Fatigue driving detection method and device

Abstract

The invention provides a fatigue driving detection method and device, and relates to the technical field of intelligent automobiles. The method comprises the steps that when it is detected that a vehicle driving state meets a preset condition, gesture information and seat pressure information of a driver are obtained; the gesture information represents a state of holding a steering wheel by hands when the driver drives; the seat pressure information represents the posture of the driver; determining a first level of the gesture information; determining a second grade of the seat pressure information; and determining the fatigue driving degree of the driver based on the first grade and the second grade. According to the fatigue driving detection method and device provided by the invention, accurate detection of fatigue driving can be realized.

Description

Technical Field

[0001] The present application relates to the field of intelligent vehicle technology, and in particular to a method and device for detecting fatigue driving. Background Art

[0002] Fatigue driving detection technology is an important safety technology. By comprehensively using multiple methods to monitor the driver's status in real time, the driver's fatigue driving degree can be detected in time, so that corresponding measures can be taken. By applying fatigue driving detection technology, the risk of traffic accidents caused by driver fatigue can be significantly reduced, and the lives of drivers and passengers can be protected. At the same time, this technology also helps to improve the driver's driving experience and comfort, and reduce fatigue caused by long-term driving. However, the accuracy of current fatigue driving detection methods is poor. Therefore, it is urgent to provide a new fatigue driving detection method. Summary of the invention

[0003] The present application provides a method and device for detecting fatigue driving, which are used to solve the defect of poor accuracy of fatigue driving detection methods in the prior art and achieve accurate detection of fatigue driving.

[0004] In a first aspect, the present application provides a method for detecting fatigue driving, comprising:

[0005] When it is detected that the driving state of the vehicle meets the preset conditions, the driver's gesture information and seat pressure information are obtained; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0006] determining a first level of the gesture information; and determining a second level of the seat pressure information;

[0007] The driver's driving fatigue degree is determined based on the first level and the second level.

[0008] Optionally, the gesture information includes contact time information and gesture change information; the contact time information indicates the length of time the driver holds the steering wheel within a preset time range; the gesture change information indicates the direction change information of the steering wheel when the driver holds the steering wheel within the preset time range;

[0009] The determining the first level of the gesture information includes:

[0010] The first level is determined based on the contact time information and the gesture change information.

[0011] Optionally, the seat pressure information includes at least one of waist pressure information and head pressure information; and the second level includes at least one of the level of the waist pressure information and the level of the head pressure information.

[0012] Optionally, the method for detecting fatigue driving further includes:

[0013] Obtain the driver's physical index information;

[0014] Determining a third level of the physical indicator information;

[0015] The determining the driver's driving fatigue degree based on the first level and the second level includes:

[0016] The fatigue driving degree is determined based on the first level, the second level, and the third level.

[0017] Optionally, the body index information is body temperature information or heart rate information; the third level is the level of the body temperature information or the level of the heart rate information;

[0018] The determining of the third level of the physical indicator information comprises:

[0019] Obtain the driver's physical index information baseline when he is not fatigued;

[0020] Determining the degree of deviation of the physical indicator information from the physical indicator information baseline;

[0021] Based on the degree of deviation, the third level is determined.

[0022] Optionally, determining the driving fatigue degree based on the first level, the second level, and the third level includes:

[0023] Determine a first weight of the gesture information; determine a second weight of the seat pressure information; and determine a third weight of the body index information;

[0024] multiplying the first level by the first weight to obtain a first product; and determining a second product based on the second level and the second weight; and multiplying the third level by the third weight to obtain a third product;

[0025] Adding the first product, the second product and the third product to obtain a sum value;

[0026] Based on the summed value, the fatigue driving degree is determined.

[0027] Optionally, the method for detecting fatigue driving further includes:

[0028] Based on the degree of fatigue driving, fatigue driving treatment measures are determined; the fatigue driving treatment measures include automatic driving measures, air conditioning control measures, ventilation measures, window control measures, fragrance control measures, seat massage measures, wearable device measures and rescue measures.

[0029] In a second aspect, the present application also provides a fatigue driving detection device, comprising:

[0030] An acquisition module, used to acquire the driver's gesture information and seat pressure information when it is detected that the vehicle driving state meets the preset conditions; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0031] A first determination module, configured to determine a first level of the gesture information; and determine a second level of the seat pressure information;

[0032] The second determination module is used to determine the driver's driving fatigue level based on the first level and the second level.

