WO2021065002A1

WO2021065002A1 - Driver dozing prevention system, computer, terminal, driver dozing prevention method and program

Info

Publication number: WO2021065002A1
Application number: PCT/JP2019/039359
Authority: WO
Inventors: 佐藤　公則; 宏夫川島; 憲之根本; 邦英服巻; 将仁谷口
Original assignee: 株式会社日立物流
Priority date: 2019-10-04
Filing date: 2019-10-04
Publication date: 2021-04-08
Also published as: JPWO2021065002A1

Abstract

[Problem] The purpose of the present invention is to provide a driver dozing prevention system, a computer, a terminal, a driver prevention method and a program capable of: acquiring biometric information of a driver who is driving to determine the level of likelihood of the driver dozing while driving; selecting, from among a plurality of prevention measures for preventing dozing, a prevention measure corresponding to said level; and executing same. [Solution] This driver dozing prevention system selects and executes a prevention measure for preventing dozing such that a driver who is driving does not doze. The driver dozing prevention system: acquires biometric information of the driver; analyzes the acquired biometric information to determine the level of likelihood of the driver dozing while driving; selects, from among a plurality of prevention measures for preventing dozing, a prevention measure corresponding to the determined level; and executes the selected prevention measure.

Description

Driver doze prevention system, computer, terminal, driver doze prevention method and program

The present invention relates to a driver doze prevention system, a computer, a terminal, a driver doze prevention method, and a program for selecting and implementing preventive measures for preventing the driver from falling asleep while driving.

In recent years, the harsh working environment of drivers has become a social problem, and there is increasing news that drivers who are driving fall asleep and become traffic accidents. Therefore, a technique for preventing a driver from falling asleep while driving is drawing attention.

As an example of such a technique, one that detects the pulse of a driver during driving and determines the dozing state of this driver is disclosed (see Patent Document 1).

Japanese Unexamined Patent Publication No. 2011-248850

However, in order to prevent a traffic accident due to the driver falling asleep while driving, it was not enough to judge the driver's dozing state. Further, in the configuration of Patent Document 1, it is difficult to prevent the doze itself because it is merely for determining the doze state of the driver and not for preventing the doze itself.

The present invention acquires the biometric information of the driver while driving, determines the level at which the driver is likely to fall asleep while driving, and among a plurality of preventive measures for preventing the driver from falling asleep, the preventive measures corresponding to this level are provided. It is an object of the present invention to provide a driver doze prevention system, a computer, a terminal, a driver doze prevention method and a program which can be selected and implemented.

The present invention provides the following solutions.

The present invention is a driver doze prevention system that selects and implements preventive measures to prevent the driver from falling asleep while driving.
An acquisition means for acquiring the biological information of the driver, and
A determination means for analyzing the acquired biological information to determine the level at which the driver is likely to fall asleep while driving.
A selection means for selecting a preventive measure according to the determined level among a plurality of preventive measures for preventing inemuri, and a selection means for selecting the preventive measure.
An execution means for implementing the selected preventive measures and
Provided is a driver doze prevention system characterized by being provided with.

According to the present invention, the driver doze prevention system that selects and implements preventive measures to prevent the driver from falling asleep while driving acquires the biometric information of the driver and obtains the biometric information. Is analyzed to determine the level at which the driver is likely to fall asleep while driving, and among a plurality of preventive measures for preventing the driver from falling asleep, the preventive measure is selected according to the determined level, and the selected preventive measure is selected. Take measures.

The present invention is in the category of systems, but in other categories such as methods and programs, the same actions and effects are exhibited according to the categories.

Further, the present invention is a computer that selects and implements preventive measures for preventing the driver from falling asleep so that the driver does not fall asleep while driving.
An acquisition means for acquiring the biological information of the driver, and
A determination means for analyzing the acquired biological information to determine the level at which the driver is likely to fall asleep while driving.
A selection means for selecting a preventive measure according to the determined level among a plurality of preventive measures for preventing inemuri, and a selection means for selecting the preventive measure.
An execution means for executing the selected preventive measures, and
Provide a computer characterized by being equipped with.

