CN103505224A - Fatigue driving remote monitoring and alarm system and method based on physiological information analysis - Google Patents
Fatigue driving remote monitoring and alarm system and method based on physiological information analysis Download PDFInfo
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- CN103505224A CN103505224A CN201210216206.9A CN201210216206A CN103505224A CN 103505224 A CN103505224 A CN 103505224A CN 201210216206 A CN201210216206 A CN 201210216206A CN 103505224 A CN103505224 A CN 103505224A
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Abstract
The invention discloses a fatigue driving remote monitoring and alarm system and method based on physiological information analysis. The system comprises a brain wave collecting device, an upper computer and a lower computer, the system further comprises a cell phone module, the input end of the brain wave collecting device is connected with the cerebral cortex of a driver, the output end of the brain wave collecting device transmits brain wave signals to the upper computer, the upper computer outputs fatigue signals to the lower computer, and the lower computer outputs alarm signals to the cell phone module. Driver monitor personnel can inquire the driving state of the driver in real time through the cell phone module, and the driver is reminded to prevent fatigue driving in time. When the driver is in a fatigue driving state, the system can analyze the brain wave signals and give an alarm in time, if the driver still drives a car, the lower computer controls the cell phone module to send alarm information to the cell phone of the monitor personnel, and therefore the capacity of detecting and early warning the driver fatigue driving is improved.
Description
Technical field
The invention belongs to the crossing domain of biomedical engineering and Mechatronic Engineering, be specifically related to a kind of fatigue driving remote monitoring and warning system and method for analyzing based on physiologic information.
Background technology
In China, due to the shortcoming of automotive safety consciousness, fatigue driving, the phenomenon such as drive over the speed limit, drive when intoxicated are very outstanding, become the major reason that causes major traffic accidents, wherein, annual because the death toll that fatigue driving causes is all thousands of people.Abroad, situation is also very severe, and U.S.'s whole nation sleep foundation is delivered press release on November 4th, 2009 and said, the whole nation is every year because fatigue driving causes nearly 2,000,000 traffic accidents.France national police general administration accident report shows, because the accident that driving fatigue causes accounts for 14.9% of personal injury accident, and 20.6% of death by accident.According to AA Automobile Association statistics, it is to drive and cause due to tired driver that Britain has 1/10th vehicle accident every year; From the statistics demonstration of German federal road traffic department, in every five vehicle accidents of Germany, just having is that the loss that this type of vehicle accident causes is every year up to 5,000,000,000 Euros because fatigue driving causes together.In recent years, due to the development of computer vision and integrated circuit technique, space has been widened in the research detecting to driving fatigue, makes it to have entered gold period.Some achievements in research that abroad fatigue detecting obtained below.
U.S. Attention Technologies company develops Driver Fatigue Monitor (DD850) fatigue detecting early warning system, mainly to go to gather driver's eyes information by infrared camera, then utilize PERCLOS criterion to carry out fatigue and judge, finally play the object of early warning.This device is subject to the limitation in driver driving orientation, when driver could normally detect in position time.
According to French media report, find that in time driver occurs that the key of tired and sleepiness is to capture the state that its eyelid stops opening and closing.For this reason, Renault has succeeded in developing a kind of infrared facility for 5 years consuming time.This device need to be arranged on vehicle front, with driver's eyes directly to looking.When driver's eyelid stops opening and closing, while there is tired meaning, infrared facility can give the alarm immediately, and driver is waken up with a start, and continues to keep normal driving.The shortcoming of this device is: more late to driver fatigue early warning, when driver's eyes stops opening and closing by the time, belonged to sleep period, and this is quite unfavorable to driving, and for driver safety, drives, and must accomplish to give warning in advance.
In addition, the achievement more than relating to all cannot realize the function of driver tired driving remote alarms and driving condition inquiry.
Summary of the invention
For the deficiencies in the prior art, the present invention proposes a kind of fatigue driving remote monitoring and warning system and method for analyzing based on physiologic information, to reach quick Real-Time Monitoring, remote alarms and inquiry, early to detect driver fatigue state, improve the object that detects pre-alerting ability.
A kind of fatigue driving remote monitoring and warning system of analyzing based on physiologic information, this system comprises brain wave acquisition device, host computer and slave computer, this system also comprises mobile module, wherein, brain wave acquisition device input connects driver's cerebral cortex, brain wave acquisition device outfan transmission EEG signals is to host computer, α band signal is processed and extracted to host computer to gathering EEG signals, according to α band signal excursion, export corresponding driver status data to slave computer, slave computer output alarm signal is to mobile module.
