CN114283559B - Driver fatigue early warning method, device, equipment and storage medium - Google Patents
Driver fatigue early warning method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention provides a driver fatigue early warning method, a device, equipment and a storage medium, and relates to the technical field of fatigue driving early warning. And then obtaining an updated fourth parameter according to the state grade value of each sub-segment, wherein the updated fourth parameter is reflected in the adjacent sub-segments, the state grade value is continuously larger than the accumulated number of the fatigue experience constant values, and the KSS fatigue grade of the driver in different time intervals in the driving process of the whole current road section can be obtained according to the updated fourth parameter and the preset KSS subjective fatigue grade standard.
Description
Technical Field
The invention relates to the technical field of fatigue driving early warning, in particular to a driver fatigue early warning method, device, equipment and storage medium.
Background
Fatigue is a phenomenon in which the psychological and physiological activities of a human exceed certain limits, resulting in the decline of the functions of the whole body. Due to the reasons of long working time, monotonous working environment, high requirement on working concentration and the like, the fatigue phenomenon often occurs in the process of driving a locomotive by a high-speed rail driver, and the railway transportation safety is seriously influenced. The current research on methods for relieving fatigue of drivers in high-speed railways mainly comprises the following steps: the music intervention mechanism is added in the driving process of a driver, so that the fatigue of the driver in the high-speed rail is relieved. And secondly, setting a caution, requiring a driver to finish corresponding operation within a fixed time when the driver of the high-speed rail drives the locomotive, and reducing the monotonicity of driving work under the condition of not influencing safe driving. And thirdly, detecting and reminding, namely detecting the fatigue state based on the physiological signals and reminding a high-speed rail driver through voice prompt, vibration and the like.
Some of the technical methods are already applied to the field of railway transportation safety, but for a music intervention mechanism, indexes such as intervention music type and volume do not have clear standards yet, the indexes are to be further researched, and the universality is low; for the arrangement of the alert method, the work monotony can be reduced, but the requirement on subjective control and fatigue resistance of a driver is higher; for the detection reminding method, the anti-fatigue effectiveness is reminded to be improved, and the required equipment is not simple.
Disclosure of Invention
The invention aims to provide a driver fatigue early warning method, a driver fatigue early warning device, driver fatigue early warning equipment and a storage medium, so as to solve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a driver fatigue warning method, including:
acquiring a first parameter, a second parameter and a third parameter, wherein the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is a time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from the actual case.
And obtaining a state grade value of each sub-segment according to the first parameter and each sub-segment, wherein the state grade value is a parameter obtained by performing mean calculation on the first parameter in each sub-segment.
Judging whether the state grade value is larger than the third parameter, if so, marking the current sub-segment as a first label; if not, marking the current sub-segment as a second label.
And judging whether the sub-segments are marked as first labels or not, if so, obtaining an updated fourth parameter, wherein the updated fourth parameter is an accumulated number value obtained by accumulating and adding one operation to the current fourth parameter, and the initial value of the fourth parameter is 0.
And if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver.
In a second aspect, the present application further provides a driver fatigue warning device, including a first obtaining module, a first calculating module, a first determining module and a second determining module, wherein:
a first obtaining module: the system comprises a time segment set and a control module, wherein the time segment set is used for acquiring a first parameter, a second parameter and a third parameter, the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is the time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from the actual case.
A first calculation module: and the state grade value is a parameter obtained by performing mean calculation on the first parameter in each sub-segment.
A first judgment module: the second label is used for judging whether the state grade value is larger than the third parameter or not, and if so, marking the current sub-segment as a first label; if not, marking the current sub-segment as a second label.
A second judging module: the device comprises a first module, a second module and a third module, wherein the first module is used for judging whether the sub-segments are marked as first labels or not, if yes, an updated fourth parameter is obtained, the updated fourth parameter is a cumulative number value obtained by performing cumulative addition operation on the current fourth parameter, and the initial value of the fourth parameter is 0; and if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver.
In a third aspect, the present application further provides a driver fatigue warning device, including:
a memory for storing a computer program; and the processor is used for realizing the steps of the driver fatigue early warning method when the computer program is executed.
In a fourth aspect, the present application further provides a storage medium, where a computer program is stored on the storage medium, and the computer program, when executed by a processor, implements the steps of the driver fatigue warning method.
The invention has the beneficial effects that:
in the first aspect, the invention takes the mean value of the percentage parameters of eye closure in all unit time in the sub-segment as the state grade value of the sub-segment, can reflect the centralized trend of the distribution of the whole state grade value of the sub-segment, and is convenient for intuitively and simply observing the change condition of the transition state from alertness to fatigue of a driver. And then obtaining an updated fourth parameter according to the state grade value of each sub-segment, wherein the updated fourth parameter is reflected in the adjacent sub-segments, the state grade value is continuously larger than the accumulated number of the fatigue experience constant values, and the KSS fatigue grade of the driver in different time intervals in the driving process of the whole current road section can be obtained according to the updated fourth parameter and the preset KSS subjective fatigue grade standard.
