Fatigue driving detection method and device, equipment, storage medium and program product

Abstract

The invention discloses a fatigue driving detection method, device and equipment, a storage medium and a program product, and belongs to the technical field of automobiles. The average heart rate of the vehicle driver and the average grip strength of the vehicle driver on the steering wheel within a period of time including the current moment are obtained; according to the current angular acceleration, the average heart rate and the average grip strength, whether the vehicle driver conducts fatigue driving or not is determined. According to the method, the fatigue driving state of the vehicle driver is determined based on the data of the angular acceleration of the steering wheel, the grip strength of the steering wheel and the heart rate of the vehicle driver, so that the accuracy of a fatigue driving detection result is improved, traffic accidents caused by fatigue driving are reduced, and the driving safety is improved.

Description

Technical Field

[0001] The present invention relates to the field of automobile technology, and in particular to a fatigue driving detection method, device, equipment, storage medium and program product. Background Art

[0002] Among the causes of traffic accidents, fatigue driving is one of the main causes of many traffic accidents. When driving fatigued, the driver's attention decreases and his reaction is slow, which makes it easy for him to make operational errors and cause driving safety hazards. Therefore, developing an effective fatigue driving detection method is of great significance to reducing traffic accidents.

[0003] Existing fatigue driving detection methods, such as the fatigue driving detection method based on brain waves and the fatigue driving detection method based on video images, mostly judge the fatigue driving status of vehicle drivers based on single data, which is easy to cause misjudgment and affect the accuracy of the detection results. Summary of the invention

[0004] The present invention provides a fatigue driving detection method, device, equipment, storage medium and program product to improve the accuracy of fatigue driving detection results, reduce traffic accidents caused by fatigue driving, and improve driving safety.

[0005] According to one aspect of the present invention, a method for detecting fatigue driving is provided, the method comprising:

[0006] Obtaining the current angular acceleration of the steering wheel rotation at the current moment, and obtaining the average heart rate of the vehicle driver and the average grip force of the vehicle driver on the steering wheel over a period of time including the current moment;

[0007] Whether the vehicle driver is driving fatigued is determined based on the current angular acceleration, average heart rate and average grip strength.

[0008] According to another aspect of the present invention, a fatigue driving detection device is provided, the device comprising:

[0009] A data acquisition module, used to acquire the current angular acceleration of the steering wheel rotation at the current moment, and to acquire the average heart rate of the vehicle driver and the average grip force of the vehicle driver on the steering wheel over a period of time including the current moment;

[0010] The fatigue driving determination module is used to determine whether the vehicle driver is driving in a fatigued state based on the current angular acceleration, average heart rate and average grip strength.

[0011] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0012] at least one processor; and

[0013] a memory communicatively connected to at least one processor; wherein,

[0014] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the fatigue driving detection method of any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the fatigue driving detection method of any embodiment of the present invention when executed by a processor.

[0016] According to another aspect of the present invention, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the computer program implements the fatigue driving detection method of any embodiment of the present invention.

[0017] The technical solution of the embodiment of the present invention determines whether the vehicle driver is driving in fatigue mode by obtaining the current angular acceleration of the steering wheel rotation at the current moment, and obtaining the average heart rate of the vehicle driver and the average grip of the vehicle driver on the steering wheel over a period of time including the current moment; and according to the current angular acceleration, the average heart rate and the average grip, it is determined whether the vehicle driver is driving in fatigue mode. Compared with the method of detecting fatigue driving based on single data, the above technical solution determines the fatigue driving state of the vehicle driver based on data of three aspects: steering wheel angular acceleration, steering wheel grip and vehicle driver's heart rate, thereby improving the accuracy of fatigue driving detection results, thereby reducing traffic accidents caused by fatigue driving and improving driving safety.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 is a flow chart of a fatigue driving detection method provided according to Embodiment 1 of the present invention;

[0021] Figure 2 is a flow chart of a fatigue driving detection method provided according to Embodiment 2 of the present invention;