The method that the fatigue driving remote monitoring of employing based on physiologic information analysis and warning system are carried out remote monitoring and warning, comprises that step is as follows:
Step 2, host computer are processed gathering driver's EEG signals, and driver status data are issued to slave computer;
Step 2-1, the driver's EEG signals gathering is carried out wavelet transformation and extracted EEG signals;
Step 2-2,8～13Hz α band signal in the EEG signals after processing is extracted;
Step 2-3 also judges the amplitude of variation of α band signal in EEG signals, when α band signal amplitude changes in 6%～15% scope, confirms as and occurs driving tired symptom, and output state data are to slave computer and return to execution step 2-1;
Step 2-4, when α band signal amplitude changes in 16%～25% scope, confirm as and occur serious driving fatigue symptom, output state data are to slave computer and return to execution step 2-1;
Step 2-5, when α band signal amplitude changes while being less than 6%, confirm as driver's state of can normally driving, output state data are to slave computer and return to execution step 2-1.
Step 3, slave computer carry out normal driving, slight tired and serious tired classification according to status data to driver's situation, and send corresponding short message to driver monitor staff hands machine according to alarm device and mobile module in different status data control cars;
Step 3-1, reception host computer send data;
Step 3-2, in slave computer, judgement receives driver status data, if drive tired symptom, controls alarm device in car;
If the serious driving fatigue symptom of step 3-3, controls the interior alarm device of car and performs step 3-5;
The state if step 3-4 normally drives, returns to execution step 3-1;
Step 3-5, mobile module send SMS alarm to driver monitor staff.
The method that the fatigue driving remote monitoring of employing based on physiologic information analysis and warning system are inquired about, comprises that step is as follows:
Step 2, by slave computer to host computer, send query statement;
Step 3, host computer are sent to slave computer by driver's driving condition;
Step 4, slave computer are sent to mobile module by signal, and mobile module sends note to driver monitor staff mobile phone.
Advantage of the present invention:
A kind of fatigue driving remote monitoring and warning system and method for analyzing based on physiologic information of the present invention, utilizes mobile module can make driver monitor staff real-time query driver's the state of driving, and reminds and prevents driver tired driving in time; When driver is during in fatigue driving state, the present invention can be by analyzing EEG signals and alarm, if driver still adheres to driving, slave computer sends warning message to monitor staff's mobile phone by controlling mobile module, thereby improves the detection pre-alerting ability of driver tired driving.
Accompanying drawing explanation
Fig. 1 is an embodiment of the present invention apparatus structure block diagram;
Fig. 2 is the electrode connection diagram of an embodiment of the present invention brain wave acquisition device;
Fig. 3 is an embodiment of the present invention remote monitoring and warning partial circuit schematic diagram;
Fig. 4 is an embodiment of the present invention Chip Microcomputer A workflow diagram;
Fig. 5 is an embodiment of the present invention single-chip microcomputer B workflow diagram;
Fig. 6 is fatigue driving monitoring and the alarm flow figure that an embodiment of the present invention is analyzed based on physiologic information;
Fig. 7 is an embodiment of the present invention host computer flow chart of data processing figure;
Fig. 8 is an embodiment of the present invention brain α ripple active degree schematic diagram;
Wherein: A) be brain α ripple active degree schematic diagram under normal condition; B) be brain α ripple active degree schematic diagram under fatigue driving state;
Fig. 9 is an embodiment of the present invention slave computer warning function flow chart;
Figure 10 is an embodiment of the present invention driver status querying flow figure.
The specific embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are described further.
Fig. 1 is an embodiment of the present invention apparatus structure block diagram, this device comprises brain wave acquisition device, host computer and slave computer, this system also comprises mobile module, wherein, brain wave acquisition device input connects driver's cerebral cortex, brain wave acquisition device outfan transmission EEG signals is to host computer, and host computer is exported tired signal to slave computer, and slave computer output alarm signal is to mobile module.In the embodiment of the present invention, brain wave acquisition device adopts the brain-computer interface BCI-II brain wave acquisition equipment of Northeastern University's bioelectronics laboratory design, host computer adopts PC, and slave computer adopts two STC89C52 model single-chip microcomputers, and mobile phone remote communication module adopts TC35 type mobile module.As shown in Figure 2, brain wave acquisition device connects human brain Fp1, Fp2, P3, P4, Fz ,Pz position by six electrodes, and brain wave acquisition device is connected with PC by USB port in addition, and PC nine needles serial port connects the nine needles serial port of slave computer Chip Microcomputer A.
Fig. 3 is an embodiment of the present invention remote monitoring warning and query portion circuit theory diagrams.Comprise slave computer (STC89C52 model Chip Microcomputer A, STC89C52 model single-chip microcomputer B) and mobile module TC35.
