[go: up one dir, main page]

CN108877150A - A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number - Google Patents

A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number Download PDF

Info

Publication number
CN108877150A
CN108877150A CN201810730215.7A CN201810730215A CN108877150A CN 108877150 A CN108877150 A CN 108877150A CN 201810730215 A CN201810730215 A CN 201810730215A CN 108877150 A CN108877150 A CN 108877150A
Authority
CN
China
Prior art keywords
chip
pin
power supply
module
connects
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN201810730215.7A
Other languages
Chinese (zh)
Inventor
张屹然
代文卓
纪琳德
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN201810730215.7A priority Critical patent/CN108877150A/en
Publication of CN108877150A publication Critical patent/CN108877150A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/18Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/20Workers
    • A61B2503/22Motor vehicles operators, e.g. drivers, pilots, captains

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Psychiatry (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • General Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • Psychology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Social Psychology (AREA)
  • Hospice & Palliative Care (AREA)
  • Educational Technology (AREA)
  • Developmental Disabilities (AREA)
  • Child & Adolescent Psychology (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)

Abstract

A kind of tired driver based on biological brain electrical chip drive monitoring device with and tired distinguished number belong to traffic safety technical field;Including CPU module, biological brain electrical chip module, voice alarm module, state instruction lamp module, the dry electrode contacts of brain wave acquisition, brain wave acquisition reference electrode contact and power module;The dry electrode contacts of brain wave acquisition connect the input terminal of biological brain electrical chip module with brain wave acquisition reference electrode contact output end, the biological brain electrical chip module is bi-directionally connected with CPU module, the CPU module is separately connected voice alarm module and state instruction lamp module, and the power supply is whole device power supply;The present invention realize a kind of real-time monitoring driver whether the device of fatigue driving, have the response time short, the high feature of accuracy rate improves utilization ratio of device, reduces device use cost.

