CN108694813B - Method and device for judging fatigue driving based on driving behaviors - Google Patents
Method and device for judging fatigue driving based on driving behaviors Download PDFInfo
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- CN108694813B CN108694813B CN201810757092.6A CN201810757092A CN108694813B CN 108694813 B CN108694813 B CN 108694813B CN 201810757092 A CN201810757092 A CN 201810757092A CN 108694813 B CN108694813 B CN 108694813B
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
- B60W2040/0827—Inactivity or incapacity of driver due to sleepiness
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Abstract
The embodiment of the invention discloses a method and a device for judging fatigue driving based on driving behaviors, wherein the method comprises the following steps: acquiring historical driving data information and first environment information of a target user; the historical driving information comprises historical environment information, wherein the environment information comprises ambient temperature, ambient light and weather; determining the fatigue driving time length of the target user according to the historical driving data information and the first environment information, and taking the fatigue driving time length as a reference driving time length; and determining whether the target user is fatigue driving according to the reference driving time length. According to the technical scheme of the embodiment of the invention, the fatigue driving time corresponding to the target user can be determined in advance according to the historical driving data information and the environmental information of the target user, so that the user is reminded in time, and the technical effects of improving the safety and reliability of driving the vehicle by the user are achieved.
Description
Technical Field
The embodiment of the invention relates to the technical field of safe driving, in particular to a method, a device, equipment and a storage medium for judging fatigue driving based on driving behaviors.
Background
The time that the driver drives the vehicle continuously is longer than a certain time is called fatigue driving. Fatigue driving is likely to cause disorder of physiological and psychological functions, and is understood as a change in physiological parameters, a decline in driving skill in an objective manner, and a slowness or slowness of operation of a vehicle. When the vehicle continues to be driven after fatigue, unsafe factors such as drowsiness, inattention, operation pause and the like can occur, thereby leading to the technical problem of traffic accidents.
In order to avoid fatigue driving of the user and when the user is tired, the user is reminded in time. In the prior art, the fatigue driving of a user is often detected by collecting facial image information of the driver and analyzing the facial image of the user to determine whether the user is in fatigue driving, and the specific determination method is as follows: a facial image acquisition module is arranged in the vehicle and used for continuously or discontinuously acquiring facial image information of a driver, and analyzing and processing pupil information, blink frequency information and the like in the continuously acquired facial image information so as to determine whether the driver is in fatigue driving; furthermore, on the basis of the technical scheme of the prior art, head running information of the target user can be combined to determine whether the user is tired to drive.
However, in the above technical solutions, it is determined whether the target user is tired or not while the target user drives the vehicle, so that there may be a technical problem that when the target user is detected to be tired, the target user is not prompted to be effective.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for judging fatigue driving based on driving behaviors, so as to realize the technical effects of determining the reference driving time length of a target user in advance according to historical driving data of the target user and current environmental information, reminding the user in time and improving the safety of the user in driving a vehicle.
In a first aspect, an embodiment of the present invention provides a method for determining fatigue driving based on driving behavior, where the method includes:
acquiring historical driving data information and first environment information of a target user; the historical driving information comprises historical environment information, wherein the environment information comprises ambient temperature, ambient light and weather;
determining the fatigue driving time length of the target user according to the historical driving data information and the first environment information, and taking the fatigue driving time length as a reference driving time length;
and determining whether the target user is fatigue driving according to the reference driving time length.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining fatigue driving based on driving behavior, including:
the acquisition data module is used for acquiring historical driving data information and first environment information of a target user; the historical driving information comprises historical environment information, wherein the environment information comprises ambient temperature, ambient light and weather;
the fatigue driving duration determining module is used for determining the fatigue driving duration of the target user according to the historical driving data information and the first environment information, and taking the fatigue driving duration as a reference driving duration;
and the fatigue driving determining module is used for determining whether the target user is in fatigue driving according to the reference driving time length.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of determining fatigue driving based on driving behavior as described in any of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method of determining fatigue driving based on driving behavior according to any one of the embodiments of the present invention.
