Method and System for Controlling Vehicle Assisted Driving Function Based on Electromyographic Sensing

Abstract

The present invention discloses a method and system for controlling a vehicle assisted driving function based on myoelectric induction. The method includes the following steps: obtaining the physiological signals of the driver through a myoelectric bracelet; obtaining the mental state of the driver during driving according to the obtained physiological signals of the driver; and controlling and executing different assisted driving strategies according to the obtained mental state of the driver. The method for controlling a vehicle assisted driving function based on myoelectric induction provided by this application obtains the physiological signals of the driver through myoelectric induction, and controls and executes different assisted driving strategies according to the obtained physiological signals, and can flexibly adjust according to the actual feelings of the driver, so that the performance of the assisted driving function meets the expectations of the driver, bringing a satisfactory control experience to the driver.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent assisted driving, and specifically relates to a method and system for controlling vehicle assisted driving functions based on myoelectric induction. Background Art

[0002] The acceleration performance, deceleration performance, steering performance, etc. of automatic or assisted driving functions are all determined based on the parameters calibrated by the vehicle manufacturer at the factory, and cannot autonomously select or adapt corresponding performance parameters according to the driving habits and physiological characteristics of different terminal drivers. The terminal drivers are "thousands of faces", while the assisted driving functions are "unchanged", resulting in either exceeding the driver's tolerance expectations when the assisted driving functions are implemented, bringing fear and nervousness to the driver, or falling short of the driver's expectations, with too slow acceleration / deceleration, affecting the driver's driving experience. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the above background art and provide a method and system for controlling vehicle assisted driving functions based on myoelectric induction.

[0004] In a first aspect, the present application provides a method for controlling vehicle assisted driving functions based on myoelectric induction, including the following steps:

[0005] Obtain the physiological signals of the driver through a myoelectric bracelet;

[0006] Obtain the mental state of the driver during driving according to the obtained physiological signals of the driver;

[0007] Control and execute different assisted driving strategies according to the obtained mental state of the driver.

[0008] According to the first aspect, in the first possible implementation manner of the first aspect, the step of obtaining the mental state of the driver during driving according to the obtained physiological signals of the driver specifically includes the following steps: Compare the obtained physiological signals of the driver with the physiological values of the mental state of the driver in the database, obtain the comparison result, and obtain the mental state of the driver during driving according to the obtained comparison result.

[0009] According to the first possible implementation manner of the first aspect, in the second possible implementation manner of the first aspect, the step of comparing the obtained physiological signals of the driver with the physiological values of the mental state of the driver in the database, obtaining the comparison result, and obtaining the mental state of the driver during driving according to the obtained comparison result specifically includes the following steps:

[0010] Compare the obtained physiological signals of the driver with the physiological values of the driver in a very relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a very relaxed state;

[0011] Compare the physiological signals of the driver obtained with the physiological values of the driver in a relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a relaxed state;

[0012] Compare the physiological signals of the driver obtained with the physiological values of the driver in a tense state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a tense state.

[0013] According to the first aspect, in the third possible implementation manner of the first aspect, before the step of obtaining the physiological signals of the driver through the electromyography bracelet, the following steps are further included:

[0014] Obtain the comparison result of the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving;

[0015] When the mental state of the driver during driving obtained by the intelligent driving system is consistent with the real mental state of the driver, control to turn on the personalized experience function of the assisted driving.

[0016] According to the first aspect, in the fourth possible implementation manner of the first aspect, the step of obtaining the comparison result of the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving specifically includes the following steps:

[0017] Simulate different driving environments through a training model;

[0018] Obtain the electromyographic physiological data of the driver in different simulated driving environments;

[0019] According to the obtained electromyographic physiological data of the driver in different simulated driving environments, obtain the mental state of the driver during driving obtained by the intelligent driving system;

[0020] Compare the mental state of the driver during driving obtained by the intelligent driving system with the real mental state of the driver, and obtain the comparison result of the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving.