Description

A kind of tired driver driving monitoring device and fatigue differentiation based on biological brain electrical chip Algorithm
Technical field
The invention belongs to traffic safety technical fields, and in particular to a kind of tired driver driving based on biological brain electrical chip Monitoring device and tired distinguished number.
Background technique
With increasing for vehicles number, traffic accident also continues to increase.Statistical data shows China every year due to fatigue About 9000 people of death toll, brings huge personnel and property loss to country caused by driving.Statistical data shows driver Traffic accident caused by fatigue accounts for 20% or so of traffic accident sum, accounts for 40% or more of especially big traffic accident number.If energy Early warning is given at the initial stage that tired driver generates, then traffic accident will be reduced, it is significant to traffic safety.
Existing tired driver detection is much based on face technology, since it is desired that normal condition and tired shape to driver The feature of state carries out identification discriminant classification, and hardware cost is higher, and live effect is poor, it is difficult to realize, and because of the fatigue of some drivers In face there is no especially reflection, influenced by personal characteristics bigger.
Summary of the invention
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of, the tired driver based on biological brain electrical chip drives prison Survey device and tired distinguished number.
The object of the present invention is achieved like this:
A kind of tired driver driving monitoring device based on biological brain electrical chip, including CPU module, biological brain The dry electrode contacts of electrical chip module, voice alarm module, state instruction lamp module, brain wave acquisition, the touching of brain wave acquisition reference electrode Point and power module;The dry electrode contacts of brain wave acquisition connect biological brain battery core with brain wave acquisition reference electrode contact output end The input terminal of piece module, the biological brain electrical chip module are bi-directionally connected with CPU module, the central processing unit mould Block is separately connected voice alarm module and state instruction lamp module, and the power supply is whole device power supply.
Further, the CPU module includes chip U1, model STM32F103C8T6, resistance R1, R19 And R20, capacitor C1, crystal oscillator Y1 and expansion interface SWD;The pin 3 of chip U1 passes through crystal oscillator Y1 connection chip Pin 4, the pin 10 of chip U1 are separately connected the one end R19 and one end of R20, and the other end of R19 connects ground wire, and chip U1's draws Foot 24 is separately connected the pin 9 and power supply 3.3V of the pin 36 of chip U1, the pin 48 of chip U1, chip U1, and chip U1's draws Foot 23 is separately connected the pin 8 and ground wire of the pin 35 of chip U1, the pin 47 of chip U1, chip U1, and the pin 7 of chip U1 divides Not Lian Jie one end of R1 and one end of C1, the other end of R1 connects power supply 3.3V, and the other end of C1 connects ground wire, and chip U1's draws Foot 44 connects ground wire, and the pin 1 of expansion interface SWD connects power supply 3.3V, and the pin 2 of expansion interface SWD connects ground wire, and extension connects The pin 3 of mouth SWD connects the pin 36 of chip U1, and the pin 4 of expansion interface SWD connects the pin 37 of chip U1.
Further, the biological brain electrical chip module includes chip U4, model TGAM1, resistance R10 and R11, winding displacement P1;The pin 1 of chip U4 connects power supply 3.3V, and the pin 2 of chip U4 is separately connected ground wire and the pin 3 of chip U4, chip U4 Pin 4 connect power supply 3.3V, the pin 5 of chip U4 is passed through by the pin 30 of R10 connection chip U1, the pin 6 of chip U4 The pin 1 of the pin 31 of R11 connection chip U1, the 7 connection cable P1 pin 3 of pin of chip U4, winding displacement P1 connects power supply 3.7V, The pin 2 of winding displacement P1 connects ground wire.
Further, the dry electrode contacts of the brain wave acquisition and brain wave acquisition reference electrode contact output end pass through bluetooth mould Block connects the input terminal of biological brain electrical chip module, and the bluetooth module includes chip U2, model HC-052, resistance R48, R49 and R50;The pin 12 of chip U2 connects power supply 3.3V, and the pin 13 and 21 of chip U2 connects ground wire, the pin 32 of chip U2 By the pin 20 of R48 connection chip U1, the pin 34 of chip U2 is separately connected one end of R49 and one end of R50, and R50's is another One end connects ground wire.