According to the technical scheme of the embodiment of the invention, historical driving data information and first environment information of a target user are acquired; wherein the historical driving information comprises historical environmental information, the environmental information comprises environmental temperature, environmental light and weather, the fatigue driving time length of the target user is determined according to the historical driving data information and the first environmental information, the fatigue driving time length is used as a reference driving time length, whether the target user is fatigue driving is determined according to the reference driving time length, and the problems that whether a facial image acquisition module is adopted to continuously acquire facial image information of the target user, whether the target user is fatigue driving is determined according to pupil information and blink frequency information in the facial image information, and whether the target user is fatigue driving is determined according to head movement information of the user in the prior art are solved, whether the target user is fatigue driving in the vehicle driving process is determined, and therefore, when the target user is detected to be fatigue, the technical problem that the target user is sleepy and the prompt of the target user is ineffective at the moment is solved, the reference driving time of the target user is predicted in advance, whether the current driving time is within the range of the reference driving time or not is judged in the driving process of the target user driving the vehicle, and therefore the technical effect that the safety and the reliability of the user driving the vehicle are improved is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, a brief description is given below of the drawings used in describing the embodiments. It should be clear that the described figures are only views of some of the embodiments of the invention to be described, not all, and that for a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flow chart of a method for determining fatigue driving based on driving behaviors according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for determining fatigue driving based on driving behaviors according to a second embodiment of the present invention; (ii) a
Fig. 3 is a schematic structural diagram of a device for determining fatigue driving based on driving behaviors according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart illustrating a method for determining fatigue driving based on driving behaviors according to a first embodiment of the present invention, which is applicable to a case where a fatigue driving duration of a user is estimated in advance based on driving behaviors.
As shown in fig. 1, the method of this embodiment includes:
and S110, acquiring historical driving data information and first environment information of the target user.
The target user may be understood as a driver who drives the vehicle. The historical driving number may be driving data within a preset time, and may be selected from driving data of a user in half a year, and a half a year. The driving data may include environmental information where the user is located when driving the vehicle, as well as a driving distance, a driving speed, a driving time period, a rest time during which the vehicle is driven, and the like. The environment information of the driving vehicle can be the temperature in the vehicle, the light intensity of the external environment and the like of a user, the temperature and the light intensity can be detected by a temperature detection sensor, a light sensor and other devices arranged in the vehicle, and the data can be sent to a fatigue detection device; the fatigue detection device detects and records the environmental information.
The driving distance can be information such as a total distance traveled by a user driving the vehicle within a preset time, a total time traveled by the user driving the vehicle, a time point traveled by the user frequently driving the vehicle, a traveling speed, and the like, and current driving data corresponding to the user can be obtained according to a series of data of the user driving the vehicle.
In order to further judge the fatigue driving time of the user, the first environment information, that is, the current environment information, needs to be acquired. The first environment information includes current temperature information and light intensity information, and the environment information needs to be taken into consideration for determining the fatigue driving time of the user because the fatigue resistance degrees of the user are different at different temperatures and light intensities, for example, when the user drives a vehicle under the conditions that the environment temperature is 35 ℃ and the light intensity is strong, the fatigue resistance index of the user is low, the reference driving time may be short, and 2 hours are selectable; if the user drives the vehicle in an environment with a suitable temperature, optionally a temperature in the range of 18 c to 25 c, and a suitable light intensity, the reference driving time period may be 3.5 hours.
Of course, the environmental information further includes weather information, optionally, rainy days, snowy days, and the like, when the user drives the vehicle to travel in rainy days and snowy days, attention needs to be focused, and the reference driving time may be short, so that there may be a case that fatigue driving time relative to the user can be obtained due to different historical driving data in the driving process of the vehicle. The historical driving data can be acquired by installing a facial image acquisition module in the vehicle, and the user driving data corresponding to the facial image information is cached in a database.
Acquiring historical driving data corresponding to a target user, wherein the historical driving data can be acquired based on a facial image acquisition module, specifically, the historical driving data can be acquired based on the facial image acquisition module acquiring current facial information of the target user, and comparing the facial information of the target user with facial information stored in a database; and determining the historical driving data information of the target user according to the comparison result.
The facial image acquisition module can be a camera, and the specific setting position of the facial image acquisition module can be set according to actual requirements as long as the facial information of a driver can be acquired. The storage database is mainly used for storing and saving historical driving data information corresponding to the facial image information, at least one piece of historical driving data corresponding to the facial image information can be stored, and then a user can call the historical driving data information corresponding to the currently collected facial image information from the historical driving data corresponding to the at least one piece of facial image information stored in the storage database according to the facial image information collected by the facial image collecting module.
Illustratively, a vehicle is used by A, B, C three users, face image information of A, B, C three users is respectively collected by face image collecting modules, driving data information corresponding to the collected face image information is stored in a database, the driving data information of the three users in half year time is accumulated and counted A, B, C, when the A user uses the vehicle, the face image collecting module collects the face image information of the A user, the face image information of the A user is compared with the face image information in the database according to the face image information of the A user, historical driving data corresponding to the A user is determined according to the comparison result, a fatigue driving time length corresponding to the A user is determined according to the historical driving data of the A user and current environment information, and the driving time length at the moment is used as a reference driving time length.