[0033] In a third aspect, the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in the first aspect when executing the computer program.

[0034] In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0035] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which implements the method described in the first aspect when executed by a processor.

[0036] The fatigue driving detection method and device provided in the present application can accurately judge the driver's fatigue driving degree by acquiring gesture information and seat pressure information and determining the levels of gesture information and seat pressure information, so as to facilitate the adoption of reasonable measures to deal with safety risks, significantly reduce the risk of traffic accidents caused by driver fatigue, and ensure the life safety of the driver and passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0038] Figure 1 It is a flowchart of a method for detecting fatigue driving provided in an embodiment of the present application;

[0039] Figure 2 is a schematic diagram of the structure of a fatigue driving detection device provided in an embodiment of the present application;

[0040] Figure 3 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] Figure 1 Schematic diagram of the process of detecting fatigue driving provided by the embodiment of the present application. Figure 1 The embodiment of the present application provides a method for detecting fatigue driving, the execution subject of which may be an electronic device, for example, a controller. The following description is made by taking the execution subject of the method as an example. The method may include:

[0043] Step 110: when it is detected that the driving state of the vehicle meets the preset conditions, the driver's gesture information and seat pressure information are obtained; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0044] Step 120, determining a first level of gesture information; and determining a second level of seat pressure information;

[0045] Step 130: Determine the driver's driving fatigue level based on the first level and the second level.

[0046] This application is mainly aimed at fatigue driving detection under high-speed driving conditions. In step 110, the controller can sense the vehicle speed based on the acceleration sensor of the wearable device. When the driving speed is greater than a preset threshold (for example: 80km / h), it can be judged that the vehicle's driving state is a high-speed driving state, and the high-speed driving state meets the preset conditions. At this time, the controller can sense the relative position between the driver and the steering wheel based on the gyroscope sensor of the wearable device, and then determine the gesture information through the posture algorithm. When driving fatigued, there may be bad sitting postures such as hunching over, leaning forward on the table, and lowering the head or tilting to one side. The controller can obtain seat pressure information through a seat with a pressure sensor. Specifically, the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture.

[0047] In step 120 , the larger the values ​​of the first level and the second level are, the more serious the driver's fatigue driving level is.

[0048] In step 130 , the controller may determine the driver's fatigue driving score through the first level and the second level, and then determine the driver's fatigue driving degree based on the size of the score.

[0049] The fatigue driving detection method provided in the embodiment of the present application determines the driver's fatigue driving degree by acquiring gesture information and seat pressure information and determining the levels of gesture information and seat pressure information. This can accurately judge the driver's fatigue driving degree, facilitate the adoption of reasonable measures to deal with safety risks, significantly reduce the risk of traffic accidents caused by driver fatigue, and ensure the life safety of the driver and passengers.

[0050] In one embodiment, the gesture information includes contact time information and gesture change information; the contact time information indicates the length of time the driver holds the steering wheel within a preset time range; the gesture change information indicates the direction change information of the steering wheel when the driver holds the steering wheel within a preset time range; determining the first level of the gesture information includes: determining the first level based on the contact time information and the gesture change information.

[0051] The controller can determine the first level of gesture information based on the contact time information and the gesture change information. The preset time range can be 1 minute. Specifically, the first level can include 5 levels: Gesture1-5 (i.e., levels 1-5, hereinafter referred to as G1-G5). G5: The driver's hands are off the steering wheel for more than 10 seconds, G4: The driver's hands are off the steering wheel for a short time, G3: The driver holds the steering wheel for 1 minute without change, G2: The driver changes the steering wheel quickly, G1: The driver does not have the above G2, G3, G4, G5 actions.

[0052] The fatigue driving detection method provided in the embodiment of the present application determines the first level through contact time information and gesture change information, clarifies the impact of gesture information on the driver's fatigue driving, facilitates accurate judgment of the driver's fatigue driving degree, and facilitates the adoption of reasonable measures to deal with safety risks, thereby ensuring the life safety of the driver and passengers.

[0053] In one embodiment, the seat pressure information includes at least one of waist pressure information and head pressure information; and the second level includes at least one of the level of waist pressure information and the level of head pressure information.