Further, the power module includes charge switch circuit and power supply circuit, and the charge switch circuit includes Chip U3, model TP4056, chip U6, model SN74LVC2G74, chip U7, model 74LVC1G17, resistance R7, R12, R51 and R60, capacitor C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12 and C12, USB connect Mouthful, switch S1;The pin 2 of chip U3 connects one end of R12, and the other end of R12 connects the pin 3 of chip U3, ground wire and C12 One end, the other end of C12 connect the pin 8 of the pin 4 of chip U3,5V power supply and chip U3, and the pin 5 of chip U3 is separately connected The pin 6,7 and 8 of 1 endpoint of switch S1, power supply 3.7V, chip U6,2 endpoints of switch S1 are separately connected one end and the R7 of R51 One end, the other end of R51 is separately connected ground wire and one end of C13, and the other end of R7 is separately connected the other end and chip of C13 The pin 2 of U7, the pin 3 of chip U7 connect ground wire, and the pin 5 of chip U7 connects power supply 3.7V, and the pin 4 of chip U7 connects One end of R60, the other end of R60 are separately connected one end of C60 and the pin 1 of chip U6, and the other end of C60 connects ground wire, core The pin 2 of piece U6 connects pin 3, and the pin 4 of chip U6 connects ground wire, and C50 and C51 are in parallel, and one end connects power supply 3.7V, another End connection ground wire, usb 1 endpoint connect ground wire, and 5 endpoint of USB interface connects power supply 5V, C5 and C6 parallel connection, one end connection electricity Source V3.3-2, the other end connect ground wire, and C4, C3, C7, C8, C9, C10 and C11 are in parallel, and one end connects power supply 3.3V, and the other end connects Ground line.
Further, the charging circuit includes inductance L1, chip U54, model MP2155GQ, resistance R14, R15, R16 and R18, capacitor C14, C15, C16, C17 and C18;The pin 1 of chip U5 is separately connected one end of R14, one end of R17, electricity One end of source 3.3V, C16 and one end of C17, the other end of R14 are separately connected the pin 10 of chip U5, one end of R15 and C18 One end, the other end of the other end connection C18 of R17, one end of the other end connection R16 of R15, C16 with the C17 other end connects The pin 9 of ground wire, the other end of R16 and chip U5, the pin 2 of chip U5 by the pin 4 of L1 connection chip U5, chip U5's Pin 5 is separately connected pin 8, one end of C15 and one end of C14 of chip U5, and C14 connects chip U5's with the other end of C15 The pin 3 and ground wire of pin 7, chip U5.
Further, the voice alarm module includes triode Q1 and Q2, model SS8550, buzzer bee, resistance R6 and R53;The emitter of Q1 connects power supply 3.3V, and the collector of Q1 connects power supply V3.3_2, and the base stage of Q1 connects core by R6 The pin 18 of piece U1,1 endpoint of buzzer bee connect power supply 3.3V, and 2 endpoints of buzzer bee connect the collector of Q2, Q2's Emitter connects ground wire, and the base stage of Q2 connects R53.
Further, the state instruction lamp module includes color driver RGB_LED, resistance Rp2 and R23, shines two Pole pipe D1 and D2;The pin 42 of the 1 endpoint connection chip U1 of Rp2, the pin 41 of the 2 endpoints connection chip U1 of Rp2,3 ends of Rp2 The pin 40 of point connection chip U1, the pin 39 of the 4 endpoints connection chip U1 of Rp2, one end of the 5 endpoints connection D2 of Rp2, D2's The other end connects one end of D1,6 endpoints of the other end connection Rp2 of D1, and 7 endpoints of Rp2 connect color driver RGB_LED's 2 endpoints, 8 endpoints of the 1 endpoint connection Rp2 of color driver RGB_LED, 3 endpoints of color driver RGB_LED pass through R23 Connect the pin 43 of chip U1, the anode connection power supply 3.3V of color driver RGB_LED.
A kind of tired driver based on described based on biological brain electrical chip drives the tired distinguished number of monitoring device realization, Include the following steps:
Step 1 reads POOR SIGNAl mass value α;
Step 2 judges whether α is qualified, if unqualified, abandon the data, re-execute the steps 1;If qualified, step is executed Rapid 3;
α E.E.G value is denoted as d in the data packet that step 3, reading biological brain electrical chip are sent, and reads θ brain in the data packet Wave number is denoted as e, reads β E.E.G value in the data packet and is denoted as f;
Step 4 calculates formula R=(d+e)/f, obtains the value of R, and step 4 counts formula R=(d+e)/f It calculates, obtains the value of R, R indicates the sum and the ratio relation of β E.E.G of α E.E.G, θ E.E.G;
Step 5 judges R whether in threshold range, if determining that operator's brain at this time is clear in threshold range It wakes up, without alarm, executes step 1;If determining that operator at this time is in a state of fatigue not in threshold range, being reported It is alert, and execute step 1.
Beneficial effect:
A kind of tired driver based on biological brain electrical chip of the present invention drives monitoring device and tired distinguished number, device are logical The input terminal that the dry electrode contacts of brain wave acquisition connect biological brain electrical chip module with brain wave acquisition reference electrode contact output end is crossed, Biological brain electrical chip module is bi-directionally connected with CPU module, CPU module be separately connected voice alarm module and State instruction lamp module, power supply are whole device power supply, realize a kind of real-time monitoring driver whether the device of fatigue driving, this Inventive structure is simple, is easy to implement, and compared with prior art, device has following advantage:
