CN113593184A - Method for restraining fatigue driving and related device - Google Patents

Method for restraining fatigue driving and related device Download PDF

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Publication number
CN113593184A
CN113593184A CN202110822968.2A CN202110822968A CN113593184A CN 113593184 A CN113593184 A CN 113593184A CN 202110822968 A CN202110822968 A CN 202110822968A CN 113593184 A CN113593184 A CN 113593184A
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target person
fatigue
target
driver
preset
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CN113593184B (en
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周龙飞
赵华
徐胜红
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Shenzhen Chuanhai Technology Co ltd
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Shenzhen Chuanhai Technology Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/06Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/016Personal emergency signalling and security systems
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/01Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
    • G08B25/08Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B3/00Audible signalling systems; Audible personal calling systems
    • G08B3/10Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Electromagnetism (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application is suitable for the technical field of intelligent driving assistance, and provides a method for inhibiting fatigue driving and a related device, which can effectively inhibit fatigue of a driver as a target person, and further promote the driver to keep clear-headed for a period of time, so that the driver can find a proper parking place for parking and rest by utilizing the period of time, and further reduce vehicle driving accidents caused by fatigue driving of the target person. The embodiment of the method for restraining fatigue driving comprises the following steps: monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab; judging whether the target person is in a fatigue state or not according to the target physiological characteristic data; and if the target person is in a fatigue state, starting a preset intelligent voice system to play audio content, wherein the audio content is related to the target person.

Description

Method for restraining fatigue driving and related device
Technical Field
The application belongs to the technical field of intelligent driving assistance, and particularly relates to a method for restraining fatigue driving and a related device.
Background
With the continuous development of economic society and the increasing of technology level, automobiles become indispensable transportation tools in people's life. Automobiles are widely used for transporting people and/or goods, drivers of automobiles are prone to fatigue (such as lack of rest and sleep, long-time driving and the like) due to various reasons during driving, drivers in fatigue driving states have the problems that drivers are in a tired state and the like and cannot keep clear-headed driving, and further traffic problems that the driven automobiles deviate from driving roads or collide with other automobiles and the like can occur, and traffic accidents of the automobiles are easily caused.
In the prior art, an effective solution for a driver in a fatigue state is not provided, and the driver is usually reminded to take a rest by mechanical voice only according to the driving time of the driver, so that the driver cannot be effectively restrained from fatigue, and the driver is enabled to be conscious.
Disclosure of Invention
The embodiment of the application provides a method and a related device for restraining fatigue driving, which aim to effectively restrain fatigue of a driver and further prompt the driver to be awake for a period of time, so that the driver can find a proper parking place for parking and resting by using the period of time.
The first aspect of the present application provides a method for suppressing fatigue driving, including:
monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab;
judging whether the target person is in a fatigue state or not according to the target physiological characteristic data;
and if the target person is in a fatigue state, starting a preset intelligent voice system to play audio content, wherein the audio content is related to the target person.
Optionally, after the target person is in a fatigue state and before a preset intelligent voice system is started to play audio content, the method further includes:
determining the fatigue degree of the target person according to the physiological characteristic data;
the starting of the preset intelligent voice system to play the audio content comprises the following steps:
and starting the intelligent voice system to play the corresponding audio content according to different fatigue degrees of the target person.
Optionally, the starting, by the intelligent speech system, the playing of the corresponding audio content according to the different fatigue degrees of the target person includes:
if the fatigue degree of the target person meets a first preset condition, determining that the target person is in a first-level fatigue state;
starting a voice reminding function corresponding to the primary fatigue state preset in the intelligent voice system;
if the fatigue degree of the target person meets a second preset condition, determining that the target person is in a secondary fatigue state;
starting an interest point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state;
if the fatigue degree of the target person meets a third preset condition, determining that the target person is in a third-level fatigue state;
and starting a physical awakening device which is preset in the intelligent voice system and corresponds to the three-stage fatigue state.
Optionally, the starting of the interest-on-demand playback preset in the intelligent voice system and corresponding to the secondary fatigue state includes:
acquiring social content data of the social software of the target person;
generating first text content according to the social content data;
playing the first text content;
or the like, or, alternatively,
obtaining news hotspot data in the current time period, wherein the news hotspot data is related to a preset interest point of the target person;
generating second text content according to the news hotspot data;
playing the second text content;
or the like, or, alternatively,
and playing preset audio content.
Optionally, the physical wake-up apparatus includes: one or more of an oxygenation device, a refreshing medicament atomization device and a cold strong wind attacking device.
Optionally, after obtaining the target physiological characteristic data of the target person, the method further includes:
judging whether the target person is in an abnormal state or not according to the target physiological characteristic data, wherein the abnormal state is a driving incapacity state;
and if the target person is in the abnormal state, immediately sending an abnormal message to a preset emergency contact person, wherein the abnormal message comprises position information, and the abnormal message is one or more of characters, pictures and videos.
Optionally, after the preset intelligent voice system is started to play the audio content, the method further includes:
receiving a closing instruction of the intelligent voice system, wherein the closing instruction is a voice instruction or a physical key instruction;
and closing the intelligent voice system according to the closing instruction.
A second aspect of the present application provides a fatigue driving suppressing device, including:
the monitoring unit is used for monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab;
the judging unit is used for judging whether the target person is in a fatigue state according to the target physiological characteristic data;
and the starting unit is used for starting a preset intelligent voice system to play audio content if the target person is in a fatigue state, wherein the audio content is related to the target person.
Optionally, the fatigue driving suppressing device further includes:
the determining unit is used for determining the fatigue degree of the target person according to the physiological characteristic data;
when the starting unit starts a preset intelligent voice system to play audio contents, the starting unit is specifically used for:
and starting the intelligent voice system to play the corresponding audio content according to different fatigue degrees of the target person.