[0022] Figure 3 is a structural schematic diagram of a fatigue driving detection device provided according to Embodiment 3 of the present invention;

[0023] Figure 4 It is a schematic diagram of the structure of an electronic device for implementing the fatigue driving detection method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "candidate", "target", "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] In addition, it should be noted that in the technical solution of the present invention, the collection, storage, use, processing, transmission, provision and disclosure of the angular acceleration threshold, standard heart rate and standard steering wheel grip involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0027] Embodiment 1

[0028] Figure 1 This is a flowchart of a fatigue driving detection method provided in the first embodiment of the present invention. This embodiment is applicable to the case of detecting the fatigue driving state of a vehicle driver. The method can be performed by a fatigue driving detection device, which can be implemented in the form of hardware and / or software and can be configured in an electronic device with an embedded single-chip STM32 microcontroller. Figure 1 As shown, the method includes:

[0029] S101. Obtain the current angular acceleration of the steering wheel rotation at the current moment, and obtain the average heart rate of the vehicle driver and the average grip strength of the vehicle driver on the steering wheel over a period of time including the current moment.

[0030] Among them, the current angular acceleration refers to the rate of change of the angular velocity of the steering wheel at the current moment. A period of time can be pre-set according to actual business needs. For example, a period of time can be a period of time from time tj to time t, and another example is a period of time from time ti to time t+i. Among them, t is the current moment, j is the total duration of a period of time, and i is half of the total duration j. The average heart rate refers to the average heart rate of the vehicle driver within a period of time including the current moment. Correspondingly, the average grip refers to the average grip of the vehicle driver on the steering wheel within a period of time including the current moment.

[0031] Specifically, the current angular acceleration of the steering wheel rotation at the current moment can be obtained through the angular acceleration sensor installed on the steering wheel; if a period of time including the current moment is denoted as T, the heart rate of the vehicle driver at each moment in the T time period can be obtained through the heart rate sensor installed on the steering wheel, and the obtained heart rates are averaged to obtain the average heart rate of the vehicle driver in the T time period; the vehicle driver's grip on the steering wheel at each moment in the T time period can be obtained through the flexible pressure sensor installed on the steering wheel, and the obtained grip forces are averaged to obtain the average grip force of the vehicle driver on the steering wheel in the T time period.

[0032] It should be noted that before using the sensors (including angular acceleration sensors, heart rate sensors and flexible pressure sensors) installed on the steering wheel, the sensors can be connected to the STM32 microcontroller through the I2C interface (inter-integrated circuit) or the SPI interface (serial peripheral interface), and the interface and the sensor can be configured. For example, for the I2C interface, the communication speed and interface address of the I2C interface can be configured; for the SPI interface, the communication speed and operating mode of the SPI interface can be configured. For the sensor, the operating mode, communication parameters, resolution, filter, correction parameters, measurement range, data reading address, data output format and data output mode of the sensor can be configured. Among them, the STM32 microcontroller can execute the fatigue driving detection method of any embodiment of the present invention. It should also be noted that the data output of the sensor is usually realized through one or more registers, and the data reading address of the sensor is usually the address of the sensor plus an offset.

[0033] S102: Determine whether the vehicle driver is driving in a fatigued state according to the current angular acceleration, average heart rate, and average grip strength.

[0034] Specifically, the current angular acceleration, average heart rate and average grip strength can be input into a pre-trained fatigue driving detection model, and after being processed by the fatigue driving detection model, a detection result of whether the vehicle driver is driving fatigued can be obtained. The fatigue driving detection model can be obtained by training a deep learning model or a machine learning model.

[0035] The technical solution of the embodiment of the present invention determines whether the vehicle driver is driving in fatigue mode by obtaining the current angular acceleration of the steering wheel rotation at the current moment, and obtaining the average heart rate of the vehicle driver and the average grip of the vehicle driver on the steering wheel over a period of time including the current moment; and according to the current angular acceleration, the average heart rate and the average grip, it is determined whether the vehicle driver is driving in fatigue mode. Compared with the method of detecting fatigue driving based on single data, the above technical solution determines the fatigue driving state of the vehicle driver based on data of three aspects: steering wheel angular acceleration, steering wheel grip and vehicle driver's heart rate, thereby improving the accuracy of fatigue driving detection results, thereby reducing traffic accidents caused by fatigue driving and improving driving safety.