1, device is portable, without dedicated:It can be integrated in cap liner and carry out as wearable equipment using can be with Body carries, and avoids and grasps the similar devices such as force feedback based on image procossing, the human body attitude identification of inertial navigation measurement and steering wheel Installation is complicated, and can only be fixedly mounted, the disadvantage that special train is dedicated, improves utilization ratio of device, reduces device use cost;
2, using low with installation cost:TunePower can be used, it is easy, at low cost without specially installing, operating with It is honest and clean easy to promote and utilize.
Method directly contacts brain acquisition by reading the dry electrode contacts of brain wave acquisition and brain wave acquisition reference electrode contact Brain wave, carry out threshold value comparison, blink state, brain load factor, parameters such as attention index of driver be monitored, are used Autonomous feedback learning model adaptively adjusts early warning, alarm threshold value in use, and carries out intelligent decision, avoids driver Body difference differentiates the influence of result to device, avoids through image procossing and the identification of the human body attitude of inertial navigation measurement method, side It being grasped to disk and differentiates delay caused by force feedback etc., the high disadvantage of False Rate has the response time short, the high feature of accuracy rate, Monitoring parameters multiplicity, using autonomous feedback learning model intelligent distinguishing.
Detailed description of the invention
Fig. 1 is the structural diagram of the invention.
Fig. 2 is CPU module circuit diagram.
Fig. 3 is biological brain electrical chip module circuit diagram.
Fig. 4 is bluetooth module circuit diagram.
Fig. 5 is charge switch circuit figure.
Fig. 6 is charging circuit diagram.
Fig. 7 is voice alarm module circuit diagram.
Fig. 8 is state instruction lamp module circuit diagram.
Fig. 9 is tired distinguished number flow chart.
In figure:1 central processor module, 2 biological brain electrical chip modules, 3 voice alarm modules, 4 state instruction lamp modules, 5 The dry electrode contacts of brain wave acquisition, 6 brain wave acquisition reference electrode contacts, 7 power modules.
Specific embodiment
The specific embodiment of the invention is described in further detail with reference to the accompanying drawing.
Specific embodiment one
A kind of tired driver driving monitoring device based on biological brain electrical chip, as shown in Figure 1, including central processing unit mould Block 1, biological brain electrical chip module 2, voice alarm module 3, state instruction lamp module 4, the dry electrode contacts 5 of brain wave acquisition, brain electricity Acquire reference electrode contact 6 and power module 7;The dry electrode contacts 5 of the brain wave acquisition and brain wave acquisition reference electrode contact 6 are defeated Outlet connects the input terminal of biological brain electrical chip module 2, and the biological brain electrical chip module 2 is two-way with CPU module 1 Connection, the CPU module 2 are separately connected voice alarm module 3 and state instruction lamp module 4, and the power supply 7 is whole A device power supply.
Specifically, as shown in Fig. 2, the CPU module 1 includes chip U1, model STM32F103C8T6, electricity Hinder R1, R19 and R20, capacitor C1, crystal oscillator Y1 and expansion interface SWD;The pin 3 of chip U1 passes through crystal oscillator Y1 Chip pin 4 is connected, the pin 10 of chip U1 is separately connected the one end R19 and one end of R20, and the other end of R19 connects ground wire, core The pin 24 of piece U1 is separately connected the pin 9 and power supply 3.3V of the pin 36 of chip U1, the pin 48 of chip U1, chip U1, core The pin 23 of piece U1 is separately connected the pin 8 and ground wire of the pin 35 of chip U1, the pin 47 of chip U1, chip U1, chip U1 Pin 7 be separately connected one end of R1 and one end of C1, the other end of R1 connects power supply 3.3V, and the other end of C1 connects ground wire, The pin 44 of chip U1 connects ground wire, and the pin 1 of expansion interface SWD connects power supply 3.3V, and the pin 2 of expansion interface SWD connects Ground wire, the pin 3 of expansion interface SWD connect the pin 36 of chip U1, and the pin 4 of expansion interface SWD connects the pin of chip U1 37。
The CPU module 1 is main control of the invention, realizes logical process work.
Specifically, as shown in figure 3, the biological brain electrical chip module 2 includes chip U4, model TGAM1, resistance R10 And R11, winding displacement P1;The pin 1 of chip U4 connects power supply 3.3V, and the pin 2 of chip U4 is separately connected drawing for ground wire and chip U4 Foot 3, the pin 4 of chip U4 connect power supply 3.3V, the pin 5 of chip U4 by the pin 30 of R10 connection chip U1, chip U4's The pin 1 of pin 31 of the pin 6 by R11 connection chip U1, the 7 connection cable P1 pin 3 of pin of chip U4, winding displacement P1 connects The pin 2 of power supply 3.7V, winding displacement P1 connect ground wire.
The biological brain electrical chip module 2 realizes handling to EEG signals.
