CN108694813A - The method and device of fatigue driving is judged based on driving behavior - Google Patents

Abstract

The embodiment of the present invention discloses a method and device for judging fatigue driving based on driving behavior, wherein the method includes: acquiring historical driving data information and first environmental information of the target user; wherein the historical driving information includes historical environmental information, The environmental information includes ambient temperature, ambient light, and weather; according to the historical driving data information and the first environmental information, determine the fatigue driving duration of the target user, and use the fatigue driving duration as a reference driving duration ; Determine whether the target user is fatigue driving according to the reference driving duration. The technical solution of the embodiment of the present invention realizes that according to the historical driving data information and environmental information of the target user, the fatigue driving duration corresponding to the target user can be determined in advance, so as to remind the user in time, and improve the safety and reliability of the user driving the vehicle. The technical effect of reliability.

Description

Method and device for judging fatigue driving based on driving behavior

technical field

The embodiments of the present invention relate to the technical field of safe driving, and in particular to a method, device, device and storage medium for judging fatigue driving based on driving behavior.

Background technique

When the driver continuously drives the vehicle for more than a certain period of time, it is called fatigue driving. Fatigue driving is prone to physiological and psychological disorders, which can be understood as changes in physiological parameters, and objectively manifested as a decline in driving skills, which can be understood as slow and slow operation of the vehicle. If you continue to drive the vehicle after fatigue, there will be unsafe factors such as drowsiness, inattention, and operation pauses, which will lead to technical problems in traffic accidents.

In order to avoid the user's fatigue driving and when the user experiences fatigue driving, the user is reminded in time. In the prior art, the detection of user's fatigue driving is usually carried out by collecting the driver's facial image information, and analyzing the user's facial image to determine whether the user is driving fatigued. The specific way of determining is: installing a facial image acquisition module in the vehicle, It is used to continuously or intermittently collect the facial image information of the driver, and analyze and process the pupil information and blink frequency information in the continuously collected facial image information, so as to determine whether the driver is fatigue driving; further, in the present On top of technical solutions, it can also combine the head movement information of the target user to determine whether the user is driving fatigued.

However, the above technical solutions all determine whether the target user is tired while the target user is driving the vehicle. Therefore, when the target user is detected to be fatigued, the target user is already sleepy, and prompting the target user at this time does not work. technical problem.

Contents of the invention

Embodiments of the present invention provide a method, device, device, and storage medium for judging fatigue driving based on driving behavior, so as to determine the reference driving duration with the target user in advance according to the target user's historical driving data and current environmental information, and timely respond to the The user is reminded to improve the technical effect of the user's driving safety.

In the first aspect, the embodiment of the present invention provides a method for judging fatigue driving based on driving behavior, the method includes:

Obtain historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes ambient temperature, ambient light, and weather;

Determine the fatigue driving duration of the target user according to the historical driving data information and the first environmental information, and use the fatigue driving duration as a reference driving duration;

Whether the target user is driving fatigue is determined according to the reference driving duration.

In the second aspect, the embodiment of the present invention also provides a device for judging fatigue driving based on driving behavior, the device includes:

A data acquisition module, configured to acquire historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes ambient temperature, ambient light, and weather;

A module for determining fatigue driving duration, configured to determine the fatigue driving duration of the target user according to the historical driving data information and the first environmental information, and use the fatigue driving duration as a reference driving duration;

The module for determining fatigue driving is used to determine whether the target user is driving fatigue according to the reference driving duration.

In a third aspect, an embodiment of the present invention also provides a device, the device comprising:

one or more processors;

storage means for storing one or more programs,

When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the method for judging fatigue driving based on driving behavior as described in any one of the embodiments of the present invention.

In a fourth aspect, an embodiment of the present invention also provides a storage medium containing computer-executable instructions, the computer-executable instructions are used to execute the driving-based Behavioral method for judging fatigue driving.

In the technical solution of the embodiment of the present invention, by acquiring historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes environmental temperature, ambient light and weather, according to The historical driving data information and the first environmental information determine the fatigue driving duration of the target user, and use the fatigue driving duration as a reference driving duration, and determine whether the target user is fatigued according to the reference driving duration Driving, which solves the problem in the prior art whether the facial image information of the target user is continuously collected by the facial image acquisition module, whether the target user is driving fatigued according to the pupil information and blink frequency information in the facial image information, or whether the target user is driving fatigued according to the user's head movement. The way to determine whether the target user is tired is to determine whether the target user is tired while the target user is driving the vehicle. Therefore, when the target user is detected to be fatigued, the target user is already sleepy, and then the target user is prompted. The technical problem that does not work has realized the reference driving time of the target user in advance, and judges whether the current driving time of the target user is within the range of the reference driving time while the target user is driving the vehicle, and then reminds the user to improve the user's driving time. Technical effects on vehicle safety and reliability.