[0054] The controller can sense the driver's current sitting position by detecting the pressure in the lumbar and head areas of the seat. The levels of lumbar pressure information are: within 1 minute, when there is no lumbar pressure, it is defined as PC1 (level 1), when there is occasional lumbar pressure, it is defined as PC2 (level 2), and when there is continuous lumbar pressure, it is defined as PC3 (level 3). The levels of head pressure information are: within 1 minute, when there is occasional head pressure, it is defined as PT2 (level 2), when there is continuous head pressure, it is defined as PT3 (level 3), and when there is no head pressure, it is defined as PT1 (level 1).

[0055] The fatigue driving detection method provided in the embodiment of the present application determines the second level by acquiring the waist pressure information and the head pressure information, clarifies the impact of the seat pressure information on the driver's fatigue driving, facilitates accurate judgment of the driver's fatigue driving degree, and facilitates taking reasonable measures to deal with safety risks, thereby ensuring the life safety of the driver and passengers.

[0056] In one embodiment, the method for detecting fatigue driving also includes: obtaining the driver's physical index information; determining the third level of the physical index information; determining the driver's fatigue driving degree based on the first level and the second level, including: determining the fatigue driving degree based on the first level, the second level and the third level.

[0057] The controller can sense the driver's physical index information based on the photoelectric sensor of the wearable device and determine the third level of the physical index information.

[0058] Further, in one embodiment, the physical indicator information is body temperature information or heart rate information; the third level is the level of body temperature information or the level of heart rate information; determining the third level of the physical indicator information includes: obtaining a physical indicator information baseline of the driver in a non-fatigue driving state; determining the degree of deviation of the physical indicator information from the physical indicator information baseline; and determining the third level based on the degree of deviation.

[0059] Body temperature information and heart rate information usually have a certain correlation, and the body index information can be body temperature information or heart rate information. The third level can be the level of body temperature information or the level of heart rate information.

[0060] The controller can sense the driver's heart rate and body temperature based on the photoelectric sensor of the wearable device, and obtain heart rate information and body temperature information. Heart rate and body temperature are mainly used to judge the mental state of the human body. Generally speaking, normal body temperature is between 36°C and 37°C. Excluding factors such as infection and disease, a long period of fatigue may cause a slight drop in body temperature, such as below 36°C. However, this temperature change is usually very small, making it difficult to accurately measure and accurately judge the degree of fatigue. To relatively accurately judge fatigue with the help of body temperature, continuous and regular body temperature monitoring is required, combined with the individual's basal body temperature and daily body temperature fluctuations.

[0061] When taking the level of body temperature information at the third level, the controller can obtain the driver's body temperature baseline in a non-fatigue driving state, that is, the body index information baseline, and determine the driver's body temperature range at different times of the day under normal conditions. If in the case of continuous fatigue, the body temperature will deviate significantly from the normal body temperature baseline. The third level can be determined by determining the degree of deviation between the body temperature information and the body index information baseline. The present application can divide the third level into 3 grades: Temperature1 (Level 1): The first deviation degree is zero, Temperature2 (Level 2): ​​The first deviation degree is greater than 10% and less than 20%, Temperature3 (Level 3): The first deviation degree is greater than 20%.

[0062] Under normal circumstances, the human body will feel tired after a certain intensity of activity, and the heart rate will usually increase at this time. When in a state of fatigue for a long time, the balance of the autonomic nervous system may be broken. The autonomic nervous system is divided into sympathetic nerves and parasympathetic nerves. Sympathetic nerve excitement will increase the heart rate, while parasympathetic nerve excitement will slow down the heart rate. Long-term fatigue may cause the sympathetic nerves to be in a state of continuous excitement, making the heart rate continuously high, but the human body's resting heart rate level is often low. In short, fatigue and heart rate affect each other, and monitoring changes in heart rate can reflect the degree of fatigue to a certain extent. When taking the level of heart rate information in the third level, the third level can be divided into 3 levels: R1 (level 1): the second deviation degree is zero, R2 (level 2): ​​the second deviation degree is positive, the heart rate is high, and it is in a state of mild fatigue, R3 (level 3): the second deviation degree is negative, the heart rate is low, and it is in a resting state.