Specifically, as shown in figure 4,6 output end of the dry electrode contacts 5 of the brain wave acquisition and brain wave acquisition reference electrode contact The input terminal of biological brain electrical chip module 2 is connected by bluetooth module, the bluetooth module includes chip U2, model HC- 052, resistance R48, R49 and R50;The pin 12 of chip U2 connects power supply 3.3V, and the pin 13 and 21 of chip U2 connects ground wire, core For the pin 32 of piece U2 by the pin 20 of R48 connection chip U1, the pin 34 of chip U2 is separately connected one end and the R50 of R49 The other end of one end, R50 connects ground wire.
Bluetooth module realizes transmission-receiving function, right by the dry electrode contacts 5 of brain wave acquisition and brain wave acquisition reference electrode contact 6 EEG signals are transmitted to biological brain electrical chip module 2 by the acquisition of EEG signals.
Specifically, as shown in figure 5, the power module 7 includes charge switch circuit and power supply circuit, the charge switch Circuit includes chip U3, model TP4056, chip U6, model SN74LVC2G74, chip U7, model 74LVC1G17, Resistance R7, R12, R51 and R60, capacitor C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12 and C12, USB interface, switch S1;The pin 2 of chip U3 connects one end of R12, the pin 3 of the other end connection chip U3 of R12, ground wire and One end of C12, the other end of C12 connect the pin 8 of the pin 4 of chip U3,5V power supply and chip U3, and the pin 5 of chip U3 divides The pin 6,7 and 8 of 1 endpoint of other connection switch S1, power supply 3.7V, chip U6,2 endpoints of switch S1 are separately connected the one of R51 The one end at end and R7, the other end of R51 are separately connected ground wire and one end of C13, and the other end of R7 is separately connected the other end of C13 With the pin 2 of chip U7, the pin 3 of chip U7 connects ground wire, and the pin 5 of chip U7 connects power supply 3.7V, the pin 4 of chip U7 One end of R60 is connected, the other end of R60 is separately connected one end of C60 and the pin 1 of chip U6, and the other end of C60 connects ground Line, the pin 2 of chip U6 connect pin 3, and the pin 4 of chip U6 connects ground wire, and C50 and C51 are in parallel, and one end connects power supply 3.7V, the other end connect ground wire, and usb 1 endpoint connects ground wire, and 5 endpoint of USB interface connection power supply 5V, C5 and C6 is in parallel, and one End connection power supply V3.3-2, the other end connect ground wire, and C4, C3, C7, C8, C9, C10 and C11 are in parallel, and one end connects power supply 3.3V, The other end connects ground wire.
Specifically, as shown in fig. 6, the charging circuit includes inductance L1, chip U54, model MP2155GQ, resistance R14, R15, R16 and R18, capacitor C14, C15, C16, C17 and C18;The pin 1 of chip U5 is separately connected one end of R14, R17 One end, one end of power supply 3.3V, C16 and one end of C17, the other end of R14 is separately connected the pin 10 of chip U5, R15 One end of one end and C18, the other end of the other end connection C18 of R17, one end of the other end connection R16 of R15, C16 and C17 The other end connects ground wire, the other end of R16 and the pin 9 of chip U5, the pin that the pin 2 of chip U5 passes through L1 connection chip U5 The pin 5 of 4, chip U5 are separately connected pin 8, one end of C15 and one end of C14 of chip U5, the other end company of C14 and C15 Connect the pin 7 of chip U5, the pin 3 of chip U5 and ground wire.
The power module 7 realizes the adjusting of control, the power supply to power supply and the charge function of lithium battery.
Specifically, as shown in fig. 7, the voice alarm module 3 includes triode Q1 and Q2, model SS8550, buzzing Device bee, resistance R6 and R53;The emitter of Q1 connects power supply 3.3V, and the collector of Q1 connects power supply V3.3_2, and the base stage of Q1 is logical The pin 18 of R6 connection chip U1 is crossed, 1 endpoint of buzzer bee connects power supply 3.3V, the 2 endpoints connection Q2's of buzzer bee Collector, the emitter of Q2 connect ground wire, and the base stage of Q2 connects R53.
The voice alarm module 3 is realized when tired driver drives, and audible alarm is carried out.
Specifically, as shown in figure 8, the state instruction lamp module 4 include color driver RGB_LED, resistance Rp2 and R23, light emitting diode D1 and D2;The pin 42 of the 1 endpoint connection chip U1 of Rp2, the pin of the 2 endpoints connection chip U1 of Rp2 The pin 40 of 41, Rp2 3 endpoints connection chip U1, the pin 39 of the 4 endpoints connection chip U1 of Rp2,5 endpoints of Rp2 connect D2 One end, D2 the other end connection D1 one end, D1 the other end connection Rp2 6 endpoints, Rp2 7 endpoints connection color driving 2 endpoints of device RGB_LED, 8 endpoints of the 1 endpoint connection Rp2 of color driver RGB_LED, the 3 of color driver RGB_LED Pin 43 of the endpoint by R23 connection chip U1, the anode connection power supply 3.3V of color driver RGB_LED.
D1 is green light in the state instruction lamp module 4, and D2 is red light, when driver's state is normal, green light;Work as driver When there is fatigue, red light is bright, is warned.
As shown in figure 9, CPU module 1 and biological brain electrical chip module 2 are embedded into pcd circuit board.
