CN114680892A - Driver fatigue detection method and system - Google Patents

Driver fatigue detection method and system Download PDF

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Publication number
CN114680892A
CN114680892A CN202210336499.8A CN202210336499A CN114680892A CN 114680892 A CN114680892 A CN 114680892A CN 202210336499 A CN202210336499 A CN 202210336499A CN 114680892 A CN114680892 A CN 114680892A
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China
Prior art keywords
fatigue
driving
driver
characteristic data
user
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CN202210336499.8A
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Chinese (zh)
Inventor
徐杜铒
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Huizhou Desay SV Intelligent Transport Technology Research Institute Co Ltd
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Huizhou Desay SV Intelligent Transport Technology Research Institute Co Ltd
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Priority to CN202210336499.8A priority Critical patent/CN114680892A/en
Publication of CN114680892A publication Critical patent/CN114680892A/en
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/20—Workers
    • A61B2503/22—Motor vehicles operators, e.g. drivers, pilots, captains
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14542—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases

Abstract

The invention provides a driver fatigue detection method and a driver fatigue detection system, wherein a camera detection mode, a sensor monitoring mode and a combined monitoring mode are respectively set for carrying out safe driving real-time monitoring, when a user wears intelligent wearing equipment, the intelligent wearing equipment is connected with a vehicle machine, and human body characteristic data and human image characteristic data are monitored at the same time, so that whether fatigue driving occurs in the driving state of the user is found in time, and an alarm is sent out in time, so that safety accidents caused by fatigue driving which occurs due to involuntary or inertial operation under the condition that the user drives for a long time are avoided.