[0036] Embodiment 2

[0037] Figure 2 This is a flowchart of a fatigue driving detection method provided in Example 2 of the present invention. Based on the above example, this example further optimizes "determining whether the vehicle driver is driving fatigued based on the current angular acceleration, average heart rate and average grip strength" and provides an optional implementation scheme. It should be noted that for the parts not described in detail in the example of the present invention, reference can be made to the relevant descriptions of other examples. Figure 2 As shown, the method includes:

[0038] S201. Obtain the current angular acceleration of the steering wheel rotation at the current moment, and obtain the average heart rate of the vehicle driver and the average grip strength of the vehicle driver on the steering wheel over a period of time including the current moment.

[0039] S202: Compare the current angular acceleration with the angular acceleration threshold to determine the angular acceleration mark value.

[0040] The angular acceleration threshold can be preset according to actual business requirements or the experience of those skilled in the art, and the embodiment of the present invention does not specifically limit it. The angular acceleration mark value refers to a value used to reflect the relationship between the current angular acceleration and the angular acceleration threshold.

[0041] Specifically, if the current angular acceleration is greater than the angular acceleration threshold, the angular acceleration flag value is 1; if the current angular acceleration is less than or equal to the angular acceleration threshold, the angular acceleration flag value is 0.

[0042] S203: Compare the average heart rate with the standard heart rate to determine the heart rate mark value.

[0043] The standard heart rate refers to a value used to determine the average heart rate; optionally, the standard heart rate can be determined based on the heart rate of the vehicle driver in a non-fatigue driving state. The heart rate mark value refers to a value used to reflect the relationship between the average heart rate and the standard heart rate.

[0044] Specifically, if the average heart rate is greater than the standard heart rate, the heart rate mark value is 1; if the average heart rate is less than or equal to the standard heart rate, the heart rate mark value is 0.

[0045] S204: Compare the average grip strength with the standard steering wheel grip strength to determine a grip strength mark value.

[0046] The standard steering wheel grip refers to a value used to determine the average grip force; optionally, the standard steering wheel grip can be preset according to actual business needs or the experience of those skilled in the art, and the embodiment of the present invention does not specifically limit it. The grip mark value refers to a value used to reflect the relationship between the average grip force and the standard steering wheel grip force.

[0047] Specifically, if the average grip strength is less than the standard steering wheel grip strength, the grip strength mark value is 1; if the average grip strength is greater than or equal to the standard steering wheel grip strength, the grip strength mark value is 0.

[0048] S205: Determine whether the vehicle driver is driving in fatigue according to the angular acceleration mark value, the heart rate mark value, and the grip strength mark value.

[0049] Specifically, if the values ​​of at least two of the angular acceleration mark value, the heart rate mark value, and the grip strength mark value are 1, it is determined that the vehicle driver is driving in fatigue; otherwise, it is determined that the vehicle driver is not driving in fatigue.

[0050] More specifically, if the angular acceleration mark value is 1, the heart rate mark value is 1, and the grip strength mark value is 1, it is determined that the vehicle driver is driving while fatigued; if the angular acceleration mark value is 1, the heart rate mark value is 1, and the grip strength mark value is 0, it is determined that the vehicle driver is driving while fatigued; if the angular acceleration mark value is 1, the heart rate mark value is 0, and the grip strength mark value is 1, it is determined that the vehicle driver is driving while fatigued; if the angular acceleration mark value is 0, the heart rate mark value is 1, and the grip strength mark value is 1, it is determined that the vehicle driver is driving while fatigued; if the angular acceleration mark value is 0, the heart rate mark value is 0, and the grip strength mark value is 1, it is determined that the vehicle driver is not driving while fatigued; if the angular acceleration mark value is 0, the heart rate mark value is 1, and the grip strength mark value is 0, it is determined that the vehicle driver is not driving while fatigued; if the angular acceleration mark value is 1, the heart rate mark value is 0, and the grip strength mark value is 0, it is determined that the vehicle driver is not driving while fatigued; if the angular acceleration mark value is 0, the heart rate mark value is 0, and the grip strength mark value is 0, it is determined that the vehicle driver is not driving while fatigued.