Working principle:The dry electrode contacts 5 of brain wave acquisition are placed at driver's forehead, brain wave acquisition reference electrode 6 place with At driver's external auditory canal.During the dry electrode contacts 5 of brain wave acquisition and brain wave acquisition reference electrode 6 in real time acquisition driver driving Micro voltage signal to biological brain electrical chip module 2, micro voltage signal is converted into brain wave letter by biological brain electrical chip module 2 Number and CPU module 1 is sent to by serial line interface.CPU module 1 is according to extraction driver blink shape respectively After state, brain load factor, attention index, tired driver driving condition is carried out according to differentiation process and early warning, alarm threshold value Identification, and recognition result is shown in a manner of state instruction lamp module 4.If driver attention index is lower than default threshold Value, then carry out early warning processing, plays auditory tone cues to driver, prompting department by voice alarm module 3 in a manner of voice prompting Machine should concentrate one's energy to carry out driver behavior.If driver's brain load factor is more than preset fatigue threshold value or accumulation driving time is more than Preset threshold then carries out alert process, plays auditory tone cues to driver by voice alarm module 3 in a manner of voice prompting, Remind driver that should stop driving and resting to alleviate driving fatigue.If being lower than preset threshold by driver's frequency of wink, sentence Other driver enters or will fall into a comatose state, then by increasing 3 reminding sound volume of voice alarm module and external status indicator lamp 6 strobe mode of module carries out tired driver and drives alarm.
Specific embodiment two
A kind of tired driver based on described based on biological brain electrical chip drives the tired distinguished number of monitoring device realization, As shown in figure 9, including the following steps:
Step 1 reads POOR SIGNAl mass value α;
Step 2 judges whether α is qualified, if unqualified, abandon the data, re-execute the steps 1;If qualified, step is executed Rapid 3;
α E.E.G value is denoted as d in the data packet that step 3, reading biological brain electrical chip are sent, and reads θ brain in the data packet Wave number is denoted as e, reads β E.E.G value in the data packet and is denoted as f;
Step 4 calculates formula R=(d+e)/f, obtains the value of R, and R indicates the sum and β E.E.G of α E.E.G, θ E.E.G Ratio relation;
Step 5 judges R whether in threshold range, if determining that operator's brain at this time is clear in threshold range It wakes up, without alarm, executes step 1;If determining that operator at this time is in a state of fatigue not in threshold range, being reported It is alert, and execute step 1.
When driver goes to fatigue state by waking state, the liveness of brain is reduced, so as to cause β wave in EEG signals It reduces, and α wave increases, and when going to sleep state by fatigue, θ wave will increase.
Wherein, θ wave (4-7Hz) amplitude is 10uV-50uV, and the position mainly occurred is temporal lobe and top.Normal adult People can generate during being in deep thought, tired tired and sleep.In general, when the state of mind of people is in depth relaxation, It is easier θ wave occur, shows that the nervous centralis of people at this time is just suppressed.
α wave (8-12Hz) amplitude is 20uV-100uV, is most important wave band in chest electric wave, it is later half to be mainly distributed on brain On the entire scalp in portion, top area and occipital region are concentrated on.Normal adult will generate α wave when being under state of eyes closed.
β wave (12.5-28Hz) amplitude is 5uV-20uV, and the position more often occurred is frontal region, temporo area and central area.β wave tool There are very strong variability and unstability.β wave will be generated when people is in the excitatory states such as depth thinking, obvious anxiety, Amplitude can be weakened in strenuous exercise.
Based on above-mentioned E.E.G feature, present embodiment is with ratio relation R=(α+θ)/β as weighing operations person's fatigue journey The index parameter of degree.Tired distinguished number includes judging whether collected signal quality meets the requirements;The POOR SIGNAl Mass value α indicates signal quality grade, and value range 0-200,0 representation signal optimal quality, 200 representation signal quality are most Difference, if signal quality is met the requirements, the present embodiment takes the representation signal quality of α≤40 to meet the requirements, if signal quality is met the requirements, Then read the original E.E.G value in the data packet of biological brain electrical chip transmission, such as α>40 representation signals are off quality, and wherein α is former Beginning E.E.G, is denoted as d;Two original E.E.Gs of θ, β are denoted as e, f respectively;Carry out threshold decision.Whether R=(d+e)/f is in threshold range Interior (R<1.15);If within the scope of, can be determined that this operator's brain is awake, without alarm, continue to monitor;Such as Fruit exceeds threshold range, and operator is in a state of fatigue at this time for judgement, alarms, and be back to the first step and start to supervise next time It surveys.