On the other hand, according to the KSS fatigue grade result, when the KSS fatigue grade of the driver is greater than 6, the state grade value and the tolerant current strength value are combined to judge whether the current state of the driver needs to activate the electric stimulation signal, and after the electric stimulation signal is activated, the two acupuncture points of the Hegu acupuncture point and the Laogong acupuncture point of the driver are stimulated to stimulate the driver of the high-speed rail, so that the driver can resist mental fatigue, the concentration degree of the driver is improved, and the safety of railway transportation is ensured.
The driver fatigue early warning method can adaptively adjust the condition for activating the electrical stimulation signal according to different drivers, and has the advantages of wider applicability, simple required equipment, higher universality and less interference caused by the influence of working environment. Moreover, the flexibility of the operation of the driver is not influenced, the body of the driver is not damaged, and the warning effect is obvious.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a driver fatigue warning method in an embodiment of the invention;
FIG. 2 is a block diagram of a driver fatigue warning device according to an embodiment of the present invention;
fig. 3 is a block diagram of a driver fatigue warning apparatus in an embodiment of the present invention.
The labels in the figure are: 700-driver fatigue warning device; 701-a first obtaining module; 7011-a first acquisition subunit; 7012-an update request unit; 7013-a second acquisition subunit; 7014-a first sub-processing unit; 7015-a second sub-processing unit; 702-a first computing module; 703-a first judgment module; 704-a second judging module; 705-a second obtaining module; 7051-fifth acquisition subunit; 7052-sixth sub-processing unit; 7053-sorting unit; 7054-seventh sub-processing unit; 7055-eighth sub-processing unit; 706-a second calculation module; 707-a third calculation module; 708-a third judgment module; 7081-a third acquisition subunit; 7082-a third sub-processing unit; 7083-a fourth sub-processing unit; 70831-fourth acquisition subunit; 70832-a fifth sub-processing unit; 70833-parameter update unit; 800-driver fatigue warning equipment; 801-a processor; 802-a memory; 803-multimedia components; 804 — an I/O interface; 805-communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
referring to fig. 1, fig. 1 is a block flow diagram illustrating a driver fatigue warning method in this embodiment. The embodiment provides a driver fatigue early warning method, which comprises a step S100, a step S200, a step S300 and a step S400.
S100, acquiring a first parameter, a second parameter and a third parameter, wherein the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is a time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from the actual case.
It is understood that, in this step, the calculation method of the wearable eye tracker that collects the percentage parameter of eye closure per unit time of the high-speed rail driver in real time as the first parameter and the percentage parameter of eye closure per unit time is realized by referring to the eye opening PERCLOS algorithm, in this embodiment, the P70 standard (i.e. the area of the eyelid covering the pupil at least exceeds 70% is counted as eye closure) is adopted, and in other embodiments, the P80 standard or the EM standard may be executed according to specific situations. And the second parameter obtains the total time required by the current road section through a global navigation satellite system, then divides the total time into sub-segments with equal interval time, sets the total time to be 60 minutes, divides the total time into 30 sub-segments according to the time interval of 2 minutes, and forms a time segment set by the 30 time sub-segments. The driver compares the current driving state according to the KSS subjective fatigue level standard, collects corresponding PERCLOS values of the driver at the 6-level KSS fatigue level through an eye tracker, then counts the PERCLOS values of at least 10 drivers, finds a lower limit value with the maximum PERCLOS value repetition range frequency, wherein the lower limit value is a third parameter, and the third parameter is 0.8 through a large amount of test data.
It should be noted that the preset KSS subjective fatigue level criteria in this embodiment include 9 levels, and the specific grading conditions are as follows: 1-extreme alertness; 2-very alert; 3-alertness; 4-general alertness; 5-less alert but also sleepless; 6-there is some tendency to sleepiness; 7-sleepy but without much effort to stay awake; 8-sleepy and requires some effort to stay awake; 9-very drowsy requires great effort to stay awake.
Step S100 includes step S101, step S102, step S103, step S104, and step S105, where:
step S101, obtaining a first input operation, a first parameter and a sub-segment of a driver, wherein the first input operation is a first KSS fatigue level input by the driver before driving.
It can be understood that, in this step, according to the above criteria of the preset KSS subjective fatigue level, the driver obtains the first KSS fatigue level according to the current physical condition of the driver before driving, and the driver can input the first KSS fatigue level into the driver fatigue warning system by means of voice, keyboard, and the like. Meanwhile, the global navigation satellite system transmits the total time required by the current road section to the data analysis system, and the driver fatigue early warning system divides the total time into sub-segments with equal interval time. Meanwhile, the driver fatigue early warning system also receives a first parameter uploaded by the eye tracker.
And step S102, regularly generating state level updating request information according to the sub-segments, wherein the state level updating request information reflects the updating state information of the driver, and the updating state information is the second input operation of the driver.