Optionally, when the starting unit starts the intelligent voice system to play the corresponding audio content according to the different fatigue degrees of the target person, the starting unit is specifically configured to:
if the fatigue degree of the target person meets a first preset condition, determining that the target person is in a first-level fatigue state;
starting a voice reminding function corresponding to the primary fatigue state preset in the intelligent voice system;
if the fatigue degree of the target person meets a second preset condition, determining that the target person is in a secondary fatigue state;
starting an interest point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state;
if the fatigue degree of the target person meets a third preset condition, determining that the target person is in a third-level fatigue state;
and starting a physical awakening device which is preset in the intelligent voice system and corresponds to the three-stage fatigue state.
Optionally, when the starting unit starts an interest point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state, the starting unit is specifically configured to:
acquiring social content data of the social software of the target person;
generating first text content according to the social content data;
playing the first text content;
or the like, or, alternatively,
obtaining news hotspot data in the current time period, wherein the news hotspot data is related to a preset interest point of the target person;
generating second text content according to the news hotspot data;
playing the second text content;
or the like, or, alternatively,
and playing preset audio content.
Optionally, the physical wake-up apparatus includes: one or more of an oxygenation device, a refreshing medicament atomization device and a cold strong wind attacking device.
Optionally, the fatigue driving suppressing device further includes:
the judging unit is further used for judging whether the target person is in an abnormal state or not according to the target physiological characteristic data, and the abnormal state is a driving incapacity state;
and the sending unit is used for immediately sending an abnormal message to a preset emergency contact person if the target person is in the abnormal state, wherein the abnormal message comprises position information, and the abnormal message is one or more of characters, pictures and videos.
Optionally, the fatigue driving suppressing device further includes:
the receiving unit is used for receiving a closing instruction of the intelligent voice system, wherein the closing instruction is a voice instruction or a physical key instruction;
and the closing unit is used for closing the intelligent voice system according to the closing instruction.
A third aspect of the present application provides a computer device comprising:
the system comprises a processor, a memory, a bus, an input/output interface, a wireless network interface and an audio player;
the processor is connected with the memory, the input/output interface, the wireless network interface and the audio player through a bus;
the memory stores a program;
the processor, when executing the program stored in the memory, implements the method of suppressing fatigue driving according to any one of the first aspect described above.
A fourth aspect of the present application provides a computer storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the method of suppressing fatigue driving according to any one of the preceding first aspects.
A fifth aspect of the present application provides a computer program product which, when executed on a computer, causes the computer to perform the method of suppressing fatigue driving as set forth in any one of the preceding first aspects.
According to the technical scheme, the embodiment of the application has the following advantages:
the method for restraining fatigue driving obtains target physiological characteristic data of a target person by monitoring the physiological characteristic data of the target person in a target area, wherein the target area refers to a driver position area in a cab, so that the target physiological characteristic data of the driver serving as the target person can be continuously monitored; and judging whether the driver is in a fatigue state according to the target physiological characteristic data, and starting a preset intelligent voice system to play audio content when the driver is in the fatigue state, wherein the audio content is related to the driver as a target person. The audio content that intelligent voice system broadcast in the embodiment of this application is relevant with the driver, and such audio content can arouse driver's interest more easily, and then can help the driver to restrain tiredly effectively for the driver keeps the clear-headed of a period of time, and then strives for certain time to find suitable place parking and rest for the driver, thereby reduces the vehicle driving accident because driver fatigue brings.
Drawings
FIG. 1 is a schematic flow chart illustrating an embodiment of a method for suppressing fatigue driving according to the present application;
FIG. 2 is a schematic flow chart illustrating another embodiment of the fatigue driving suppression method of the present application;
FIG. 3 is a schematic flow chart illustrating another embodiment of the method for suppressing fatigue driving according to the present application;
FIG. 4 is a schematic flow chart illustrating another embodiment of the fatigue driving suppression method of the present application;
FIG. 5 is a schematic flow chart illustrating another embodiment of the fatigue driving suppression method of the present application;
FIG. 6 is a schematic structural diagram of an embodiment of the fatigue driving suppression device according to the present application;
FIG. 7 is a schematic structural diagram of another embodiment of the fatigue driving suppressing device according to the present application;
FIG. 8 is a schematic structural diagram of an embodiment of a computer device according to the present application.
Detailed Description
The embodiment of the application provides a method and a related device for restraining fatigue driving, which aim to effectively restrain fatigue of a driver and further prompt the driver to keep clear mind for a period of time so that the driver can find a proper parking place for parking and resting by utilizing the period of time.
It should be noted that, usually, a target person (driver) in fatigue driving can only relieve fatigue by sleep supplementation, but the present application does not make the driver forcibly get rid of the fatigue driving state, but temporarily suppresses the fatigue state of the driver, and further prompts the driver to keep a clear head, so that the driver can find a suitable parking place to have a rest and sleep supplementation in the clear head state.
Referring to fig. 1, an embodiment of a method for suppressing fatigue driving of the present application includes:
101. and monitoring physiological characteristic data of the target person in the target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in the cab.
According to the embodiment of the application, the physiological characteristics of the target personnel in the target area can be monitored through the preset monitoring equipment, and then the physiological characteristic data of the target personnel can be acquired. It should be noted that the target area in the present embodiment generally refers to a driver position area in a cab, for example, a driver position area in a cab of an automobile, that is, the target person in this case corresponds to a driver of the automobile. It is understood that the target person is not limited to the driver of the automobile, and may also be the driver of a vehicle such as a ship, for example, and the embodiment of the present application is only illustrated by taking the target person as the driver of the automobile. The monitoring device in this embodiment may be selected according to the actual situation to be monitored, for example, the monitoring device may be: one or more of a camera, an air composition monitor, an intelligent bracelet and the like.