Claims (9)

1. a kind of tired driver based on biological brain electrical chip drives monitoring device, which is characterized in that including central processing unit mould The dry electrode touching of block (1), biological brain electrical chip module (2), voice alarm module (3), state instruction lamp module (4), brain wave acquisition Point (5), brain wave acquisition reference electrode contact (6) and power module (7);The dry electrode contacts of brain wave acquisition (5) and brain electricity are adopted Collect the input terminal of reference electrode contact (6) output end connection biological brain electrical chip module (2), the biological brain electrical chip module (2) be bi-directionally connected with CPU module (1), the CPU module (2) be separately connected voice alarm module (3) and State instruction lamp module (4), the power supply (7) are whole device power supply.
2. the tired driver based on biological brain electrical chip drives monitoring device according to claim 1, which is characterized in that described CPU module (1) includes chip U1, model STM32F103C8T6, resistance R1, R19 and R20, capacitor C1, crystal vibration Swing device Y1 and expansion interface SWD;The pin 3 of chip U1 passes through crystal oscillator Y1 connection chip pin 4, the pin 10 of chip U1 It is separately connected the one end R19 and one end of R20, the other end of R19 connects ground wire, and the pin 24 of chip U1 is separately connected chip U1's Pin 36, the pin 48 of chip U1, chip U1 pin 9 and power supply 3.3V, the pin 23 of chip U1 is separately connected chip U1's Pin 35, the pin 47 of chip U1, chip U1 pin 8 and ground wire, the pin 7 of chip U1 is separately connected one end and the C1 of R1 One end, the other end of R1 connect power supply 3.3V, and the other end of C1 connects ground wire, and the pin 44 of chip U1 connects ground wire, and extension connects The pin 1 of mouth SWD connects power supply 3.3V, and the pin 2 of expansion interface SWD connects ground wire, and the pin 3 of expansion interface SWD connects core The pin 36 of piece U1, the pin 4 of expansion interface SWD connect the pin 37 of chip U1.
3. the tired driver based on biological brain electrical chip drives monitoring device according to claim 2, which is characterized in that described Biological brain electrical chip module (2) includes chip U4, model TGAM1, resistance R10 and R11, winding displacement P1;The pin 1 of chip U4 connects Power supply 3.3V is met, the pin 2 of chip U4 is separately connected ground wire and the pin 3 of chip U4, and the pin 4 of chip U4 connects power supply The pin 5 of 3.3V, chip U4 pass through R11 connection chip U1's by the pin 30 of R10 connection chip U1, the pin 6 of chip U4 Pin 31, the 7 connection cable P1 pin 3 of pin of chip U4, the pin 1 of winding displacement P1 connect power supply 3.7V, and the pin 2 of winding displacement P1 connects Ground line.
4. the tired driver based on biological brain electrical chip drives monitoring device according to claim 3, which is characterized in that described The dry electrode contacts of brain wave acquisition (5) connect biological brain electricity by bluetooth module with brain wave acquisition reference electrode contact (6) output end The input terminal of chip module (2), the bluetooth module include chip U2, model HC-052, resistance R48, R49 and R50;Chip The pin 12 of U2 connects power supply 3.3V, and the pin 13 and 21 of chip U2 connects ground wire, and the pin 32 of chip U2 connects core by R48 The pin 20 of piece U1, the pin 34 of chip U2 are separately connected one end of R49 and one end of R50, and the other end of R50 connects ground wire.
5. the tired driver based on biological brain electrical chip drives monitoring device according to claim 4, which is characterized in that described Power module (7) includes charge switch circuit and power supply circuit, and the charge switch circuit includes chip U3, model TP4056, chip U6, model SN74LVC2G74, chip U7, model 74LVC1G17, resistance R7, R12, R51 and R60, electricity Hold C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12, C12 and C12, USB interface, switch S1;Chip U3 Pin 2 connect one end of R12, one end of the other end connection pin 3 of chip U3 of R12, ground wire and C12, the other end of C12 The pin 4 of chip U3, the pin 8 of 5V power supply and chip U3 are connected, the pin 5 of chip U3 is separately connected 1 endpoint, the electricity of switch S1 The pin 6,7 and 8 of source 3.7V, chip U6,2 endpoints of switch S1 are separately connected one end of R51 and one end of R7, and R51's is another End is separately connected ground wire and one end of C13, and the other end of R7 is separately connected the other end of C13 and the pin 2 of chip U7, chip U7 Pin 3 connect ground wire, the pin 5 of chip U7 connects power supply 3.7V, and the pin 4 of chip U7 connects one end of R60, and R60's is another One end is separately connected one end of C60 and the pin 1 of chip U6, and the other end of C60 connects ground wire, and the connection of pin 2 of chip U6 is drawn Foot 3, the pin 4 of chip U6 connect ground wire, and C50 and C51 are in parallel, and one end connects power supply 3.7V, and the other end connects ground wire, and USB connects 1 endpoint of mouth connects ground wire, and 5 endpoint of USB interface connects power supply 5V, C5 and C6 parallel connection, and one end connects power supply V3.3-2, other end company Ground line, C4, C3, C7, C8, C9, C10 and C11 are in parallel, and one end connects power supply 3.3V, and the other end connects ground wire.
6. the tired driver based on biological brain electrical chip drives monitoring device according to claim 5, which is characterized in that described Charging circuit includes inductance L1, chip U54, model MP2155GQ, resistance R14, R15, R16 and R18, capacitor C14, C15, C16, C17 and C18;The pin 1 of chip U5 is separately connected one end of R14, one end of R17, one end of power supply 3.3V, C16 and C17 One end, the other end of R14 is separately connected pin 10, one end of R15 and one end of C18 of chip U5, the other end connection of R17 The other end of C18, one end of the other end connection R16 of R15, C16 with the C17 other end connect the other end and chip of ground wire, R16 The pin 9 of U5, the pin 2 of chip U5 are separately connected chip U5's by the pin 4 of L1 connection chip U5, the pin 5 of chip U5 Pin 8, one end of C15 and C14 one end, C14 connects 3 and of pin of the pin 7 of chip U5, chip U5 with the other end of C15 Ground wire.
7. the tired driver based on biological brain electrical chip drives monitoring device according to claim 6, which is characterized in that described Voice alarm module (3) includes triode Q1 and Q2, model SS8550, buzzer bee, resistance R6 and R53;The emitter of Q1 Power supply 3.3V is connected, the collector of Q1 connects power supply V3.3_2, pin 18 of the base stage of Q1 by R6 connection chip U1, buzzer 1 endpoint of bee connects power supply 3.3V, the collector of the 2 endpoints connection Q2 of buzzer bee, and the emitter of Q2 connects ground wire, Q2's Base stage is by the proposal of R53 connection chip U1 11.
8. the tired driver based on biological brain electrical chip drives monitoring device according to claim 7, which is characterized in that described State instruction lamp module (4) includes color driver RGB_LED, resistance Rp2 and R23, light emitting diode D1 and D2;1 end of Rp2 The pin 42 of point connection chip U1, the pin 41 of the 2 endpoints connection chip U1 of Rp2, the pin of the 3 endpoints connection chip U1 of Rp2 The pin 39 of 40, Rp2 4 endpoints connection chip U1, one end of the 5 endpoints connection D2 of Rp2, the one of the other end connection D1 of D2 End, 6 endpoints of the other end connection Rp2 of D1,2 endpoints of the 7 endpoints connection color driver RGB_LED of Rp2, color driver 8 endpoints of the 1 endpoint connection Rp2 of RGB_LED, the pin that 3 endpoints of color driver RGB_LED pass through R23 connection chip U1 The anode connection power supply 3.3V of 43, color driver RGB_LED.
9. a kind of drive what monitoring device was realized based on any tired driver based on biological brain electrical chip of claim 1-8 Tired distinguished number, which is characterized in that include the following steps:
Step 1 reads POOR SIGNAl mass value α;
Step 2 judges whether α is qualified, if unqualified, abandon the data, re-execute the steps 1;If qualified, step 3 is executed;
α E.E.G value is denoted as d in the data packet that step 3, reading biological brain electrical chip are sent, and reads θ E.E.G value in the data packet It is denoted as e, β E.E.G value in the data packet is read and is denoted as f;
Step 4 calculates formula R=(d+e)/f, obtains the value of R, and R indicates α E.E.G, the sum of θ E.E.G and the ratio of β E.E.G Value relationship;
Step 5 judges R whether in threshold range, if determining that operator's brain at this time is awake, nothing in threshold range It needs to alarm, executes step 1;If determine that operator at this time is in a state of fatigue not in threshold range, alarm, and Execute step 1.
CN201810730215.7A 2018-07-05 2018-07-05 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number Withdrawn CN108877150A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810730215.7A CN108877150A (en) 2018-07-05 2018-07-05 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810730215.7A CN108877150A (en) 2018-07-05 2018-07-05 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number