It can be understood that, in this step, according to the time interval of the sub-segment, the driver fatigue warning system sends the state level update request information to the user terminal, the state level update request information reminds the driver through voice broadcast inquiry or intermittent buzzing and other manners, and according to whether the current body state of the driver needs to enter the next KSS fatigue level, when the driver needs to enter the next KSS fatigue level, the driver responds to the update state information of the driver through a second input operation, which may be voice input or key input.
And step S103, responding to the state grade updating request information, and acquiring a second input operation of the driver.
And step S104, obtaining a second KSS fatigue level according to the second input operation, wherein the second KSS fatigue level is a level value obtained by accumulating and adding one to the first KSS fatigue level.
It can be understood that, in this step, every time the driver fatigue warning system receives a second input operation from the user terminal, the first KSS fatigue level is accumulated and added by one, and the current KSS fatigue level of the driver is recorded.
And S105, judging whether the KSS fatigue level is 6, if so, obtaining the state grade value of the driver at the KSS fatigue level of 6 according to the first parameter and the sub-segments.
It can be understood that, in this step, when the KSS fatigue level is 6, the driver fatigue early warning system receives the first parameter sent by the eye tracker, and calculates the mean value of all the first parameters in the sub-segment according to the time interval of the sub-segment, that is, the state level value of the current driver at the KSS fatigue level of 6 can be obtained. In order to eliminate the influence of individual difference on the final value error, according to the method from the step S101 to the step S105, at least 10 different drivers are selected to collect related data, the numerical range of the collected 10 state grade values is divided according to the accuracy of 0.1, and the lower limit value is taken where the repeat range frequency of the state grade values is the most, and the obtained lower limit value is the third parameter.
Step S200, obtaining a state grade value of each sub-segment according to the first parameter and each sub-segment, wherein the state grade value is a parameter obtained by performing average calculation on the first parameter in each sub-segment.
It can be understood that, in this step, the driver fatigue warning system calculates an average value of all the first parameters in the sub-segment within the time interval of 2 minutes according to the first parameters collected by the eye tracker, and represents the state grade value of the sub-segment with the average value, so as to reflect the centralized trend of the distribution of the state grade values of the whole sub-segment, thereby facilitating the visual and concise observation of the change situation of the driver state.
Step S300, judging whether the state grade value is larger than a third parameter, if so, marking the current sub-segment as a first label; if not, the current sub-segment is marked as the second label.
It can be understood that, in this step, all sub-segments are classified and labeled, the first label is set to be 1, the second label is set to be 0, whether the state grade value of each sub-segment is greater than the third parameter is judged, and if yes, the sub-segment is labeled as 1; if not, the sub-segment is marked as 0.
Step S400, judging whether the sub-segment is marked as a first label, if so, obtaining an updated fourth parameter, wherein the updated fourth parameter is an accumulated time value obtained by performing accumulated addition operation on the current fourth parameter, and the initial value of the fourth parameter is 0; and if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver.
It can be understood that, in this step, based on the chronological order, all the sub-segments are marked with 1 or 0, the sub-segment marked with 0 is used as a stop point for updating the fourth parameter, the number of the adjacent sub-segments marked with 1 between two adjacent stop points is counted as the updated fourth parameter, and then comparison is performed according to the fourth parameter and the preset KSS subjective fatigue level standard, so as to obtain the current KSS fatigue level of the driver. Assuming that a marked set of sub-segments obtained by the driver within 30 minutes is [011011110111110], taking the sub-segments marked as 0 as a stop point for updating the fourth parameter, respectively outputting 2, 4 and 5 updated fourth parameters, respectively obtaining 6, 7 and 8 KSS fatigue levels of the driver within 30 minutes according to a preset KSS subjective fatigue level standard, and further taking corresponding measures such as immediately stopping driving or giving a rest prompt according to the KSS fatigue level state.
It should be noted that, in this embodiment, the specific relationship between the preset KSS subjective fatigue level criterion and the fourth parameter is as follows: when the KSS fatigue level is less than or equal to 5, a fourth parameter is less than or equal to 1; when the KSS fatigue grade is 6, the fourth parameter is 2; when the KSS fatigue grade is 7, the fourth parameter is 3-4; when the KSS fatigue grade is 8, the fourth parameter is 5; when the KSS fatigue level is 9, the fourth parameter is ≧ 6.
And S500, acquiring a fifth parameter, a third parameter, a state grade value and the KSS fatigue grade of the current driver, wherein the fifth parameter is the current endurance value of the current driver.
In step S500, step S501, step S502, step S503, step S504, and step S505 are further included, in which:
step S501, obtaining identity information of a driver and preset output position parameters of a plurality of electrical stimulation signals, wherein the preset output position parameters are three-dimensional parameters of output electrodes arranged on a human body.