The monitoring device in the embodiment of the present application takes an infrared camera carrying a neural network model as an example for explanation, that is, the neural network model of the infrared camera can identify whether the driver is in a fatigue state by analyzing image data acquired by the infrared camera. The infrared camera is loaded with a neural network chip, the neural network chip can identify a target person for an image shot by the infrared camera, and then physiological characteristic data of the target person can be acquired by the infrared camera for associated recording, wherein the target physiological characteristic data includes but is not limited to: the body temperature (particularly the forehead temperature of the driver, which is relatively easy to obtain through an infrared camera because the forehead temperature rises when people are trapped), the blinking frequency of the driver, the closing time of the eyelid of the driver, the yawning times of the mouth of the driver, the moving track of the midpoint of the connecting line between the two eyes and the pupil of the driver and the like. The infrared camera with the neural network model recognition function can continuously monitor a target area, when a target person (driver) appears in the target area, a target image is collected for the target person, the identity of the target person is recognized, if the target person is determined to be a new driver (a user which is not inquired in a database connected with the infrared camera), a new driver user portrait is established for recording, and if the target person is determined to be a driver user which can be inquired and associated in the database, the associated driver user portrait is called for associated recording. The driver user profile creation of the target person (driver) appearing in the target area is beneficial to determining whether the driver is the same person or not, so that the personalized service can be provided in the subsequent steps.
102. Judging whether the target person is in a fatigue state according to the target physiological characteristic data, and if the target person is in the fatigue state, executing a step 103; if the target person is not in a fatigue state, step 101 is executed.
After the target physiological characteristic data of the target person is obtained by the monitoring device in step 101, this step may further determine whether the target person is in a fatigue state according to the target physiological characteristic data. For example, in the above embodiment, the infrared camera may load a preset neural network model through the overlapped neural network chip to perform comprehensive analysis on the target physiological characteristic data of the driver in the image, and directly draw a conclusion whether the driver is in a fatigue state.
The preset neural network model is a trained neural network model that can realize fatigue state recognition of a target person in image data, for example: one or more of a VGG network (visual geometry group), a residual network (net), and a mobile net. The trained neural network model may be stored in the memory of the infrared camera of the above-described embodiment so as to be called by the neural network chip of the infrared camera. The training of the neural network model can be performed by collecting image data of a driver in the public transportation field as a training sample (image data in driving videos of a bus driver, a taxi reservation driver and the like), and performing label classification (for example, the label classification is a fatigue state or a non-fatigue state) on a combination of physiological characteristic data of the driver in different training samples by combining with manual work if necessary, so as to facilitate the training of the neural network model and obtain the trained neural network model capable of realizing the recognition of the fatigue state of a target person in the image data.
Therefore, the infrared camera of the embodiment can monitor and obtain the physiological characteristic data of the driver in the monitored area, and the trained neural network model can quickly obtain the conclusion whether the driver is in the fatigue state according to various physiological characteristic combinations of the driver in the image data according to the physiological characteristic data of the driver.
103. And starting a preset intelligent voice system to play audio content, wherein the audio content is related to the target person.
It can be understood that, in the present application, an intelligent speech system needs to be preset, and the intelligent speech system at least comprises a processor, a memory and an audio player, wherein the memory stores preset audio contents to be played, and the processor can control the audio player to play the audio contents stored in the memory, and the audio contents need to be related to a target person, that is, related to a driver, such as: the audio content is heavy metal rock music, jokes, chapters and the like which are pre-recorded by the driver.
It can be understood that the intelligent voice system in this embodiment may be integrated with the monitoring device to form a fatigue driving prevention device. The intelligent voice system can receive a signal of fatigue state of a driver sent by the monitoring equipment to start playing audio content, and the monitoring equipment and the intelligent voice system in the fatigue driving prevention device can obtain power supply through a power interface provided in a cab, can also adopt a built-in battery for power supply, and are not limited specifically herein.
In another embodiment, the intelligent voice system of the embodiment of the present application may further integrate a wireless communication function module, so that the intelligent voice system may be connected to the internet at any time, and the audio content herein may also be a text content that is obtained by using a crawler technology under authorization of a driver and is used for setting up a presentation of the relevant content, and then the text content is read and played by using voice. Examples are as follows: the intelligent voice system can acquire and analyze the content of the WeChat friend circle of the driver under the condition that the user authorizes in advance, and when the dynamic state of a friend not consulted by the driver is found in the WeChat friend circle of the driver, text content can be formed on the basis of the above, wherein the name of the friend is Zhang III, and the dynamic state of a WeChat friend circle published by Zhang III is 'beautiful scenery with good wine, pleasant on the weekend', and then the Kangshan question text content can be formed according to the following formula: "do you know? When a target person suddenly knows an unknown and related thing, the interest of the target person can be effectively aroused, and the target person is further aroused to be awake.
In another embodiment, on the premise that the intelligent voice system has the function of connecting to the internet at any time, the audio content of the intelligent voice system may also be broadcasted by searching news hotspots of interest from the internet according to a preset portrait of the driver user, for example: the label of the driver user portrait is XXX actor fan, and the latest information disclosed by the XXX actor can be acquired and played in the internet through a crawler technology; or the label of the driver user portrait is a researcher in a certain technical field, and the latest research result in the certain technical field can be acquired and played in the internet through the crawler technology; alternatively, when the tag representing the driver user image is not established, hot content or the like from the internet can be acquired and played by the crawler technology.