Description of drawings

In order to illustrate the technical solutions of the exemplary embodiments of the present invention more clearly, the following briefly introduces the drawings used in describing the embodiments. Apparently, the drawings introduced are only the drawings of a part of the embodiments to be described in the present invention, rather than all the drawings. Those of ordinary skill in the art can also obtain the Other attached drawings.

FIG. 1 is a schematic flowchart of a method for judging fatigue driving based on driving behavior provided by Embodiment 1 of the present invention;

FIG. 2 is a schematic flowchart of a method for judging fatigue driving based on driving behavior provided by Embodiment 2 of the present invention;

3 is a schematic structural diagram of a device for judging fatigue driving based on driving behavior provided by Embodiment 3 of the present invention;

Fig. 4 is a schematic structural diagram of a device in Embodiment 4 of the present invention.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

Embodiment one

Fig. 1 is a schematic flowchart of a method for judging fatigue driving based on driving behavior provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the user's fatigue driving duration is estimated in advance based on driving behavior. The method can be composed of The device for determining fatigue driving based on driving behavior is implemented, and the device may be implemented in the form of software and/or hardware.

As shown in Figure 1, the method of this embodiment includes:

S110. Acquire historical driving data information and first environment information of the target user.

Among them, the target user can be understood as a driver driving a vehicle. The historical driving data can be the driving data within a preset period, and the user's driving data in half a year, one year, and one and a half years are optional. The driving data may include information about the environment in which the user drives the vehicle, the driving distance, the driving speed, the driving duration, and the rest time during driving the vehicle. The environmental information of the driving vehicle can be the temperature inside the car where the user is, the light intensity of the external environment, etc. The temperature and light intensity can be detected by the temperature sensor and light sensor installed in the vehicle, and this data can be sent to the fatigue detection device; the fatigue detection device detects and records this environmental information.

The driving distance can be the total distance driven by the user within the preset time, the total time of driving the vehicle, the time when the vehicle is frequently driven, and the speed of driving. Corresponding current driving data.

In order to further judge the fatigue driving time of the user, it is also necessary to obtain the first environment information, that is, the current environment information. The first environmental information includes current temperature information and light intensity information. The environmental information needs to be considered as a factor for determining the user's fatigue driving time because the fatigue resistance of the user is different under different temperatures and light intensities. For example, If the user drives the vehicle under the condition of an ambient temperature of 35°C and strong light intensity, the user's anti-fatigue index may be low, and the reference driving time may be short, 2 hours is optional; if the user is in an environment with a suitable temperature, Optionally, if the temperature is within the range of 18°C-25°C and the light intensity is suitable for driving the vehicle, the reference driving time may be 3.5 hours.

Of course, environmental information also includes weather information, optional, rainy day, snowy day, etc. When driving a vehicle in rainy or snowy days, the user needs to be highly focused, and the reference driving time may be short, so the driving process of the vehicle In , it may exist that the fatigue driving time relative to the user can be obtained because of different historical driving data. The historical driving data can be used to collect the target user's facial image information by installing a facial image acquisition module in the vehicle, and cache the user's driving data corresponding to the facial image information in the database.

Obtaining the historical driving data corresponding to the target user can be obtained based on the facial image acquisition module, specifically the current facial information of the target user can be collected based on the facial image acquisition module, and the facial information of the target user is stored in the database. The face information of the target user is compared; and the historical driving data information of the target user is determined according to the comparison result.

Wherein, the facial image acquisition module can be a camera, and its specific setting position can be set according to actual needs, as long as the facial information of the driver can be ensured. The storage database is mainly used to store and save the historical driving data information corresponding to the facial image information, and can store at least one historical driving data corresponding to the facial image information, and then the user can use the facial image information collected by the facial image acquisition module from The historical driving data information corresponding to the currently collected facial image information is retrieved from the historical driving data corresponding to at least one facial image information stored in the database.

Exemplary, a car is used by three users A, B, and C, and the facial image information of the three users of A, B, and C is collected respectively based on the facial image acquisition module, and the facial image information corresponding to the collected facial image information will be The driving data information is stored in the database, and the driving data information of the three users A, B, and C is accumulated for half a year. When user A uses the vehicle, the facial image acquisition module collects the facial image information of user A, and according to user A Compare the facial image information in the database with the facial image information in the database, determine the historical driving data corresponding to user A according to the comparison results, and determine the corresponding driving data of user A according to the historical driving data of user A and the current environmental information. Fatigue driving time, and use the driving time at this time as a reference driving time.

S120. Determine the fatigue driving duration of the target user according to the historical driving data information and the first environment information, and use the fatigue driving duration as a reference driving duration.