[0021] According to the first aspect, in the fifth possible implementation manner of the first aspect, the step of controlling and executing different assisted driving strategies according to the obtained mental state of the driver specifically includes the following steps:

[0022] According to the data of the camera and the radar, obtain the planned driving path of the vehicle for assisted driving;

[0023] According to the planned driving path of the vehicle for assisted driving, obtain a lane change demand instruction. When a lane change demand instruction is obtained, according to the obtained mental state of the driver, obtain the lane change strategy of the vehicle for assisted driving;

[0024] Control the execution of different assisted driving strategies according to the obtained planned driving path of vehicle assisted driving and the lane-changing strategy of vehicle assisted driving.

[0025] According to the fifth possible implementation manner of the first aspect, in the sixth possible implementation manner of the first aspect, the steps of obtaining a lane-changing demand instruction according to the planned driving path of vehicle assisted driving and obtaining a vehicle assisted driving lane-changing strategy according to the obtained mental state of the driver when the lane-changing demand instruction is obtained specifically include the following steps:

[0026] When the driver is in a very relaxed state, control the execution of an aggressive lane-changing strategy;

[0027] When the driver is in a normal relaxed state at this time, control the execution of a normal lane-changing strategy;

[0028] When the driver is in a tense state, control the execution of a slow lane-changing strategy.

[0029] In a second aspect, the present application provides a vehicle assisted driving function control system based on electromyogram sensing, including:

[0030] A physiological signal acquisition module, configured to acquire the physiological signal of the driver through an electromyogram bracelet;

[0031] A state acquisition module, communicatively connected to the physiological signal acquisition module, configured to acquire the mental state of the driver during driving according to the acquired physiological signal of the driver;

[0032] A driving strategy acquisition module, communicatively connected to the mental state acquisition module, configured to control the execution of different assisted driving strategies according to the acquired mental state of the driver.

[0033] According to the second aspect, in the first possible implementation manner of the second aspect, the mental state acquisition module includes:

[0034] A state acquisition unit, communicatively connected to the physiological signal acquisition module, configured to compare the acquired physiological signal of the driver with the mental state physiological values of the driver in the database, obtain a comparison result, and obtain the mental state of the driver during driving according to the obtained comparison result.

[0035] According to the second aspect, in the second possible implementation manner of the second aspect, the mental state acquisition unit includes:

[0036] A first state determination subunit, communicatively connected to the physiological signal acquisition module, configured to compare the acquired physiological signal of the driver with the physiological values of the driver in a very relaxed state in the database, and when the acquired comparison difference is within a preset threshold range, determine that the driver is in a very relaxed state;

[0037] The second state determination sub-unit is communicatively connected to the physiological signal acquisition module, compares the acquired physiological signals of the driver with the physiological values of the driver in a relaxed state in the database, and determines that the driver is in a relaxed state when the acquired comparison difference is within a preset threshold range;

[0038] The third state determination sub-unit is communicatively connected to the physiological signal acquisition module, and is used to compare the acquired physiological signals of the driver with the physiological values of the driver in a tense state in the database, and determines that the driver is in a tense state when the acquired comparison difference is within a preset threshold range.

[0039] Compared with the prior art, the advantages of the present invention are as follows:

[0040] The vehicle assisted driving function control method based on electromyogram induction provided by the present application obtains the physiological signals of the driver through electromyogram induction, and controls the execution of different assisted driving strategies according to the acquired physiological signals, and can be flexibly adjusted according to the actual feelings of the driver, so that the performance of the assisted driving function meets the expectations of the driver, bringing a satisfactory driving experience to the driver;

[0041] The vehicle assisted driving function control method based on electromyogram induction provided by the present application brings a "personalized" intelligent driving experience to users, makes the assisted driving function more understanding of people's hearts, and provides a driving experience beyond customer expectations on the premise of safety, thereby enhancing the popularity of the assisted driving function and accelerating the popularization rate of the assisted driving function. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flowchart of the vehicle assisted driving function control method based on electromyogram induction according to an embodiment of the present invention;