It can be understood that, in this step, the driver fatigue early warning system receives the identity information of the driver and preset output position parameters, which are sent by the user terminal, where the identity information at least includes information for distinguishing personal identities, such as name, gender, and native place, and the preset output position parameters are position parameters of body parts, including parts such as wrists, ankles, acupuncture points, and the like.
Step S502, obtaining stimulation output sets based on each preset output position parameter, wherein each stimulation output set comprises a current intensity value and a subjective sensitivity value corresponding to the preset output position parameter, and the subjective sensitivity value is a subjective perception value obtained by sensing an electrical stimulation signal.
It can be understood that, in this step, electrodes are arranged at different positions of the body part of the driver, the output current intensity values of the electrodes are made to be consistent, the driver scores the perception of the electrical stimulation signals of different body parts according to the own feeling to obtain subjective sensitive values, and the current intensity values, the subjective sensitive values and the preset output position parameters form a stimulation output set.
And S503, obtaining an output priority sequence based on the subjective sensitivity value, wherein the output priority sequence is the sequence of stimulation output sets obtained based on the arrangement sequence of the subjective sensitivity value from large to small.
It can be understood that, in this step, according to the magnitude of the subjective sensitivity value of the driver, the stimulation output set with the larger subjective sensitivity value is arranged in front, and after the arrangement is finished, the output priority sequence is obtained. Under the same output current intensity value, the larger the subjective sensitivity value is, the larger the sensitivity of the body part to the electric stimulation signals is, in the application of utilizing the electric stimulation signals to act on a human body to warn a driver to drive fatigue, the driver can be helped to reasonably select the electrode arrangement position according to the difference of the driver, the same warning effect can be achieved under the action of the smaller electric stimulation signals, and the personal safety of the driver can be guaranteed while the warning effect is improved.
Step S504, an electrical stimulation intensity set is obtained based on the priority sequence, each electrical stimulation intensity in the electrical stimulation intensity set is a preset output position parameter and a maximum current intensity value corresponding to the preset output position parameter, and the maximum current intensity value is the maximum current intensity which can be borne by a driver without influencing the driving operation of the driver.
It can be understood that, in this step, according to the sequence of the priority sequence, the electrical stimulation signal test is performed on each preset output position parameter, and the magnitude of the output current intensity value of the electrode is changed at the same body part, so as to obtain the maximum current intensity that the driver can bear without affecting the driving operation of the driver. When the current intensity value is 5mA, the driver feels that the operation is not influenced; and when the current is increased to 6mA, the maximum current intensity is selected to be 5mA when the driver feels that the arm feels crisp and slightly influences the driving operation, and the arm and the 5mA form an electrical stimulation intensity. The electrical stimulation intensities of all different parts of the driver form an electrical stimulation intensity set.
And step S505, obtaining a fifth parameter based on the identity information of the driver and all elements in the electrical stimulation intensity set.
It can be understood that, in this step, the fifth parameter is obtained by establishing a one-to-one correspondence relationship between the identity information of the driver and all the elements in the electrical stimulation intensity set. In the practical application process, a driver can select an electric stimulation position suitable for the driver according to personal habits of the driver, and reasonably selects a current intensity value according to the selected electric stimulation position, so that the experience degree of the user is improved.
And S600, obtaining a fatigue representation value of the sub-segment according to the fifth parameter and the state grade value.
It can be understood that, in this step, for different individuals, the fatigue degrees of the individuals are different in the same driving time, the fatigue characteristic values of different drivers are described by the product of the fifth parameter and the state grade value, so that the application range is wider.
Step S700, obtaining a first condition according to the third parameter and the fifth parameter, wherein the first condition is a threshold value for activating the electrical stimulation signal.
It can be understood that, in this step, the third parameter is a fatigue experience constant value correspondingly obtained when most people feel sleepy, the condition of activating the electrical stimulation signal by the current driver is obtained by the product of the third parameter and the fifth parameter, and the fifth parameter is changed correspondingly according to the difference of the drivers, so that the adaptivity of the driver fatigue early warning system is improved, the threshold of the first condition is changed flexibly according to the difference of the individual drivers, and the experience of the user is improved.
Step S800, judging whether the KSS fatigue level of the driver is greater than 6 according to the KSS fatigue level of the current driver, and if so, judging whether the fatigue representation value of the sub-segment is greater than a first condition; if yes, the electric stimulation signal is activated to stimulate the current driver.
It can be understood that, in this step, the driver fatigue early warning system processes the first parameter of the sub-segment sent by the eye tracker, and obtains the KSS fatigue level of the driver in the current time period by referring to the preset KSS subjective fatigue level standard, and when the KSS fatigue level is greater than 6, the driver fatigue driving is judged in advance. And after the pre-judgment is established, judging whether the fatigue representation value of the sub-segment is greater than a first condition, if so, determining that the current state of the driver is in fatigue driving, and then sending a command of starting an electrical stimulation signal. After the electrical stimulation device receives an instruction of starting an electrical stimulation signal sent by the driver fatigue early warning system, the electrode is started to stimulate the driver so as to help the driver resist fatigue and improve the driving safety.