The historical driving data can include the user's daily driving time, driving time period, driving speed and environmental information at that time. The processor in the fatigue detection device can perform statistical analysis on the user's historical data. Optionally, the statistical Weather information, temperature information, light intensity information, driving vehicle travel time information, driving vehicle speed information, and driving vehicle total distance information in different time periods. Exemplarily, a day is divided into at least one time period. Optionally, One time period, two time periods, etc. Users can divide different time periods according to actual needs. Exemplarily, the twenty-four hours of a day are divided into twelve time periods. Optionally, the first time period is from 0:00 am to 2:00 am, the second time period is from 2:00 am to 4:00 am, and so on. Ten o'clock to twelve o'clock is used as the twelfth time period, and the historical driving data information of the target user in different time periods is obtained. Optionally, if the target user starts driving the vehicle between 12:00 noon and 14:00 noon, the preset time can be retrieved. Optionally, for one year, within this time period, it can be from 12:00 noon to 12:00 noon The historical driving data information between fourteen o'clock and the current environmental information, optionally, ambient temperature, light intensity and weather conditions, determine the fatigue driving time corresponding to the target user, that is, the reference driving time.

S130. Determine whether the target user is driving fatigued according to the reference driving duration.

During the driving process of the vehicle, the current driving time of the user is obtained, and whether the target user is driving fatigued can be determined by judging whether the current driving time is within the reference driving time range. Specifically, if the current driving time of the target user is less than or equal to the reference driving time, then determine that the target user is driving normally; if the current driving time of the target user is greater than the reference driving time, then determine The target user is fatigue driving. It can be understood that when the current driving time of the target user is within the range of the reference driving time, the target user can be considered to be driving normally, that is, driving without fatigue; when the current driving time of the target user exceeds the reference driving time, it can be determined that the target user is driving fatigued .

In the technical solution of the embodiment of the present invention, by acquiring historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes environmental temperature, ambient light and weather, according to The historical driving data information and the first environmental information determine the fatigue driving duration of the target user, and use the fatigue driving duration as a reference driving duration, and determine whether the target user is fatigued according to the reference driving duration Driving, which solves the problem in the prior art whether the facial image information of the target user is continuously collected by the facial image acquisition module, whether the target user is driving fatigued according to the pupil information and blink frequency information in the facial image information, or whether the target user is driving fatigued according to the user's head movement. The way to determine whether the target user is tired is to determine whether the target user is tired while the target user is driving the vehicle. Therefore, when the target user is detected to be fatigued, the target user is already sleepy, and then the target user is prompted. The technical problem that does not work has realized the reference driving time of the target user in advance, and judges whether the current driving time of the target user is within the range of the reference driving time while the target user is driving the vehicle, and then reminds the user to improve the user's driving time. Technical effects on vehicle safety and reliability.

Embodiment two

The above technical solution determines the fatigue driving duration corresponding to the target user, that is, the reference driving duration, according to the historical driving data of the target user and the first environmental information, that is, the current environmental information. In order to improve the fatigue driving duration corresponding to the target user, it is also necessary to update or correct the fatigue driving duration according to the actual environmental information of the vehicle during driving. FIG. 2 is a schematic flowchart of a fatigue driving early warning method provided by Embodiment 2 of the present invention.

As shown in Figure 2, the method of the embodiment of the present invention includes:

S210. Collect the current facial information of the target user based on the facial image collection module, and compare the facial information of the target user with the facial information stored in the database.

Before obtaining the historical driving data corresponding to the target user, it can be obtained based on the facial image acquisition module, specifically the current facial information of the target user can be collected based on the facial image acquisition module, and the facial information of the target user is stored in the database. Compare the facial information in the computer; determine the historical driving data information with the target user according to the comparison result.

Wherein, the facial image acquisition module can be a camera, and its specific setting position can be set according to actual needs, as long as the facial information of the driver can be ensured. The storage database is mainly used to store and save the historical driving data information corresponding to the facial image information, and can store at least one historical driving data corresponding to the facial image information, and then the user can use the facial image information collected by the facial image acquisition module from The historical driving data information corresponding to the currently collected facial image information is retrieved from the historical driving data corresponding to at least one facial image information stored in the database.

Exemplary, a car is used by three users A, B, and C, and the facial image information of the three users of A, B, and C is collected respectively based on the facial image acquisition module, and the facial image information corresponding to the collected facial image information will be The driving data information is stored in the database, and the driving data information of the three users A, B, and C is accumulated for half a year. When user A uses the vehicle, the facial image acquisition module collects the facial image information of user A, and according to user A Compare the facial image information in the database with the facial image information in the database, determine the historical driving data corresponding to user A according to the comparison results, and determine the corresponding driving data of user A according to the historical driving data of user A and the current environmental information. Fatigue driving time, and use the driving time at this time as a reference driving time.