[0043] Figure 2 is another flowchart of the vehicle assisted driving function control method based on electromyogram induction according to an embodiment of the present invention;

[0044] Figure 3 is a functional module block diagram of the vehicle assisted driving function control system based on electromyogram induction according to an embodiment of the present invention;

[0045] Figure 4 is another functional module block diagram of the vehicle assisted driving function control system based on electromyogram induction according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Reference will now be made in detail to the specific embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Although the present invention will be described in conjunction with specific embodiments, it is to be understood that the invention is not intended to be limited to the described embodiments. On the contrary, it is intended to cover modifications, variations, and equivalents included within the spirit and scope of the present invention as defined by the appended claims. It should be noted that the method steps described herein can be implemented by any functional block or functional arrangement, and any functional block or functional arrangement can be implemented as a physical entity or a logical entity, or a combination of both.

[0047] To enable those skilled in the art to better understand the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0048] Note: The examples to be introduced next are only specific examples and do not limit the embodiments of the present invention to the following specific steps, numerical values, conditions, data, sequences, etc. Those skilled in the art can use the concept of the present invention by reading this specification to construct more embodiments not mentioned in this specification.

[0049] Existing assisted driving functions cannot be flexibly adapted and adjusted according to the actual driving experience of the driver, resulting in the technical problem of affecting the driving experience of the driver.

[0050] In view of this, the present application provides a method for controlling a vehicle assisted driving function based on electromyogram sensing to solve the technical problem that existing assisted driving functions cannot be flexibly adjusted according to the actual driving experience of the driver.

[0051] See Figure 1 As shown, an embodiment of the present invention provides a method and system for controlling a vehicle assisted driving function based on electromyogram sensing, including the following steps:

[0052] Step S1: Obtain the physiological signals of the driver through an electromyogram bracelet. The physiological signals include heart rate, blood pressure, pulse rate, blood oxygen concentration, etc. By obtaining the physiological signals of the driver through an electromyogram bracelet, the electromyogram bracelet is convenient to wear, and obtaining physiological signals is simple and fast, and it is easy to adapt to the vehicle-mounted application of mass-produced models;

[0053] Step S2: Obtain the mental state of the driver during driving according to the obtained physiological signals of the driver;

[0054] Step S3: Control and execute different assisted driving strategies according to the obtained mental state of the driver.

[0055] The vehicle assisted driving function control method based on electromyogram induction provided by this application obtains the physiological signals of the driver through electromyogram induction, and controls the execution of different assisted driving strategies according to the obtained physiological signals, changing the phenomenon that the existing intelligent assisted driving terminals are "one size fits all for thousands of people" while the assisted driving functions are "unchanged". It can flexibly adjust according to the actual driving experience of the driver to adapt to the assisted driving strategy that meets the driver's expectations, and improve the driving experience of intelligent assisted driving.

[0056] In one embodiment, the step of obtaining the mental state of the driver during driving according to the obtained physiological signals of the driver specifically includes the following steps:

[0057] Compare the obtained physiological signals of the driver with the physiological values of the driver's mental state in the database, obtain the comparison result, and obtain the mental state of the driver during driving according to the obtained comparison result.

[0058] In this application, the database is the physiological signal values related to the driver's driving mental state obtained through multiple tests. The physiological signal values include heart rate, blood pressure, pulse rate, blood oxygen concentration, etc.

[0059] In this application, the intelligent driving system is a system that uses various sensors on the vehicle to sense the surrounding environment at any time during vehicle driving, collect data, and perform system operations and analyses to improve the comfort and safety of vehicle driving.

