously sends the tired driving alarm message of this officer to upper computer 4.

During actual use, it is connected with communication between described master control chip 2-1 and upper computer 4.

In the present embodiment, the parameter input unit 2-4 that the monitoring terminal of EEG signals described in step one 2 also comprises with master control chip 2-1 is connected.

After the master control chip 2-1 of EEG signals monitoring terminal 2 is connected with upper computer 4 by step one with communication, also needing to input officer's essential information by parameter input unit 2-4, the officer's essential information inputted is stored and described officer's essential information is synchronously sent to upper computer 4 by described master control chip 2-1.

In the present embodiment, described EEG signals monitoring terminal 2 is smart mobile phone.

During actual use, described EEG signals monitoring terminal 2 can also adopt the data processing terminal of other type, such as palm PC, ipad etc.

In the present embodiment, step 3 carry out in eeg signal analyzing and processing process, the master control chip 2-1 of described EEG signals monitoring terminal 2 also needs to call navigation module synchronization and obtains the vehicle essential information that officer is driven vehicle, and described vehicle essential information comprises vehicle geographical position and the speed of a motor vehicle.

Further, described master control chip 2-1 can control alarm unit 2-2 and report once current residing geographical position at set intervals (such as 5s), there is no need to divert one's attention to see cell phone map and dangerous accident occurs when driving.

During actual use, the vehicle mounted guidance software that described navigation module can also adopt, such as high moral navigation software etc. Simultaneously, when judging that officer is in driving fatigue state, the vehicle essential information of institute's driving vehicle that described master control chip 2-1 navigation module synchronization obtains, position when officer all can be in tired state by officer and the monitor staff carrying out remote monitoring by upper computer 4 carries out accurate assurance, like this when driver vehicle occurs that position changes, upper computer 4 or EEG signals monitoring terminal 2 can send voice message by alarm unit 2-2 or play music, officer again stimulated; Further, officer can also be reminded by remote monitoring personnel by the mode of mobile phone communication, reminds officer now whether to meet safety and drives requirement.

In addition, after officer currently transfers waking state to, officer presses tired step parameter zero setting unit 2-5, by master control chip 2-1, the numerical value of tired step parameter s _ c is set as 0.

In the present embodiment, before step 302 carries out meditation degree and focus extraction, also need to extract poorsingle from now handled eeg signal, and according to the numerical value of poorsingle now EEG signals acquisition device 1 worn whether posture correctly judges: when the numerical value of poorsingle is greater than 200, illustrate EEG signals acquisition device 1 to wear posture incorrect; Otherwise, what EEG signals acquisition device 1 was described wears correct set.

In actual use procedure, described alarm unit 2-2 is voice alerting unit. Now EEG signals acquisition device 1 is worn the process whether posture correctly judge by the numerical value according to poorsingle, complete by described master control chip 2-1, when judge EEG signals acquisition device 1 wear posture incorrect time, alarm unit 2-2 sends voice message, as " you wear posture wrong " voice is reported, testing process so more being made more accurate, preventing from causing spreading out of of mistake data because not worn earphone. Poorsingle is the data that EEG signals acquisition device 1 directly exports, and only need to extract.

The above; it it is only the better embodiment of the present invention; not the present invention being imposed any restrictions, every any simple modification, change and equivalent structure change above embodiment done according to the technology of the present invention essence, all still belongs in the protection domain of technical solution of the present invention.

Claims

1. a fatigue driving brain pyroelectric monitor method, it is characterised in that: the method comprises the following steps:

Step one, equipment connection and parameter initialization: EEG signals acquisition device (1) is connected with EEG signals monitoring terminal (2), and by the master control chip (2-1) of EEG signals monitoring terminal (2), tired step parameter s _ c is set; Now, the numerical value of tired step parameter s _ c is 0;

Described EEG signals acquisition device (1) is MindwaveMobile brain cubic earphone or TGAM module; Described EEG signals monitoring device (2) comprises master control chip (2-1) and the clock circuit (2-6) being connected respectively and alarm unit (2-2) with master control chip (2-1);

Step 2, eeg signal collection: adopt EEG signals acquisition device (1) and according to the sample frequency set in advance, the eeg signal of officer is gathered and pre-treatment, and pretreated eeg signal is synchronously sent to EEG signals monitoring terminal (2);

Step 3, eeg signal analyzing and processing: the master control chip (2-1) of described EEG signals monitoring terminal (2) calls eye electricity determination module, and to EEG signals acquisition device (1) collection and pretreated eeg signal carries out analyzing and processing, and process is as follows:

Step 3011, number of winks judgment threshold are determined: according to sampling time sequencing, to collection in EEG signals acquisition device (1) the continuous P second and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result to number of winks judgment threshold n₀Determine; Wherein, P=2 �� p, wherein p is positive integer and p >=20;

In this step, to gathering in EEG signals acquisition device (1) arbitrary second and when pretreated eeg signal carries out analyzing and processing, process is as follows:

Step 30111, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in (1) one second and pretreated eeg signal carries out stores synchronized, the eeg signal stored is current pending eeg signal;

When the energy e of current pending eeg signal is calculated, according to formula(7) calculate; In formula (7), N=512;

Step 30114, judgement value stores synchronized of blinking: the judgement nictation value bk drawn in step 30113 is carried out stores synchronized, complete to gather and the analyzing and processing process of pretreated eeg signal in EEG signals acquisition device (1) this second;

Gather and pretreated eeg signal analyzing and processing in step 30115, next second: according to the method described in step 30111 to step 30114, to gathering in EEG signals acquisition device (1) next second and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30116, P-2 repeating step 30115, until gathering and the analyzing and processing process of pretreated eeg signal in completing EEG signals acquisition device (1) the continuous P second, and obtain the judgement nictation value bk of each second;

Wherein, n is positive integer and n >=4;

Further, n �� Q=P, wherein Q is positive integer and Q=2��10;

Step 30121, judgment threshold are determined to gather and pretreated eeg signal analyzing and processing in next second rear: the judgment threshold n of number of winks described in step 30118₀After determining, according to the method described in step 30111 to step 30114, to gathering in EEG signals acquisition device (1) next second and pretreated eeg signal carries out analyzing and processing, and draw the judgement nictation value bk of this second;

Step 30122, n-2 repeating step 30121, until number of winks judgment threshold n described in completing steps 30118₀Determine to gather and the analyzing and processing process of pretreated eeg signal in rear EEG signals acquisition device (1) the continuous n-1 second, and obtain the judgement nictation value bk of each second;

Step 3013, fatigue are driven judgement and are started rear eeg signal analyzing and processing: after completing the tired front eeg signal analyzing and processing of driving judgement in step 3012, described eye electricity determination module is gathered in every second by EEG signals acquisition device (1) according to sampling time sequencing and pretreated eeg signal carries out analyzing and processing respectively, and according to analysis processing result, whether now officer is in fatigue driving state and judges;

In this step, described eye electricity determination module is to gathering in EEG signals acquisition device (1) arbitrary second and when pretreated eeg signal carries out analyzing and processing, process is as follows:

Step 30131, eeg signal analyzing and processing: according to the method described in step 30111 to step 30114, EEG signals acquisition device (1) is now gathered and pretreated eeg signal carries out analyzing and processing, and draw judgement nictation value bk now;

Judge the summation of value sum bkz as the judgement nictation value bk of each second in EEG signals acquisition device (1) continuously Q second described nictation;

Step 30133, tired driving judge: according to the judgement nictation value sum bkz drawn in step 30133, and determined number of winks judgment threshold n in integrating step 30118₀, whether now officer is in fatigue driving state and judges: as bkz > n₀Time, illustrating that now officer is in fatigue driving state, described master control chip (2-1) controls alarm unit (2-2) and carries out alarm; Otherwise, illustrate that now officer is in abnormal driving state;

Step 30134, return step 30131, to gathering in EEG signals acquisition device (1) next second and pretreated eeg signal carries out analyzing and processing.

2. according to a kind of fatigue driving brain pyroelectric monitor method according to claim 1, it is characterized in that: step 3 carries out in eeg signal analyzing and processing process, the master control chip (2-1) of described EEG signals monitoring terminal (2) also needs to call navigation module synchronization and obtains the vehicle essential information that officer is driven vehicle, and described vehicle essential information comprises vehicle geographical position and the speed of a motor vehicle.

3. according to a kind of fatigue driving brain pyroelectric monitor method described in claim 1 or 2, it is characterised in that: communicate with communication between the acquisition device of EEG signals described in step one (1) with EEG signals monitoring device (2);

Described TGAM module comprises EEG signals extraction element (1-1) that the eeg signal to officer extracts and EEG signals extraction element (1-1) is extracted signal samples and pretreated EEG signals pretreatment unit (1-2), described EEG signals pretreatment unit (1-2) connects with EEG signals extraction element (1-1), described EEG signals extraction element (1-1) comprises the current potential to officer's frontal lobe district and carries out the first brain electricity electrode (1-11) of in real time sampling and the ear's current potential to officer carries out the 2nd brain electricity electrode (1-12) and the electric electrode (1-13) of tritencepehalon of sampling in real time, described first brain electricity electrode (1-11), 2nd brain electricity electrode (1-12) and tritencepehalon electricity electrode (1-13) all connect with EEG signals pretreatment unit (1-2),

Described EEG signals monitoring device (2) also comprises the 2nd radio communication module (2-3) connected respectively and tired step parameter zero setting unit (2-5) with master control chip (2-1);

Described EEG signals acquisition device (1) connects with the first radio communication module (3), and described EEG signals acquisition device (1) is communicated with master control chip (2-1) with the 2nd radio communication module (2-2) by the first radio communication module (3).

4. according to a kind of fatigue driving brain pyroelectric monitor method described in claim 1 or 2, it is characterised in that: described EEG signals monitoring terminal (2) is smart mobile phone.