[0063] The fatigue driving detection method provided in the embodiment of the present application determines the second level by obtaining body temperature information and heart rate information, clarifies the impact of physical indicator information on the driver's fatigue driving, facilitates accurate judgment of the driver's fatigue driving degree, and facilitates taking reasonable measures to deal with safety risks, thereby ensuring the life safety of the driver and passengers.

[0064] In one embodiment, the degree of driving fatigue is determined based on the first level, the second level, and the third level, including: determining a first weight of the gesture information; and determining a second weight of the seat pressure information; and determining a third weight of the body index information; multiplying the first level by the first weight to obtain a first product; and based on the second level and the second weight, determining a second product; and multiplying the third level by the third weight to obtain a third product; adding the first product, the second product, and the third product to obtain a sum value; and determining the degree of driving fatigue based on the sum value.

[0065] The first weight, the second weight and the third weight are determined based on the correlation between the gesture information, the body index information and the seat pressure information and the fatigue driving.

[0066] Specifically, when the seat pressure information includes waist pressure information, the level of the waist pressure information and the weight of the waist pressure information are multiplied to obtain the second product. When the seat pressure information includes waist pressure information and head pressure information, the product of the level of the waist pressure information and the weight of the waist pressure information is added to the product of the level of the head pressure information and the weight of the head pressure information to obtain the second product.

[0067] For example, the first level of gesture information is level 2, and the first weight of gesture information is 2, then the first product is 4; in the second level, the level of waist pressure information is level 2, and the level of head pressure information is level 3. In the second weight, the weight of waist pressure information and the weight of head pressure information are both 1, then the second product is 5; the third level is the level of body temperature information, level 1, and the third weight is the weight of body temperature information is 2, then the third product is 2. Add the first product, the second product and the third product to get a sum of 11. Based on the sum of 11, the degree of fatigue driving can be determined. For example, when the sum is 9-11, the degree of fatigue driving is level 2.

[0068] In particular, when the first level is level 5, the second level and the third level are both level 3, and the second level includes the level of waist pressure information and the level of head pressure information, the sum value is the highest, which is 22.

[0069] The fatigue driving detection method provided in the embodiment of the present application determines the driver's fatigue driving degree through the first level, the second level, the second weight and the third level. It can accurately judge the driver's fatigue driving degree, facilitate the adoption of reasonable measures to deal with safety risks, significantly reduce the risk of traffic accidents caused by driver fatigue, and ensure the life safety of the driver and passengers.

[0070] In one embodiment, the fatigue driving detection method also includes: determining fatigue driving treatment measures based on the degree of fatigue driving; the fatigue driving treatment measures include automatic driving measures, air conditioning control measures, ventilation measures, window control measures, fragrance control measures, seat massage measures, wearable device measures and rescue measures.

[0071] Specifically, the fatigue driving degree corresponding to the sum value can be divided into 6 levels, Tired1 to Tired6. The fatigue driving degree corresponding to the sum value and the fatigue driving treatment measures corresponding to the fatigue driving degree are shown in the following table:

[0072]

[0073]

[0074] Among them, air conditioning cooling start is an air conditioning control measure, wearable vibration reminder is a wearable device measure, external circulation ventilation is a ventilation measure, wearable device music start is a wearable device measure, fragrance start is a fragrance control measure, seat massage is a seat massage measure, ventilation start is a ventilation measure, automatic driving intervention is an automatic driving measure, and window opening and sunroof opening are window control measures.

[0075] In particular, when the driver is driving fatigued to a high degree, the controller can also take measures to seek help, such as making a distress call.

[0076] The fatigue driving detection method provided in the embodiment of the present application adopts different fatigue driving treatment measures according to different degrees of fatigue driving, which helps to improve the driver's driving experience and comfort and reduce the fatigue caused by long-term driving.

[0077] Based on the description of the above embodiments, this application combines various sensors on existing hardware devices (wearable devices) and uses Bluetooth interconnection to share data among smart seats, wearable devices, and vehicle computers, and to interoperate hardware. The degree of fatigue driving is determined based on the data of wearable devices and the seat pressure information of smart seats, and corresponding fatigue driving treatment measures are implemented, ultimately achieving safe driving and protecting the lives of drivers and passengers and vehicle safety.

[0078] The fatigue driving detection device provided in the present application is described below. The fatigue driving detection device described below and the fatigue driving detection method described above can be referenced to each other.