[0060] In one embodiment, as shown in Figure 2 The step of comparing the obtained physiological signals of the driver with the physiological values of the driver's mental state in the database, obtaining the comparison result, and obtaining the mental state of the driver during driving according to the obtained comparison result specifically includes the following steps:

[0061] Step S21: Compare the obtained physiological signals of the driver with the physiological values of the driver in a very relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a very relaxed state;

[0062] Step S22: Compare the obtained physiological signals of the driver with the physiological values of the driver in a relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a relaxed state;

[0063] Step S23: Compare the obtained physiological signals of the driver with the physiological values of the driver in a tense state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a tense state.

[0064] As described above, the value ranges of the physiological values of the driver in a very relaxed state, the physiological values of the driver in a relaxed state, and the physiological values of the driver in a tense state in the database are preset value ranges, which are analyzed and set according to the obtained multiple driving test data or driving experience data.

[0065] As described above, the preset threshold range is the value range of the physiological values of the driver in a very relaxed state, the physiological values of the driver in a relaxed state, and the physiological values of the driver in a tense state in the database.

[0066] In one embodiment, in order to verify the consistency between the obtained mental state of the driver and the real mental state of the driver, and thereby adjust the assisted driving strategy that meets the driver's expectations, before the step of obtaining the physiological signal of the driver through the electromyography bracelet, the following steps are further included:

[0067] Obtain the comparison result between the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving;

[0068] When the mental state of the driver obtained by the intelligent driving system is consistent with the real mental state of the driver, control to turn on the personalized experience function of assisted driving.

[0069] In a more specific embodiment, since the mental state of the driver is obtained through the training model on the in-vehicle system, it is necessary to verify in advance whether this information is consistent with the driver's true driving experience, so as to avoid the auxiliary driving strategy made based on this being inconsistent with the driver's expectations. Specifically, load an in-vehicle game on the training model of the in-vehicle system, simulate different driving environments through the in-vehicle game, and the driver wears an electromyogram bracelet and experiences the in-vehicle game in the vehicle to train the training model on the in-vehicle system. During the training process, the vehicle is in a stationary state, and the vehicle steering wheel, accelerator pedal, and brake pedal cooperate with the in-vehicle game to perform normal steering, accelerator, and braking operations. Through different driving environments and settings of acceleration, deceleration, steering torque, and steering rate, the driver is brought a driving experience of being very relaxed, relaxed, and tense, and record the electromyophysiological data of the driver at this time and the mental state of the driver determined by the training model of the in-vehicle system. Obtain the mental state of the driver during driving through the mental state of the driver determined by the training model of the in-vehicle system, compare the mental state of the driver determined by the training model of the in-vehicle system with the driver's true driving experience, that is, the driver's true mental state. When the two are consistent, the training of the training model of the in-vehicle system passes. When the two are inconsistent, further training is required to make the mental state of the driver that the training model of the in-vehicle system can determine consistent with the driver's true driving state. The specific training method is to modify the physiological value range of the driver in a very relaxed state, a relaxed state, and a tense state in the training model of the in-vehicle system, or through multiple simulated driving trainings. Until the two are consistent, control to turn on the personalized experience function of the assisted driving.

[0070] In one embodiment, the step of obtaining the comparison result of the mental state of the driver during driving obtained by the intelligent driving system and the true mental state of the driver during driving specifically includes the following steps:

[0071] Simulate different driving environments through the training model;

[0072] Obtain the electromyophysiological data of the driver in different simulated driving environments;

[0073] According to the obtained electromyophysiological data of the driver in different simulated driving environments, obtain the mental state of the driver during driving obtained by the intelligent driving system;

[0074] Compare the mental state of the driver during driving with the true mental state of the driver, and obtain the comparison result of the mental state of the driver during driving obtained by the intelligent driving system and the true mental state of the driver during driving.