S120, determining the fatigue driving time length of the target user according to the historical driving data information and the first environment information, and taking the fatigue driving time length as a reference driving time length.
The historical driving data may include the driving time of the user every day, the driving time period, the speed of the driven vehicle and the current environmental information, the processor in the fatigue detection device may perform statistical analysis processing on the historical data of the user, optionally, the weather information, the temperature information, the light intensity information, the driving time information of the driven vehicle, the speed information of the driven vehicle and the information of the total driving distance of the driven vehicle in different time periods are counted, for example, the day is divided into at least one time period, optionally, one time period, two time periods and the like, and the user may divide the different time periods according to the actual needs. For example, twenty-four hours a day is divided into twelve time periods, optionally, from zero point to two points in the morning are used as a first time period, from two points to four points in the morning are used as a second time period, and so on, from ten points to twelve points in the evening are used as a twelfth time period, and historical driving data information of the target user in different time periods is obtained. Optionally, if the target user starts driving the vehicle between twelve o 'clock and fourteen o' clock at noon, a preset time, optionally one year, may be called, and in this time period, historical driving data information between twelve o 'clock and fourteen o' clock at noon and current environmental information, optionally, environmental temperature, light intensity and weather condition are combined, and the fatigue driving time corresponding to the target user, that is, the reference driving time is determined.
And S130, determining whether the target user is fatigue driving according to the reference driving time length.
In the running process of the vehicle, the current driving time of the user is acquired, and whether the target user is in fatigue driving can be determined by judging whether the current driving time is within the reference driving time range. The method specifically comprises the following steps: if the current driving time length of the target user is less than or equal to the reference driving time length, judging that the target user is in normal driving; and if the current driving time of the target user is longer than the reference driving time, judging that the target user is in fatigue driving. It can be understood that when the current driving time of the target user is within the reference driving time range, the target user can be considered to be driving normally, i.e. not driving fatigued; when the current driving time length of the target user exceeds the reference driving time length, fatigue driving of the target user can be judged.
According to the technical scheme of the embodiment of the invention, historical driving data information and first environment information of a target user are acquired; wherein the historical driving information comprises historical environmental information, the environmental information comprises environmental temperature, environmental light and weather, the fatigue driving time length of the target user is determined according to the historical driving data information and the first environmental information, the fatigue driving time length is used as a reference driving time length, whether the target user is fatigue driving is determined according to the reference driving time length, and the problems that whether a facial image acquisition module is adopted to continuously acquire facial image information of the target user, whether the target user is fatigue driving is determined according to pupil information and blink frequency information in the facial image information, and whether the target user is fatigue driving is determined according to head movement information of the user in the prior art are solved, whether the target user is fatigue driving in the vehicle driving process is determined, and therefore, when the target user is detected to be fatigue, the technical problem that the target user is sleepy and the prompt of the target user is ineffective at the moment is solved, the reference driving time of the target user is predicted in advance, whether the current driving time is within the range of the reference driving time or not is judged in the driving process of the target user driving the vehicle, and therefore the technical effect that the safety and the reliability of the user driving the vehicle are improved is achieved.
Example two
According to the technical scheme, the fatigue driving time length corresponding to the target user, namely the reference driving time length, is determined according to the historical driving data of the target user and the first environment information, namely the current environment information. In order to increase the fatigue driving time period corresponding to the target user, the fatigue driving time period also needs to be updated or corrected according to the actual environmental information of the vehicle during driving. Fig. 2 is a schematic flow chart of a fatigue driving warning method according to a second embodiment of the present invention.
As illustrated in fig. 2, the method of the embodiment of the present invention includes:
s210, acquiring current face information of a target user based on a face image acquisition module, and comparing the face information of the target user with the face information stored in a database.
Before acquiring historical driving data corresponding to a target user, acquiring the historical driving data based on a facial image acquisition module, specifically acquiring current facial information of the target user based on the facial image acquisition module, and comparing the facial information of the target user with facial information stored in a database; and determining the historical driving data information of the target user according to the comparison result.
The facial image acquisition module can be a camera, and the specific setting position of the facial image acquisition module can be set according to actual requirements as long as the facial information of a driver can be acquired. The storage database is mainly used for storing and saving historical driving data information corresponding to the facial image information, at least one piece of historical driving data corresponding to the facial image information can be stored, and then a user can call the historical driving data information corresponding to the currently collected facial image information from the historical driving data corresponding to the at least one piece of facial image information stored in the storage database according to the facial image information collected by the facial image collecting module.