[0051] The technical solution of the embodiment of the present invention obtains the current angular acceleration of the steering wheel rotation at the current moment, and obtains the average heart rate of the vehicle driver and the average grip of the vehicle driver on the steering wheel within a period of time including the current moment; compares the current angular acceleration with the angular acceleration threshold to determine the angular acceleration mark value; compares the average heart rate with the standard heart rate to determine the heart rate mark value; compares the average grip with the standard steering wheel grip to determine the grip mark value; and determines whether the vehicle driver is driving in fatigue according to the angular acceleration mark value, the heart rate mark value and the grip mark value. Compared with the method of fatigue driving detection based on single data, the above technical solution determines the fatigue driving state of the vehicle driver based on three aspects of data, namely, steering wheel angular acceleration, steering wheel grip and vehicle driver's heart rate, thereby improving the accuracy of fatigue driving detection results, thereby reducing traffic accidents caused by fatigue driving and improving driving safety.

[0052] On the basis of the above-mentioned embodiment, as an optional method of the embodiment of the present invention, it is also possible to: after determining that the vehicle driver is driving fatigued, obtain the current heart rate of the vehicle driver and the current steering wheel grip of the vehicle driver at the current moment; determine the target fatigue level according to the current angular acceleration, the current heart rate and the current steering wheel grip; and issue a warning according to the target fatigue level.

[0053] The current heart rate refers to the heart rate of the vehicle driver at the current moment. The current steering wheel grip refers to the grip of the vehicle driver on the steering wheel at the current moment.

[0054] Specifically, after determining that the vehicle driver is driving fatigued, the current heart rate of the vehicle driver at the current moment can be obtained through the heart rate sensor installed on the steering wheel, and the current steering wheel grip of the vehicle driver at the current moment can be obtained through the flexible pressure sensor installed on the steering wheel; the absolute value of the difference between the current angular acceleration and the angular acceleration threshold is calculated as the first absolute value; the absolute value of the difference between the current heart rate and the standard heart rate is calculated as the second absolute value; the absolute value of the difference between the current steering wheel grip and the standard steering wheel grip is calculated as the third absolute value; based on the fatigue level classification table, the candidate Select the correspondence between the corner acceleration fluctuation range, the candidate heart rate change range and the candidate steering wheel grip change range, and the candidate fatigue levels, and determine the target fatigue level from the fatigue level classification table according to the first absolute value, the second absolute value and the third absolute value; and make different degrees of warnings according to the target fatigue level. For example, if the target fatigue level is mild fatigue, a mild warning can be issued to the vehicle driver in the form of voice broadcast; if the target fatigue level is severe fatigue, a severe warning can be issued to the vehicle driver in the form of physical stimulation, and the emergency braking mechanism can be triggered to slow down the vehicle and ensure driving safety.

[0055] Among them, the fatigue level classification table can be pre-set according to actual business needs and experimental experience, and the embodiments of the present invention do not specifically limit it. The candidate angular acceleration fluctuation range refers to the angular acceleration fluctuation range pre-set in the fatigue level classification table. The candidate heart rate change range refers to the heart rate change range pre-set in the fatigue level classification table. The candidate steering wheel grip force change range refers to the steering wheel grip force change range pre-set in the fatigue level classification table. The candidate fatigue level refers to the fatigue level pre-set in the fatigue level classification table.