5. according to a kind of fatigue driving brain pyroelectric monitor method described in claim 1 or 2, it is characterized in that: when EEG signals acquisition device (1) is connected with EEG signals monitoring terminal (2) by step one, also with communication, the master control chip (2-1) of EEG signals monitoring terminal (2) need to be connected with upper computer (4);

The chip of master control described in step 3025 (2-1) controls alarm unit (2-2) when carrying out alarm, and described master control chip (2-1) synchronously sends the tired driving alarm message of this officer to upper computer (4).

6. according to a kind of fatigue driving brain pyroelectric monitor method according to claim 5, it is characterised in that: the monitoring terminal of EEG signals described in step one (2) also comprise the parameter input unit (2-4) being connected with master control chip (2-1);

After the master control chip (2-1) of EEG signals monitoring terminal (2) is connected with upper computer (4) by step one with communication, also needing to input officer's essential information by parameter input unit (2-4), the officer's essential information inputted is stored and described officer's essential information is synchronously sent to upper computer (4) by described master control chip (2-1);

7. according to a kind of fatigue driving brain pyroelectric monitor method described in claim 1 or 2, it is characterised in that: as bkz > n in step 30133₀Time, the tired driving judged result of described eye electricity determination module is that now officer is in fatigue driving state, and master control chip (2-1) controls before alarm unit (2-2) carries out alarm, described master control chip (2-1) also needs to call brain electricity determination module and the tired driving judged result of described eye electricity determination module is verified, and the checking result according to described brain electricity determination module, whether now officer is in fatigue driving state determine: when the checking result of described brain electricity determination module is for when now officer is in fatigue driving state, determine that now officer is in fatigue driving state, master control chip (2-1) controls alarm unit (2-2) and carries out alarm afterwards, otherwise, it is determined that now officer is in abnormal driving state,

Described master control chip (2-1) calls described brain electricity determination module when the tired driving judged result of described eye electricity determination module being verified, process is as follows:

Step 302-2, eeg signal analyzing and processing: described brain electricity determination module according to sampling time sequencing, to gathering in EEG signals acquisition device (1) after step parameter zero setting tired in step 302-1 continuously F second and pretreated eeg signal carries out analyzing and processing respectively; Wherein, F is positive integer and F=5��15; Described brain electricity determination module is gathered in every second by EEG signals acquisition device (1) and the analysis and processing method of pretreated eeg signal is all identical; Described brain electricity determination module is to gathering in EEG signals acquisition device (1) arbitrary second and when pretreated eeg signal carries out analyzing and processing, process is as follows:

Step 3021, eeg signal stores synchronized: the EEG signals acquisition device now received was gathered in (1) one second and pretreated eeg signal carries out stores synchronized;

Step 3023, meditation degree modified value and time correcting parameter are determined: the current time T provided according to clock circuit (2-6), meditation degree modified value �� M now and time correcting parameter �� T are determined respectively;

Step 3026, checking result obtain: according to the tired driving judged result drawn in step 3025, obtain the checking result of described brain electricity determination module: when step 3025 judges that now officer is in fatigue driving state, the checking result of described brain electricity determination module is that now officer is in fatigue driving state, completes the checking process of the tired driving judged result to described eye electricity determination module; Otherwise, also need to have judged whether to gather and whole analyzing and processing processes of pretreated eeg signal in EEG signals acquisition device (1) the continuous F second;

And, when judging to draw that completing EEG signals acquisition device (1) gathers in the F second continuously and during whole analyzing and processing process of pretreated eeg signal, the checking result of described brain electricity determination module is that now officer is in abnormal driving state; Otherwise, enter step 3026;

Step 3026, return step 3021, to gathering in EEG signals acquisition device (1) next second and pretreated eeg signal carries out analyzing and processing.

8. according to a kind of fatigue driving brain pyroelectric monitor method according to claim 7, it is characterised in that: the p=30 described in step 3011; N=30 described in step 30118, Q=2;

N=3 described in step 3025.

9. according to a kind of fatigue driving brain pyroelectric monitor method according to claim 7, it is characterized in that: when step 3023 adopting time interval method determined by meditation degree modified value �� M, when current time T is later than 6 and when not being later than at 15, the time is more late, and degree modified value �� M is more little in meditation; When current time T is later than 15 and when not being later than at 19, the time is more late, and degree modified value �� M is more big in meditation;

10. according to a kind of fatigue driving brain pyroelectric monitor method according to claim 7, it is characterised in that: when being determined by meditation degree modified value �� M in step 3023, process is as follows:

Steps A 1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit (2-6) provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

In formula (1) and (2), bt1=12; In formula (3), bt2=15;

Step B1, current time integral point value are determined: the integral point value of current time T determined; The current time T that described clock circuit (2-6) provides is 24 hours systems, and the integral point value of current time T is denoted as nt, wherein nt be in current time T " time " numerical value;

Wherein, nt is integer and nt=0��23;

In formula (1) and (2), bt1=12; In formula (3), bt2=15.