Driver status monitoring, alarming function realizes: host computer is by serial ports DB9(nine needles serial port) data are passed to slave computer Chip Microcomputer A DB9 serial port (nine needles serial port), after Chip Microcomputer A is classified to data, alarm signal is sent to single-chip microcomputer B, and the P00 of Chip Microcomputer A, P01, P02, P03 pin connect respectively P10, P11, P12, the P13 pin of single-chip microcomputer B.Single-chip microcomputer B receives after signal, calls note router, controls mobile module TC35 and sends note, thereby realize warning function, and wherein the P20 of single-chip microcomputer B, RXD, TXD pin connect IGT, TxD0, the RxD0 pin of mobile module TC35.
In the embodiment of the present invention, Chip Microcomputer A is by serial ports DB9(nine needles serial port) receive the data that host computer sends; As shown in Figure 4, Chip Microcomputer A receives after data, judges whether the P00 pin of Chip Microcomputer A sets to 0, if set to 0 Chip Microcomputer A, query statement is issued to host computer, host computer is issued Chip Microcomputer A according to driver's EEG signals by status data, and Chip Microcomputer A is classified status data; If set to 0 Chip Microcomputer A, directly do not judge and accept data, and carry out status data classification.In the present embodiment, adopt hexadecimal " 0X01 ", " 0X02 ", " 0X03 " code as data command, driver's situation is carried out to normal driving, slight tired and serious tired classification, if equal hexadecimal " 0X01 " code Chip Microcomputer A pin P01 set to 0, control internal loudspeaker is reported to the police, Chip Microcomputer A will set to 0 signal and be sent to the P11 pin of single-chip microcomputer B, and P00, the P01 of time delay Chip Microcomputer A after 1 second, P02, P03 pin put 1; If equal hexadecimal " 0X02 " code Chip Microcomputer A pin P02 set to 0, simultaneously internal loudspeaker is reported to the police, Chip Microcomputer A will set to 0 signal and be sent to the P12 pin of single-chip microcomputer B, P00, the P01 of time delay Chip Microcomputer A after 1 second, P02, P03 pin put 1; If data equal hexadecimal " 0X03 " code, Chip Microcomputer A pin P03 sets to 0, and Chip Microcomputer A will set to 0 signal and be sent to the P13 pin of single-chip microcomputer B, and P00, the P01 of time delay Chip Microcomputer A after 1 second, P02, P03 pin put 1;
As shown in Figure 5, single-chip microcomputer B receives after the data of Chip Microcomputer A transmission, because the serious fatigue warning priority of driver is higher than the priority of query function, therefore first single-chip microcomputer B judges whether P12 pin sets to 0, if set to 0 single-chip microcomputer B, by pin P20, send a signal to mobile module TC35, mobile module TC35 sends " seriously tired " warning message to driver monitor staff mobile phone; If P12 pin does not set to 0, judge that mobile module TC35 receives Query Information, if receive short message enquiry, single-chip microcomputer B sets to 0 pin P10 (time delay puts 1 in 1 second) and is passed to the P00 pin of Chip Microcomputer A, Chip Microcomputer A is issued host computer by query statement, host computer is issued Chip Microcomputer A according to driver's EEG signals by status data, Chip Microcomputer A is classified status data, and status data is issued to single-chip microcomputer B, if setting to 0, the P12 pin of single-chip microcomputer B controls mobile module TC35 transmission " seriously tired " information to driver monitor staff mobile phone; If setting to 0, the P11 pin of single-chip microcomputer B controls mobile module TC35 transmission " slightly tired " information to driver monitor staff hands machine; If setting to 0, the P13 pin of single-chip microcomputer B controls mobile module TC35 transmission " normal driving " information to driver monitor staff mobile phone.
The method that the fatigue driving remote monitoring of employing based on physiologic information analysis and warning system are carried out remote monitoring and warning,, as shown in Figure 6, comprise that step is as follows:
As shown in Figure 2, brain-computer interface BCI-II brain wave acquisition equipment connects human brain Fp1, Fp2, P3, P4, Fz ,Pz position by six electrodes to the wearing mode of brain wave acquisition device;
Step 2, host computer are processed gathering driver's EEG signals, and driver status data are issued to slave computer;
As shown in Figure 7, comprise that step is as follows:
Step 2-1, the driver's EEG signals gathering is carried out wavelet transformation and extracted EEG signals;
Step 2-2,8～13Hz α band signal (referring to that frequency is in the EEG signals of 8～13Hz) in the EEG signals after processing is extracted;
α ripple when tired in the EEG signals of the occipitalia (brain electrode P3 ,P4 position) of human brain has a declining tendency, and the α ripple of while in the EEG signals of the forehead (brain electrode Fp1 ,Fp2 position) of brain has the trend of rising, as shown in Figure 8.
