Fatigue driving monitoring method, system, fatigue driving reminding system and vehicle

Abstract

Embodiments of the present application relate to a kind of fatigue driving monitoring method, system, fatigue driving reminding system and vehicle.The method is applied to vehicle seat, vehicle seat has seat cushion;Method includes: obtaining the pressure data of driver acting on vehicle seat seat cushion;According to pressure data, the area of driver acting on vehicle seat seat cushion is zoned, and different body partition is obtained;The piezoelectric data corresponding to the area of driver on vehicle seat seat cushion is obtained;In piezoelectric data, each body partition has corresponding several partition piezoelectric data in it, corresponding several partition piezoelectric data in the same body partition is weighted calculation, obtains the life characteristic data of driver;According to life characteristic data, judge the fatigue state of driver.Thereby, fatigue driving monitoring is carried out to driver, and then fatigue driving of driver is reminded, and driving safety is guaranteed.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of intelligent driving, in particular to a fatigue driving monitoring method and system, a fatigue driving reminding system and a vehicle. BACKGROUND

[0002] With the rapid development of the automobile industry and the acceleration of people's life pace, the automobile has become an indispensable means of transportation in modern society. However, as the driving time is prolonged, the driver is prone to fatigue, which poses a serious threat to road traffic safety. Fatigue driving refers to the phenomenon that the driver, after a long time of continuous driving, due to the decline of physiological and psychological functions, leads to slow reaction, inattention, judgment error and other phenomena, which is prone to cause traffic accidents.

[0003] In recent years, the number of traffic accidents caused by fatigue driving has been high, which has brought great loss to people's life and property safety. These accidents not only bring endless pain to the victims and their families, but also bring heavy economic burden to the society. Therefore, the research and development of the automobile fatigue driving monitoring system and the fatigue driving reminding system are of great significance for improving road traffic safety and reducing the occurrence of traffic accidents.

[0004] However, the traditional fatigue driving monitoring method usually only directly relies on the single detection information of the piezoelectric film sensor, directly monitors the heart rate, respiration and other vital signs of the driver by the piezoelectric film sensor, and then directly judges the fatigue condition of the driver according to the vital signs of the monitoring information. The accuracy requirement and dependence of the piezoelectric film sensor are extremely high. After long-term use of the piezoelectric film sensor, or when a product with low accuracy is used, there are problems of low accuracy and large error, which is difficult to timely and effectively remind the driver to pay attention to the risk of fatigue driving. In order to overcome the shortcomings of the traditional method, it is necessary to develop a new fatigue driving monitoring method. SUMMARY

[0005] In view of the above problems, embodiments of the present application provide a fatigue driving monitoring method, system, fatigue driving reminding system and vehicle, which overcome the above problems or at least partially solve the above problems.

[0006] According to an aspect of an embodiment of the present application, a fatigue driving monitoring method is provided, which is applied to a vehicle seat, the vehicle seat having a seat cushion;

[0007] The method comprises:

[0008] obtaining pressure data of the driver acting on the seat cushion of the vehicle seat;

[0009] According to the pressure data, the area of the driver acting on the seat cushion of the vehicle seat is partitioned to obtain different body partitions;

[0010] acquire piezoelectric data corresponding to the seat cushion area of the vehicle seat of the driver;

[0011] In the piezoelectric data, each of the body partitions has corresponding piezoelectric data of several partitions, and the piezoelectric data of the corresponding partitions in the same body partition are weighted and calculated to obtain the vital sign data of the driver.

[0012] According to the vital sign data, the fatigue state of the driver is judged.

[0013] In an optional manner, the piezoelectric data of several partitions includes n characteristic values, the different body partitions include left and right ischial partitions, and the pressure data includes pressure values; the step of acquiring the vital sign data of the driver by weighting and calculating the piezoelectric data of the corresponding partitions in the same body partition in the piezoelectric data of each body partition includes:

[0014] Acquire n weights corresponding to the n characteristic values;

[0015] Acquire a first key point corresponding to the characteristic pressure value in the left ischial partition, and acquire a second key point corresponding to the characteristic pressure value in the right ischial partition;

[0016] According to the n characteristic values and the n weights, the vital sign data of the driver is calculated and obtained; wherein in the piezoelectric data of the corresponding partitions in the left ischial partition, the weight of the characteristic value is related to the distance between the detection point of the piezoelectric data and the first key point; in the piezoelectric data of the corresponding partitions in the right ischial partition, the weight of the characteristic value is related to the distance between the detection point of the piezoelectric data and the second key point.

[0017] In an optional manner, a first key point corresponding to the maximum pressure value in the left ischial partition is acquired, and in the piezoelectric data of the corresponding partitions in the left ischial partition, the closer the distance between the first key point and the characteristic value, the higher the weight of the characteristic value.

[0018] In an optional manner, a second key point corresponding to the maximum pressure value in the right ischial partition is acquired, and in the piezoelectric data of the corresponding partitions in the right ischial partition, the closer the distance between the second key point and the characteristic value, the higher the weight of the characteristic value.

[0019] In an alternative mode, the plurality of partition piezoelectric data includes n characteristic values, the different body partitions include a left thigh partition and a right thigh partition, and the pressure data includes pressure values; each of the body partitions has a corresponding plurality of partition piezoelectric data in the piezoelectric data, and the step of performing weighted calculation on the corresponding plurality of partition piezoelectric data of the same body partition to obtain the vital sign data of the driver includes:

[0020] obtaining n weights corresponding to the n characteristic values;

[0021] obtaining a bifurcation point between the left thigh partition and the right thigh partition;

[0022] calculating the vital sign data of the driver according to the n characteristic values and the n weights; wherein in the plurality of partition piezoelectric data corresponding to the left thigh partition, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point; and in the plurality of partition piezoelectric data corresponding to the right thigh partition, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point.

[0023] In an alternative mode, in the plurality of partition piezoelectric data corresponding to the left thigh partition, the closer to the bifurcation point, the lower the weight of the characteristic value.

[0024] In an alternative mode, in the plurality of partition piezoelectric data corresponding to the right thigh partition, the closer to the bifurcation point, the lower the weight of the characteristic value.

[0025] In an alternative mode, the plurality of partition piezoelectric data includes n characteristic values, the n characteristic values correspond to n weights, each of the body partitions has a corresponding plurality of partition piezoelectric data in the piezoelectric data, and the step of performing weighted calculation on the corresponding plurality of partition piezoelectric data of the same body partition to obtain the vital sign data of the driver includes:

[0026]

[0027] wherein the T is the vital sign data, the t n is the characteristic value, and the k n is the weight.

[0028] According to an aspect of the present application, there is provided a fatigue driving monitoring system, comprising a vehicle seat provided with a seat cushion, the seat cushion comprising a physiological detection cushion and a pressure detection cushion stacked together, the physiological detection cushion being configured to detect piezoelectric data of a driver corresponding to a pressure area of the seat cushion of the vehicle seat, the physiological detection cushion being provided with a plurality of piezoelectric film sensors, and the pressure detection cushion being configured to detect pressure data of the driver acting on the seat cushion of the vehicle seat.