In another embodiment, the smart voice system in the embodiment of the present application may further be integrated with a microphone, so that the smart voice system receives a voice command of the driver through the microphone. For example: when the audio content played by the intelligent voice system is not the interest of the driver, the interest tendency of the driver to the played audio content can be received through the microphone (the intelligent voice system is required to skip the currently played audio content through a voice command, and a next piece of audio content is directly played, or the interest content required to be played is directly received through the voice command, and the like), so that the establishment and the improvement of the label of the user portrait of the driver can be completed, and the intelligent voice system can gradually know and match the preferences of different drivers in the using process. The intelligent voice system plays the audio content related to the preference of the driver when the driver is in the fatigue state, can effectively arouse the interest of the driver, and further can effectively enable the driver to be clear and realize effective inhibition of the fatigue state.
In another embodiment, in the embodiment of the present application, the microphone integrated with the intelligent voice system is in a normally open state, so that the intelligent voice system can receive a voice instruction of the driver (for example, the driver sends a voice instruction of "start the intelligent voice system") at any time through the normally open microphone to start, so as to be used in a scenario where the intelligent voice system is started without passing through a fatigue state signal of the monitoring device. That is to say, according to the scheme of the embodiment of the application, the intelligent voice system can be used (for example, the intelligent voice system is controlled to activate the interest point playing function) when the driver is not in the fatigue state, so that the driver is prevented from entering the fatigue state in advance.
Therefore, the method for restraining fatigue driving obtains target physiological characteristic data of the target person by monitoring the physiological characteristics of the target person in the target area, wherein the target area refers to a position area of a driver in a cab, so that the target physiological characteristic data of the driver serving as the target person can be continuously monitored; and judging whether the driver is in a fatigue state according to the target physiological characteristic data, and starting a preset intelligent voice system to play audio content when the driver is in the fatigue state, wherein the audio content is related to the driver as a target person. The audio content that intelligent voice system broadcast in the embodiment of this application is relevant with the driver, and such audio content can arouse driver's interest more easily, and then can help the driver to restrain tiredly effectively, keeps the driver clear and admirable, and then strives for certain time for the driver to find suitable place and stop the rest to reduce the vehicle driving accident because driver fatigue brings.
Referring to fig. 2, another embodiment of the method for suppressing fatigue driving of the present application includes:
201. and monitoring physiological characteristic data of the target person in the target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in the cab.
The execution of this step is similar to step 101 in the embodiment of fig. 1, and is not described herein again.
202. Judging whether the target person is in a fatigue state according to the target physiological characteristic data, and if the target person is in the fatigue state, executing a step 203; if the target person is not in a fatigue state, step 201 is executed.
The execution of this step is similar to step 102 in the embodiment of fig. 1, and is not described herein again.
203. And determining the fatigue degree of the target person according to the physiological characteristic data.
In the embodiment of the present application, on the basis of step 202, a hierarchical description is performed on a target person (i.e., a driver) in a fatigue state, that is, the monitoring device should further have an ability to classify the fatigue state of the driver, so that this step determines a level corresponding to a fatigue degree of the driver.
For example: the neural network model mounted on the infrared camera as the monitoring device in the foregoing embodiment of fig. 1 should have the capability of grading the tired driver, so that it can directly recognize and output the signal whether the driver is in a tired state and the fatigue degree (for example, a first-stage fatigue state, a second-stage fatigue state, a third-stage fatigue state, etc.) when the driver is in a tired state from the image data captured by the infrared camera in real time. In order to make the neural network model have a function of describing the target person (i.e., the driver) in the fatigue state in a hierarchical manner, corresponding label classification (for example, label classification into a non-fatigue state, a first-level fatigue state, a second-level fatigue state, a third-level fatigue state, and the like) may be performed on the training samples during training of the neural network model, and the neural network model may have a function of describing the target person (i.e., the driver) in the fatigue state in a hierarchical manner after training of the training samples classified by the labels, and the training process of the neural network model is a mature technical scheme and is not described here.
204. And starting the intelligent voice system to play corresponding audio contents according to different fatigue degrees of the target person.
After determining the fatigue degree of the target person in step 203, the present embodiment may start playing the corresponding audio content according to the different fatigue degrees of the target person. Examples are as follows:
if the fatigue degree of the target person meets a first preset condition, the target person is determined to be in a first-level fatigue state, the first preset condition can be set according to an actual situation, for example, the first-level fatigue state belongs to a mildest level corresponding to the fatigue state, the first preset condition corresponding to the first-level fatigue state is that target physiological characteristic data of the target person (namely a driver) monitored by the monitoring device are in a mildest numerical range when the target physiological characteristic data of the target person meet the fatigue state, at the moment, the driver is aware of clear consciousness and occasionally has the condition that yawning and the like meet the first preset condition, then the monitoring device sends a starting signal corresponding to the first-level fatigue state to the intelligent voice system, and then the voice reminding function corresponding to the corresponding first-level fatigue state preset in the intelligent voice system is started. For example, the intelligent voice system plays voices such as "please pay attention to driving safety and find a place to stop and rest as soon as possible" to remind the driver, and the voices can be stored in a memory of the intelligent voice system in advance.