Description

Driver fatigue detection method and system
Technical Field
The invention relates to the technical field of safe driving, in particular to a method and a system for detecting fatigue of a driver.
Background
At present, the number of automobiles is also rapidly increased, and meanwhile, traffic accidents are gradually increased, wherein the traffic accidents caused by fatigue driving account for about 40 percent. Fatigue driving refers to the phenomenon that after a driver drives for a long time continuously, the mental function and the physiological function are disordered, such as blurred vision, slow response, stiff action, soreness and pain in the waist and back, and reduction of driving ability occur, and the fatigue driving becomes an important factor of traffic accidents and seriously threatens the life and property safety of people. Therefore, the fatigue driving state can be quickly, timely and effectively detected, and the early warning signal is sent to the driver, so that the probability of traffic accidents can be effectively reduced.
In the driver fatigue detection, the method is mainly based on a detection method based on facial image features of a driver, such as facial expressions, eye behavior changes, mouth states and the like; the eye features are important features reflecting fatigue states, after a driver enters the fatigue states, the blinking frequency of the driver is reduced, the eye closing time is obviously increased compared with the normal state, the eye opening time is reduced along with the eye opening time, the eye opening degree is also reduced to a certain degree, if the driver enters the deep fatigue states, the serious condition that the eyes of the driver are in a closed state for a long time can occur, so that the facial image features, particularly the eye features, can well reflect the states of the driver, and then, the difference of the faces of the driver is increased, and the method is easily influenced by light, so that the detection result is inaccurate, and the conditions of erroneous judgment and missed judgment are easy to occur.
Disclosure of Invention
Aiming at the technical problems, the invention provides a method and a system for detecting the fatigue of a driver, aiming at solving the technical problems that the detection accuracy of the fatigue detection of the driver is not high and misjudgment is easy to occur in the prior art.
The invention provides a driver fatigue detection method, which comprises the following steps:
s1: a user gets on the bus; judging whether the intelligent wearable equipment is worn or not, and if the intelligent wearable equipment is worn, turning to S2; otherwise, starting a camera detection mode;
s2: judging whether the camera is authorized to record, if so, starting a joint monitoring mode; otherwise, the sensor monitoring mode is started.
Preferably, the joint monitoring mode is a mode in which monitoring results of the camera detection mode and the sensor monitoring mode are fused.
The camera detection mode includes: the condition in the cockpit is monitored through the camera terminal, the captured video image is stored in an image database, and human image characteristic data are analyzed through the image in the image database.
The portrait characteristic data at least comprises a face image, pupil image data and a behavior video.
And judging whether fatigue driving is performed or not according to the analysis result of the portrait characteristic data, if so, sending fatigue alarm to the user through a vehicle-mounted central control system, and if not, continuing driving.
The sensor monitoring mode comprising: when a user wears the intelligent wearable device to get on the bus, the intelligent wearable device is automatically or manually connected with the car machine and starts to monitor human body characteristic data in real time, whether fatigue driving is performed or not is judged according to fatigue driving reminding function configuration parameters, if yes, fatigue alarming is sent to the user through the vehicle-mounted central control system, and if not, driving is continued.
The human characteristic data at least comprises blood pressure, heart rate and blood oxygen indexes.
The intelligent wearable device communicates with the vehicle-mounted device through a Bluetooth protocol.
The fusion process includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are fatigue driving, a fatigue alarm is sent to a user through a vehicle-mounted central control system;
if the monitoring results of the camera detection mode and the sensor monitoring mode are not fatigue driving, the current situation is kept, monitoring is continued, driving time is calculated in an accumulated mode, and when the driving time reaches the fatigue reminding time preset by the user, fatigue alarm is sent to the user actively through the vehicle-mounted central control system.
The fusion process further includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are not consistent, comparing the portrait characteristic data with the human body characteristic data respectively, judging whether the characteristic difference value between any two data is within a preset range, if so, judging that the data source is abnormal, and prompting a user to perform data initialization processing; if not, the data is judged to have mutation, and abnormal data elimination processing is required.
As another preferable aspect, the present invention also provides a driver fatigue detection system including at least:
the acquisition module is used for acquiring portrait characteristic data and human body characteristic data of a driver in a preset time period;
the first fatigue determining module is used for judging whether fatigue driving is performed according to the analysis result of the portrait characteristic data of the driver;
the second fatigue determining module is used for judging whether fatigue driving exists according to the analysis result of the human body characteristic data;
the third fatigue determining module is used for judging whether fatigue driving exists or not according to the human image characteristic data and the human body characteristic data combined analysis result;
and the fatigue driving determining module is used for determining the current state of the driver according to the first fatigue determining module, the second fatigue determining module or the third fatigue determining module, if the current state is fatigue driving, a fatigue alarm is sent to the user through the vehicle-mounted central control system, and if the current state is not fatigue driving, the driver continues to drive.
In summary, the present invention provides a method and a system for detecting fatigue of a driver, wherein a camera detection mode, a sensor monitoring mode and a joint monitoring mode are respectively set for real-time monitoring of safe driving, when a user wears an intelligent wearable device, the intelligent wearable device is connected with a vehicle machine, and human body characteristic data and human image characteristic data are monitored at the same time, so as to find out whether fatigue driving occurs in a driving state of the user in time, and send out an alarm in time, thereby avoiding safety accidents caused by fatigue driving occurring due to involuntary or inertial operation when the user drives for a long time.