[0029] The system further comprises a controller configured to receive the piezoelectric data of the physiological detection cushion and the pressure data of the pressure detection cushion, and the controller is configured to perform the fatigue driving monitoring method as described above.

[0030] In an alternative manner, the pressure detection cushion comprises M first conductive lines arranged at intervals along a first direction and N second conductive lines arranged at intervals along a second direction, the M first conductive lines and the N second conductive lines intersecting with each other to form M*N sensing points, and any piezoelectric film sensor is offset from any first conductive line and any second conductive line in a thickness direction of the seat cushion.

[0031] According to an aspect of the present application, there is provided a fatigue driving reminding system, comprising the fatigue driving monitoring system as described above, and further comprising a pneumatic adjusting element configured to perform inflation and deflation to adjust a sitting posture of the driver according to control information issued by the controller, so as to remind the driver.

[0032] According to an aspect of the present application, there is provided a vehicle, comprising the fatigue driving monitoring system as described above, or comprising the fatigue driving reminding system as described above.

[0033] The present application has the following advantages:

[0034] The fatigue driving monitoring method of the present application is different from the existing fatigue driving monitoring method, which corresponds to the body partition of the pressure area of the seat cushion of the vehicle seat acted on by the driver, and performs weighted calculation on the corresponding piezoelectric data in the same body partition, so as to obtain the vital sign data of the driver to determine the fatigue state of the driver. Compared with the traditional method of directly obtaining piezoelectric data and determining the fatigue state of the driver, the vital sign data obtained is more accurate, and the determination accuracy of the fatigue state of the driver is higher.

[0035] The fatigue driving monitoring system of the present application comprises a seat cushion stacked with a pressure detection cushion and a physiological detection cushion, which can realize pressure detection and physiological detection when the driver sits, and provide accurate monitoring function, so as to realize accurate monitoring of the fatigue state of the driver.

[0036] The fatigue driving reminding system of the embodiment of the present application can accurately obtain the fatigue state of the driver based on the fatigue driving monitoring system, and can adjust the sitting posture of the driver by inflating and deflating the pneumatic adjusting element, so as to remind the driver, and the reminding effect is strong and the comfort is good.

[0037] The vehicle of the embodiment of the present application is provided with the fatigue driving monitoring system or the fatigue driving reminding system, so that the fatigue driving of the driver can be effectively prevented, and the driving safety is improved. BRIEF DESCRIPTION OF DRAWINGS

[0038] One or more embodiments are illustrated by way of example in the figures that form a part of this patent document. These example embodiments demonstrate, but do not limit, the implementation of the embodiments. Like reference numbers in the figures indicate like elements, unless otherwise specifically noted. The figures in the drawings do not limit the proportion.

[0039] Figure 1 is a schematic view of a seat cushion provided by the embodiment of the present application;

[0040] Figure 2 is an exploded schematic view of a seat cushion provided by the embodiment of the present application;

[0041] Figure 3 is Figure 1 is an enlarged schematic view of part A in FIG. 1;

[0042] Figure 4 is a perspective schematic view of a seat cushion provided by the embodiment of the present application;

[0043] Figure 5 is a hardware structure schematic view of a controller provided by the embodiment of the present application;

[0044] Figure 6 is a flow schematic view of a fatigue driving monitoring method provided by the embodiment of the present application;

[0045] Figure 7 is an image of a sitting posture profile provided by the embodiment of the present application;

[0046] Figure 8 is a gradient graph of pressure data of a pressure detection pad provided by the embodiment of the present application;

[0047] Figure 9 is a flow schematic view of obtaining vital sign data of a driver's ischial pressure partition provided by the embodiment of the present application;

[0048] Figure 10 is a flow schematic view of obtaining vital sign data of a driver's thigh pressure partition provided by the embodiment of the present application;

[0049] Figure 11is a schematic view of a fatigue driving monitoring system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some, but not all of the embodiments of the present application. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0051] It should be noted that when an element is described as being "fixed" to another element, it can be directly on the other element or one or more intervening elements can be present. When an element is described as being "connected" to another element, it can be directly connected to the other element or one or more intervening elements can be present. The terms "vertical", "horizontal", "left", "right", and similar expressions used in the specification are for illustrative purposes only.

[0052] In addition, the technical features involved in the various embodiments of the present application described below can be combined with each other as long as there is no conflict.

[0053] In order to facilitate the reader to understand the inventive concept of the present application, first, the seat cushion involved in the fatigue driving monitoring method provided by the embodiments of the present application is introduced, which can provide electrical signals (such as voltage, current, capacitance, resistance, etc.). When the driver sits on the seat cushion, the seat cushion detects the pressure data and piezoelectric data of the driver to obtain accurate driver vital sign data, as follows.

[0054] The seat cushion 100 provided by the embodiments of the present application, please refer to Figure 1 , Figure 2 and Figure 3 The seat cushion 100 includes a physiological detection pad body 20 and a pressure detection pad body 10 stacked in the thickness direction.

[0055] In order to facilitate understanding and description, the first direction D1, the second direction D2 and the third direction D3 are defined, wherein the third direction D3 is perpendicular to the first direction D1 and the second direction D2, the physiological detection pad body 20 and the pressure detection pad body 10 are stacked in the third direction D3, and the third direction D3 is the thickness direction of the seat cushion 100.

[0056] It should be noted that the first direction D1 and the second direction D2 can be perpendicular, or the first direction D1 and the second direction D2 can be crosswise arranged at an angle.

[0057] Please refer to Figures 2 to 4 , the pressure detection pad 10 includes M first conductive lines 11 arranged along the first direction D1 and N second conductive lines 21 arranged along the second direction D2, the M first conductive lines 11 and the N second conductive lines 21 intersect to form MxN sensing points; the physiological detection pad 20 includes a plurality of piezoelectric film sensors 201; in the thickness direction D3 of the seat cushion 100, any piezoelectric film sensor 201 is offset from any first conductive line 11, and any piezoelectric film sensor 201 is offset from any second conductive line 21. That is, in the projection along the thickness direction of the seat cushion 100, the piezoelectric film sensor 201 is located in the blank area of the pressure detection pad 10, and the blank area is specifically the blank grid area formed by the intersection of the M first conductive lines 11 and the N second conductive lines 21. Through this setting, on the one hand, the pressure detection pad 10 and the physiological detection pad 20 can be ensured not to interfere with each other in function. The pressure detection pad 10 is responsible for detecting sensing data related to pressure, and the physiological detection pad 20 focuses on detecting piezoelectric data of the user, such as physiological signals (heart rate, breathing rate, etc.). Since the piezoelectric film sensors 201 are located in the blank grid area of the pressure detection pad 10, they will not be disturbed by the first conductive lines 11 and the second conductive lines 21, so that the physiological data of the user can be accurately collected. In addition, this design also allows the signal processing circuits of the pressure detection pad 10 and the physiological detection pad 20 to work independently, reduces the crosstalk between signals, and improves stability and data accuracy.