If the embodiment of the present application determines that the fatigue degree of the target person meets the second preset condition, it determines that the target person is in the secondary fatigue state, where the second preset condition may also be set according to an actual situation, but the second preset condition should not intersect with the first preset condition, so as to avoid execution errors, for example, the secondary fatigue state belongs to a medium level corresponding to the fatigue state, and the second preset condition corresponding to the secondary fatigue state is a medium numerical range when the monitoring device monitors that the target physiological characteristic data of the target person (i.e., the driver) meets the fatigue state, at this time, the consciousness of the driver is relatively clear, and the driver is strengthening the spirit to find a place to stop and rest, in this embodiment, the driver needs to strengthen the spirit for a certain time, so that the driver has a relatively good spirit state to go down a highway or find a place suitable to stop and rest within a certain time, the monitoring equipment sends a starting signal corresponding to the secondary fatigue state to the intelligent voice system at the moment, and then the interest playing function corresponding to the secondary fatigue state preset in the intelligent voice system can be started. For example, the intelligent voice system plays the audio contents of heavy metal rock music, phase sounds, jokes, chapters and the like which are pre-recorded into the memory by the driver in the embodiment of fig. 1; or, the intelligent voice system obtains the social content data of the social software of the target person through the internet at this time, generates a first text content according to the social content data, and then plays the first text content, which may specifically refer to step 103 in the embodiment of fig. 1; or, the intelligent speech system may also obtain the news hotspot data in the current time period through the internet at this time, generate the second text content according to the news hotspot data, and play the second text content, which may specifically refer to step 103 in the embodiment of fig. 1. In addition, the intelligent voice system of the embodiment may further receive a switching instruction of the target person for the played content through the microphone, adjust the content played by the interest-point playing function according to the switching instruction, and record the preference of the target person at the same time.
If the fatigue degree of the target person meets the third preset condition, determining that the target person is in a three-level fatigue state; the third preset condition may also be set according to the actual situation, but the third preset condition should not intersect with the first preset condition and the second preset condition, so as to avoid execution errors, for example, the third-level fatigue state belongs to a severe grade corresponding to the fatigue state, and the third preset condition corresponding to the third-level fatigue state is that the target physiological characteristic data of the target person (i.e. the driver) monitored by the monitoring equipment conforms to a severe numerical range of the fatigue state, at this time, the consciousness of the driver is relatively free and fuzzy, the driver is in a state of strengthening spirit and finding a place to stop for a rest, but the parking rest place is probably far away, the current road section does not support parking, at the moment, the monitoring equipment of the embodiment sends a starting signal corresponding to the three-level fatigue state to the intelligent voice system, and further, on the basis of the point of interest playing function in the foregoing embodiment, a physical awakening device corresponding to the three-level fatigue state is preset in the intelligent voice system. For example, the physical wake-up device includes: one or more of an oxygenation device, a refreshing medicament atomization device, a cold strong wind attacking device and the like. The oxygen increasing device can release a large amount of oxygen into the cab, so that the concentration of the oxygen sucked by the driver in a short time is higher, the blood circulation of the driver can be accelerated, the metabolism capability of the driver is improved, the brain of the driver obtains more energy to keep sober, and the sober state of the driver can be quickly improved in the air oxygen concentration environment with high proportion; the refreshing medicament atomization device can atomize and release a refreshing atomized medicament into the cab, for example, the atomized medicament can be used as a medicament for atomizing substances such as mint, musk, agastache rugosus vital qi, cooling oil and the like, and the atomized medicament can be inhaled by a driver to quickly improve the sobering state degree of the driver in a short time; start cold strong wind and attack a device and blow to driver's face, the cold air of flow can make driver's face temperature decline, and then arouses people's stress response and keeps vigilant, compares in the tradition indoor cold wind circulating device in the driver's cabin more effectively to make the driver keep sober.
It can be seen that when the driver is in a fatigue state, a series of adverse reactions occur in physiology and psychology, such as drowsiness, psychological dysphoria, reaction retardation, and judgment ability degradation. When the driver is in the mildest level of fatigue, situations such as slowness and errors in gear shifting are the most common; when the driver is in a severe level of fatigue driving, serious adverse consequences may be caused, such as sudden sleep state entry leading to vehicle runaway and the like. If in reality, once the driver has the problem, traffic accidents are inevitably caused, and the life and property safety of people is seriously threatened. The embodiment of the application can grade drivers in fatigue states with different fatigue degrees, different solutions are adopted according to different fatigue degree grades, so that the waking state of the drivers is kept or improved on the premise that driving safety is not influenced as much as possible, the solutions are related to the drivers serving as target personnel, effective fatigue inhibition is further performed on the drivers, the drivers are enabled to be awake, proper places are found for the drivers to have a rest in a certain time, and therefore vehicle driving accidents caused by fatigue driving are reduced.
Referring to fig. 3, another embodiment of the method for suppressing fatigue driving of the present application includes:
301. and monitoring physiological characteristic data of the target person in the target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in the cab.
The execution of this step is similar to step 101 in the embodiment of fig. 1, and is not described herein again.
302. Judging whether the target person is in a fatigue state according to the target physiological characteristic data, and executing a step 303 if the target person is in the fatigue state; if the target person is not in a tired state, step 301 is executed.
The execution of this step is similar to step 102 in the embodiment of fig. 1, and is not described herein again.
303. Judging whether the current displacement speed is 0, if so, executing the step 301; if the current displacement speed is not 0, go to step 304.
It can be understood that, in the embodiment of the present application, the monitoring device is continuously operated, that is, the monitoring device is synchronously started in a state where the vehicle is started, so as to continuously monitor the physiological characteristic state of the driver, but the intelligent voice system of the embodiment of the present application is started according to a specific signal sent by the monitoring device, when step 302 determines that the driver is in a fatigue state or determines that the driver is in one of fatigue levels of the fatigue state, this step further needs to further determine whether the current displacement speed is O, that is, to determine whether the current vehicle is driving, the intelligent voice system of the embodiment is triggered only when the vehicle is driving, so as to reduce waste of energy, and also avoid that the driver mistakenly starts the intelligent voice system when the vehicle is resting in the driving area. The function of determining the current displacement speed in the step can be realized by arranging a desired sensor in the monitoring equipment, such as a speed sensor; in another embodiment, the function of the step may be indirectly obtained through a corresponding sensor on the mobile phone after the function is paired with the mobile phone of the driver, and the determination and obtaining mode of the current displacement speed in the step is not limited here.