S220. Acquire historical driving data information and first environment information of the target user.

On the basis of the above technical solution, the historical driving data information corresponding to the target user is obtained. In order to improve the accuracy of determining the user's fatigue driving time, it is necessary to further obtain the first environment information of the target user, that is, the current environment. information. Exemplarily, the target user starts to drive the vehicle at eight o'clock in the morning. At this time, the historical driving data information corresponding to the target user and the current environmental information are obtained. Optionally, the weather is sunny, the ambient temperature is 20°C, and the light intensity is moderate. , at this time, according to the historical driving data and current environmental information, the fatigue driving duration corresponding to the target user can be initially determined to be 3.5 hours.

S230. During the driving process of the target user, acquire second environment information where the vehicle is currently located, and update the reference driving duration according to the second environment information.

It should be noted that the external environment has a very important impact on the fatigue driving time of the target user. For example, the time period from 12:00 noon to 3:00 pm is the time when the user is most likely to get sleepy. When the temperature is high, it is easier to get sleepy. For example, if you drive at the same speed in the same time period in summer and winter, due to the high temperature in summer, the preset fatigue driving duration will be shorter than the preset fatigue driving duration in winter. Therefore, in the process of the target user driving the vehicle, the external environment information can also be used as a measurement standard.

In step 210, according to the first environment and historical driving data, the fatigue driving duration corresponding to the target user is determined based on the environment when the user starts the vehicle. It can be understood that the default environment information of the target user driving the vehicle remains unchanged.

In order to avoid the inaccurate determination of fatigue driving time caused by changes in the environment during the operation of the vehicle, there is no technical problem in which there is no technology to remind the user. When the user is driving the vehicle, the second environment information is obtained, that is, the environment information during the vehicle driving process. Optionally, the current environment information can be obtained in real time, or the current environment information can be obtained at a preset time interval, according to The current environmental information is updated with a preset fatigue driving duration.

Exemplarily, when the ambient temperature of the target user is 20°C, the time is 8:00 in the morning, and the environmental pipeline is moderate, that is to say, the temperature and light mentioned by the target user are suitable, the user's reference driving time may not be updated at this time, That is, the preset fatigue driving duration; when the ambient temperature of the target user is 35°C and the time is 12:30 noon, the ambient temperature at this time is high and the light is strong, which may easily cause the target user to drive fatigued. Environmental information update preset fatigue driving time, optional, when not combined with external ambient light, the target user’s fatigue driving time is 3.5 hours, combined with ambient temperature and light, update the preset fatigue driving time, which can be two hours ;The target user may start the vehicle at 8 o'clock in the evening, so the estimated time may be 3 hours. When the target user is driving the vehicle, the light is getting weaker and weaker. At this time, according to the current light during driving, The preset fatigue driving duration is updated to 2 hours, and the preset fatigue driving duration corresponding to the target user is updated in combination with the ambient temperature and light intensity of the target user.

The external environment information of the target user is changeable, so the preset fatigue driving duration is updated in combination with the external environment information of the target user, which improves the accuracy of determining the preset driving duration of the target user, thereby ensuring that the target user’s driving Technical effects on vehicle safety.

S240. Determine whether the target user is driving fatigued according to the reference driving duration.

According to the relationship between the target user's actual driving time and the reference time, it can be determined whether the user is driving in fatigue. Specifically, if the current driving time of the target user is less than or equal to the reference driving time, then determine that the target user is driving normally; if the current driving time of the target user is greater than the reference driving time, then determine The target user is fatigue driving. Specifically, it can be understood that when the current driving time of the target user is within the range of the reference driving time, the target user can be considered to be driving normally, that is, driving without fatigue; when the current driving time of the target user exceeds the reference driving time, it can be determined that the target user is fatigued drive.

S250. When it is determined that the target user is driving in fatigue, remind the target user.

When the current driving time of the target user exceeds the reference driving time, it is determined that the target user is driving with fatigue, and the user can be reminded at this time. Wherein, the specific way to remind the user may be: based on at least one stimulating electrode arranged on the steering wheel to generate electrical stimulation to the target user; Make a reminder.