It should be noted that, in this embodiment, the electrical stimulation of the acupuncture points is used to help the driver resist fatigue. According to the principle of medical pulse physical therapy, double-acupoint percutaneous electrical stimulation is adopted, the positions near two acupoints, namely the Hegu acupoint and the Laogong acupoint, are used as electrical stimulation positions, a positive electrode of an electrical stimulation device is attached to an operating handle of a cab, a negative electrode is attached to the skin above the position near the Hegu acupoint, the electrical stimulation device is connected with a controller of the electrical stimulation device through a lead on the premise that the driving operation of a driver is not influenced, and the electrical stimulation device is electrically connected with a driver fatigue early warning system. When the driver fatigue early warning system sends out the command of activating the electrical stimulation signal, the electrodes stimulate the Hegu acupoint and the Laogong acupoint to stimulate a high-speed railway driver, help the driver to resist mental fatigue, improve the concentration degree of the driver and ensure the safety of railway transportation.
In order to improve the efficiency of the electrical stimulation, the driver is stimulated by the continuous electric pulse current until the driver reaches the alert state, and the step S800 is followed by a step S801, a step S802 and a step S803, wherein:
step S801, obtaining fatigue characterization values of a sixth parameter, a fifth parameter and a sub-segment, where the sixth parameter is an excitation empirical constant value summarized from an actual case.
It is understood that, in this step, the sixth parameter is determined by: according to the KSS subjective fatigue level standard, the PERCLOS value corresponding to the driver in the 4-level KSS fatigue level is obtained, then the PERCLOS values of at least 10 drivers are counted, the lower limit value with the largest PERCLOS value repetition range frequency is found, the lower limit value is the sixth parameter, and the sixth parameter is 0.4 through a large amount of test data.
Step S802, according to the sixth parameter and the fifth parameter, a second condition is obtained, wherein the second condition is a threshold value for closing the electrical stimulation signal.
It can be understood that, in this step, the product of the fifth parameter and the sixth parameter is used to obtain the current condition for the driver to turn off the electrical stimulation signal, the sixth parameter changes correspondingly according to the difference of the drivers, and the respective excitation characteristic parameter values are obtained according to the different drivers, so as to improve the adaptivity of the driver fatigue warning system.
Step S803, when the electrical stimulation signal is activated to stimulate the current driver, it is determined whether the fatigue characterization value of the sub-segment is smaller than a second condition, and if so, the electrical stimulation signal is turned off.
It will be appreciated that in this step, after the electrostimulation device continues to emit pulsed current to the body, the electrostimulation signal may not be turned off until the fatigue-indicative value of the driver's current sub-segment is less than the second condition, i.e. the driver will continue to receive stimulation with the pulsed current from the electrostimulation device after fatigue until he returns to a generally alert state.
Step S8031, step S8032, and step S8033 are further included in step S803, in which:
step S8031, after the electrical stimulation signal is activated to stimulate the current driver, the state level value and the fifth parameter of the sub-segment are acquired.
It can be understood that, in this step, after the electrical stimulation device receives the instruction for activating the electrical stimulation signal sent by the driver fatigue warning system, the state level values of the remaining sub-segments after the instruction sub-segment for activating the electrical stimulation signal and the fifth parameter corresponding to each remaining sub-segment are obtained.
Step S8032, judging whether the state grade values of the adjacent preset numbers are consistent, and if so, generating a current changing instruction; if not, judging whether the fatigue characteristic value of the sub-segment at the later time is smaller than the second condition, and if so, turning off the electric stimulation signal.
It is understood that, in this step, the preset number in this embodiment is set to 3, and in other embodiments, the number may be adjusted according to actual requirements. And judging whether the state grade values of the adjacent 3 sub-segments are consistent through a sliding window algorithm, and if so, sending a current changing instruction by a driver fatigue early warning system to adjust the output magnitude of the current intensity. And if not, judging whether the fatigue characteristic value of the last sub-segment on the time axis in the sliding window is smaller than a second condition, and if so, turning off the electrical stimulation signal.
Step S8033, in response to the instruction to change the current, obtaining an updated fifth parameter, where the updated fifth parameter is obtained by performing an accumulative superposition operation on the current fifth parameter according to a preset current intensity.
It is understood that, in this step, the preset current intensity in this step is set to be 1mA, and in other embodiments, the preset current intensity may be changed according to specific situations. When the state grade values of the adjacent 3 sub-segments are consistent, the driver fatigue early warning system makes a prejudgment that the current intensity stimulates the driver, and the effect is poor, so that the current intensity cannot play a role in warning the driver. And then, the driver fatigue early warning system updates a fifth parameter according to the increasing rate of increasing 1mA every time, and sends the updated fifth parameter to the electrical stimulation device, so that the output current intensity value of the electrical stimulation device is adjusted, and then the state grade values of the adjacent preset number of drivers are continuously observed according to the step S8032 until the condition of closing the electrical stimulation signals is reached.