Illustratively, a vehicle is used by A, B, C three users, face image information of A, B, C three users is respectively collected by face image collecting modules, driving data information corresponding to the collected face image information is stored in a database, the driving data information of the three users in half year time is accumulated and counted A, B, C, when the A user uses the vehicle, the face image collecting module collects the face image information of the A user, the face image information of the A user is compared with the face image information in the database according to the face image information of the A user, historical driving data corresponding to the A user is determined according to the comparison result, a fatigue driving time length corresponding to the A user is determined according to the historical driving data of the A user and current environment information, and the driving time length at the moment is used as a reference driving time length.
And S220, acquiring historical driving data information and first environment information of the target user.
On the basis of the technical scheme, historical driving data information corresponding to the target user is acquired, and in order to improve the accuracy of determining the fatigue driving time of the user, first environment information where the target user is located, namely current environment information, needs to be further acquired. For example, the target user starts to prepare to drive the vehicle to run at eight am, at this time, historical driving data information and current environment information corresponding to the target user are acquired, optionally, the weather is clear, the ambient temperature is 20 ℃, and the light intensity is moderate, and at this time, the fatigue driving time corresponding to the target user can be preliminarily determined to be 3.5 hours according to the historical driving data and the current environment information.
And S230, in the driving process of the target user, obtaining second environment information of the current vehicle, and updating the reference driving time according to the second environment information.
It should be noted that the external environment has a very important influence on the fatigue driving time of the target user, for example, the moment when the user is most likely to get trapped in the time period from twelve noon to three pm, and when the ambient temperature of the target user is higher, the moment is also more likely to get trapped in the time period, for example, the vehicle is driven at the same speed in the same time period in summer and winter, because the temperature in summer is higher, the preset fatigue driving duration is shorter than the preset fatigue driving duration in winter, so in the driving process of the target user driving the vehicle, the external environment information can also be used as a measurement standard.
In step 210, it is determined that the fatigue driving time period corresponding to the target user is estimated according to the first environment and the historical driving data, and it is understood that the environment information of the target user driving the vehicle is invariable all the time.
The technical problem that the fatigue driving time is determined inaccurately due to the fact that the environment changes in the vehicle running process, and a user is not reminded technically is solved. In the process that the user drives the vehicle to run, the second environment information, namely the environment information in the process that the vehicle runs, optionally, the current environment information can be obtained in real time, or the current environment information can be obtained at intervals of preset time, and the preset fatigue driving duration is updated according to the current environment information.
For example, when the target user is located at an ambient temperature of 20 ℃ and the time is eight morning hours, the ambient pipeline is moderate, that is, the temperature and the light of the target user are appropriate, and the reference driving duration of the user, that is, the preset fatigue driving duration, may not be updated at this time; when the external environment temperature of the target user is 35 ℃ and the time is twelve o' clock at noon and half, the environment temperature is high, the light is strong, the fatigue driving of the target user is easily caused, the preset fatigue driving time length needs to be updated according to the environment information, optionally, when the external environment light is not combined, the fatigue driving time length of the target user is 3.5 hours, and after the environment temperature and the light are combined, the preset fatigue driving time length is updated, and the time length can be two hours; the target user may start the vehicle at eight night, so the estimated time may be 3 hours, the light is weaker and weaker in the process of driving the vehicle by the target user, at this time, the preset fatigue driving time duration may be updated to 2 hours according to the current light in the driving process, and the preset fatigue driving time duration corresponding to the target user is updated according to the ambient temperature of the target user and the light intensity.
The external environment information of the target user is changeable, so that the preset fatigue driving time is updated by combining the external environment information of the target user, the accuracy of determining the preset driving time of the target user is improved, and the technical effect of ensuring the safety of driving the vehicle by the target user is further ensured.
S240, determining whether the target user is fatigue driving according to the reference driving time length.
Whether the user is fatigue driving can be determined according to the relation between the actual driving time of the target user and the reference time. The method specifically comprises the following steps: if the current driving time length of the target user is less than or equal to the reference driving time length, judging that the target user is in normal driving; and if the current driving time of the target user is longer than the reference driving time, judging that the target user is in fatigue driving. Specifically, it can be understood that when the current driving time of the target user is within the reference driving time range, the target user can be considered to be driving normally, i.e. driving without fatigue; when the current driving time length of the target user exceeds the reference driving time length, fatigue driving of the target user can be judged.
And S250, when the target user is determined to be fatigue driving, reminding the target user.
And when the current driving time of the target user exceeds the reference driving time, judging that the target user is fatigue driving, and reminding the user at the moment. The specific way of reminding the user may be: generating an electrical stimulus to the target user based on at least one stimulation electrode disposed on a steering wheel; and/or playing voice information based on a voice prompt module arranged in the vehicle to remind the user.