[0056] Among them, based on the correspondence between the candidate angular acceleration fluctuation range, the candidate heart rate variation range and the candidate steering wheel grip force variation range in the fatigue level classification table and the candidate fatigue levels, the target fatigue level is determined from the fatigue level classification table according to the first absolute value, the second absolute value and the third absolute value, which can be: matching the first absolute value with the candidate angular acceleration fluctuation range in the fatigue level classification table, and using the successfully matched candidate angular acceleration fluctuation range as the target angular acceleration fluctuation range; matching the second absolute value with the candidate heart rate variation range in the fatigue level classification table, and using the successfully matched candidate heart rate variation range as the target heart rate variation range; matching the third absolute value with the candidate steering wheel grip force variation range in the fatigue level classification table, and using the successfully matched candidate steering wheel grip force variation range as the target steering wheel grip force variation range; based on the correspondence between the candidate angular acceleration fluctuation range, the candidate heart rate variation range and the candidate steering wheel grip force variation range in the fatigue level classification table and the candidate fatigue levels, according to the target angular acceleration fluctuation range, the target heart rate variation range and the target steering wheel grip force variation range, the target fatigue level is determined from the fatigue level classification table.

[0057] It can be understood that after determining that the vehicle driver is driving fatigued, the target fatigue level is determined based on the current angular acceleration, current heart rate and current steering wheel grip; and based on the target fatigue level, a warning is issued, thereby realizing warnings of vehicle drivers with different degrees of fatigue driving, reducing traffic accidents caused by fatigue driving, and improving driving safety.

[0058] Embodiment 3

[0059] Figure 3 This is a schematic diagram of the structure of a fatigue driving detection device provided in the third embodiment of the present invention. This embodiment can be applied to the case of detecting the fatigue driving state of a vehicle driver. The device can be implemented in the form of hardware and / or software and can be configured in an electronic device with an embedded single-chip STM32 microcontroller. Figure 3 As shown, the device comprises:

[0060] The data acquisition module 301 is used to acquire the current angular acceleration of the steering wheel rotation at the current moment, and acquire the average heart rate of the vehicle driver and the average grip force of the vehicle driver on the steering wheel within a period of time including the current moment;

[0061] The fatigue driving determination module 302 is used to determine whether the vehicle driver is driving in a fatigued state according to the current angular acceleration, average heart rate and average grip strength.

[0062] The technical solution of the embodiment of the present invention determines whether the vehicle driver is driving in fatigue mode by obtaining the current angular acceleration of the steering wheel rotation at the current moment, and obtaining the average heart rate of the vehicle driver and the average grip of the vehicle driver on the steering wheel over a period of time including the current moment; and according to the current angular acceleration, the average heart rate and the average grip, it is determined whether the vehicle driver is driving in fatigue mode. Compared with the method of detecting fatigue driving based on single data, the above technical solution determines the fatigue driving state of the vehicle driver based on data of three aspects: steering wheel angular acceleration, steering wheel grip and vehicle driver's heart rate, thereby improving the accuracy of fatigue driving detection results, thereby reducing traffic accidents caused by fatigue driving and improving driving safety.

[0063] Optionally, the fatigue driving determination module 302 includes:

[0064] An angular acceleration mark value determining unit, used for comparing the current angular acceleration with the angular acceleration threshold value to determine the angular acceleration mark value;

[0065] a heart rate mark value determination unit, used for comparing the average heart rate with the standard heart rate to determine the heart rate mark value;

[0066] a grip force mark value determination unit, used for comparing the average grip force with the standard steering wheel grip force to determine the grip force mark value;

[0067] The fatigue driving determination unit is used to determine whether the vehicle driver is driving in a fatigue state according to the angular acceleration mark value, the heart rate mark value and the grip strength mark value.

[0068] Optionally, a fatigue driving determination unit is used to:

[0069] If the values ​​of at least two of the angular acceleration mark value, the heart rate mark value, and the grip strength mark value are 1, it is determined that the vehicle driver is driving in fatigue.

[0070] Optionally, the device further includes a fatigue driving warning module, wherein the fatigue driving warning module is specifically used to:

[0071] After determining that the vehicle driver is driving fatigued, obtaining the current heart rate of the vehicle driver and the current steering wheel grip force of the vehicle driver at the current moment;

[0072] Determine the target fatigue level based on the current angular acceleration, the current heart rate and the current steering wheel grip;

[0073] Issue early warning based on target fatigue level.