Step 2-3 also judges the amplitude of variation of α band signal in EEG signals, when α band signal amplitude changes in 6%～15% scope, confirm as and occur to drive tired symptom, host computer outputting ten senary " 0X01 " code is to slave computer, and returns to execution step 2-1;
Step 2-4, when α band signal amplitude changes in 16%～25% scope, confirm as and occur serious driving fatigue symptom, host computer outputting ten senary " 0X02 " code is to slave computer, and returns to execution step 2-1;
Step 2-5, when α band signal amplitude changes while being less than 6%, confirm as driver's state of can normally driving, host computer outputting ten senary " 0X03 " code is to slave computer, and returns to execution step 2-1.
Step 3, slave computer carry out normal driving, slight tired and serious tired classification according to status data to driver's situation, and send corresponding short message to driver monitor staff hands machine according to alarm device and mobile module in different status data control cars;
As shown in Figure 9, comprise that step is as follows:
Step 3-1, reception host computer send data;
Step 3-2, in slave computer, judgement receives driver status data, if drive tired symptom, receiving signal is hexadecimal " 0X01 " code, controls alarm device in car;
If the serious driving fatigue symptom of step 3-3, receiving signal is hexadecimal " 0X02 " code, controls the interior alarm device of car and carries out 3-5;
The state if step 3-4 normally drives, receiving signal is hexadecimal " 0X03 " code, returns to execution step 3-1;
Step 3-5, mobile module send SMS alarm to driver monitor staff.
The method that the fatigue driving remote monitoring of employing based on physiologic information analysis and warning system are inquired about, as shown in figure 10, comprises that step is as follows:
Step 2, by slave computer to host computer, send query statement;
Step 3, host computer are sent to slave computer by driver's driving condition;
Step 4, slave computer are sent to mobile module by signal, and mobile module sends note to driver monitor staff mobile phone.
Claims (3)
1. fatigue driving remote monitoring and a warning system of analyzing based on physiologic information, this system comprises brain wave acquisition device, host computer and slave computer, it is characterized in that: this system also comprises mobile module, wherein, brain wave acquisition device input connects driver's cerebral cortex, brain wave acquisition device outfan transmission EEG signals is to host computer, α band signal is processed and extracted to host computer to gathering EEG signals, according to α band signal excursion, export corresponding driver status data to slave computer, slave computer output alarm signal is to mobile module.
2. the method that described in employing claim 1, the fatigue driving remote monitoring based on physiologic information analysis and warning system are carried out remote monitoring and warning, is characterized in that: comprise that step is as follows:
Step 1, the EEG signals of brain wave acquisition device Real-time Collection driver when driving;
Step 2, host computer are processed gathering driver's EEG signals, and driver status data are issued to slave computer;
Step 2-1, the driver's EEG signals gathering is carried out wavelet transformation and extracted EEG signals;
Step 2-2,8～13Hz α band signal in the EEG signals after processing is extracted;
Step 2-3 also judges the amplitude of variation of α band signal in EEG signals, when α band signal amplitude changes in 6%～15% scope, confirms as and occurs driving tired symptom, and output state data are to slave computer and return to execution step 2-1;
Step 2-4, when α band signal amplitude changes in 16%～25% scope, confirm as and occur serious driving fatigue symptom, output state data are to slave computer and return to execution step 2-1;
Step 2-5, when α band signal amplitude changes while being less than 6%, confirm as driver's state of can normally driving, output state data are to slave computer and return to execution step 2-1.
Step 3, slave computer carry out normal driving, slight tired and serious tired classification according to status data to driver's situation, and send corresponding short message to driver monitor staff hands machine according to alarm device and mobile module in different status data control cars;
Step 3-1, reception host computer send data;
Step 3-2, in slave computer, judgement receives driver status data, if drive tired symptom, controls alarm device in car;
If the serious driving fatigue symptom of step 3-3, controls the interior alarm device of car and performs step 3-5;
The state if step 3-4 normally drives, returns to execution step 3-1;
Step 3-5, mobile module send SMS alarm to driver monitor staff.
3. the method that described in employing claim 1, the fatigue driving remote monitoring based on physiologic information analysis and warning system are inquired about, is characterized in that: comprise that step is as follows:
Step 1, mobile module real-time judge have or not detection Query Information, if having, perform step 2, if nothing is returned to execution step 1;
Step 2, by slave computer to host computer, send query statement;
Step 3, host computer are sent to slave computer by driver's driving condition;
Step 4, slave computer are sent to mobile module by signal, and mobile module sends note to driver monitor staff mobile phone.
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| CN112451833A (en) * | 2020-11-10 | 2021-03-09 | 东北电力大学 | System and method for detecting and relieving driving fatigue based on personalized music recommender |
| CN112450933B (en) * | 2020-11-10 | 2022-09-20 | 东北电力大学 | Driving fatigue monitoring method based on multiple types of characteristics of human body |
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