[0058] Specifically, the superposition of the physiological detection pad 20 and the pressure detection pad 10 can be that the pressure detection pad 10 is superposed on the physiological detection pad 20, or the physiological detection pad 20 is superposed on the pressure detection pad 10. Preferably, the pressure detection pad 10 is superposed on the physiological detection pad 20, so that the pressure detection pad 10 is closer to the seated person relative to the physiological detection pad 20 when the seat cushion 100 is used.

[0059] The physiological detection pad 20 is used for physiological detection of the occupant acting on the seat cushion 100, such as heart rate, breathing rate; the pressure detection pad 10 is used for providing sensing data related to pressure when the occupant acts on the seat cushion 100; the physiological detection pad 20 and the pressure detection pad 10 in the seat cushion 100 can cooperate with each other and jointly act, thereby improving the use universality and comfort of the seat cushion 100.

[0060] It is worth noting that M is an integer not less than 1, and N is an integer not less than 1.

[0061] It is worth mentioning that when the occupant acts on the seat cushion 100, the occupant exerts pressure on the seat cushion 100, and the piezoelectric film sensor 201 can generate a piezoelectric effect to provide piezoelectric data, so as to monitor the heart rate and the breathing frequency by sensing the slight vibration caused by the heartbeats, and accurately reflect the activity state of the heart in real time.

[0062] In addition, since the heart rate or the breathing frequency is closely related to the fatigue driving, the relationship can reflect the fatigue state of the driver through the change of the heart rate or the breathing frequency. When the driver is in a normal driving state, the heart rate or the breathing frequency will remain in a relatively stable range. When the driver is fatigued, the heart rate or the breathing frequency will change. Specifically, due to driving fatigue, the heartbeat of the driver will slow down. If the number of heartbeats is less than 20% of the standard value, it is considered as fatigue driving. Therefore, through the piezoelectric data provided by the piezoelectric film sensor 201, the fatigue driving of the driver acting on the seat cushion 100 can be monitored.

[0063] In addition, by integrating the physiological detection pad 20 and the pressure detection pad 10, the sensing data provided by the M×N sensing points of the pressure detection pad 10 and the piezoelectric data provided by the piezoelectric film sensor 201 of the physiological detection pad 20 are combined, so as to provide high-precision physiological monitoring information.

[0064] It is worth mentioning that in some embodiments, the pressure detection pad body 10 comprises a first fabric layer 1, a second fabric layer 2, and a conductive layer 3. The second fabric layer 2, the conductive layer 3, and the first fabric layer 1 are sequentially stacked along the third direction D3. The first fabric layer 1 is provided with M first conductive lines 11 arranged at intervals along the first direction D1, and the M first conductive lines 11 are arranged on the side of the first fabric layer 1 facing the conductive layer 3. The M first conductive lines 11 can be arranged on the first fabric layer 1 by weaving. The second fabric layer 2 is provided with N second conductive lines 21 arranged at intervals along the second direction D2, and the N second conductive lines 21 are arranged on the side of the second fabric layer 2 facing the conductive layer 3. When the seat cushion 100 is pressed, the first conductive lines 11 and the second conductive lines 21 in the pressed area approach each other and contact the conductive layer 3 to realize the conduction of the sensing points. The N second conductive lines 21 can be arranged on the second fabric layer 2 by weaving. The M first conductive lines 11 and the N second conductive lines 21 intersect to form MxN sensing points. When the occupant acts on the seat cushion 100, when a certain area of the pressure detection pad body 10 is pressed, the first fabric layer 1 and the second fabric layer 2 approach each other in the area, the first conductive lines 11 and the second conductive lines 21 contact each other through the conductive layer 3 at the corresponding sensing points to form electrical conduction, and obvious electrical signals (such as voltage, current, capacitance, resistance, etc.) are generated, thereby enabling the upper computer to display the signal of the corresponding area being pressed. The signals of each sensing point being pressed constitute the sensing data of the pressure detection pad body 10 with respect to pressure.

[0065] In some embodiments, the pressure detection pad body 10 further comprises an insulating layer 4, which surrounds the conductive layer 3 and is stacked between the first fabric layer 1 and the second fabric layer 2. Through the cooperation of the insulating layer 4 and the conductive layer 3, the insulating layer 4 can reduce the conductive interference between the periphery of the first fabric layer 1 and the second fabric layer 2, so that the first conductive lines 11 and the second conductive lines 21 only conduct in the area corresponding to the conductive layer 3.

[0066] In some embodiments, the pressure detection pad body 10 further comprises a first protective layer 5 and / or a second protective layer 6. The first protective layer 5 can be arranged on the side of the first fabric layer 1 away from the conductive layer 3, and the second protective layer 6 can be arranged on the side of the second fabric layer 2 away from the conductive layer 3. The first protective layer 5 and the second protective layer 6 have a protective effect, preventing the occupant from directly contacting the circuit elements and reducing damage when the physiological detection pad body 20 is connected.

[0067] It is worth mentioning that the physiological detection pad body 20 is fixedly connected to the pressure detection pad body 10 by weaving or pasting.

[0068] It is worth noting that in some embodiments, the seat cushion 100 further comprises a heating pad body 30, and along the thickness direction D3 of the seat cushion 100, the physiological detection pad body 20, the pressure detection pad body 10 and the heating pad body 30 are sequentially stacked, that is, the heating pad body 30 covers the pressure detection pad body 10, and the pressure detection pad body 10 covers the physiological detection pad body 20. Through the seat cushion 100, not only can the MxN sensing points provide sensing data for pressure detection, but also piezoelectric data can be provided through the piezoelectric film sensor 201 for physiological detection, expanding the application scenarios of the seat cushion 100. In addition, since the pressure detection pad body 10 is covered on the physiological detection pad body 20, and the heating pad body 30 is covered on the pressure detection pad body 10, when the seat cushion 100 is installed, it is not necessary to separately install the heating pad body 30, the pressure detection pad body 10 and the physiological detection pad body 20, so that the installation convenience and reliability of the seat cushion 100 can be improved. At the same time, since the pressure detection pad body 10 is covered on the physiological detection pad body 20, and the heating pad body 30 is covered on the pressure detection pad body 10, the seat cushion 100 forms a compact whole, so that the installation space occupied by the seat cushion 100 is small, and the space utilization can be improved.

[0069] It is worth noting that in some embodiments, the heating pad body 30 is provided with a heating resistance wire 301, which generates heat after being electrified, so that a warm and comfortable riding experience can be provided for the occupant on the seat cushion 100.