304. And determining the fatigue degree of the target person according to the physiological characteristic data.
The execution of this step is similar to step 203 in the embodiment of fig. 2, and is not described herein again.
305. And starting the intelligent voice system to play corresponding audio contents according to different fatigue degrees of the target person.
The execution of this step is similar to step 204 in the embodiment of fig. 2, and is not described herein again.
Referring to fig. 4, another embodiment of the method for suppressing fatigue driving of the present application includes:
401. and monitoring physiological characteristic data of the target person in the target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in the cab.
The execution of this step is similar to step 101 in the embodiment of fig. 1, and is not described herein again.
402. Judging whether the target person is in a fatigue state according to the target physiological characteristic data, and if the target person is in the fatigue state, executing a step 403; if the target person is not in a tired state, step 401 is executed.
The execution of this step is similar to step 102 in the embodiment of fig. 1, and is not described herein again.
403. Judging whether the current displacement speed is 0 or not, and if the current displacement speed is 0, executing a step 401; if the current displacement velocity is not 0, go to step 404.
The execution of this step is similar to step 303 in the embodiment of fig. 3, and is not described herein again.
404. And determining the fatigue degree of the target person according to the physiological characteristic data.
The execution of this step is similar to step 203 in the embodiment of fig. 2, and is not described herein again.
405. And starting the intelligent voice system to play corresponding audio contents according to different fatigue degrees of the target person.
The execution of this step is similar to step 204 in the embodiment of fig. 2, and is not described herein again.
406. If the front displacement speed is 0 and the preset duration lasts, the intelligent voice system is closed; or if the front position is located in a preset safe area, the current displacement speed is 0 and the time duration lasts for a preset time, the intelligent voice system is closed.
After the intelligent voice system is started to play the corresponding audio content in step 405, this step is used to shut down the intelligent voice system. The monitoring device of the embodiment of the application constantly monitors the current displacement speed, namely the monitoring device constantly monitors whether the automobile runs, when the monitoring device determines that the current displacement speed is 0 and continuously presets the duration, the automobile is determined to be stopped, and at the moment, a closing instruction can be sent to the intelligent voice system so that the intelligent voice system stops running. Here, the monitoring device needs to determine that the speed of the vehicle is 0, that is, the vehicle is not in a driving state, and the preset duration is to avoid that the vehicle is mistakenly judged to be in a parking state in the red light waiting process, so the preset duration is longer than the longest red light waiting duration in the road, for example, the general red light waiting duration is 60 seconds, and the preset duration may be 70 seconds.
In another embodiment, after the intelligent voice system is started to play the corresponding audio content in step 405, in order to avoid that the automobile is erroneously determined as the parking state in the traffic congestion process, and because the duration of the traffic congestion cannot be determined, in the embodiment of the present application, after the speed of the automobile is determined to be 0 and the duration of the traffic congestion is determined, and before the intelligent voice system is turned off, voice prompt may be made through the intelligent voice system, for example, voice prompt of "please confirm whether the current traffic congestion state is" or not is played, and after the driver is confirmed through a physical key instruction or a voice instruction, whether the speed of the automobile is 0 and the duration of the traffic congestion state are monitored again; and when the driver cannot confirm through the physical key instruction or the voice instruction, the current automobile is considered to be in the parking state, and the intelligent voice system can be closed.
In another embodiment, the monitoring device of the embodiment of the present application may further be provided with a position location module, or the monitoring device may further indirectly obtain location information through a corresponding sensor on the mobile phone after being paired with the mobile phone of the driver. The monitoring device of the embodiment of the application constantly monitors the current displacement speed, namely, the monitoring device constantly monitors whether the automobile runs, when the monitoring device determines that the current displacement speed is 0 and continuously preset time duration, whether the automobile is currently in a preset safe region (such as a parking lot, an expressway service area and the like) can be further determined through positioning modes such as internet positioning or satellite positioning, namely, when the current position is simultaneously in the preset safe region, the step can determine that the automobile is stopped, and at the moment, a closing instruction is sent to the intelligent voice system, so that the intelligent voice system stops running. The embodiment can ensure that the parking position of the driver belongs to a safe area instead of a dangerous area for parking and rest, so that the influence of the driver on road traffic caused by the casual parking and rest is reduced.
It is understood that, in other embodiments, the turning off of the intelligent voice system may also be implemented by receiving a turning off command, for example, the turning off command is a physical key command or a voice command generated by a physical key switch, so as to end the playing of the audio content of the driver in the fatigue state, which is not further described herein.
It should be noted that the fatigue driving prevention device formed by the integrated design of the intelligent voice system and the monitoring device in the embodiment of the application can automatically use a battery as a power supply, and can also obtain electric energy only through a vehicle power supply interface without obtaining other data of an automobile, so that the data dependence on the automobile is reduced, the device has stronger automobile adaptability, and is beneficial to popularization and use.
Referring to fig. 5, another embodiment of the method for suppressing fatigue driving of the present application includes:
501. and monitoring physiological characteristic data of the target person in the target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in the cab.
The execution of this step is similar to step 101 in the embodiment of fig. 1, and is not described herein again.
502. Judging whether the target person is in an abnormal state according to the target physiological characteristic data, and if the target person is in the abnormal state, executing step 503; if the target person is not in an abnormal state, step 501 is executed.