[0079] Figure 2 Schematic diagram of the structure of the fatigue driving detection device provided in the embodiment of the present application. Figure 2 The fatigue driving detection device provided in the embodiment of the present application may include:

[0080] The acquisition module 210 is used to acquire the driver's gesture information and seat pressure information when it is detected that the vehicle driving state meets the preset conditions; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0081] A first determination module 220, configured to determine a first level of the gesture information; and determine a second level of the seat pressure information;

[0082] The second determination module 230 is configured to determine the driver's driving fatigue level based on the first level and the second level.

[0083] The fatigue driving detection device provided in the embodiment of the present application determines the driver's fatigue driving degree by acquiring gesture information and seat pressure information and determining the levels of gesture information and seat pressure information. It can accurately judge the driver's fatigue driving degree, facilitate the adoption of reasonable measures to deal with safety risks, significantly reduce the risk of traffic accidents caused by driver fatigue, and ensure the life safety of the driver and passengers.

[0084] In one embodiment, the gesture information includes contact time information and gesture change information; the contact time information indicates the length of time the driver holds the steering wheel within a preset time range; the gesture change information indicates the direction change information of the steering wheel when the driver holds the steering wheel within the preset time range;

[0085] The first determining module is specifically used for:

[0086] The first level is determined based on the contact time information and the gesture change information.

[0087] In one embodiment, the seat pressure information includes at least one of waist pressure information and head pressure information; and the second level includes at least one of the level of the waist pressure information and the level of the head pressure information.

[0088] In one embodiment, the first determining module is further configured to:

[0089] Obtain the driver's physical index information;

[0090] Determining a third level of the physical indicator information;

[0091] The second determining module is specifically used for:

[0092] The fatigue driving degree is determined based on the first level, the second level, and the third level.

[0093] In one embodiment, the body index information is body temperature information or heart rate information; the third level is the level of the body temperature information or the level of the heart rate information;

[0094] The first determining module is specifically used for:

[0095] Obtain the driver's physical index information baseline when he is not fatigued;

[0096] Determining the degree of deviation of the physical indicator information from the physical indicator information baseline;

[0097] Based on the degree of deviation, the third level is determined.

[0098] In one embodiment, the second determining module is specifically configured to:

[0099] Determine a first weight of the gesture information; determine a second weight of the seat pressure information; and determine a third weight of the body index information;

[0100] multiplying the first level by the first weight to obtain a first product; and determining a second product based on the second level and the second weight; and multiplying the third level by the third weight to obtain a third product;

[0101] Adding the first product, the second product and the third product to obtain a sum value;

[0102] Based on the summed value, the fatigue driving degree is determined.

[0103] In one embodiment, the second determining module is further configured to:

[0104] Based on the degree of fatigue driving, fatigue driving treatment measures are determined; the fatigue driving treatment measures include automatic driving measures, air conditioning control measures, ventilation measures, window control measures, fragrance control measures, seat massage measures, wearable device measures and rescue measures.

[0105] Specifically, the fatigue driving detection device provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment in which the execution subject is the controller, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those of the method embodiment will not be described in detail here.

[0106] Figure 3 Schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 3As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 communicate with each other through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute the fatigue driving detection method, for example, including:

[0107] When it is detected that the driving state of the vehicle meets the preset conditions, the driver's gesture information and seat pressure information are obtained; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0108] determining a first level of the gesture information; and determining a second level of the seat pressure information;

[0109] The driver's driving fatigue degree is determined based on the first level and the second level.

[0110] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-On l yMemory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0111] On the other hand, the present application also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the fatigue driving detection method provided by the above methods, for example, including:

[0112] When it is detected that the driving state of the vehicle meets the preset conditions, the driver's gesture information and seat pressure information are obtained; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0113] determining a first level of the gesture information; and determining a second level of the seat pressure information;

[0114] The driver's driving fatigue degree is determined based on the first level and the second level.

[0115] In another aspect, the present application further provides a computer program product, the computer program product comprising a computer program, the computer program may be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can execute the steps of the fatigue driving detection method provided by the above methods, for example, including:

[0116] When it is detected that the driving state of the vehicle meets the preset conditions, the driver's gesture information and seat pressure information are obtained; the gesture information indicates the state of the driver holding the steering wheel while driving; the seat pressure information indicates the driver's posture;

[0117] determining a first level of the gesture information; and determining a second level of the seat pressure information;

[0118] The driver's driving fatigue degree is determined based on the first level and the second level.