Wherein, at least one stimulating electrode is arranged on the steering wheel, and its number can be one, two, three, etc., and the user can set the number of stimulating electrodes according to actual needs. At least one stimulating electrode is electrically connected to the control circuit and can receive control signals from the control circuit. The control circuit can send at least one control signal according to the current state of the target user, and at least one stimulating electrode receives at least one control signal sent by the control circuit, so that at least one stimulating electrode sends out electrical stimulation of different intensities, achieving the technology of reminding the user of fatigue driving Effect. During use, the electrical stimulation from at least one stimulating electrode can also be combined with the voice prompt module. The voice information played by the voice prompt module can be voice information such as "you are driving tired, please pay attention to rest". Exemplarily, when it is detected that the current driving time of the target user has exceeded the reference driving time, it is determined that the target user is driving in fatigue, the control circuit sends at least one control signal according to the current state of the user, and at least one stimulating electrode receives at least one control signal sent by the control circuit signal, and at least one intensity of electrical stimulation is issued according to at least one control signal. At the same time, the voice reminder module can also play a certain voice information, optionally, a top song or a voice prompt light.

In the technical solution of the embodiment of the present invention, by acquiring historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes environmental temperature, ambient light and weather, according to The historical driving data information and the first environmental information determine the fatigue driving duration of the target user, and use the fatigue driving duration as a reference driving duration, and determine whether the target user is fatigued according to the reference driving duration drive. In the prior art, whether the face image information of the target user is continuously collected by the face image acquisition module, whether the target user is driving fatigue is determined according to the pupil information and blink frequency information in the face image information, or whether the target user is determined based on the user's head movement information. The method of whether the target user is tired or not is to determine whether the target user is tired while the target user is driving the vehicle. Therefore, when the target user is detected to be fatigued, the target user is already sleepy. At this time, it is impossible to remind the target user The technical problem of the function realizes the prediction of the reference driving time of the target user in advance, and judges whether the current driving time of the target user is within the range of the reference driving time during the driving process of the target user, and then reminds the user to improve the safety of the user driving the vehicle The technical effect of reliability and reliability.

On the basis of the above technical solutions, in order to improve the accuracy of detecting user fatigue driving, a physiological parameter collection module can also be set, wherein the physiological parameter collection module can collect the physiological parameter information of the target user through the wearable device, or can It can be integrated in the headset that the target user will wear, or it can be placed on the steering wheel. During the process of the target user driving the vehicle, the physiological parameter collection module can collect the user's physiological parameter information in real time, and can also collect the user's physiological parameter information in real time one hour before the reference driving time threshold. The manner of the parameter information is not limited here, and the user may set it according to requirements. Among them, the physiological parameter information may be the blood oxygen concentration, heart rate, pulse wave, blood pressure, and EEG information of the target user. During the driving process of the target user, the current physiological parameter information of the target user may be obtained, and based on the current Physiological parameter information is updated with reference to the driving time.

Combining physiological parameter information to update the reference driving time and determine whether the target user is driving can be specifically: obtain the current physiological parameter information of the target user, update the reference driving time according to the current physiological parameter information, and combine the target user’s driving time during the running of the vehicle. Whether the current physiological parameter information is within the preset physiological parameter range and whether the current driving time is within the reference driving time range is used to determine whether the user is driving in fatigue. If at least one of the conditions is satisfied, it can be determined that the target user is driving normally; if neither of the conditions is satisfied, it can be determined that the current driving state of the target user is fatigue driving. The technical solution of the embodiment of the present invention can combine the current physiological parameter information of the target user with the reference driving time to judge whether the current driving state of the target user is fatigue driving, and realize the judgment of the current state of the user from various aspects, and timely report to the user The technical effect of making reminders improves user safety.

Exemplarily, when it is detected that the current physiological parameter information is within the preset physiological parameter information range, and the current driving duration is within the reference driving duration range, it may be determined that the user is not driving tired, and the user may not be reminded at this time, It is also possible to send praise voice messages to the user, such as "You are currently driving safely, good and other voice messages"; when it is detected that the current physiological parameter information is within the range of the preset physiological parameter information, but the current driving time exceeds the reference driving time Within the range, voice information such as reminding the user to take a break in time can be understood as in order to ensure the safety of the user, as long as one of the above conditions is not met, it can be determined that the user is driving fatigued.

On the basis of the above technical solution, it should also be explained that the user’s head may move to a certain extent when driving normally. Movement information does not have regularity. However, when the user is tired, the head movement has a certain regularity, optionally, the frequency of nodding, the frequency of turning the head, etc. Therefore, on the basis of the above technical solution, a detection device for detecting head movement is also provided. The detection device is wirelessly connected with the fatigue warning device to detect the head movement information of the target user, and determine the target according to the head movement information. Whether the user is fatigued. Among them, the nine-axis sensor can be used to detect the user's head movement information. The nine-axis sensor can detect the transformation of information such as angle and acceleration. Therefore, the nine-axis sensor can be installed on the hat worn by the user, in the earphone, etc. It should be noted that, as long as the head movement information of the user can be detected, the specific setting manner may not be limited. Optionally, in the process of driving the vehicle, in order to avoid the existence of unsafe driving factors, the driver usually wears a Bluetooth headset to answer the phone, so the sensor for detecting head movement information can be integrated into the headset worn by the target user . When a user wears a headset integrated with a nine-axis sensor, the user's head movement information, optionally, the angle of left, right, up and down swings, etc. can be obtained, and then the head movement information of the target user can also be used as one of the criteria for judging whether the user is fatigued or not. one.