[0074] The fatigue driving detection device provided in the embodiment of the present invention can execute the fatigue driving detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing each fatigue driving detection method.

[0075] According to an embodiment of the present invention, the present invention also provides an electronic device, a readable storage medium and a computer program product.

[0076] Embodiment 4

[0077] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0078] like Figure 4 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0079] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0080] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a fatigue driving detection method.

[0081] In some embodiments, the fatigue driving detection method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the fatigue driving detection method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the fatigue driving detection method in any other appropriate manner (e.g., by means of firmware).

[0082] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0083] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0084] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0085] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0086] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0087] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0088] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0089] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting fatigue driving, characterized in that: include: Obtaining a current angular acceleration of the steering wheel rotation at the current moment, and obtaining an average heart rate of the vehicle driver and an average grip strength of the vehicle driver on the steering wheel over a period of time including the current moment; It is determined whether the vehicle driver is driving in a fatigued state according to the current angular acceleration, the average heart rate and the average grip strength.

2. The method according to claim 1, characterized in that The determining, based on the current angular acceleration, the average heart rate, and the average grip strength, whether the vehicle driver is driving in fatigued state comprises: Comparing the current angular acceleration with an angular acceleration threshold to determine an angular acceleration mark value; Compare the average heart rate with the standard heart rate to determine a heart rate mark value; comparing the average grip strength with a standard steering wheel grip strength to determine a grip strength marker value; Whether the vehicle driver is driving in a fatigued state is determined according to the angular acceleration mark value, the heart rate mark value and the grip strength mark value.

3. The method according to claim 2, characterized in that The determining whether the vehicle driver is driving in fatigue according to the angular acceleration mark value, the heart rate mark value and the grip strength mark value comprises: If the values ​​of at least two of the angular acceleration mark value, the heart rate mark value, and the grip strength mark value are 1, it is determined that the vehicle driver is driving in fatigue.

4. The method according to claim 1, characterized in that: The method further comprises: After determining that the vehicle driver is driving in fatigue, obtaining the current heart rate of the vehicle driver and the current steering wheel grip force of the vehicle driver at the current moment; determining a target fatigue level according to the current angular acceleration, the current heart rate, and the current steering wheel grip; An early warning is issued according to the target fatigue level.

5. A fatigue driving detection device, characterized in that: include: A data acquisition module, used to acquire the current angular acceleration of the steering wheel rotation at the current moment, and to acquire the average heart rate of the vehicle driver and the average grip force of the vehicle driver on the steering wheel within a period of time including the current moment; The fatigue driving determination module is used to determine whether the vehicle driver is driving in a fatigue state according to the current angular acceleration, the average heart rate and the average grip strength.

6. The device according to claim 5, characterized in that The fatigue driving determination module comprises: an angular acceleration mark value determining unit, configured to compare the current angular acceleration with an angular acceleration threshold value to determine an angular acceleration mark value; a heart rate mark value determining unit, configured to compare the average heart rate with a standard heart rate to determine a heart rate mark value; a grip strength mark value determining unit, configured to compare the average grip strength with a standard steering wheel grip strength to determine a grip strength mark value; The fatigue driving determination unit is used to determine whether the vehicle driver is driving in a fatigue state according to the angular acceleration mark value, the heart rate mark value and the grip strength mark value.

7. The device according to claim 6, characterized in that The fatigue driving determination unit is specifically used for: If the values ​​of at least two of the angular acceleration mark value, the heart rate mark value, and the grip strength mark value are 1, it is determined that the vehicle driver is driving in fatigue.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the fatigue driving detection method according to any one of claims 1 to 4.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the fatigue driving detection method according to any one of claims 1 to 4 when executed.

10. A computer program product, comprising a computer program, wherein the computer program implements the fatigue driving detection method according to any one of claims 1 to 4 when executed by a processor.

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