Wherein, set up at least one stimulation electrode on the steering wheel, its quantity can be one, two, three etc. and the user can set up the number of stimulation electrode according to actual demand. At least one stimulation electrode is electrically connected with the control circuit and can receive the control signal sent by the control circuit. The control circuit can send out at least one control signal according to the current state of the target user, and the at least one stimulation electrode receives the at least one control signal sent out by the control circuit, so that the at least one stimulation electrode sends out electric stimulation with different intensities, and the technical effect of reminding the user of fatigue driving is achieved. In use, the electrical stimulation from the at least one stimulation electrode may also be combined with a voice prompt module. The voice information played by the voice prompt module can be voice information of 'you are tired to drive and please take a rest'. Illustratively, when it is detected that the current driving time of the target user exceeds the reference driving time, fatigue driving of the target user is determined, the control circuit sends out at least one control signal according to the current state of the user, the at least one stimulation electrode receives the at least one control signal sent out by the control circuit and sends out at least one intensity of electrical stimulation according to the at least one control signal, and meanwhile, the voice reminding module can also play certain voice information, and optionally, a hard song or a voice reminding lamp.
According to the technical scheme of the embodiment of the invention, historical driving data information and first environment information of a target user are acquired; the historical driving information comprises historical environment information, the environment information comprises environment temperature, ambient light and weather, the fatigue driving time of the target user is determined according to the historical driving data information and the first environment information, the fatigue driving time is used as a reference driving time, and whether the target user is fatigue driving is determined according to the reference driving time. Solves the problems that no matter the facial image acquisition module is adopted to continuously acquire the facial image information of the target user in the prior art, whether the target user is tired or not is determined according to the pupil information and the blink frequency information in the face image information, or whether the target user is tired or not is determined according to the head movement information of the user, whether the target user is tired or not is determined in the process that the target user drives a vehicle, therefore, the technical problem that the target user is sleepy when the fatigue of the target user is detected, and the prompt of the target user is ineffective at the moment can be solved, the reference driving time length of the target user can be predicted in advance, and judges whether the current driving time period is within the range of the reference driving time period or not in the process that the target user drives the vehicle to run, and then remind the user to improve the technical effect that the user drives the safety and reliability of the vehicle.
On the basis of the technical scheme, in order to improve the accuracy of detecting fatigue driving of the user, a physiological parameter acquisition module can be further arranged, wherein the physiological parameter information of the target user can be acquired through the wearable device through the acquisition of the physiological parameter acquisition module, the physiological parameter acquisition module can also be integrated in an earphone to be worn by the target user, and the physiological parameter acquisition module can also be arranged on a steering wheel. In the process of driving a vehicle by a target user, the physiological parameter acquisition module can acquire the physiological parameter information of the user in real time, and also can acquire the physiological parameter information of the user in real time one hour before a reference driving time threshold, wherein the specific mode for acquiring the physiological parameter information of the target user is not limited, and the user can set the physiological parameter information according to requirements. The physiological parameter information can be blood oxygen concentration, heart rate, pulse wave, blood pressure, electroencephalogram information and the like of the target user, and in the driving process of the target user driving a vehicle, the current physiological parameter information of the target user can be obtained, and the reference driving time length can be updated according to the current physiological parameter information.
Updating the reference driving time length and determining whether the target user drives in combination with the physiological parameter information, which may specifically be: the method comprises the steps of obtaining current physiological parameter information of a target user, updating a reference driving time length according to the current physiological parameter information, and determining whether fatigue driving of the user occurs or not by combining whether the current physiological parameter information of the target user is within a preset physiological parameter range or not and whether the current driving time length is within a reference driving time length range or not in the running process of a vehicle. If at least one condition is met, the target user can be determined to be driving normally; if the current driving state of the target user is fatigue driving, the current driving state of the target user can be judged. The technical scheme of the embodiment of the invention can combine the current physiological parameter information of the target user with the reference driving duration to judge whether the current driving state of the target user is fatigue driving, thereby realizing the judgment of the current state of the user from multiple aspects, reminding the user in time and improving the technical effect of user safety.
For example, when it is detected that the current physiological parameter information is within the preset physiological parameter information range and the current driving time is within the reference driving time range, it may be determined that the user is not driving tired, and at this time, the user may not be reminded, or a raised voice message, such as "you are currently driving safely, good, and the like" may be sent to the user; when the current physiological parameter information is detected to be within the preset physiological parameter information range, and the current driving time is beyond the reference driving time range, the user is reminded of voice information such as rest in time, and the like.