[0075] In one embodiment, the step of controlling the execution of different auxiliary driving strategies according to the obtained mental state of the driver specifically includes the following steps:

[0076] Obtain the planned driving path for vehicle assisted driving based on the data from the camera and radar, and send the decisions to be executed to the driver, such as whether to execute a lane change when the current lane change conditions are met;

[0077] Obtain vehicle assisted driving strategies with different degrees of aggressiveness according to the obtained mental state of the driver;

[0078] Control and execute different assisted driving strategies according to the obtained planned driving path for vehicle assisted driving and the vehicle assisted driving strategies with different degrees of aggressiveness.

[0079] In one embodiment, the step of obtaining vehicle assisted driving strategies with different degrees of aggressiveness according to the obtained mental state of the driver specifically includes the following steps:

[0080] When the driver is in a very relaxed state, control and execute an aggressive assisted driving strategy;

[0081] When the driver is in a normal relaxed state at this time, control and execute a normal assisted driving strategy;

[0082] When the driver is in a tense state, control and execute a slow assisted driving strategy.

[0083] In one embodiment, the step of controlling and executing different assisted driving strategies according to the obtained mental state of the driver specifically includes the following steps:

[0084] Obtain the planned driving path for vehicle assisted driving based on the data from the camera and radar, and send the decisions to be executed to the driver, such as whether to execute a lane change when the current lane change conditions are met;

[0085] Obtain a lane change demand instruction according to the planned driving path for vehicle assisted driving. When the lane change demand instruction is obtained, obtain a vehicle assisted driving lane change strategy according to the obtained mental state of the driver;

[0086] Control and execute different assisted driving strategies according to the obtained planned driving path for vehicle assisted driving and the vehicle assisted driving lane change strategy.

[0087] In one embodiment, the step of obtaining a lane change demand instruction according to the planned driving path for vehicle assisted driving, and when the lane change demand instruction is obtained, obtaining a vehicle assisted driving lane change strategy according to the obtained mental state of the driver specifically includes the following steps:

[0088] When the driver is in a very relaxed state, control and execute an aggressive lane change strategy;

[0089] When the driver is in a normal relaxed state at this time, control and execute a normal lane change strategy;

[0090] When the driver is in a tense state, the control executes a slow lane change strategy.

[0091] In one embodiment, gesture actions corresponding to the lane change strategy are displayed on the electromyogram bracelet, which are used to visually show the driver the specific lane change strategy in the current driving state.

[0092] As described above, the aggressive lane change or aggressive assisted driving refers to the vehicle's movement behavior with a relatively large acceleration / deceleration / steering torque / steering rate (bolder than the driver's own driving behavior) on the premise of ensuring safety; the normal lane change or normal assisted driving refers to the vehicle's movement behavior with a normal acceleration / deceleration / steering torque / steering rate (consistent with the driver's own driving behavior) on the premise of ensuring safety; the slow lane change or slow assisted driving refers to the vehicle's movement behavior with a relatively small acceleration / deceleration / steering torque / steering rate (more conservative than the driver's own driving behavior) on the premise of ensuring safety.

[0093] In this application, the driver's mental state is divided into three states: very relaxed, relaxed, and tense. In other embodiments of this application, the driver's mental state can also be more finely divided according to the driver's personalized experience needs to bring the driver a better personalized assisted driving experience. For example, the driver's mental state is divided into very relaxed, relaxed, tense, and very tense. Even, the driver's driving goal needs can be added, such as sightseeing needs or catching a vehicle feeling needs. On the premise of ensuring vehicle safety and meeting the driver's driving comfort experience, the vehicle assisted driving speed is reduced or increased as much as possible.

[0094] Second aspect, as Figure 3 shown, based on the same inventive concept, this application provides a vehicle assisted driving function control system based on electromyogram sensing, including:

[0095] A physiological signal acquisition module 100, configured to acquire the driver's physiological signal through an electromyogram bracelet;

[0096] A state acquisition module 200, communicatively connected to the physiological signal acquisition module 100, configured to acquire the driver's mental state during driving according to the acquired driver's physiological signal;

[0097] A driving strategy acquisition module 300, communicatively connected to the mental state acquisition module, configured to control and execute different assisted driving strategies according to the acquired driver's mental state.