Further, the present invention is a terminal for selecting and implementing a preventive measure for preventing the driver from falling asleep so that the driver does not fall asleep while driving.
Execution means for executing the preventive measure selected according to the determination result of determining the level at which the driver is likely to fall asleep while driving, among a plurality of preventive measures for preventing the driver from falling asleep by analyzing the biological information of the driver. When,
Provide a terminal characterized by being provided with.

According to the present invention, the biometric information of the driver during driving is acquired, the level at which the driver is likely to fall asleep during driving is determined, and among a plurality of preventive measures for preventing the driver from falling asleep, prevention according to this level is performed. It becomes possible to provide a driver doze prevention system, a computer, a terminal, a driver doze prevention method and a program capable of selecting and implementing a measure.

FIG. 1 is a diagram showing an outline of the driver doze prevention system 1. FIG. 2 is an overall configuration diagram of the driver doze prevention system 1. FIG. 3 is a diagram showing a flowchart of a doze prevention measure execution process executed by the computer 10. FIG. 4 is a diagram showing a flowchart of a doze prevention measure execution process executed by the computer 10. FIG. 5 is a diagram showing an example of a preventive measure database recorded by the computer 10.

Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. It should be noted that this is just an example, and the technical scope of the present invention is not limited to this.

[Overview of driver doze prevention system 1]
An outline of a preferred embodiment of the present invention will be described with reference to FIG. FIG. 1 is a diagram for explaining an outline of the driver doze prevention system 1 which is a preferred embodiment of the present invention. The driver doze prevention system 1 is a computer system composed of a computer 10 that selects and implements preventive measures for preventing the driver from falling asleep so that the driver during operation does not fall asleep.

The driver doze prevention system 1 includes a driver terminal possessed or worn by the driver (for example, a mobile terminal such as a smartphone or tablet terminal, a wearable terminal such as a head mount display such as a smart glass), sensors for detecting various information, and the like. For vehicles driven by drivers, photographing devices that capture images such as moving images and still images of the driver's face and body, measuring devices that measure the driver's biological information (for example, heartbeat, body temperature, pulse), vehicle front glasses, etc. It may include an output device that outputs a message or an image, a stimulus generator that gives some stimulus (for example, vibration, odor, voice) to the driver, other terminals or devices, and the like. In this case, the driver doze prevention system 1 executes each process described later by any or a combination of the computer 10 and the terminals and devices included in the computer 10.

Further, the driver doze prevention system 1 may be realized by one computer such as a computer 10, or may be realized by a plurality of computers such as a cloud computer.

The computer 10 is connected to a driver terminal, sensors, a vehicle, a photographing device, a measuring device, an output device, a stimulus generator, other terminals and devices, etc. via a public network or the like so as to be capable of data communication. , Send and receive necessary data and information.

The computer 10 acquires the biological information of the driver during driving. Biological information is, for example, heartbeat, body temperature, and pulse.

For example, a sensor (steering wheel or seat) provided in the vehicle or a driver terminal attached to the driver measures the biological information of the driver while driving. The sensor and the driver terminal transmit the measured biological information to the computer 10. By receiving this biometric information, the computer 10 acquires the biometric information of the driver during driving.

Also, for example, a photographing device provided inside the vehicle captures an image of the driver's face and body while driving. The photographing device transmits this image to the computer 10. The computer 10 receives this image and analyzes the image. The computer 10 estimates the biometric information of the driver while driving based on the result of the image analysis. The computer 10 acquires the estimated biometric information as the biometric information of this driver.

The computer 10 analyzes the acquired biometric information and determines the level at which the driver is likely to fall asleep while driving. The level at which the driver is likely to fall asleep is a numerical value of the degree of drowsiness of the driver, and the higher the value, the higher the degree of drowsiness.