Example 2:
referring to fig. 2, fig. 2 is a block diagram of a driver fatigue warning apparatus 700 according to an exemplary embodiment, and includes a first obtaining module 701, a first calculating module 702, a first judging module 703 and a second judging module 704, where:
the first obtaining module 701: the system comprises a time segment set and a control module, wherein the time segment set is used for acquiring a first parameter, a second parameter and a third parameter, the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is the time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from the actual case.
Further, the first obtaining module 701 includes a first obtaining sub-unit 7011, an update requesting unit 7012, a second obtaining sub-unit 7013, a first sub-processing unit 7014, and a second sub-processing unit 7015, where:
first acquisition subunit 7011: the method comprises the steps of obtaining a first input operation, a first parameter and a sub-segment of a driver, wherein the first input operation is a first KSS fatigue level input by the driver before driving;
update requesting unit 7012: the state level updating request information is generated at regular time according to the sub-segments, the state level updating request information reflects the updated state information of the driver, and the updated state information is the second input operation of the driver;
second obtaining subunit 7013: the second input operation of the driver is acquired in response to the state level updating request information;
first sub-processing unit 7014: the second KSS fatigue level is obtained by performing cumulative addition operation on the first KSS fatigue level;
second sub-processing unit 7015: and the method is used for judging whether the KSS fatigue level is 6, and if so, obtaining the state grade value of the driver at the KSS fatigue level of 6 according to the first parameter and the sub-segments.
The first calculation module 702: and the state grade value is obtained by performing mean calculation on the first parameter in each sub-segment.
The first determining module 703: the state grade value is used for judging whether the state grade value is larger than a third parameter or not, and if so, the current sub-segment is marked as a first label; if not, the current sub-segment is marked as the second label.
Second determination module 704: the system comprises a first label, a second label and a third parameter, wherein the first label is used for judging whether the sub-segments are marked as the first labels, if so, an updated fourth parameter is obtained, the updated fourth parameter is an accumulated frequency value obtained by performing accumulated addition operation on the current fourth parameter, and the initial value of the fourth parameter is 0; and if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver.
Further, the driver fatigue early warning device 700 further includes an electrical stimulation signal module, where the electrical stimulation signal module includes a second obtaining module 705, a second calculating module 706, a third calculating module 707, and a third determining module 708, where:
the second obtaining module 705: the method is used for obtaining a fifth parameter, a third parameter, a state grade value and the KSS fatigue grade of the current driver, wherein the fifth parameter is the current endurance value of the current driver.
Preferably, the second obtaining module 705 includes a fifth obtaining sub-unit 7051, a sixth sub-processing unit 7052, a sorting unit 7053, a seventh sub-processing unit 7054, and an eighth sub-processing unit 7055, where:
fifth acquiring subunit 7051: the system comprises a plurality of preset output position parameters and a plurality of control signals, wherein the preset output position parameters are used for acquiring identity information of a driver and the preset output position parameters of a plurality of electric stimulation signals, and the preset output position parameters are three-dimensional parameters of output electrodes arranged on a human body.
Sixth sub-processing unit 7052: and the stimulation output set is obtained based on each preset output position parameter, each stimulation output set comprises a current intensity value and a subjective sensitivity value corresponding to the preset output position parameter, and the subjective sensitivity value is a subjective perception value obtained by perceiving the electrical stimulation signal.
Ranking unit 7053: the method is used for obtaining an output priority sequence based on the subjective sensitivity value, wherein the output priority sequence is the sequence of stimulation output sets obtained based on the arrangement sequence of the subjective sensitivity value from large to small.
Seventh sub-processing unit 7054: the electric stimulation intensity collection is obtained based on the priority sequence, each electric stimulation intensity in the electric stimulation intensity collection is a preset output position parameter and a maximum current intensity value corresponding to the preset output position parameter, and the maximum current intensity value is the maximum current intensity which can be borne by a driver without influencing the driving operation of the driver.
Eighth sub-processing unit 7055: for deriving a fifth parameter based on the driver's identity information and all elements in the set of electrical stimulation intensities.
The second calculation module 706: and the fatigue representation value of the sub-segment is obtained according to the fifth parameter and the state grade value.
The third calculation module 707: and obtaining a first condition according to the third parameter and the fifth parameter, wherein the first condition is a threshold value for activating the electrical stimulation signal.
The third determination module 708: the method is used for judging whether the KSS fatigue level of the driver is greater than 6 or not according to the KSS fatigue level of the current driver, and if so, judging whether the fatigue representation value of the sub-segment is greater than a first condition or not; if yes, the electric stimulation signal is activated to stimulate the current driver.
In detail, the third determining module 708 includes a third obtaining sub-unit 7081, a third sub-processing unit 7082, and a fourth sub-processing unit 7083, where:
third acquisition subunit 7081: the fatigue characteristic values of a sixth parameter, a fifth parameter and the sub-segments are obtained, and the sixth parameter is an excitation empirical constant value summarized from an actual case.