On the basis of the above technical solution, it should be noted that the target user may experience fatigue while driving the vehicle, so the user's fatigue level can be judged according to the user's current driving time and physiological parameter information. Optionally, determine the current fatigue level of the target user according to the current driving time of the target user and the physiological parameter information; Corresponding target rest duration: acquire the target user's current rest duration and target rest duration, and determine whether the target user can start the vehicle.

Specifically, it can be understood as: before using the fatigue driving warning device, the corresponding relationship between the fatigue level and the target rest time of the target user is established in advance. The corresponding target rest time is half an hour, etc. It should be noted that the rest at this time is not necessarily sleep, but also the time of non-driving. The fatigue driving warning device can judge the target user according to the target user's current driving time and physiological parameter information. The current fatigue level, and obtain the rest time corresponding to the current fatigue level according to the mapping relationship table established in advance. When the target user uses the vehicle again, the current rest duration of the target user is obtained, and the relationship between the current rest duration and the target rest duration is judged to determine whether the target user can start the vehicle.

The specific judgment method for determining whether the target user can start the vehicle may be: if the target user’s rest time is greater than or equal to the rest time in the pre-established mapping relationship table, then the target user starts the vehicle; If the duration is less than the rest duration in the pre-established mapping table, the target user cannot start the vehicle.

The technical solution of the embodiment of the present invention determines whether the target user can start the vehicle by judging whether the current rest time of the target user exceeds the target rest time. Using this method can ensure that the target user can have enough rest time, in order to further prevent fatigue driving The technical effect of providing guarantee and improving user safety is also provided.

On the basis of the above technical solution, it is also possible to judge whether the target user is driving with fatigue based on the motion information of the vehicle. Specifically, a nine-axis sensor is provided on the steering wheel, and its specific position on the steering wheel is not limited here. The nine-axis sensor can detect the rotation angle of the steering wheel and the acceleration and deceleration information of the vehicle. It should be noted that when the user is driving without fatigue, he can predict the road situation in advance and take corresponding measures according to the prediction result. Therefore, there are few situations where the steering wheel turns sharply, the speed of the vehicle suddenly decelerates and accelerates suddenly. However, When the user is driving tired, the driver's attention is not concentrated and the thinking is relatively chaotic. It is usually difficult to make predictions based on the road conditions, because the steering wheel may turn sharply, and the vehicle may suddenly accelerate or decelerate technically. . Therefore, the motion information of the vehicle can be used as one of the criteria for determining whether the user is driving fatigued. The fatigue driving warning device also obtains the user's vehicle driving information, which can be understood as the nine-axis sensor installed on the steering wheel detects the movement information of the steering wheel, and determines the current state of the target user according to the movement information of the steering wheel. Specifically, it can be: within the preset time, optional, five minutes, the data of the vehicle motion information detected by the nine-axis sensor set on the steering wheel, optional, whether the steering wheel has repeatedly turned sharply in a row, the vehicle suddenly accelerated, If the data information such as sudden deceleration exceeds the range of vehicle motion information data of the target user driving the vehicle under normal conditions, it can be determined that the target user is driving fatigued, and the target user can be further reminded.

It should be noted that the above-mentioned factors for determining fatigue driving can all be used as a measurement standard for determining user fatigue driving, and the weight value of each factor is different, and the distribution of the specific weight value can be handled according to the actual situation of the day. Exemplarily, when the ambient temperature of the user is 35° C. and the driving time of the vehicle is twelve o'clock in the noon, then the external environment and physiological parameters may have larger weights at this time, that is, as the main measurement criteria.

It should also be noted that the technical solution of the embodiment of the present invention can not only predict the fatigue driving time of the target user in advance, but also update the fatigue driving time corresponding to the target user in real time according to various parameter information during the driving process of the target user. Time, further ensuring the technical effect of the safety of the user driving the vehicle.

Embodiment Three

3 is a schematic structural diagram of a device for determining fatigue driving based on driving behavior provided by Embodiment 3 of the present invention. The device includes: a data acquisition module 310 , a fatigue driving duration determination module 320 and a fatigue driving determination module 330 .