On the basis of the above technical solution, it should be further noted that the head may have a certain movement in the case of normal driving, for example, a swing, a double swing, or a rotation of a circle, but the information of the head movement does not have regularity at this time. However, when the user is tired, the head movement is somewhat regular, optionally the frequency of nodding the head, the frequency of turning the head, etc. Therefore, on the basis of the technical scheme, a detection device for detecting head movement is further arranged, and the detection device is wirelessly connected with the fatigue early warning device and is used for detecting head movement information of the target user and determining whether the target user is tired according to the head movement information. The nine-axis sensor can detect the head movement information of the user, and can detect the conversion of information such as angles and accelerations, so that the nine-axis sensor can be arranged on a hat, an earphone and the like worn by the user. It should be noted that, as long as the head movement information of the user can be detected, the specific setting manner thereof may not be limited. Optionally, during driving of the vehicle, the driver generally wears a bluetooth headset to receive the call in order to avoid the existence of unsafe driving factors, so that the sensor for detecting the head movement information can be integrated into the headset worn by the target user. When a user wears the earphone integrated with the nine-axis sensor, head motion information of the user can be acquired, and optionally, the angle of left-right up-down swinging and the like can be acquired, so that the head motion information of a target user can be used as one of the standards for judging whether the user is tired in driving.
On the basis of the above technical solution, it should be further noted that, in the process of driving the vehicle by the target user, fatigue may occur, so that the fatigue degree of the user can be judged according to the current driving duration and the physiological parameter information of the user. Optionally, the current fatigue level of the target user is determined according to the current driving duration of the target user and the physiological parameter information; determining a target rest duration corresponding to the current fatigue grade according to a mapping relation table of the fatigue grade and the target rest duration established in advance; and acquiring the current rest duration and the target rest duration of the target user, and determining whether the target user can start the vehicle.
Specifically, it can be understood that: before the fatigue driving early warning device is used, a corresponding relation between a fatigue grade and a target rest duration of a target user is established in advance, optionally, the target rest duration corresponding to first-grade fatigue is twenty minutes, the target rest duration corresponding to second-grade fatigue is half an hour and the like, it needs to be stated that the rest is not necessarily sleep, and the rest duration can be non-driving time. When the target user uses the vehicle again, the current rest duration of the target user is obtained, and the relation between the current rest duration and the target rest duration is judged to determine whether the target user can start the vehicle.
The specific determination manner of determining whether the target user can start the vehicle may be: if the rest duration of the target user is larger than or equal to the rest duration in the pre-established mapping relation table, starting the vehicle by the target user; and if the rest duration of the target user is less than the rest duration in the pre-established mapping relation table, the target user cannot start the vehicle.
According to the technical scheme of the embodiment of the invention, whether the target user can start the vehicle is determined by judging whether the current rest time of the target user exceeds the target rest time, and the mode can ensure that the target user can have enough rest time, so that a guarantee is provided for further preventing fatigue driving, and the technical effect of improving the safety of the user is also improved.
On the basis of the above technical solution, whether the target user is fatigue driving can be judged according to the motion information of the vehicle, specifically, a nine-axis sensor is arranged on the steering wheel, and the specific position of the nine-axis sensor on the steering wheel is not limited herein. 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 not driving with fatigue, the road condition can be pre-determined in advance, and corresponding measures are taken according to the pre-determined result, so that the situations that the steering wheel makes a sharp turn and the vehicle speed suddenly decelerates and suddenly accelerates are few, however, when the user is driving with fatigue, the attention of the driver is not concentrated and the thinking is relatively chaotic, the pre-determination is difficult to be made according to the road condition under normal conditions, and the vehicle suddenly accelerates and suddenly decelerates due to the sharp turn of the steering wheel. The motion information of the vehicle can be used as one of the metrics for determining whether the user is driving fatigue. The fatigue driving early warning device also acquires vehicle running information of a user, and can be understood as that a nine-axis sensor arranged on a steering wheel detects motion information of the steering wheel, and determines the current state of a target user according to the motion information of the steering wheel. The method specifically comprises the following steps: within the preset time, optionally, five minutes, the vehicle motion information data detected by a nine-axis sensor arranged on the steering wheel, optionally, whether the data information such as sudden turn, sudden acceleration and sudden deceleration of the steering wheel continuously and repeatedly exceeds the vehicle motion information data range of the target user driving the vehicle under the normal condition, and then the target user can be determined to be fatigue driving, and can be further reminded.
It should be noted that the above factors for determining fatigue driving may be used as a measurement standard for determining fatigue driving of the user, the weight values occupied by each factor are different, and the distribution of the specific weight values may be processed according to the actual situation of the day. For example, when the ambient temperature of the user is 35 ℃ and the driving time of the vehicle is twelve am, the external environment and physiological parameter weight values may be larger at this time, that is, the external environment and physiological parameter weight values may be used as the main measurement criteria.