Drawings
Fig. 1 is a schematic diagram of a method for detecting fatigue of a driver according to the present invention.
Fig. 2 is a flowchart of the fatigue detection according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a driver fatigue detection method, comprising the steps of:
s1: after a user gets on the vehicle, the intelligent wearable device is connected through built-in application of the vehicle-mounted central control system. Judging whether the intelligent wearable equipment is worn, and if the intelligent wearable equipment is worn, turning to S2; otherwise, starting a camera detection mode;
s2: judging whether the camera is authorized to record, if so, starting a joint monitoring mode; otherwise, the sensor monitoring mode is started.
Preferably, the joint monitoring mode is a mode in which monitoring results of the camera detection mode and the sensor monitoring mode are fused.
The camera detection mode includes: the condition in the cockpit is monitored through the camera terminal, the captured video image is stored in the image database, and the image characteristic data of the image in the image database is analyzed.
The portrait characteristic data at least comprises a face image, pupil image data and a behavior video.
And judging whether the vehicle is in fatigue driving according to the analysis result of the portrait characteristic data, if so, sending a fatigue alarm to the user through a vehicle-mounted central control system, and if not, continuing driving.
In the driving process of the user, whether fatigue driving exists is judged by comparing the face image, the pupil image data and the behavior video under the normal condition with the data collected in real time. Since the head of the driver is prone to intermittent head lowering in the fatigue state of the driver, in this embodiment, the head changing condition may be optionally obtained through the face image, and the head lowering frequency of the driver in the predetermined time is determined. And determining whether the driver is in a fatigue state according to the head lowering times.
In addition, the eye characteristics are important characteristics reflecting the fatigue state, and after the driver enters the fatigue state, the blinking frequency of the driver is reduced, the eye closing time is obviously increased compared with the normal state, the eye opening time is reduced, the eye opening degree is also reduced to a certain degree, and if the driver enters the deep fatigue state, the serious condition that the eyes of the driver are in the closed state for a long time may occur. The state of the driver can be well reflected by recognizing the pupil condition of the driver.
The sensor monitoring mode comprising: when a user wears the intelligent wearable device to get on the bus, the intelligent wearable device is automatically or manually connected with the car machine and starts to monitor human body characteristic data in real time, whether fatigue driving is performed or not is judged according to fatigue driving reminding function configuration parameters, if yes, fatigue alarming is sent to the user through the vehicle-mounted central control system, and if not, driving is continued.
The human characteristic data at least comprises blood pressure, heart rate and blood oxygen indexes.
The intelligent wearable device communicates with the vehicle-mounted device through a Bluetooth protocol. The smart wearable device is preferably a smart headband, but is not limited thereto.
The fusion process includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are fatigue driving, a fatigue alarm is sent to a user through a vehicle-mounted central control system;
if the monitoring results of the camera detection mode and the sensor monitoring mode are not fatigue driving, the current situation is kept, monitoring is continued, driving time is calculated in an accumulated mode, and when the driving time reaches the fatigue reminding time preset by the user, fatigue alarm is sent to the user actively through the vehicle-mounted central control system.
The fusion process further includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are not consistent, comparing the portrait characteristic data with the human body characteristic data respectively, judging whether the characteristic difference value between any two data is within a preset range, if so, judging that the data source is abnormal, and prompting a user to perform data initialization processing; if not, the data is judged to have mutation, and abnormal data elimination processing is required.
As another preferable aspect, the present invention also provides a driver fatigue detection system including at least:
the acquisition module is used for acquiring portrait characteristic data and human body characteristic data of a driver in a preset time period;
the first fatigue determining module is used for judging whether fatigue driving is performed according to the analysis result of the portrait characteristic data of the driver;
the second fatigue determining module is used for judging whether fatigue driving exists according to the analysis result of the human body characteristic data;
the third fatigue determining module is used for judging whether fatigue driving exists or not according to the human image characteristic data and the human body characteristic data combined analysis result;
and the fatigue driving determining module is used for determining the current state of the driver according to the first fatigue determining module, the second fatigue determining module or the third fatigue determining module, if the current state is fatigue driving, a fatigue alarm is sent to the user through the vehicle-mounted central control system, and if the current state is not fatigue driving, the driver continues to drive.
In the preferred embodiment of the present application, the method for detecting fatigue of a driver is to implement real-time monitoring of fatigue driving through combined monitoring of a vehicle end and a wearable device, and to implement the method of the present invention, the corresponding system of the present invention preferably further includes a processor, a memory, an input device, and an output device.
The processor, the memory, the input device and the output device are coupled through a connector, which includes various interfaces, transmission lines or buses, etc., and the embodiment of the present application is not limited thereto. It should be appreciated that in various embodiments of the present application, coupled refers to being interconnected in a particular manner, including being directly connected or indirectly connected through other devices, such as through various interfaces, transmission lines, buses, and the like.
The processor may be one or more Graphics Processing Units (GPUs), and in the case of one GPU, the GPU may be a single-core GPU or a multi-core GPU. Alternatively, the processor may be a processor group consisting of a plurality of GPUs, and the plurality of processors are coupled to each other through one or more buses. Alternatively, the processor may be other types of processors, and the like, and the embodiments of the present application are not limited.