[0098] In one embodiment, the mental state acquisition module includes:

[0099] A status acquisition unit, communicatively connected to the physiological signal acquisition module, is configured to compare the acquired physiological signals of the driver with the physiological values of the driver's mental state in the database, obtain a comparison result, and obtain the mental state of the driver during driving according to the obtained comparison result.

[0100] In one embodiment, as Figure 4 shown, the mental state acquisition unit includes:

[0101] A first state determination subunit 210, communicatively connected to the physiological signal acquisition module 100, is configured to compare the acquired physiological signals of the driver with the physiological values of the driver in a very relaxed state in the database. When the obtained comparison difference is within a preset threshold range, it is determined that the driver is in a very relaxed state;

[0102] A second state determination subunit 220, communicatively connected to the physiological signal acquisition module 100, compares the acquired physiological signals of the driver with the physiological values of the driver in a relaxed state in the database. When the obtained comparison difference is within a preset threshold range, it is determined that the driver is in a relaxed state;

[0103] A third state determination subunit 230, communicatively connected to the physiological signal acquisition module 100, is configured to compare the acquired physiological signals of the driver with the physiological values of the driver in a tense state in the database. When the obtained comparison difference is within a preset threshold range, it is determined that the driver is in a tense state.

[0104] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, all or part of the method steps of the above method are implemented.

[0105] All or part of the processes in the above methods of the present invention can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0106] Based on the same inventive concept, an embodiment of the present application further provides an electronic device, including a memory and a processor. The memory stores a computer program that runs on the processor. When the processor executes the computer program, all or part of the method steps in the above method are implemented.

[0107] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the computer device, and connects various parts of the entire computer device through various interfaces and lines.

[0108] The memory can be used to store computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory, and invoking the data stored in the memory, the processor can implement various functions of the computer device. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, video data, etc.). In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0109] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, a server, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories and optical memories, etc.) containing computer-usable program code.

[0110] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), servers, and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in Figure 1 one or more of the flows Figure 1 or multiple flows and / or blocks

[0111] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in Figure 1 one or more of the flows Figure 1 or multiple flows and / or blocks

[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions for implementing the functions specified in one process or a plurality of processes and / or blocks Figure 1 one process or a plurality of processes and / or blocks Figure 1 steps for implementing the functions specified in one block or a plurality of blocks.

[0113] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for controlling a vehicle assisted driving function based on electromyographic induction, characterized in that, It includes the following steps: Obtain the physiological signals of the driver through an electromyography bracelet; Obtain the mental state of the driver during driving based on the obtained physiological signals of the driver; Control and execute different assisted driving strategies according to the obtained mental state of the driver; The step of obtaining the mental state of the driver during driving according to the obtained physiological signals of the driver specifically includes the following steps: Compare the obtained physiological signals of the driver with the physiological values of the mental state of the driver in the database, obtain the comparison result, and obtain the mental state of the driver during driving according to the obtained comparison result; The step of comparing the obtained physiological signals of the driver with the physiological values of the mental state of the driver in the database, obtaining the comparison result, and obtaining the mental state of the driver during driving according to the obtained comparison result specifically includes the following steps: Compare the obtained physiological signals of the driver with the physiological values of the driver in a very relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a very relaxed state; Compare the obtained physiological signals of the driver with the physiological values of the driver in a relaxed state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a relaxed state; Compare the obtained physiological signals of the driver with the physiological values of the driver in a tense state in the database. When the obtained comparison difference is within the preset threshold range, it is determined that the driver is in a tense state; Before the step of obtaining the physiological signals of the driver through the electromyography bracelet, the following steps are also included: Obtain the comparison result between the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving; When the mental state of the driver during driving obtained by the intelligent driving system is consistent with the real mental state of the driver during driving, control to turn on the personalized experience function of assisted driving; The physiological signals include heart rate, blood pressure, pulse rate, and blood oxygen concentration.