It should be further noted that the technical solution of the embodiment of the present invention not only can predict the fatigue driving time of the target user in advance, but also can update the fatigue driving time corresponding to the target user in real time according to various parameter information in the process that the target user drives the vehicle, thereby further ensuring the technical effect of the driving safety of the user driving the vehicle.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for determining fatigue driving based on driving behaviors according to a third embodiment of the present invention, where the device includes: an acquire data module 310, a determine duration of fatigue driving module 320, and a determine fatigue driving module 330.
An obtaining data module 310, configured to obtain historical driving data information of a target user and first environment information; the historical driving information comprises historical environment information, wherein the environment information comprises ambient temperature, ambient light and weather; a fatigue driving duration determining module 320, configured to determine a 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; and a fatigue driving determination module 330, configured to determine whether the target user is fatigue driving according to the reference driving duration.
On the basis of the above technical solution, the fatigue driving duration determining module 320 is further configured to: and in the driving process of the target user, obtaining second environment information of the current vehicle, and updating the reference driving time according to the second environment information.
On the basis of the above technical solutions, the apparatus further includes: a facial image acquisition module to acquire facial information of a user based on the facial image acquisition module and to store driving data of the user corresponding to the facial information in a database.
On the basis of the above technical solutions, before the obtaining the historical driving data information of the target user, the obtaining data module in the apparatus further includes: acquiring current face information of a target user based on a face image acquisition module, and comparing the face information of the target user with face information stored in a database; and determining the historical driving data information of the target user according to the comparison result.
On the basis of the above technical solutions, the apparatus further includes: and acquiring the current physiological parameter information of the target user based on a physiological parameter detection module, wherein the physiological parameter information comprises the blood oxygen concentration, the heart rate, the pulse wave, the blood pressure and the electroencephalogram information of the user.
On the basis of the above technical solutions, after the module for detecting physiological parameters acquires the current physiological parameter information of the target user, the apparatus further includes: and correcting the reference driving time according to the current physiological parameter information.
On the basis of the above technical solutions, the fatigue driving determination module is further configured to: if the current driving time length of the target user is less than or equal to the reference driving time length, judging that the target user is in normal driving; and if the current driving time of the target user is longer than the reference driving time, judging that the target user is fatigue driving, and reminding the target user.
On the basis of the above technical solutions, the apparatus is further configured to: judging the current fatigue level of the target user according to the current driving duration of the target user and the physiological parameter information; determining a target rest duration corresponding to the current fatigue grade according to a mapping relation table of the fatigue grade and the target rest duration established in advance; and acquiring the current rest duration and the target rest duration of the target user, and determining whether the target user can start the vehicle.
On the basis of the above technical solutions, the obtaining of the current rest duration of the target user, and determining whether the target user can start the vehicle according to a pre-established rest duration mapping relationship table corresponding to the fatigue level and the target user includes: if the rest duration of the target user is larger than or equal to the rest duration in the pre-established mapping relation table, starting the vehicle by the target user; and if the rest duration of the target user is less than the rest duration in the pre-established mapping relation table, the target user cannot start the vehicle.
According to the technical scheme of the embodiment of the invention, historical driving data information and first environment information of a target user are acquired; the historical driving information comprises historical environment information, the environment information comprises environment temperature, ambient light and weather, the fatigue driving time of the target user is determined according to the historical driving data information and the first environment information, the fatigue driving time is used as a reference driving time, and whether the target user is fatigue driving is determined according to the reference driving time. Solves the problems that no matter the facial image acquisition module is adopted to continuously acquire the facial image information of the target user in the prior art, whether the target user is tired or not is determined according to the pupil information and the blink frequency information in the face image information, or whether the target user is tired or not is determined according to the head movement information of the user, whether the target user is tired or not is determined in the process that the target user drives a vehicle, therefore, the technical problem that the target user is sleepy when the fatigue of the target user is detected, and the prompt of the target user is ineffective at the moment can be solved, the reference driving time length of the target user can be predicted in advance, and judges whether the current driving time period is within the range of the reference driving time period or not in the process that the target user drives the vehicle to run, and then remind the user to improve the technical effect that the user drives the safety and reliability of the vehicle.
The device for judging fatigue driving based on driving behaviors, provided by the embodiment of the invention, can execute the method for judging fatigue driving based on driving behaviors, provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, the units and modules included in the apparatus are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiment of the invention.
Example four
Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary device 40 suitable for use in implementing embodiments of the present invention. The device 40 shown in fig. 4 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention.