Publications (1)

Publication Number Publication Date
CN108877150A true CN108877150A (en) 2018-11-23

Family

ID=64299085

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810730215.7A Withdrawn CN108877150A (en) 2018-07-05 2018-07-05 A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number

Country Status (1)

Country Link
CN (1) CN108877150A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110334592A (en) * 2019-05-27 2019-10-15 天津科技大学 A driver abnormal behavior monitoring and safety assurance system and method thereof
CN112806996A (en) * 2021-01-12 2021-05-18 哈尔滨工业大学 Driver distraction multi-channel assessment method and system under L3-level automatic driving condition

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1613425A (en) * 2004-09-15 2005-05-11 南京大学 Method and system for drivers' fatigue prealarming biological identification
CN2891967Y (en) * 2006-04-21 2007-04-25 北京易飞华通科技开发有限公司 Driver's fatigue driving monitoring and feedback stimulating instrument
CN101243973A (en) * 2008-01-31 2008-08-20 杨杰 Method and apparatus for monitoring and awakening fatigue doze
CN102133100A (en) * 2011-03-04 2011-07-27 上海交通大学 Sparse representation-based electroencephalogram signal detection method
CN102274032A (en) * 2011-05-10 2011-12-14 北京师范大学 Driver fatigue detection system based on electroencephalographic (EEG) signals
CN103111020A (en) * 2013-02-04 2013-05-22 东北大学 System and method for detecting and relieving driving fatigue based on electrical acupoint stimulation
CN203988088U (en) * 2014-04-24 2014-12-10 闽南师范大学 A kind ofly with brain wave, extract the blink device of number of times of eyes
CN105212924A (en) * 2015-10-10 2016-01-06 安徽尚舟电子科技有限公司 A kind of based on brain wave method for detecting fatigue driving and device thereof

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1613425A (en) * 2004-09-15 2005-05-11 南京大学 Method and system for drivers' fatigue prealarming biological identification
CN2891967Y (en) * 2006-04-21 2007-04-25 北京易飞华通科技开发有限公司 Driver's fatigue driving monitoring and feedback stimulating instrument
CN101243973A (en) * 2008-01-31 2008-08-20 杨杰 Method and apparatus for monitoring and awakening fatigue doze
CN102133100A (en) * 2011-03-04 2011-07-27 上海交通大学 Sparse representation-based electroencephalogram signal detection method
CN102274032A (en) * 2011-05-10 2011-12-14 北京师范大学 Driver fatigue detection system based on electroencephalographic (EEG) signals
CN103111020A (en) * 2013-02-04 2013-05-22 东北大学 System and method for detecting and relieving driving fatigue based on electrical acupoint stimulation
CN203988088U (en) * 2014-04-24 2014-12-10 闽南师范大学 A kind ofly with brain wave, extract the blink device of number of times of eyes
CN105212924A (en) * 2015-10-10 2016-01-06 安徽尚舟电子科技有限公司 A kind of based on brain wave method for detecting fatigue driving and device thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110334592A (en) * 2019-05-27 2019-10-15 天津科技大学 A driver abnormal behavior monitoring and safety assurance system and method thereof
CN112806996A (en) * 2021-01-12 2021-05-18 哈尔滨工业大学 Driver distraction multi-channel assessment method and system under L3-level automatic driving condition

Similar Documents

Publication Publication Date Title
CN104146722B (en) Driving fatigue detecting and grading early warning method based on head signals
CN101976495B (en) Fatigue driving detection system and method
CN105595996B (en) A kind of fatigue driving eeg monitoring method of electricity and brain electricity comprehensive judgement
CN106236046A (en) Driver fatigue monitoring system
CN110720901A (en) Method for monitoring emotion and health condition of operating personnel and safety helmet
CN105869356A (en) Railway driver work state evaluation intervening system and method
CN207040526U (en) A kind of intelligent ear tag of domestic animal
CN106236047A (en) The control method of driver fatigue monitoring system
CN107595306A (en) A kind of driver fatigue monitor system based on electroencephalogramsignal signal analyzing
CN108877150A (en) A kind of tired driver driving monitoring device based on biological brain electrical chip and tired distinguished number
CN106408876A (en) Fatigue driving monitoring system and monitoring method based on flexible electronic skin
CN109190600A (en) A kind of driver&#39;s monitoring system of view-based access control model sensor
CN107025762A (en) Livewire work personal security prior-warning device and method for early warning
CN205405809U (en) Driver fatigue detection alarm system based on intelligence wrist -watch
CN205264009U (en) Vehicle safety precaution device
CN202923394U (en) Intelligent navigator safe driving system based on Andriod system
CN102402837A (en) Fatigue alarm device
CN106683344A (en) Anti-fatigue driving system and working method thereof
CN202421346U (en) Anti-radiation detection and alarm device
CN210428777U (en) An anti-fatigue driving detection system
CN113012394A (en) Fatigue driving early warning system and method integrating heart rate and steering wheel action characteristics
CN203005247U (en) Safe traveling system based on pulse signals
CN107358785A (en) A kind of bus driver fatigue detection device
CN209842843U (en) Fatigue driving prevention safety system
WO2020035025A1 (en) Oximeter

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20181123

WW01 Invention patent application withdrawn after publication