[0070] It is worth noting that in some embodiments, when the seat cushion 100 is arranged on the vehicle seat, the heating pad body 30 is arranged to face away from the seat, that is, closer to the occupant, and the physiological detection pad body 20 is arranged to face the seat, that is, farther away from the occupant. Through this arrangement, the heating pad body 30 is arranged close to the occupant, so that the heat generated by the heating pad body 30 is close to the occupant, and the heating pad body 30 does not need to provide high heat to meet the needs of the occupant, saving energy. At the same time, the working principle of the pressure detection pad body 10 and the physiological detection pad body 20 is to use the pressure of the occupant acting on the seat cushion 100, which is not sensitive to the distance between the occupant and the pressure detection pad body 10 and the physiological detection pad body 20, so that through this specific arrangement, less energy can be used to provide heat to the occupant, and the accuracy of the sensing data provided by the pressure detection pad body 10 and the piezoelectric data provided by the physiological detection pad body 20 can be ensured.

[0071] It is worth noting that in some embodiments, the heating pad body 30 is covered on the pressure detection pad body 10 by weaving or pasting.

[0072] It is worth mentioning that when the pressure detection mat 10 comprises the first protective layer 5 and / or the second protective layer 6, the first protective layer 5 and the second protective layer 6 protect the pressure detection mat 10, and damage of the pressure detection mat 10 caused by heat generated by the heating mat 30 can be reduced.

[0073] It is worth mentioning that in some embodiments, the heating mat 30 is connected to the first protective layer 5 by weaving or pasting.

[0074] It is worth mentioning that in some embodiments, the seat cushion 100 further comprises a circuit board 50 and a collector 40. The circuit board 50 is connected to the first conductive wire 11, the second conductive wire 21, the piezoelectric film sensor 201 and the heating mat 30 respectively for power supply. The collector 40 is arranged on the circuit board 50 and electrically connected to the circuit board 50 for collecting data of the sensing points of the pressure detection mat 10, collecting piezoelectric data of the physiological detection mat 20, and also collecting current data of the heating mat 30 and the like.

[0075] The embodiment of the present application also provides a vehicle seat, which comprises the seat cushion 100.

[0076] The embodiment of the present application also provides a fatigue driving monitoring system, which comprises the seat cushion 100 and a controller 400. ， The controller 400 is used for receiving sensing data of the MxN sensing points, analyzing the sensing data to obtain pressure data, and giving a control instruction. The controller 400 is used for receiving piezoelectric data of the piezoelectric film sensor 201 to monitor a heart rate or a breathing frequency of the occupant, and then fatigue driving monitoring is performed according to a change of the heart rate or the breathing frequency of the occupant. The controller 400 can also be connected to the heating mat 30 to control the heating mat 30 to heat. Specifically, the controller 400 can be connected to the collector 40 to obtain pressure data of the pressure detection mat and piezoelectric data of the physiological detection mat through the data collected by the collector 40. The controller 400 can also be connected to the heating mat 30 to control the heating mat 30 to heat.

[0077] It is worth mentioning that the program steps involved in the controller 400 are existing program steps, and the controller 400 is also an existing processor, for example, an I3 processor of Intel, an AMD Ryzen processor and the like.

[0078] It is worth mentioning that please refer to Figure 5 The hardware structure of the controller 400 comprises one or more processors 401 and a memory 402. Figure 5For example, one of the memories is taken as an example. The one or more modules are stored in the memory 402, and when executed by the one or more processors 401, the fatigue driving monitoring method in any of the method embodiments described below is executed.

[0079] The processor 401 and the memory 402 can be connected by a bus or other means, and in the embodiment of the present application, the connection by the bus is taken as an example.

[0080] The memory 402 is a non-volatile computer readable storage medium, which can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the fatigue driving monitoring method in the embodiment of the present application. The processor 401 executes various functional applications and data processing of the fatigue driving monitoring system by running the non-volatile software programs, instructions and modules stored in the memory 402, that is, the fatigue driving monitoring method in the method embodiments described below is implemented.

[0081] The memory 402 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created according to the use of the fatigue driving monitoring system, etc. In addition, the memory 402 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 402 can optionally include a memory remotely arranged with respect to the processor 401, and these remote memories can be connected to the fatigue driving monitoring system through a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0082] The above-mentioned products can execute the method provided by the embodiment of the present application, have the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in the embodiment can be referred to the method provided by the embodiment of the present application.

[0083] The embodiment of the present application provides a computer program product, which stores computer executable instructions, and the computer executable instructions are executed by a vehicle to execute the fatigue driving monitoring method in any of the method embodiments described below.

[0084] The embodiment of the present application provides a computer program product, which includes a computer program stored on the computer program product, and the computer program includes program instructions, and when the program instructions are executed by a computer, the computer executes the fatigue driving monitoring method in any of the method embodiments described below.

[0085] In the embodiment of the present application, through the fatigue driving monitoring system, on one hand, the sensing data of the MxN sensing points formed by the first conductive wire 11 and the second conductive wire 21 of the seat cushion 100 can be obtained, and then the pressure data can be obtained, which can be used for passenger sitting posture analysis, passenger grading, etc.; on the other hand, the piezoelectric data generated by the piezoelectric film sensor 201 of the seat cushion 100 can be obtained, so as to monitor the heart rate or breathing frequency of the passenger, and fatigue driving monitoring can be performed. When the seat cushion 100 comprises the heating cushion body 30, the passenger can also be provided with a heating experience. In addition, since the seat cushion 100 is the “two-in-one” structure of the pressure detection cushion body 10 and the physiological detection cushion body 20, or the seat cushion 100 is the “three-in-one” structure of the heating cushion body 30, the pressure detection cushion body 10 and the physiological detection cushion body 20, the seat cushion 100 forms a compact whole, so that on one hand, the seat cushion 100 is easy to install; on the other hand, the seat cushion 100 occupies a small installation space, and the fatigue driving monitoring system occupies a small space, so that the space utilization rate can be improved.

[0086] The embodiment of the present application also provides a vehicle. It should be noted that the vehicle can be a vehicle, a ship, an airplane, etc.

[0087] The system embodiments described above are only illustrative, wherein the units illustrated as separate components can or can not be physically separated, and the components illustrated as units can or can not be physical units, that is, can be located in one place, or can be distributed on multiple network units. According to actual needs, part or all of the modules can be selected to achieve the purpose of the embodiment scheme.

[0088] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be realized by means of software plus a general hardware platform, and of course can also be realized by hardware. Those skilled in the art can understand that all or part of the processes in the following embodiment methods can be completed by instructing related hardware through a computer program, and the program can be stored in a computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiment methods can be included. The storage medium can be a magnetic disc, an optical disc, a read-only memory (ROM) or a random access memory (RAM), etc.