As shown in FIG. 4, device 40 is embodied in a general purpose computing device. The components of 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 that couples the various system components (including the system memory 402 and the processing unit 401).
The 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, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 403 by one or more data media interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the 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 of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The processing unit 401 executes various functional applications and data processing by executing programs stored in the system memory 402, and implements, for example, a method of determining fatigue driving based on driving behavior, which is provided by an embodiment of the present invention.
EXAMPLE five
Fifth, an embodiment of the present invention also provides a storage medium containing computer-executable instructions that, when executed by a computer processor, perform a method for determining fatigue driving based on driving behavior.
Computer storage media for embodiments of the invention may employ 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 electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection 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 for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. 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 the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (4)
1. A method of determining fatigue driving based on driving behavior, comprising:
acquiring historical driving data information and first environment information of a target user; the historical driving information comprises historical environment information and data information of a historical driving vehicle, wherein the environment information comprises an environment temperature, an environment light and weather;
determining the fatigue driving time length of the target user according to the historical driving data information and the first environment information, and taking the fatigue driving time length as a reference driving time length, wherein the method comprises the following steps: in the driving process of the target user, obtaining second environment information of a vehicle at present, and updating the reference driving time length according to the second environment information;
determining whether the target user is fatigue driving according to the reference driving time length;
acquiring face information of a user based on a face image acquisition module and storing driving data of the user corresponding to the face information in a database;
acquiring current face information of a target user based on a face image acquisition module, and comparing the face information of the target user with face information stored in a database;
determining historical driving data information of the target user according to the comparison result;
acquiring current physiological parameter information of the target user based on a physiological parameter detection module, wherein the physiological parameter information comprises blood oxygen concentration, heart rate, pulse wave, blood pressure and electroencephalogram information of the user;
after the module for detecting based on physiological parameters acquires the current physiological parameter information of the target user, the method further comprises the following steps:
correcting the reference driving time length according to the current physiological parameter information;
judging the current fatigue level of the target user according to the current driving duration of the target user and the physiological parameter information;
determining a target rest duration corresponding to the current fatigue grade according to a mapping relation table of the fatigue grade and the target rest duration established in advance;
and acquiring the current rest duration and the target rest duration of the target user, and determining whether the target user can start the vehicle.
2. The method of claim 1, wherein the determining whether the target user is driving fatigue based on the reference driving duration comprises:
if the current driving time length of the target user is less than or equal to the reference driving time length, judging that the target user is in normal driving;
and if the current driving time of the target user is longer than the reference driving time, judging that the target user is fatigue driving, and reminding the target user.
3. The method according to claim 1, wherein the obtaining of the current rest duration of the target user and the determining whether the target user can start the vehicle according to the pre-established rest duration mapping relation table corresponding to the fatigue level and the target user comprises:
if the rest duration of the target user is larger than or equal to the rest duration in the pre-established mapping relation table, starting the vehicle by the target user;
and if the rest duration of the target user is less than the rest duration in the pre-established mapping relation table, the target user cannot start the vehicle.
4. An apparatus for determining fatigue driving based on driving behavior, characterized by comprising:
the acquisition data module is used for acquiring historical driving data information and first environment information of a target user; the historical driving information comprises historical environment information, wherein the environment information comprises ambient temperature, ambient light and weather;
a fatigue driving time length determining module, configured to determine a fatigue driving time length of the target user according to the historical driving data information and the first environment information, and use the fatigue driving time length as a reference driving time length, where the fatigue driving time length determining module includes: in the driving process of the target user, obtaining second environment information of a vehicle at present, and updating the reference driving time length according to the second environment information;
the fatigue driving determining module is used for determining whether the target user is in fatigue driving according to the reference driving time length;
acquiring face information of a user based on a face image acquisition module and storing driving data of the user corresponding to the face information in a database;
acquiring current face information of a target user based on a face image acquisition module, and comparing the face information of the target user with face information stored in a database;
determining historical driving data information of the target user according to the comparison result;
acquiring current physiological parameter information of the target user based on a physiological parameter detection module, wherein the physiological parameter information comprises blood oxygen concentration, heart rate, pulse wave, blood pressure and electroencephalogram information of the user;
after the module for detecting based on physiological parameters acquires the current physiological parameter information of the target user, the method further comprises the following steps:
correcting the reference driving time length according to the current physiological parameter information;
judging the current fatigue level of the target user according to the current driving duration of the target user and the physiological parameter information;
determining a target rest duration corresponding to the current fatigue grade according to a mapping relation table of the fatigue grade and the target rest duration established in advance;
and acquiring the current rest duration and the target rest duration of the target user, and determining whether the target user can start the vehicle.
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