2. The vehicle assisted driving function control method based on electromyographic induction according to claim 1, wherein The step of obtaining the comparison result between the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving specifically includes the following steps: Simulate different driving environments through a training model; Obtain the electromyographic physiological data of the driver in different simulated driving environments; Obtain the mental state of the driver during driving obtained by the intelligent driving system according to the obtained electromyographic physiological data of the driver in different simulated driving environments; Compare the mental state of the driver during driving obtained by the intelligent driving system with the real mental state of the driver, and obtain the comparison result between the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving.

3. The vehicle assisted driving function control method based on electromyogram induction according to claim 1, characterized in that, The step of controlling and executing different assisted driving strategies according to the obtained mental state of the driver specifically includes the following steps: Obtain the planned driving path of the vehicle's assisted driving according to the data of the camera and radar; Obtain a lane change demand instruction according to the planned driving path of the vehicle's assisted driving. When a lane change demand instruction is obtained, obtain the lane change strategy of the vehicle's assisted driving according to the obtained mental state of the driver; Control and execute different assisted driving strategies according to the obtained planned driving path of the vehicle's assisted driving and the lane change strategy of the vehicle's assisted driving.

4. The vehicle assisted driving function control method based on electromyogram induction according to claim 3, characterized in that According to the driving path planned by the vehicle assisted driving, obtain a lane change demand instruction. When the lane change demand instruction is obtained, according to the obtained mental state of the driver, obtain the vehicle assisted driving lane change strategy steps, which specifically include the following steps: When the driver is in a very relaxed state, control the execution of an aggressive lane change strategy; When the driver is in a normal relaxed state at this time, control the execution of a normal lane change strategy; When the driver is in a tense state, control the execution of a slow lane change strategy.

5. A vehicle assisted driving function control system based on electromyogram induction, characterized in that, It includes: A physiological signal acquisition module for acquiring the physiological signals of the driver through an electromyogram bracelet; A state acquisition module, communicatively connected to the physiological signal acquisition module, for acquiring the mental state of the driver during driving according to the acquired physiological signals of the driver; A driving strategy acquisition module, communicatively connected to the state acquisition module, for controlling the execution of different assisted driving strategies according to the acquired mental state of the driver; The state acquisition module includes: A state acquisition unit, communicatively connected to the physiological signal acquisition module, for comparing the acquired physiological signals of the driver with the mental state physiological values of the driver in the database, obtaining a comparison result, and for obtaining the mental state of the driver during driving according to the obtained comparison result; The state acquisition unit includes: A first state determination subunit, communicatively connected to the physiological signal acquisition module, for comparing the acquired physiological signals of the driver with the physiological values of the driver in a very relaxed state in the database. When the acquired comparison difference is within a preset threshold range, it is determined that the driver is in a very relaxed state; A second state determination subunit, communicatively connected to the physiological signal acquisition module, comparing the acquired physiological signals of the driver with the physiological values of the driver in a relaxed state in the database. When the acquired comparison difference is within a preset threshold range, it is determined that the driver is in a relaxed state; A third state determination subunit, communicatively connected to the physiological signal acquisition module, for comparing the acquired physiological signals of the driver with the physiological values of the driver in a tense state in the database. When the acquired comparison difference is within a preset threshold range, it is determined that the driver is in a tense state; Before the step of acquiring the physiological signals of the driver through the electromyogram bracelet, the following steps are further included: Obtain the comparison result between the mental state of the driver during driving obtained by the intelligent driving system and the real mental state of the driver during driving; When the mental state of the driver during driving obtained by the intelligent driving system is consistent with the real mental state of the driver during driving, control to turn on the personalized experience function of assisted driving; The physiological signals include heart rate, blood pressure, pulse rate, and blood oxygen concentration.

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