CN109435958A - Using the anti-fatigue-driving method of biological identification technology - Google Patents

Using the anti-fatigue-driving method of biological identification technology Download PDF

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Publication number
CN109435958A
CN109435958A CN201811216687.7A CN201811216687A CN109435958A CN 109435958 A CN109435958 A CN 109435958A CN 201811216687 A CN201811216687 A CN 201811216687A CN 109435958 A CN109435958 A CN 109435958A
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CN
China
Prior art keywords
driver
module
fatigue
driving
recognition system
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Pending
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CN201811216687.7A
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Chinese (zh)
Inventor
刘善斌
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Bazhongmen Network Technology Co Ltd
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Bazhongmen Network Technology Co Ltd
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Priority to CN201811216687.7A priority Critical patent/CN109435958A/en
Publication of CN109435958A publication Critical patent/CN109435958A/en
Pending legal-status Critical Current

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
    • B60W40/105—Speed
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W2040/0818—Inactivity or incapacity of driver
    • B60W2040/0827—Inactivity or incapacity of driver due to sleepiness

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Traffic Control Systems (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Auxiliary Drives, Propulsion Controls, And Safety Devices (AREA)

Abstract

The invention discloses the anti-fatigue-driving method using biological identification technology, this programme is realized by following steps: the driving habit database of driver and corresponding driver A, are established in biological recognition system；B, when system starts, biological recognition system identifies driver identity, judges the driver whether driver belongs in database, belongs to the driver in database, enters step C, otherwise enter step E；C, biological recognition system carries out eyeball tracking to driver, and the driving habit of the eyeball state of driver and driver in database is compared, the degree of fatigue of driver is judged, D is entered step if driver fatigue；D, running module issues prompt tone, reminds driver；E, biological recognition system carries out eyeball tracking to driver in the process of moving, and running module records the driving habit of driver, establishes the driving habit database of driver and corresponding driver after the two is matched in biological recognition system.

Description

Using the anti-fatigue-driving method of biological identification technology
Technical field
The present invention relates to traffic and transport fields, in particular to use the anti-fatigue-driving method of biological identification technology.
Background technique
Driving fatigue refers to that driver after continuous driving for a long time, generates the imbalance of physiological function and mental function, and Objectively there is the phenomenon that driving efficiency decline.Driver's poor sleeping quality or deficiency, long-duration driving vehicle, are easy to appear Fatigue.Driving fatigue influences whether all sides such as attention, feeling, consciousness, thinking, judgement, will, decision and movement of driver Face.It is various for causing the factor of fatigue driving.The fatigue of driver is mainly nerve and sensory fatigue, Yi Jiyin It is kept fixed posture, the fatigue of limbs caused by poor blood circulation for a long time.Driver is sitting on fixed seat for a long time, Movement is subject to certain restrictions, attention high concentration, is busy with judging vehicle external stimulus information, state of mind high-pressure, to go out Eyeball of losing face is obscured, is had a pain in the back, is slow in reacting, driving the driving fatigues phenomenon such as not flexible.The sequence for forming fatigue is: eyes, The fatigue of neck, shoulder, waist, mainly eyes and body also it is large-brained fatigue this be also very important aspect.
Existing fatigue-driving detection technology maturity is lower, can not carry out fatigue driving judgement by big data, accurately It spends lower.
Summary of the invention
It is an object of the invention to: the anti-fatigue-driving method using biological identification technology is provided, is solved existing Fatigue-driving detection technology maturity is lower, can not carry out fatigue driving judgement, the lower problem of accuracy by big data.
The technical solution adopted by the invention is as follows:
Including running module and using the biological recognition system of eyeball tracking and identity recognizing technology, it is characterised in that: packet Include following steps:
A, the driving habit database of driver and corresponding driver are established in biological recognition system；
B, when system starts, biological recognition system identifies driver identity, judges whether driver belongs in database Driver belongs to the driver in database, enters step C, otherwise enters step E；
C, biological recognition system carries out eyeball tracking to driver, by driver in the eyeball state of driver and database Driving habit compare, judge the degree of fatigue of driver, D entered step if driver fatigue, otherwise certain time Step C is repeated after delay；
D, running module issues prompt tone, reminds driver；
E, biological recognition system carries out eyeball tracking to driver in the process of moving, and running module record driver's drives Habit is sailed, establishes the driving habit database of driver and corresponding driver after the two is matched in biological recognition system.
It further, further include step F: within a certain period of time, if running module issues multiple prompt tone, running module Vehicle is controlled to stop to roadside.
Further, the running module includes the vehicle driving module connected on processor and processor, automatic Pilot Module and warning note module；
Processor: the eyeball feature that eyeball tracking module is sent is received；Alarm signal is sent to alarm module；Receive vehicle Travel the vehicle operation data that module is sent；Send control signals to automatic Pilot module；
Vehicle driving module: detection vehicle running state is sent to processor as running data；
Automatic Pilot module: receiving the control signal that processor is sent, and controls vehicle driving according to control signal；
Alarm module: the alarm signal that processor is sent is received, is acted according to alarm signal.
Further, auxiliary monitoring module is also connected on the processor.
Further, the auxiliary monitoring module includes seat sensor and direction sensor.
Further, the vehicle driving module includes acceleration transducer and angular transducer.
Further, communication module is also connected on the processor.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1. the present invention uses the anti-fatigue-driving method of biological identification technology, multiple means monitor driver status, reliably Property it is high
2. the present invention uses the anti-fatigue-driving method of biological identification technology, existing fatigue-driving detection technology maturity It is lower, fatigue driving judgement can not be carried out by big data, accuracy is lower.
Specific embodiment
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive Feature and/or step other than, can combine in any way.
Embodiment 1
Using the anti-fatigue-driving method of biological identification technology, including running module and use eyeball tracking and identification The biological recognition system of technology, it is characterised in that: the following steps are included:
A, the driving habit database of driver and corresponding driver are established in biological recognition system；
B, when system starts, biological recognition system identifies driver identity, judges whether driver belongs in database Driver belongs to the driver in database, enters step C, otherwise enters step E；
C, biological recognition system carries out eyeball tracking to driver, by driver in the eyeball state of driver and database Driving habit compare, judge the degree of fatigue of driver, D entered step if driver fatigue, otherwise certain time Step C is repeated after delay；
D, running module issues prompt tone, reminds driver；
E, biological recognition system carries out eyeball tracking to driver in the process of moving, and running module record driver's drives Habit is sailed, establishes the driving habit database of driver and corresponding driver after the two is matched in biological recognition system.
It further, further include step F: within a certain period of time, if running module issues multiple prompt tone, running module Vehicle is controlled to stop to roadside.
Further, the running module includes the vehicle driving module connected on processor and processor, automatic Pilot Module and warning note module；
Processor: the eyeball feature that eyeball tracking module is sent is received；Alarm signal is sent to alarm module；Receive vehicle Travel the vehicle operation data that module is sent；Send control signals to automatic Pilot module；
Vehicle driving module: detection vehicle running state is sent to processor as running data；
Automatic Pilot module: receiving the control signal that processor is sent, and controls vehicle driving according to control signal；
Alarm module: the alarm signal that processor is sent is received, is acted according to alarm signal.
Further, auxiliary monitoring module is also connected on the processor.
Further, the auxiliary monitoring module includes seat sensor and direction sensor.
Further, the vehicle driving module includes acceleration transducer and angular transducer.
Further, communication module is also connected on the processor.
The above, only the preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, it is any Those skilled in the art within the technical scope disclosed by the invention, can without the variation that creative work is expected or Replacement, should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be limited with claims Subject to fixed protection scope.