Third sub-processing unit 7082: and obtaining a second condition according to the sixth parameter and the fifth parameter, wherein the second condition is a threshold value for closing the electrical stimulation signal.
Fourth sub-processing unit 7083: and the method is used for judging whether the fatigue characteristic value of the sub-segment is smaller than a second condition when the electrical stimulation signal is activated to stimulate the current driver, and if so, closing the electrical stimulation signal.
Specifically, fourth sub-processing unit 7083 includes a fourth obtaining sub-unit 70831, a fifth sub-processing unit 70832, and a parameter updating unit 70833, where:
the fourth acquiring sub-unit 70831: for obtaining the status level value and the fifth parameter of the sub-segment after activating the electrical stimulation signal to stimulate the current driver.
Fifth sub-processing unit 70832: the current changing device is used for judging whether the state grade values of the adjacent preset numbers are consistent, and if so, generating a current changing instruction; if not, judging whether the fatigue characteristic value of the sub-segment at the later time is smaller than the second condition, and if so, turning off the electric stimulation signal.
Parameter updating unit 70833: and the current control unit is used for responding to the instruction for changing the current to obtain an updated fifth parameter, and the updated fifth parameter is obtained by performing accumulative superposition operation on the current fifth parameter according to preset current intensity.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiment, a driver fatigue early warning device 800 is also provided in this embodiment, and a driver fatigue early warning device 800 described below and a driver fatigue early warning method described above may be referred to in correspondence.
Fig. 3 is a block diagram illustrating a driver fatigue warning device 800 according to an exemplary embodiment. As shown in fig. 3, the driver fatigue warning apparatus 800 may include: a processor 801, a memory 802. The driver fatigue warning device 800 may further include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the driver fatigue warning apparatus 800, so as to complete all or part of the steps in the driver fatigue warning method. The memory 802 is used to store various types of data to support the operation of the driver fatigue warning device 800, which may include, for example, instructions for any application or method operating on the driver fatigue warning device 800, as well as application-related data, such as contact data, messages sent or received, pictures, audio, video, and the like. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random AcceSS Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the driver fatigue warning device 800 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 805 may include: Wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the driver fatigue warning apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal ProceSSing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-mentioned driver fatigue warning method.
In another exemplary embodiment, a computer storage medium comprising program instructions that, when executed by a processor, implement the steps of the driver fatigue warning method described above is also provided. For example, the computer storage medium may be the above-mentioned memory 802 comprising program instructions executable by the processor 801 of the driver fatigue warning device 800 to perform the above-mentioned driver fatigue warning method.
Example 4:
corresponding to the above method embodiment, a storage medium is also provided in this embodiment, and a storage medium described below and a driver fatigue warning method described above may be referred to in correspondence.
A storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the driver fatigue warning method of the above-described method embodiments.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random AcceSS Memory (RAM), a magnetic disk, an optical disk, or other storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and it will be apparent to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A driver fatigue warning method is characterized by comprising the following steps:
acquiring a first parameter, a second parameter and a third parameter, wherein the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is a time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from an actual case;
obtaining a state grade value of each sub-segment according to the first parameter and each sub-segment, wherein the state grade value is a parameter obtained by performing mean calculation on the first parameter in each sub-segment;
judging whether the state grade value is larger than the third parameter, if so, marking the current sub-segment as a first label; if not, marking the current sub-segment as a second label;
on the basis of the second parameter, sequentially judging whether the sub-segments are marked as first labels according to the time sequence, if so, obtaining an updated fourth parameter, wherein the updated fourth parameter is a cumulative number value obtained by performing cumulative addition operation on the current fourth parameter, and the initial value of the fourth parameter is 0;
if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver and resetting the fourth parameter to be zero.
2. The driver fatigue early warning method according to claim 1, wherein after obtaining the current driver's KSS fatigue level by comparing the updated fourth parameter with a preset KSS subjective fatigue level standard, the method further comprises:
acquiring a fifth parameter, the third parameter, the state grade value and the KSS fatigue grade of the current driver, wherein the fifth parameter is the current endurance value of the current driver;
obtaining a fatigue representation value of the sub-segment according to the fifth parameter and the state grade value;
obtaining a first condition according to the third parameter and the fifth parameter, wherein the first condition is a threshold value for activating an electrical stimulation signal;
judging whether the KSS fatigue level of the driver is greater than 6 according to the KSS fatigue level of the current driver, and if so, judging whether the fatigue characteristic value of the sub-segment is greater than the first condition; and if so, activating the electrical stimulation signal to stimulate the current driver.