The memory can be used to store computer program instructions and various types of computer program code for executing the program code of aspects of the present application. Alternatively, the memory includes, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable Read Only Memory (EPROM), or portable read only memory (CD ROM), which is used for related instructions and data.
The input means are for inputting data and/or signals and the output means are for outputting data and/or signals. The input device and the output device may be separate devices or may be an integral device.
It is understood that, in the embodiment of the present application, the memory may be used to store not only the relevant instructions, but also relevant data, for example, the memory may be used to store data acquired through the input device, or the memory may be used to store comparison results obtained through the processor, and the like, and the embodiment of the present application is not limited to the data specifically stored in the memory.
It is understood that in practical applications, the driver fatigue detection device may also include other necessary elements, including but not limited to any number of input/output devices, processors, memories, etc., respectively, and all driver fatigue detection devices that may implement the embodiments of the present application are within the scope of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It is also clear to those skilled in the art that the descriptions of the various embodiments of the present application have different emphasis, and for convenience and brevity of description, the same or similar parts may not be repeated in different embodiments, so that the parts that are not described or not described in detail in a certain embodiment may refer to the descriptions of other embodiments.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A driver fatigue detection method, characterized by comprising the steps of:
s1: a user gets on the bus; judging whether the intelligent wearable equipment is worn or not, and if the intelligent wearable equipment is worn, turning to S2; otherwise, starting a camera detection mode;
s2: judging whether the camera is authorized to record, if so, starting a joint monitoring mode; otherwise, the sensor monitoring mode is started.
2. The method as claimed in claim 1, wherein the joint monitoring mode is a process of fusing monitoring results of the camera detection mode and the sensor monitoring mode.
3. The method of claim 2, wherein the camera detection mode comprises: monitoring the situation in a cockpit through a camera terminal, storing a captured video image into an image database, and analyzing portrait feature data of the image in the image database;
the portrait characteristic data at least comprises a face image, pupil image data and a behavior video.
4. The method as claimed in claim 3, wherein whether to drive fatigue is determined according to the analysis result of the portrait characteristic data, if so, a fatigue alarm is given to the user through an on-vehicle central control system, and if not, driving is continued.
5. A driver fatigue detection method as claimed in claim 2, wherein said sensor monitoring mode comprises: when a user wears the intelligent wearable device to get on the bus, the intelligent wearable device is automatically or manually connected with the car machine and starts to monitor human body characteristic data in real time, whether fatigue driving is performed or not is judged according to fatigue driving reminding function configuration parameters, if yes, fatigue alarming is sent to the user through the vehicle-mounted central control system, and if not, driving is continued.
6. The method as claimed in claim 5, wherein the human characteristic data at least comprises blood pressure, heart rate and blood oxygen index.
7. The method for detecting the fatigue of the driver as claimed in claim 6, wherein the smart wearable device communicates with the vehicle-mounted device via a Bluetooth protocol.
8. The driver fatigue detection method according to claim 2, wherein the fusion process includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are fatigue driving, a fatigue alarm is sent to a user through a vehicle-mounted central control system;
if the monitoring results of the camera detection mode and the sensor monitoring mode are not fatigue driving, the current situation is kept, monitoring is continued, driving time is calculated in an accumulated mode, and when the driving time reaches the fatigue reminding time preset by the user, fatigue alarm is sent to the user actively through the vehicle-mounted central control system.
9. The driver fatigue detection method according to claim 8, wherein the fusion process further includes:
if the monitoring results of the camera detection mode and the sensor monitoring mode are not consistent, comparing the portrait characteristic data with the human body characteristic data respectively, judging whether the characteristic difference value between any two data is within a preset range, if so, judging that the data source is abnormal, and prompting a user to perform data initialization processing; if not, the data is judged to have mutation, and abnormal data elimination processing is required.
10. A driver fatigue detection system, characterized by comprising at least:
the acquisition module is used for acquiring portrait characteristic data and human body characteristic data of a driver in a preset time period;
the first fatigue determining module is used for judging whether fatigue driving is performed according to the analysis result of the portrait characteristic data of the driver;
the second fatigue determining module is used for judging whether fatigue driving exists according to the analysis result of the human body characteristic data;
the third fatigue determining module is used for judging whether fatigue driving exists or not according to the human image characteristic data and the human body characteristic data combined analysis result;
and the fatigue driving determining module is used for determining the current state of the driver according to the first fatigue determining module, the second fatigue determining module or the third fatigue determining module, if the current state is fatigue driving, a fatigue alarm is sent to the user through the vehicle-mounted central control system, and if the current state is not fatigue driving, the driver continues to drive.
CN202210336499.8A 2022-04-01 2022-04-01 Driver fatigue detection method and system Pending CN114680892A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210336499.8A CN114680892A (en) 2022-04-01 2022-04-01 Driver fatigue detection method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210336499.8A CN114680892A (en) 2022-04-01 2022-04-01 Driver fatigue detection method and system

Publications (1)

Publication Number Publication Date
CN114680892A true CN114680892A (en) 2022-07-01

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Country Status (1)

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