Claims (7)

1. the anti-fatigue-driving method of use biological identification technology, including running module and use eyeball tracking and identification skill The biological recognition system of art, it is characterised in that: the following steps are included:
A, the driving habit database of driver and corresponding driver are established in biological recognition system；
B, when system starts, biological recognition system identifies driver identity, judges the driving whether driver belongs in database Member, belongs to the driver in database, enters step C, otherwise enter step E；
C, biological recognition system carries out eyeball tracking to driver, and the eyeball state of driver and driver in database are driven It sails habit to compare, judges the degree of fatigue of driver, D is entered step if driver fatigue, otherwise certain time postpones Step C is repeated afterwards；
D, running module issues prompt tone, reminds driver；
E, biological recognition system carries out eyeball tracking to driver in the process of moving, and the driving that running module records driver is practised It is used, the driving habit database of driver and corresponding driver are established after the two is matched in biological recognition system.
2. the anti-fatigue-driving method according to claim 1 using biological identification technology, it is characterised in that: further include step Rapid F: within a certain period of time, if running module issues multiple prompt tone, running module controls vehicle and stops to roadside.
3. the anti-fatigue-driving method according to claim 2 using biological identification technology, it is characterised in that: the driving Module includes the vehicle driving module, automatic Pilot module and warning note module connected on processor and processor；
Processor: the eyeball feature that eyeball tracking module is sent is received；Alarm signal is sent to alarm module；Receive vehicle driving The vehicle operation data that module is sent；Send control signals to automatic Pilot module；
Vehicle driving module: detection vehicle running state is sent to processor as running data；
Automatic Pilot module: receiving the control signal that processor is sent, and controls vehicle driving according to control signal；
Alarm module: the alarm signal that processor is sent is received, is acted according to alarm signal.
4. the anti-fatigue-driving method according to claim 3 using biological identification technology, it is characterised in that: the processing Auxiliary monitoring module is also connected on device.
5. the anti-fatigue-driving method according to claim 4 using biological identification technology, it is characterised in that: the auxiliary Monitoring modular includes seat sensor and direction sensor.
6. the anti-fatigue-driving method according to claim 3 using biological identification technology, it is characterised in that: described Vehicle driving module includes acceleration transducer and angular transducer.
7. the anti-fatigue-driving method according to claim 3 using biological identification technology, it is characterised in that: described Communication module is also connected on processor.
CN201811216687.7A 2018-10-18 2018-10-18 Using the anti-fatigue-driving method of biological identification technology Pending CN109435958A (en)

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CN201811216687.7A CN109435958A (en) 2018-10-18 2018-10-18 Using the anti-fatigue-driving method of biological identification technology

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111559382A (en) * 2020-05-09 2020-08-21 Oppo广东移动通信有限公司 Vehicle running control method and device
CN112396805A (en) * 2019-07-31 2021-02-23 Oppo广东移动通信有限公司 Fatigue driving reminding method, device, terminal and storage medium
CN113619588A (en) * 2020-05-09 2021-11-09 北京地平线机器人技术研发有限公司 Driving behavior reminding method and device, storage medium and electronic equipment

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112396805A (en) * 2019-07-31 2021-02-23 Oppo广东移动通信有限公司 Fatigue driving reminding method, device, terminal and storage medium
CN112396805B (en) * 2019-07-31 2022-10-25 Oppo广东移动通信有限公司 Fatigue driving reminding method, device, terminal and storage medium
CN111559382A (en) * 2020-05-09 2020-08-21 Oppo广东移动通信有限公司 Vehicle running control method and device
CN111559382B (en) * 2020-05-09 2021-11-02 Oppo广东移动通信有限公司 Vehicle running control method and device
CN113619588A (en) * 2020-05-09 2021-11-09 北京地平线机器人技术研发有限公司 Driving behavior reminding method and device, storage medium and electronic equipment

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Application publication date: 20190308

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