The acquisition data module 310 is used to acquire the historical driving data information and the first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes ambient temperature, ambient light and weather; determining fatigue driving The duration module 320 is configured to determine the fatigue driving duration of the target user according to the historical driving data information and the first environmental information, and use the fatigue driving duration as a reference driving duration; the fatigue driving module 330 is used to Then determine whether the target user is driving with fatigue according to the reference driving duration.

On the basis of the above technical solution, the module 320 for determining the duration of fatigue driving is further configured to: acquire the second environment information where the vehicle is currently located during the driving process of the target user, and update the current environment information according to the second environment information. The above reference driving time.

On the basis of the above-mentioned technical solutions, the device also includes: a facial image acquisition module, which is used to collect the user's facial information based on the facial image acquisition module and store the user's driving data corresponding to the facial information in the in the database.

On the basis of the above-mentioned technical solutions, before the acquisition of the historical driving data information of the target user, the acquiring data module in the device further includes: acquiring the current facial information of the target user based on the facial image acquisition module, and The face information of the target user is compared with the face information stored in the database; and the historical driving data information of the target user is determined according to the comparison result.

On the basis of the above technical solutions, the device further includes: acquiring the current physiological parameter information of the target user based on the physiological parameter detection module, wherein the physiological parameter information includes the user's blood oxygen concentration, heart rate, pulse wave, Blood pressure and EEG information.

On the basis of the above technical solutions, after the physiological parameter-based detection module acquires the current physiological parameter information of the target user, the device further includes: correcting the reference driving time according to the current physiological parameter information.

On the basis of the above technical solutions, the module for determining fatigue driving is also used for: if the current driving duration of the target user is less than or equal to the reference driving duration, then determine that the target user is driving normally; if the If the current driving time of the target user is longer than the reference driving time, it is determined that the target user is driving fatigued, and the target user is reminded.

On the basis of the above technical solutions, the device is further configured to: determine the current fatigue level of the target user according to the current driving time of the target user and the physiological parameter information; The duration mapping relationship table determines the target rest duration corresponding to the current fatigue level; obtains the current rest duration and the target rest duration of the target user, and determines whether the target user can start the vehicle.

On the basis of the above technical solutions, the acquisition of the current rest duration of the target user, and according to the pre-established fatigue level and the rest duration mapping table corresponding to the target user, determine whether the target user can Starting the vehicle, including: if the target user's rest duration is greater than or equal to the rest duration in the pre-established mapping relationship table, then the target user starts the vehicle; if the target user's rest duration is less than the pre-established mapping relationship table If the rest time is long, the target user cannot start the vehicle.

In the technical solution of the embodiment of the present invention, by acquiring historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes environmental temperature, ambient light and weather, according to The historical driving data information and the first environmental information determine the fatigue driving duration of the target user, and use the fatigue driving duration as a reference driving duration, and determine whether the target user is fatigued according to the reference driving duration drive. In the prior art, whether the face image information of the target user is continuously collected by the face image acquisition module, whether the target user is driving fatigue is determined according to the pupil information and blink frequency information in the face image information, or whether the target user is determined based on the user's head movement information. The method of whether the target user is tired or not is to determine whether the target user is tired while the target user is driving the vehicle. Therefore, when the target user is detected to be fatigued, the target user is already sleepy. At this time, it is impossible to remind the target user The technical problem of the function realizes the prediction of the reference driving time of the target user in advance, and judges whether the current driving time of the target user is within the range of the reference driving time during the driving process of the target user, and then reminds the user to improve the safety of the user driving the vehicle The technical effect of reliability and reliability.

The device for determining fatigue driving based on driving behavior provided by the embodiments of the present invention can execute the method for determining fatigue driving based on driving behavior provided by any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method.

It is worth noting that the units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only In order to facilitate mutual distinction, it is not used to limit the protection scope of the embodiments of the present invention.

Embodiment four

FIG. 4 is a schematic structural diagram of a device provided by Embodiment 4 of the present invention. Figure 4 shows a block diagram of an exemplary device 40 suitable for implementing an embodiment of the invention. The device 40 shown in FIG. 4 is only an example, and should not limit the functions and scope of use of this embodiment of the present invention.

As shown in FIG. 4, device 40 takes the form of a general-purpose computing device. Components of the device 40 may include, but are not limited to: one or more processors or processing units 401 , a system memory 402 , and a bus 403 connecting different system components (including the system memory 402 and the processing unit 401 ).

Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus structures. These architectures include, by way of example, but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect ( PCI) bus.

Device 40 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by device 40 and include both volatile and nonvolatile media, removable and non-removable media.

System memory 402 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 404 and/or cache memory 405 . Device 40 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, non-volatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a disk drive for reading and writing to removable nonvolatile disks (e.g., "floppy disks") may be provided, as well as for removable nonvolatile optical disks (e.g., CD-ROM, DVD-ROM or other optical media) CD-ROM drive. In these cases, each drive may be connected to bus 403 via one or more data media interfaces. Memory 402 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present invention.