After the target physiological characteristic data of the target person is obtained by the monitoring device in step 501, the step may further determine whether the target person is in an abnormal state according to the target physiological characteristic data, where the abnormal state is a state in which the driver as the target person loses driving ability (for example, sudden illness, etc.). For example, in the foregoing embodiment, the infrared camera may load a preset neural network model through the overlapped neural network chip to perform comprehensive analysis on the target physiological characteristic data of the driver in the image, and directly draw a conclusion whether the driver is in an abnormal state. It can be understood that, when the neural network model is trained, an "abnormal state" label different from a fatigue state and a non-fatigue state may be set in the combined label classification of the driver physiological characteristic data in the training sample, and the training sample with the "abnormal state" label set therein is used for training the neural network model to obtain the trained neural network model capable of recognizing the abnormal state of the target person in the image data.
503. And immediately sending an abnormal message to a preset emergency contact.
It is understood that the intelligent voice system in the embodiment of the present application may further store an emergency contact, for example, a communication method or a communication address of the emergency contact, such as a telephone number, an email, and the like, is stored in the memory of the intelligent voice system. When it is determined in step 502 that the target person is in an abnormal state, it indicates that the driver as the target person loses driving ability of the vehicle and needs to ask for help from the outside, then this step may immediately send an abnormal message to a preset emergency contact person, and after sending the abnormal message to the preset emergency contact person, repeatedly and periodically send the abnormal message to the preset emergency contact person, so as to avoid that the emergency contact person cannot receive the abnormal message due to failure of sending the abnormal message once. The exception message includes the acquired location information so that emergency contacts can find the driver through the location information. Notably, the exception message may be: one or more of words which are stored in a memory for assistance, pictures or videos which are recently acquired by a camera of the monitoring equipment are edited in advance, and abnormal information in different forms can help emergency contacts to know the abnormal state of the driver, so that corresponding rescue means can be taken pertinently.
The above-mentioned embodiment describes the method for suppressing fatigue driving of the present application, and the following describes the apparatus for suppressing fatigue driving of the present application, with reference to fig. 6, including:
the monitoring unit 601 is configured to monitor physiological characteristic data of a target person in a target area to obtain target physiological characteristic data of the target person, where the target area is a driver position area in a cab;
a judging unit 602, configured to judge whether the target person is in a fatigue state according to the target physiological characteristic data;
a starting unit 603, configured to start a preset intelligent speech system to play audio content if the target person is in a fatigue state, where the audio content is related to the target person.
The operation performed by the fatigue driving suppressing device according to the embodiment of the present application is similar to the operation performed in fig. 1, and is not described again here.
The method for restraining fatigue driving obtains target physiological characteristic data of a target person by monitoring the physiological characteristic data of the target person in a target area, wherein the target area refers to a driver position area in a cab, so that the target physiological characteristic data of the driver serving as the target person can be continuously monitored; and judging whether the driver is in a fatigue state according to the target physiological characteristic data, and starting a preset intelligent voice system to play audio content when the driver is in the fatigue state, wherein the audio content is related to the driver as a target person. The audio content that intelligent voice system broadcast in the embodiment of this application is relevant with the driver, and such audio content can arouse driver's interest more easily, and then can help the driver to restrain tiredly effectively, keeps the driver to keep the mind fresh for a period of time, and then strives for certain time for the driver to find suitable place and stop the rest to reduce the vehicle driving accident because driver fatigue brings.
Referring to fig. 7, another embodiment of the fatigue driving suppressing device of the present application includes:
the monitoring unit 701 is used for monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab;
a judging unit 702, configured to judge whether the target person is in a fatigue state according to the target physiological characteristic data;
a starting unit 703, configured to start a preset intelligent voice system to play audio content if the target person is in a fatigue state, where the audio content is related to the target person.
Optionally, the fatigue driving suppressing device further includes:
a determining unit 704, configured to determine the fatigue level of the target person according to the physiological characteristic data;
when the starting unit 703 starts a preset intelligent voice system to play audio content, it is specifically configured to:
and starting the intelligent voice system to play the corresponding audio content according to different fatigue degrees of the target person.
Optionally, when the starting unit 703 starts the intelligent speech system to play the corresponding audio content according to different fatigue degrees of the target person, the starting unit is specifically configured to:
if the fatigue degree of the target person meets a first preset condition, determining that the target person is in a first-level fatigue state;
starting a voice reminding function corresponding to the primary fatigue state preset in the intelligent voice system;
if the fatigue degree of the target person meets a second preset condition, determining that the target person is in a secondary fatigue state;
starting an interest point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state;
if the fatigue degree of the target person meets a third preset condition, determining that the target person is in a third-level fatigue state;
and starting a physical awakening device which is preset in the intelligent voice system and corresponds to the three-stage fatigue state.
Optionally, when the starting unit 703 starts the interest-point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state, the starting unit is specifically configured to:
acquiring social content data of the social software of the target person;
generating first text content according to the social content data;
playing the first text content;
or the like, or, alternatively,
obtaining news hotspot data in the current time period, wherein the news hotspot data is related to a preset interest point of the target person;
generating second text content according to the news hotspot data;
playing the second text content;
or the like, or, alternatively,
and playing preset audio content.
Optionally, the physical wake-up apparatus includes: one or more of an oxygenation device, a refreshing medicament atomization device and a cold strong wind attacking device.
Optionally, the fatigue driving suppressing device further includes:
the judging unit 702 is further configured to judge whether the target person is in an abnormal state according to the target physiological characteristic data, where the abnormal state is a driving incapacity state;
a sending unit 705, configured to send an abnormal message to a preset emergency contact immediately if the target person is in the abnormal state, where the abnormal message includes location information, and the abnormal message is one or more of a text, a picture, and a video.