[0119] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0120] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0121] It should also be noted that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object can be one or more.

[0122] In the embodiments of the present application, the term "and / or" describes the association relationship of the associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0123] "Determine B based on A" in the embodiments of the present application means that the factor A should be considered when determining B. It is not limited to "B can be determined based on A alone", but should also include: "Determine B based on A and C", "Determine B based on A, C and E", "Determine C based on A, and further determine B based on C", etc. In addition, it can also include taking A as a condition for determining B, for example, "When A meets the first condition, use the first method to determine B"; for another example, "When A meets the second condition, determine B", etc.; for another example, "When A meets the third condition, determine B based on the first parameter", etc. Of course, it can also be a condition that takes A as a factor for determining B, for example, "When A meets the first condition, use the first method to determine C, and further determine B based on C", etc.

[0124] In the embodiments of the present application, the term "multiple" refers to two or more than two, and other quantifiers are similar. Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, rather than to limit it; although the present application is described in detail with reference to the aforementioned embodiments, a person of ordinary skill in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents; and these modifications or replacements do not deviate the essence of the corresponding technical solution from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting fatigue driving, characterized in that: include: When it is detected that the vehicle driving state meets the preset conditions, the driver's gesture information and seat pressure information are obtained; The gesture information indicates the state of the driver holding the steering wheel while driving; The seat pressure information indicates the posture of the driver; determining a first level of the gesture information; and determining a second level of the seat pressure information; The driver's fatigue driving degree is determined based on the first level and the second level.

2. The method for detecting fatigue driving according to claim 1, characterized in that: The gesture information includes contact time information and gesture change information; the contact time information indicates the length of time the driver holds the steering wheel within a preset time range; The gesture change information indicates the direction change information of the steering wheel when the driver holds the steering wheel within the preset time range; The determining the first level of the gesture information includes: The first level is determined based on the contact time information and the gesture change information.

3. The method for detecting fatigue driving according to claim 1, characterized in that: The seat pressure information includes at least one of waist pressure information and head pressure information; the second level includes at least one of the level of the waist pressure information and the level of the head pressure information.

4. The method for detecting fatigue driving according to claim 1, characterized in that: Also includes: Obtain the driver's physical index information; Determining a third level of the physical indicator information; The determining the driver's driving fatigue degree based on the first level and the second level includes: The fatigue driving degree is determined based on the first level, the second level, and the third level.

5. The method for detecting fatigue driving according to claim 4, characterized in that: The body index information is body temperature information or heart rate information; The third level is the level of the body temperature information or the level of the heart rate information; The determining of the third level of the physical indicator information comprises: Obtain the driver's physical index information baseline when he is not fatigued; Determining the degree of deviation of the physical indicator information from the physical indicator information baseline; Based on the degree of deviation, the third level is determined.

6. The method for detecting fatigue driving according to claim 4, characterized in that: The determining the driving fatigue degree based on the first level, the second level, and the third level includes: Determine a first weight of the gesture information; determine a second weight of the seat pressure information; and determine a third weight of the body index information; multiplying the first level by the first weight to obtain a first product; and determining a second product based on the second level and the second weight; and multiplying the third level by the third weight to obtain a third product; Adding the first product, the second product and the third product to obtain a sum value; Based on the summed value, the fatigue driving degree is determined.

7. The method for detecting fatigue driving according to any one of claims 1 to 6, characterized in that: Also includes: Determining a fatigue driving treatment measure based on the fatigue driving degree; The fatigue driving treatment measures include automatic driving measures, air conditioning control measures, ventilation measures, window control measures, fragrance control measures, seat massage measures, wearable device measures and rescue measures.

8. A fatigue driving detection device, characterized in that: include: An acquisition module, used to acquire the driver's gesture information and seat pressure information when it is detected that the vehicle driving state meets the preset conditions; The gesture information indicates the state of the driver holding the steering wheel while driving; The seat pressure information indicates the posture of the driver; A first determining module, used to determine a first level of the gesture information; and determining a second level of the seat pressure information; The second determination module is used to determine the driver's driving fatigue level based on the first level and the second level.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the fatigue driving detection method as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for detecting fatigue driving as described in any one of claims 1 to 7 is implemented.

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