3. The driver fatigue warning method as recited in claim 2, wherein the fatigue representation value of the sub-segment is greater than the first condition, and further comprising, after activating the electrical stimulation signal to stimulate the current driver:
acquiring a sixth parameter, the fifth parameter and a fatigue characterization value of the sub-segment, wherein the sixth parameter is an excitation empirical constant value summarized from an actual case;
obtaining a second condition according to the sixth parameter and the fifth parameter, wherein the second condition is a threshold value for closing an electrical stimulation signal;
and when the electrical stimulation signal is activated to stimulate the current driver, judging whether the fatigue characteristic value of the sub-segment is smaller than the second condition, and if so, closing the electrical stimulation signal.
4. The method of claim 3, wherein determining whether the fatigue characterization value of the sub-segment is less than the second condition, and if so, turning off the electrical stimulation signal further comprises:
obtaining the status level value and the fifth parameter of the sub-segment after activating the electrical stimulation signal to stimulate a current driver;
judging whether the state grade values of the adjacent preset numbers are consistent, and if so, generating a current changing instruction; if not, judging whether the fatigue characteristic value of the sub-segment at the later time is smaller than the second condition, if so, closing the electric stimulation signal;
and responding to the instruction for changing the current to obtain the updated fifth parameter, wherein the updated fifth parameter is obtained by performing accumulative superposition operation on the current fifth parameter according to preset current intensity.
5. A driver fatigue warning device, comprising:
a first obtaining module: the system comprises a time segment set and a control module, wherein the time segment set is used for acquiring a first parameter, a second parameter and a third parameter, the first parameter is a percentage parameter of eye closure in unit time measured by a current driver in real time, the second parameter is the time segment set, and each time segment in the time segment set is a sub-segment obtained by performing equal interval segmentation on the total time of a current journey; the third parameter is a fatigue empirical constant value summarized from an actual case;
a first calculation module: the state grade value of each sub-segment is obtained according to the first parameter and each sub-segment, and the state grade value is a parameter obtained by performing average calculation on the first parameter in each sub-segment;
a first judgment module: the second label is used for judging whether the state grade value is larger than the third parameter or not, and if so, marking the current sub-segment as a first label; if not, marking the current sub-segment as a second label;
a second judging module: the second parameter is used for sequentially judging whether the sub-segments are marked as first labels or not according to the time sequence, if so, an updated fourth parameter is obtained, the updated fourth parameter is a cumulative number value obtained by performing cumulative addition operation on the current fourth parameter, and the initial value of the fourth parameter is 0; if not, comparing the updated fourth parameter with a preset KSS subjective fatigue grade standard to obtain the current KSS fatigue grade of the driver and resetting the fourth parameter to be zero.
6. The driver fatigue warning device according to claim 5, further comprising an electrical stimulation signal module, the electrical stimulation signal module comprising:
a second obtaining module: the system is used for acquiring a fifth parameter, the third parameter, the state grade value and the KSS fatigue grade of the current driver, wherein the fifth parameter is the current endurance value of the current driver;
a second calculation module: the fatigue representation value of the sub-segment is obtained according to the fifth parameter and the state grade value;
a third calculation module: obtaining a first condition according to the third parameter and the fifth parameter, wherein the first condition is a threshold value for activating an electrical stimulation signal;
a third judging module: the method is used for judging whether the KSS fatigue level of the driver is greater than 6 according to the KSS fatigue level of the current driver, and if so, judging whether the fatigue characteristic value of the sub-segment is greater than the first condition; and if so, activating the electrical stimulation signal to stimulate the current driver.
7. The driver fatigue warning device according to claim 6, wherein the third determination module comprises:
a third acquisition subunit: the fatigue characteristic values of a sixth parameter, the fifth parameter and the sub-segments are obtained, and the sixth parameter is an excitation empirical constant value summarized from an actual case;
a third sub-processing unit: obtaining a second condition according to the sixth parameter and the fifth parameter, wherein the second condition is a threshold value for closing an electrical stimulation signal;
a fourth sub-processing unit: and the electronic stimulation signal is used for judging whether the fatigue characteristic value of the sub-segment is smaller than the second condition or not when the electronic stimulation signal is activated to stimulate the current driver, and if so, the electronic stimulation signal is turned off.
8. The driver fatigue warning device according to claim 7, wherein the fourth sub-processing unit includes:
a fourth acquisition subunit: for obtaining the status level value and the fifth parameter of the sub-segment after activating the electrical stimulation signal to stimulate a current driver;
a fifth sub-processing unit: the current-changing device is used for judging whether the state grade values of the adjacent preset numbers are consistent, and if so, generating a current-changing instruction; if not, judging whether the fatigue characteristic value of the sub-segment at the later time is smaller than the second condition, if so, closing the electric stimulation signal;
a parameter updating unit: and the current control unit is used for responding to the instruction for changing the current to obtain an updated fifth parameter, and the updated fifth parameter is obtained by performing accumulative superposition operation on the current fifth parameter according to preset current intensity.
9. A driver fatigue warning apparatus, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the driver fatigue warning method as claimed in any one of claims 1 to 4 when executing the computer program.
10. A storage medium, characterized by: the storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the driver fatigue warning method as claimed in any one of claims 1 to 4.
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