Optionally, the fatigue driving suppressing device further includes:
a receiving unit 706, configured to receive a closing instruction for the intelligent voice system, where the closing instruction is a voice instruction or a physical key instruction;
a closing unit 707, configured to close the intelligent speech system according to the closing instruction.
The operation performed by the fatigue driving suppressing device according to the embodiment of the present application is similar to the operation performed in fig. 2, 3, 4, or 5, and is not repeated here.
The embodiment of the application can grade drivers in different fatigue degrees of a fatigue state, and adopt different solutions to the drivers according to different fatigue degree grades, and judge that the multiple conditions of closing the intelligent voice system can avoid being closed by mistake, so as to achieve the aim of keeping the drivers awake for a period of time on the premise of not influencing driving safety as far as possible, and the technical scheme of the embodiment of the application is related to the drivers as target personnel, so that the interest of the drivers can be effectively aroused, the fatigue can be effectively inhibited by helping the drivers, so that the drivers strive for a proper local parking rest for a certain time, and further the vehicle driving accidents caused by fatigue driving are reduced.
Referring to fig. 8, a computer device in an embodiment of the present application is described below, where an embodiment of the computer device in the embodiment of the present application includes:
the computer device 800 may include one or more processors (CPUs) 801 and a memory 802, where one or more applications or data are stored in the memory 802. Wherein the memory 802 is volatile storage or persistent storage. The program stored in the memory 802 may include one or more modules, each of which may include a sequence of instructions operating on a computer device. Still further, the processor 801 may be configured to communicate with the memory 802 to execute a series of instruction operations in the memory 802 on the computer device 800. The computer apparatus 800 may also include one or more audio players 805, one or more wireless network interfaces 803, one or more input-output interfaces 804, and/or one or more operating systems, such as Windows Server, Mac OS, Unix, Linux, FreeBSD, etc. The processor 801 may perform the operations performed in the embodiments shown in fig. 1 to fig. 5, which are not described herein again.
In the several embodiments provided in the embodiments of the present application, it should be understood by those skilled in the art that the disclosed system, apparatus and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (10)

1. A method of suppressing fatigue driving, comprising:
monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab;
judging whether the target person is in a fatigue state or not according to the target physiological characteristic data;
and if the target person is in a fatigue state, starting a preset intelligent voice system to play audio content, wherein the audio content is related to the target person.
2. The method for suppressing fatigue driving according to claim 1, wherein after the target person is in a fatigue state, before the preset smart voice system is started to play audio contents, the method further comprises:
determining the fatigue degree of the target person according to the physiological characteristic data;
the starting of the preset intelligent voice system to play the audio content comprises the following steps:
and starting the intelligent voice system to play the corresponding audio content according to different fatigue degrees of the target person.
3. The method for suppressing fatigue driving according to claim 2, wherein the starting of the smart voice system to play the corresponding audio content according to the different fatigue degrees of the target person comprises:
if the fatigue degree of the target person meets a first preset condition, determining that the target person is in a first-level fatigue state;
starting a voice reminding function corresponding to the primary fatigue state preset in the intelligent voice system;
if the fatigue degree of the target person meets a second preset condition, determining that the target person is in a secondary fatigue state;
starting an interest point playing function preset in the intelligent voice system and corresponding to the secondary fatigue state;
if the fatigue degree of the target person meets a third preset condition, determining that the target person is in a third-level fatigue state;
and starting a physical awakening device which is preset in the intelligent voice system and corresponds to the three-stage fatigue state.
4. The method for suppressing fatigue driving according to claim 3, wherein the starting of the interest-point playing function preset in the intelligent voice system to correspond to the secondary fatigue state includes:
acquiring social content data of the social software of the target person;
generating first text content according to the social content data;
playing the first text content;
or the like, or, alternatively,
obtaining news hotspot data in the current time period, wherein the news hotspot data is related to a preset interest point of the target person;
generating second text content according to the news hotspot data;
playing the second text content;
or the like, or, alternatively,
and playing preset audio content.
5. The method of suppressing fatigue driving according to claim 3, wherein the physical wake-up means includes: one or more of an oxygenation device, a refreshing medicament atomization device and a cold strong wind attacking device.
6. The method of suppressing fatigue driving of claim 1, after obtaining the target physiological characteristic data of the target person, the method further comprising:
judging whether the target person is in an abnormal state according to the target physiological characteristic data, wherein the abnormal state is a driving incapacity state;
and if the target person is in the abnormal state, immediately sending an abnormal message to a preset emergency contact person, wherein the abnormal message comprises position information, and the abnormal message is one or more of characters, pictures and videos.
7. The method of suppressing fatigue driving according to claim 1, wherein after the preset smart voice system is activated to play the audio content, the method further comprises:
receiving a closing instruction of the intelligent voice system, wherein the closing instruction is a voice instruction or a physical key instruction;
and closing the intelligent voice system according to the closing instruction.
8. A fatigue driving suppressing apparatus, comprising:
the monitoring unit is used for monitoring physiological characteristic data of a target person in a target area to obtain the target physiological characteristic data of the target person, wherein the target area is a driver position area in a cab;
the judging unit is used for judging whether the target person is in a fatigue state according to the target physiological characteristic data;
and the starting unit is used for starting a preset intelligent voice system to play audio content if the target person is in a fatigue state, wherein the audio content is related to the target person.
9. A computer device, comprising:
the system comprises a processor, a memory, a bus, an input/output interface, a wireless network interface and an audio player;
the processor is connected with the memory, the input/output interface, the wireless network interface and the audio player through a bus;
the memory stores a program;
the processor, when executing the program stored in the memory, implements the fatigue driving suppressing method according to any one of claims 1 to 7.
10. A computer storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the method of suppressing fatigue driving according to any one of the preceding claims 1 to 7.
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