[0089] The embodiment of the present application provides a fatigue driving monitoring method, which can be realized based on the fatigue driving monitoring system described above. Please refer to Figure 6 , which comprises the following steps:

[0090] Step S10, obtaining pressure data generated by the driver acting on the pressure detection pad body 10 of the seat cushion 100.

[0091] The pressure data is converted from the sensing data. The seat cushion 100 is arranged on the seat of the vehicle seat and corresponds to the driver's hips and legs. When the driver sits on the seat of the vehicle seat and exerts pressure on the pressure detection pad body 10 of the seat cushion 100, the pressure detection pad body 10 generates sensing data, for example, the sensing data includes electrical signals (including but not limited to voltage, current, capacitance, resistance, etc.) of each sensing point on the pressure detection pad body 10, for example, the sensing data includes the coordinates of each sensing point on the pressure detection pad body 10, for example, the sensing data includes the coordinates of the obtained electrical signals, and then the corresponding area pressure signal can be displayed on the host computer. These sensing point pressure signals constitute the pressure data.

[0092] Because the bones, height and weight of different drivers are different, the pressure exerted by each sensing point of the pressure detection pad body 10 is different, and the sensing data generated by the pressure detection pad body 10 is different. Therefore, the sensing data generated by the pressure detection pad body 10 of the seat cushion 100 of different drivers is different, and the pressure data converted accordingly is different.

[0093] Step S20, according to the pressure data, the area of the driver acting on the seat cushion 100 is divided into multiple body partitions.

[0094] For the above-mentioned pressure data, the pressure data can have multiple forms of expression.

[0095] In some embodiments, the pressure data can be a pressure distribution map. The driver exerts pressure on the pressure detection pad body 10 of the seat cushion 100, and multiple sensing points of the pressure detection pad body 10 generate sensing data, and then multiple pressure values corresponding to the sensing data generated by the multiple sensing points and coordinates are converted. After amplification and analog-digital conversion processing, the pressure distribution map can be generated in the image generator.

[0096] It should be noted that the pressure distribution map is a two-dimensional graph representing the pressure values of each sensing point. Each pixel in the pressure distribution map corresponds to a pressure value of a sensing point. The pressure distribution map can be a color map or a grayscale map.

[0097] When the driver sits on the seat cushion 100 and acts on the pressure detection pad body 10, the area of the driver acting on the seat cushion 100 will form a sitting posture contour, and in some embodiments, the contour of the pressure distribution map is the sitting posture contour. It can be understood that the sitting posture contour can also be directly obtained based on the pressure data, that is, without converting the pressure data into the pressure distribution map.

[0098] The sitting posture contour can be obtained based on the pressure values and positions of a plurality of sensing points, based on binaryzation, extracting the contour positions corresponding to the pressure values greater than the preset pressure threshold. In some embodiments, the preset pressure threshold can be set to 40 Pa, which corresponds to adult men and women. And using connectivity detection, based on the contour positions, the sitting posture contour is segmented.

[0099] Please refer to Figure 7 , Figure 7 An image of a sitting posture contour is shown. The area of the driver acting on the pressure detection pad body in Figure 7 can be divided into a left ischial division, a right ischial division, a left thigh division, and a right thigh division.

[0100] It is worth noting that in some embodiments, the pressure data not only includes pressure values, coordinates, but also gradient values. When the driver acts on the pressure detection pad body 10, the pressure values in the generated pressure data have gradient changes, that is, different areas will have different area values.

[0101] Among them, the characteristic pressure value in the left ischial division corresponds to the first key point a1, and the characteristic pressure value in the right ischial division corresponds to the second key point a2. The characteristic pressure value can be the maximum pressure value, the minimum pressure value, zero point, etc. Preferably, the maximum pressure value in the left ischial division is selected as the first key point a1, and the maximum pressure value in the right ischial division is selected as the second key point a2. Please refer to Figure 8 , Figure 8 A gradient of pressure data of a pressure detection pad body is shown, wherein the first key point a1 and the second key point a2 are located in the area with the most drastic gradient change, that is Figure 8 The two key points shown, so that the first key point a1, the second key point a2 and the gradient value Figure 8 in the gradient value can first determine the left ischium and the right ischium, and then obtain the left ischial division and the right ischial division.

[0102] Further, after the left and right ischial divisions are determined, the bifurcation points c of the left and right thighs can be determined on or near the symmetry line L of the left and right ischial divisions according to the gradient value and the pressure value. Specifically, the bifurcation points c can be selected at the intersection of the "valley" of the gradient value in the pressure distribution map and the symmetry line L of the left and right ischial divisions, and then the left and right thigh divisions can be obtained.

[0103] In step S30, piezoelectric data corresponding to the seat cushion 100 area of the driver is obtained.

[0104] When the driver acts on the seat cushion 100, the piezoelectric film sensor 201 provided on the physiological detection pad 20 can generate a piezoelectric effect according to the heartbeat and breathing of the driver, and provide piezoelectric data, so as to monitor the heart rate and breathing frequency by sensing the slight vibration caused by the heart beating, and accurately reflect the activity state of the heart in real time.

[0105] In step S40, each of the body divisions has corresponding division piezoelectric data in the piezoelectric data, and the corresponding division piezoelectric data in the same body division is calculated by weighting to obtain the life characteristic data of the driver.

[0106] The piezoelectric data can correspond to the heart rate (with characteristic value) of the driver, or can correspond to the breathing frequency (with characteristic value) of the driver.

[0107] Since the physiological detection pad 20 is provided with a plurality of piezoelectric film sensors 201, each body partition has a plurality of piezoelectric film sensors 201. When the driver sits on the seat cushion 100, the pressure detection pad 10 generates sensing data and is divided into different body partitions according to the pressure data, and triggers a plurality of piezoelectric film sensors 201, wherein each body partition will correspond to a different number of piezoelectric film sensors 201 to generate piezoelectric data. For example, there are p piezoelectric film sensors 201 in a body partition, which will generate p partition piezoelectric data, that is, the partition piezoelectric data includes n characteristic values, where n≤p, n is a positive integer, and p is a positive integer. For example, the physiological detection pad is provided with 8 piezoelectric film sensors 201, and after body partitioning according to the pressure data, there are 2 piezoelectric film sensors 201 in the left ischial partition (then the vital sign data of this partition only has at least two partition piezoelectric data sensed by the 2 piezoelectric film sensors 201 participating in the calculation), 3 piezoelectric film sensors 201 in the right ischial partition (then the vital sign data of this partition will have at least three partition piezoelectric data sensed by the 3 piezoelectric film sensors 201 participating in the calculation), 2 piezoelectric film sensors 201 in the left thigh partition (then the vital sign data of this partition will have at least two partition piezoelectric data sensed by the 2 piezoelectric film sensors 201 participating in the calculation), and 1 piezoelectric film sensor 201 in the right thigh partition (then the vital sign data of this partition will have at least one partition piezoelectric data sensed by the 1 piezoelectric film sensor 201 participating in the calculation).