A program/utility 408 having a set (at least one) of program modules 407 may be stored, for example, in memory 402, such program modules 407 including but not limited to an operating system, one or more application programs, other program modules, and program data , each or some combination of these examples may include implementations of network environments. The program module 407 generally executes the functions and/or methods of the described embodiments of the present invention.

Device 40 may also communicate with one or more external devices 409 (e.g., a keyboard, pointing device, display 410, etc.), and with one or more devices that enable a user to interact with Device 40 is capable of communicating with any device (eg, network card, modem, etc.) that communicates with one or more other computing devices. Such communication may occur through input/output (I/O) interface 411 . Also, device 40 may communicate with one or more networks (eg, local area network (LAN), wide area network (WAN), and/or public networks, such as the Internet) via network adapter 412 . As shown, network adapter 412 communicates with other modules of device 40 via bus 403 . It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in conjunction with device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

The processing unit 401 executes various functional applications and data processing by running the programs stored in the system memory 402 , for example, implementing a method for judging fatigue driving based on driving behavior provided by an embodiment of the present invention.

Embodiment five

Embodiment 5 of the present invention also provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute a method for determining fatigue driving based on driving behavior when executed by a computer processor.

The computer storage medium in the embodiments of the present invention may use any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more leads, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), Erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a data signal carrying computer readable program code in baseband or as part of a carrier wave. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. .

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including - but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations of embodiments of the present invention may be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, including A conventional procedural programming language - such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider). Internet connection).

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended claims.

Claims (10)

1. A method for judging fatigue driving based on driving behavior, comprising: Obtain historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information and historical driving vehicle data information, and the environmental information includes ambient temperature, ambient light, and weather; Determine the fatigue driving duration of the target user according to the historical driving data information and the first environmental information, and use the fatigue driving duration as a reference driving duration; Whether the target user is driving fatigue is determined according to the reference driving duration. 2. The method according to claim 1, characterized in that, according to the historical driving data information and the first environmental information, determine the fatigue driving duration of the target user, and use the fatigue driving duration as Reference driving time, including: During the driving process of the target user, the second environment information where the vehicle is currently located is acquired, and the reference driving duration is updated according to the second environment information. 3. The method according to claim 1, further comprising: The facial image-based acquisition module collects facial information of the user and stores the driving data of the user corresponding to the facial information in a database. 4. The method according to claim 3, further comprising: Gather the current facial information of the target user based on the facial image acquisition module, and compare the facial information of the target user with the facial information stored in the database; The historical driving data information of the target user is determined according to the comparison result. 5. The method according to claim 4, further comprising: The current physiological parameter information of the target user is acquired by the physiological parameter detection module, wherein the physiological parameter information includes blood oxygen concentration, heart rate, pulse wave, blood pressure and EEG information of the user. 6. The method according to claim 5, further comprising: after the physiological parameter-based detection module obtains the current physiological parameter information of the target user: Correcting the reference driving time according to the current physiological parameter information. 7. The method according to claim 1, wherein the determining whether the target user is driving fatigued according to the reference driving duration comprises: If the current driving time of the target user is less than or equal to the reference driving time, it is determined that the target user is driving normally; If the current driving time of the target user is longer than the reference driving time, it is determined that the target user is driving with fatigue, and the target user is reminded. 8. The method according to claim 6, further comprising: determining the current fatigue level of the target user according to the current driving time of the target user and the physiological parameter information; Determining the target rest duration corresponding to the current fatigue grade according to the pre-established mapping relationship table between the fatigue level and the target rest duration; Obtain the current rest duration and target rest duration of the target user, and determine whether the target user can start the vehicle. 9. The method according to claim 8, characterized in that, the acquisition of the target user's current rest duration, and according to the pre-established fatigue level and the corresponding rest duration mapping table of the target user, determine Whether the target user can start the vehicle, including: If the rest duration of the target user is greater than or equal to the rest duration in the pre-established mapping relationship table, the target user starts the vehicle; If the rest duration of the target user is less than the rest duration in the pre-established mapping relationship table, the target user cannot start the vehicle. 10. A device for judging fatigue driving based on driving behavior, characterized in that it comprises: A data acquisition module, configured to acquire historical driving data information and first environmental information of the target user; wherein, the historical driving information includes historical environmental information, and the environmental information includes ambient temperature, ambient light, and weather; A module for determining fatigue driving duration, configured to determine the fatigue driving duration of the target user according to the historical driving data information and the first environmental information, and use the fatigue driving duration as a reference driving duration; The module for determining fatigue driving is used to determine whether the target user is driving fatigue according to the reference driving duration.