[0108] In some embodiments, referring to Figure 9 , step S40, for the left ischial partition and the right ischial partition, the step of obtaining the vital sign data of the driver by performing weighted calculation on the corresponding piezoelectric data in each body partition to obtain the vital sign data of the driver, includes:

[0109] Step S4011, obtaining n weights corresponding to the n characteristic values.

[0110] It is worth noting that for any piezoelectric film sensor 201, a weight is preset, and each piezoelectric film sensor 201 provides a characteristic value of piezoelectric data corresponding to a weight, and the characteristic value of the piezoelectric film sensor 201 participates in the weighted calculation of the vital sign data in the body partition based on the weight. The corresponding weight is determined according to the detection site of the piezoelectric film sensor 201 in the body partition, such as the weight of the characteristic value of the piezoelectric film sensor 201 in the ischial partition, which is determined according to the distance from the first key point a1 and the second key point a2. For the weight of the characteristic value of the piezoelectric film sensor 201 in the thigh partition, it can be determined according to the distance from the bifurcation point c.

[0111] In step S4012, the first key point a1 corresponding to the characteristic pressure value in the left ischial division is obtained, and the second key point a2 corresponding to the characteristic pressure value in the right ischial division is obtained.

[0112] The first key point a1 and the second key point a2 can be obtained in the manner described above. In the plurality of division piezoelectric data corresponding to the left ischial division, the weight of the characteristic value is related to the distance between the detection site of the division piezoelectric data and the first key point a1, i.e., the distance between the piezoelectric film sensor 201 in the left ischial division and the first key point a1. Preferably, the first key point a1 corresponding to the maximum pressure value in the left ischial division is obtained. In the plurality of division piezoelectric data corresponding to the right ischial division, the weight of the characteristic value is related to the distance between the detection site of the division piezoelectric data and the second key point a2, i.e., the distance between the piezoelectric film sensor 201 in the right ischial division and the second key point a2. Preferably, the second key point a2 corresponding to the maximum pressure value in the right ischial division is obtained.

[0113] In step S4013, the vital sign data of the driver is obtained according to the n characteristic values and the n weights. In the plurality of division piezoelectric data corresponding to the left ischial division, the closer the distance between the characteristic value and the first key point a1, the higher the weight of the characteristic value. In the plurality of division piezoelectric data corresponding to the right ischial division, the closer the distance between the characteristic value and the second key point a2, the higher the weight of the characteristic value.

[0114] In some embodiments, referring to Figure 10 In step S40, for the left thigh division and the right thigh division, the plurality of division piezoelectric data corresponding to each body division in the piezoelectric data are weighted and calculated to obtain the vital sign data of the driver, including:

[0115] In step S4021, the n weights corresponding to the n characteristic values are obtained.

[0116] In step S4022, the bifurcation point c between the left thigh division and the right thigh division is obtained. The bifurcation point c can be obtained in the manner described above, which will not be described here.

[0117] Preferably, the bifurcation point c is selected at the intersection of the "valley" of the gradient value in the pressure distribution map and the left and right side ischium partition symmetrical line L. Among them, in the left thigh partition corresponding to a plurality of partition piezoelectric data, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point c, that is, the distance between the piezoelectric film sensor 201 in the left thigh partition and the bifurcation point c; in the right thigh partition corresponding to a plurality of partition piezoelectric data, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point c, that is, the distance between the piezoelectric film sensor 201 in the right thigh body partition and the bifurcation point c.

[0118] Step S4023, according to the n characteristic values and the n weights, the life characteristic data of the driver is calculated. Among them, in the left thigh partition corresponding to a plurality of partition piezoelectric data, the weight of the characteristic value is lower, the closer to the bifurcation point c; in the right thigh partition corresponding to a plurality of partition piezoelectric data, the weight of the characteristic value is lower, the closer to the bifurcation point c.

[0119] It is worth noting that in some embodiments, when the partition piezoelectric data includes n characteristic values, n characteristic values correspond to n weights, the piezoelectric data, each body partition has corresponding partition piezoelectric data, the corresponding partition piezoelectric data of the same body partition is weighted and calculated, and the formula for obtaining the life characteristic data of the driver is:

[0120]

[0121] Among them, T is the life characteristic data, t n is the characteristic value, k n is the weight.

[0122] It can be understood that for any body partition, the life characteristic data of the body partition can be calculated by using the above formula.

[0123] It is worth noting that the life characteristic data can be the weighted calculation value of heart rate about the body partition, or the weighted calculation value of respiratory rate about the body partition.

[0124] The calculated vital sign data is not only the data directly provided by the piezoelectric film sensor, but is a comprehensive value closely related to the body partition of the driver, so that different body partitions and different characteristic values are formed when the driver has different sitting postures, so that the physiological state of the driver can be comprehensively evaluated based on the sensing data formed by the pressure detection pad and the piezoelectric data formed by the physiological detection pad, the accuracy of the evaluation of the physiological state of the driver is improved, and the reliability of the fatigue driving monitoring is improved.

[0125] It is worth noting that, when viewed along the thickness direction of the seat cushion 100, the plurality of piezoelectric film sensors 201 are distributed and arranged, and when the body partition is performed according to the pressure data, two, four or six of the plurality of piezoelectric film sensors 201 can be located in the left thigh partition and the right thigh partition, or two, four or six of the plurality of piezoelectric film sensors 201 can be located in the left ischial partition and the right ischial partition, but all the plurality of piezoelectric film sensors 201 of the physiological detection pad 20 cannot be located in the left thigh partition or the right thigh partition or the left ischial partition or the right ischial partition at the same time, so that the calculation amount of the weighted calculation can be reduced, and the accuracy of the weighted calculation can be ensured.

[0126] In step S50, the fatigue state of the driver is judged according to the vital sign data.

[0127] The fatigue state of the driver is judged by the above monitoring data, and when it is judged that the driver is in a fatigue state, the driver can be reminded of fatigue driving.

[0128] Since there is a close relationship between heart rate or respiratory rate and fatigue driving, this relationship can reflect the fatigue state of the driver through the change of heart rate or respiratory rate. In the embodiment of the present application, the vital sign data of the driver obtained by the body partition and the piezoelectric data weighting technology will be closely related to the fatigue state of the driver. When the driver is in a normal driving state, his heart rate or respiratory rate will remain in a relatively stable range, because his vital sign data will remain in a relatively stable range. When the driver is tired, his heart rate or respiratory rate will change, and accordingly his vital sign data will change. Specifically, due to driving fatigue, the heart rate of the driver will slow down. If the number of heartbeats is less than 20% of the standard value when driving the vehicle, the vital sign data will be lower than the preset value, at which time the fatigue of the driver can be monitored. When the fatigue of the driver is monitored, a reminder can be given.

[0129] According to the vital sign data, the driver can be reminded of fatigue driving in various ways. For example, the vehicle seat can be provided with a pneumatic adjusting element, and the driver can be reminded of fatigue driving according to the vital sign data, including: monitoring the fatigue state of the driver according to the vital sign data, and sending control information to the pneumatic adjusting element to adjust the sitting posture of the driver when the driver is monitored to be fatigued.

[0130] Specifically, the pneumatic adjusting element includes a gas bag, a capsule, etc., and can be inflated or deflated. When the pneumatic adjusting element is inflated or deflated, the seat contour at the corresponding position will change, and the sitting posture of the driver supported by the corresponding contour will be adjusted accordingly.

[0131] For another example, the vehicle seat can have a vibration function, such as high-frequency inflation and deflation of the pneumatic adjusting element to generate vibration, or a vibrator is provided to provide vibration effect. When the driver is monitored to be fatigued, control vibration information is sent to start the vibration function.

[0132] For another example, the vehicle seat can have a vibration function, such as high-frequency inflation and deflation of the pneumatic adjusting element to generate vibration, or a vibrator is provided to provide vibration effect. When the driver is monitored to be fatigued, control vibration information is sent to start the vibration function.

[0133] In the embodiment of the present application, the fatigue driving monitoring method provided includes: obtaining pressure data of the driver acting on the seat cushion of the vehicle seat; partitioning the area of the driver acting on the seat cushion of the vehicle seat according to the pressure data to obtain different body partitions; obtaining piezoelectric data corresponding to the area of the seat cushion of the vehicle seat of the driver; each of the body partitions has corresponding piezoelectric data in the piezoelectric data, and the corresponding piezoelectric data in the same body partition is weighted and calculated to obtain vital sign data of the driver; and judging the fatigue state of the driver according to the vital sign data. Through this method, the area of the driver acting on the pressure detection pad is partitioned to obtain multiple body partitions, and then the piezoelectric data provided by each body partition and each piezoelectric film sensor is used to accurately provide the vital sign data of the driver, so that the fatigue state of the driver can be accurately judged, the driver can be reminded of fatigue driving, and the driving safety can be ensured. The embodiment of the present application comprehensively considers the body partitions and the piezoelectric data, so that the comprehensive vital sign data can be provided by combining the sitting posture of the driver and the piezoelectric data, and the reliability of fatigue driving can be improved.

[0134] The embodiment of the present application also provides a fatigue driving monitoring system, please refer to Figure 11The fatigue driving monitoring system 1 comprises: a first acquisition module 11, configured to acquire pressure data of a driver acting on a seat cushion 100 of a vehicle; a partition module 12, configured to partition a region of the driver acting on the seat cushion 100 of the vehicle according to the pressure data, to obtain different body partitions; a second acquisition module 13, configured to acquire piezoelectric data corresponding to the region of the seat cushion 100 of the vehicle; a calculation module 14, configured to have corresponding partition piezoelectric data in each body partition in the piezoelectric data, and to perform weighted calculation on the corresponding partition piezoelectric data in the same body partition to obtain life characteristic data of the driver; and a judgment module 15, configured to judge a fatigue state of the driver according to the life characteristic data, so as to realize fatigue driving monitoring of the driver.

[0135] In some embodiments, the partition piezoelectric data comprises n characteristic values, the different body partitions comprise left and right ischial partitions, and the pressure data comprises pressure values; the calculation module 14 comprises: a first acquisition unit 141, configured to acquire n weights corresponding to the n characteristic values; a second acquisition unit 142, configured to acquire a first key point a1 corresponding to a characteristic pressure value in the left ischial partition, and to acquire a second key point a2 corresponding to a characteristic pressure value in the right ischial partition; and a first calculation unit 143, configured to calculate the life characteristic data of the driver according to the n characteristic values and the n weights; wherein in the partition piezoelectric data corresponding to the left ischial partition, the weight of the characteristic value is related to the distance between the detection point of the partition piezoelectric data and the first key point a1; and in the partition piezoelectric data corresponding to the right ischial partition, the weight of the characteristic value is related to the distance between the detection point of the partition piezoelectric data and the second key point a2.

[0136] In some embodiments, the first calculation unit 143 is specifically configured to acquire the first key point a1 corresponding to the maximum pressure value in the left ischial partition, and in the partition piezoelectric data corresponding to the left ischial partition, the weight of the characteristic value is higher when the distance to the first key point a1 is closer; and to acquire the second key point a2 corresponding to the maximum pressure value in the right ischial partition, and in the partition piezoelectric data corresponding to the right ischial partition, the weight of the characteristic value is higher when the distance to the second key point a2 is closer.

[0137] In some embodiments, the plurality of partition piezoelectric data includes n characteristic values, different body partitions include a left thigh partition and a right thigh partition, and the pressure data includes pressure values; the calculation module 14 includes: a third acquisition unit 144 configured to acquire n weights corresponding to the n characteristic values; a fourth acquisition unit 145 configured to acquire a bifurcation point c between the left thigh partition and the right thigh partition; and a second calculation unit 146 configured to calculate, according to the n characteristic values and the n weights, the vital sign data of the driver, for example, to calculate the vital sign data corresponding to the left thigh partition and the right thigh partition, respectively. In the plurality of partition piezoelectric data corresponding to the left thigh partition, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point c; in the plurality of partition piezoelectric data corresponding to the right thigh partition, the weight of the characteristic value is related to the distance between the detection site of the partition piezoelectric data and the bifurcation point c.

[0138] In some embodiments, the plurality of partition piezoelectric data includes n characteristic values, the n characteristic values correspond to n weights, and each body partition has corresponding partition piezoelectric data in the piezoelectric data. The corresponding plurality of partition piezoelectric data of the same body partition is calculated by weighting to obtain a formula for calculating the vital sign data of the driver:

[0139]

[0140] wherein T is the vital sign data, t n is the characteristic value, k n is the weight.

[0141] In some embodiments, the vehicle seat can be provided with a pneumatic adjusting element, and the reminding module 16 is specifically configured to monitor the fatigue state of the driver according to the vital sign data, and when the fatigue of the driver is monitored, control information is sent to the pneumatic adjusting element to adjust the sitting posture of the driver, so as to realize fatigue driving reminding.

[0142] In the embodiment of the present application, the first acquisition module 11 acquires pressure data of the driver acting on the vehicle seat cushion 100; the partition module 12 partitions the area of the driver acting on the vehicle seat cushion 100 according to the pressure data, and obtains different body partitions; the second acquisition module 13 acquires piezoelectric data corresponding to the area of the vehicle seat cushion 100 of the driver; the calculation module 14 has corresponding partition piezoelectric data in each body partition in the piezoelectric data, and performs weighted calculation on the corresponding partition piezoelectric data in the same body partition to obtain the life characteristic data of the driver; the judgment module 15 is used for judging the fatigue state of the driver according to the life characteristic data, so as to realize the fatigue driving monitoring of the driver. Through the system, the area of the driver acting on the pressure detection pad body 10 is partitioned to obtain a plurality of body partitions, and then the piezoelectric data provided by each body partition and each piezoelectric film sensor 201 is used to accurately provide the life characteristic data of the driver, so that the fatigue state of the driver can be accurately judged, the driver is reminded of the fatigue driving, and the driving safety is ensured.

[0143] The embodiment of the present application comprehensively considers the body partition and the piezoelectric data, so that the comprehensive life characteristic data can be provided by combining the sitting posture of the driver and the piezoelectric data, and the reliability of the fatigue driving can be improved.

[0144] The fatigue driving monitoring method provided by the embodiment of the application is applied to a vehicle seat, and the vehicle seat has a seat cushion 100. The fatigue driving monitoring method comprises the following steps: acquiring pressure data of a driver acting on the seat cushion 100 of the vehicle seat; dividing the area of the seat cushion 100 of the vehicle seat acted on by the driver according to the pressure data to obtain different body partitions; acquiring piezoelectric data corresponding to the area of the seat cushion 100 of the vehicle seat acted on by the driver; in the piezoelectric data, each body partition has corresponding piezoelectric data of a plurality of partitions, the piezoelectric data of the corresponding plurality of partitions in the same body partition is calculated by weighting, and the vital sign data of the driver is obtained; and the fatigue state of the driver is judged according to the vital sign data, so that the fatigue driving monitoring of the driver is realized. Through the method, the area of the pressure detection cushion body 10 acted on by the driver is divided to obtain a plurality of body partitions, and then the piezoelectric data provided by each body partition and each piezoelectric film sensor 201 is used to accurately provide the vital sign data of the driver, including but not limited to heart rate, respiratory rate, body temperature, pressure distribution, muscle activity and posture change, etc. These data can reflect the physiological state of the driver in real time, so as to evaluate the fatigue degree, health condition and driving ability of the driver. By analyzing these vital sign data, the abnormal conditions of the driver, such as arrhythmia, excessive fatigue or potential health problems, can be found in time, and then preventive measures can be taken, such as reminding the driver to rest or automatically adjusting the vehicle settings to improve driving safety. In addition, these data can also be used for personalized adjustment of the cockpit environment, such as seat position, temperature and ventilation, to improve the comfort and overall driving experience of the driver.

[0145] The embodiment of the application comprehensively considers the body partitions and the piezoelectric data, so that the high-precision vital sign data can be provided by combining the sitting posture of the driver and the piezoelectric data, and the reliability of the fatigue driving monitoring can be improved. At the same time, since the body partitions are divided, when the vital sign data of the driver for fatigue driving monitoring is acquired, the piezoelectric data in the same body partition is calculated by weighting according to the correlation, so that the accuracy of the acquired vital sign data is effectively improved, and the piezoelectric data included in the calculation in the same body partition is reduced, so that the calculation burden can be effectively saved.

[0146] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, but not limited to them; under the idea of the present application, the technical features of the above examples or different examples can also be combined, the steps can be implemented in any order, and there are many other changes of different aspects of the present application as described above, which are not provided in details for simplicity; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for monitoring driver fatigue, characterized in that, Applied to a vehicle seat, the vehicle seat having a seat cushion; the method includes: Acquire pressure data of the driver acting on the vehicle seat cushion; Based on the pressure data, the area where the driver applies pressure to the vehicle seat cushion is divided into different body zones. Obtain the piezoelectric data of the driver corresponding to the area of ​​the vehicle seat cushion; In the piezoelectric data, each of the body partitions has corresponding piezoelectric data for several partitions. Each piezoelectric data set includes n feature values. The different body partitions include the left ischium partition and the right ischium partition. The pressure data includes pressure values. Weighted calculations are performed on the corresponding piezoelectric data for the same body partition to obtain the driver's vital signs data. This includes obtaining n weights corresponding to the n feature values; obtaining the first key point corresponding to the feature pressure value in the left ischium partition; obtaining the second key point corresponding to the feature pressure value in the right ischium partition; and calculating the driver's vital signs data based on the n feature values ​​and the n weights. Specifically, in the piezoelectric data for the left ischium partition, the weight of the feature value is related to the distance between the detection point of the piezoelectric data for that partition and the first key point; in the piezoelectric data for the right ischium partition, the weight of the feature value is related to the distance between the detection point of the piezoelectric data for that partition and the second key point. Based on the vital signs data, the driver's fatigue status is determined.

2. The method according to claim 1, characterized in that, Obtain the first key point corresponding to the maximum pressure value in the left ischium region. In the piezoelectric data of several regions corresponding to the left ischium region, the feature value closer to the first key point has a higher weight. And / or, The second key point is obtained corresponding to the maximum pressure value in the right ischium region. Among the piezoelectric data of several regions corresponding to the right ischium region, the feature value that is closer to the second key point has a higher weight.

3. The method according to any one of claims 1-2, characterized in that, The piezoelectric data of the body regions includes n feature values, each corresponding to a weight. Each body region in the piezoelectric data has several corresponding piezoelectric data points. The formula for obtaining the driver's vital signs data by weighting the corresponding piezoelectric data points of the same body region is as follows: Among them, the The vital sign data, the The feature value is the value of the feature. The weight is denoted as .

4. A fatigue driving monitoring system, characterized in that, The device includes a vehicle seat with a seat cushion. The seat cushion includes stacked physiological detection pads and pressure detection pads. The physiological detection pads are used to detect piezoelectric data of the driver corresponding to the seat cushion area of ​​the vehicle seat, and the physiological detection pads are provided with multiple piezoelectric thin film sensors. The pressure detection pads are used to detect pressure data exerted by the driver on the vehicle seat cushion. The system further includes a controller for receiving piezoelectric data from the physiological detection pad and pressure data from the pressure detection pad, and the controller is used to perform the method of any one of claims 1-3.

5. The fatigue driving monitoring system according to claim 4, characterized in that, The pressure detection pad includes M first conductive lines spaced apart along a first direction and N second conductive lines spaced apart along a second direction. The M first conductive lines and the N second conductive lines intersect each other to form M×N sensing points. Projecting along the thickness direction of the seat cushion, each of the piezoelectric thin film sensors is offset from each of the first conductive lines, and each of the piezoelectric thin film sensors is offset from each of the second conductive lines.

6. A driver fatigue warning system, characterized in that, The system includes the fatigue driving monitoring system according to any one of claims 4-5; the fatigue driving reminder system further includes a pneumatic adjustment element for performing inflation and deflation according to control information issued by the controller to adjust the driver's seating posture.

7. A means of transportation, characterized in that, It includes the fatigue driving monitoring system as described in any one of claims 4-5, or the fatigue driving reminder system as described in claim 6.

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