For example, the computer 10 analyzes the numerical values of heart rate, body temperature, and pulse in the biological information. The computer 10 determines this level based on the numerical value in this biometric information. The computer 10 determines the level corresponding to the analysis result of this time by referring to the level determination database recorded in advance by associating the contents and numerical values of the biological information with the level.

The computer 10 selects the preventive measure according to the determined level among the plurality of preventive measures for preventing the doze. The preventive measures are, for example, to give some kind of stimulus to the five senses of the driver or to control the vehicle itself.

For example, the computer 10 selects a preventive measure according to the level determined this time by referring to a preventive measure database in which the level and the preventive measure are recorded in advance.

The computer 10 can also be configured to rotate and select the preventive measures to be selected at predetermined intervals.

For example, when selecting a preventive measure from the next time onward, the computer 10 will select a preventive measure different from the preventive measure selected this time if the period between this time and the next time is a predetermined interval.

Computer 10 executes the selected preventive measures.

For example, the computer 10 transmits a command for executing this preventive measure to the terminals and devices corresponding to the selected preventive measure. The terminal or the device receives this command and executes the preventive measure selected by the computer 10 according to the command. As a result, the computer 10 will execute the selected preventive measures, and the driver doze prevention system 1 will execute the selected preventive measures.

It should be noted that the computer 10 can be configured to learn which of the preventive measures that have been implemented does not fall asleep and which preventive measure has fallen asleep.

For example, the computer 10 learns by associating this result with whether or not it was possible to prevent the driver from falling asleep based on whether or not the driver was able to prevent the driver from falling asleep as a result of executing the preventive measure. When selecting the preventive measures from the next time onward, the computer 10 selects the preventive measures according to the determined level and the result of this learning.

Next, the outline of the processing executed by the driver doze prevention system 1 will be described.

The computer 10 acquires the biological information of the driver during driving (step S01). The biological information is as described above.

The sensor installed in the vehicle and the driver terminal attached to the driver measure the biological information of the driver while driving. The sensor and the driver terminal transmit the measured biological information to the computer 10. By receiving this biometric information, the computer 10 acquires the biometric information of the driver during driving.

An imaging device installed inside the vehicle captures images of the driver's face and body while driving. The photographing device transmits this image to the computer 10. The computer 10 receives this image and analyzes the image. As an image analysis, the computer 10 extracts feature points (for example, shape, contour, hue) and feature quantities (for example, statistical numerical values such as average, variance, and histogram of pixel values). The computer 10 estimates the biological information of the driver during driving based on the extracted feature points and feature quantities. The computer 10 acquires the estimated biometric information as the biometric information of this driver.

The computer 10 analyzes the acquired biological information (step S02). The computer 10 analyzes, for example, the numerical values of heart rate, body temperature, and pulse in the biological information.

The computer 10 determines the level at which the driver who is driving is likely to fall asleep while driving based on the analysis result of the biological information (step S03). This level is as described above.

The computer 10 refers to the above-mentioned level determination database and determines this level. The computer 10 determines the level corresponding to the numerical value in the biometric information acquired this time.

The computer 10 selects a preventive measure from a plurality of preventive measures for preventing doze according to the determined level (step S04). The preventive measures are as described above.

The computer 10 refers to the preventive measure database described above and selects this preventive measure. The computer 10 selects a preventive measure according to the level determined this time.

The computer 10 executes the selected preventive measure (step S05).

The computer 10 creates a command for executing this preventive measure for the terminals and devices corresponding to the selected preventive measure. The computer 10 transmits the created command to terminals and devices. Terminals and devices receive this command. Terminals and devices implement preventative measures according to this command. As a result, the computer 10 will execute the selected preventive measures, and the driver doze prevention system 1 will execute the selected preventive measures.

The above is the outline of the processing executed by the driver doze prevention system 1.

[System configuration of driver doze prevention system 1]
The system configuration of the driver doze prevention system 1 which is a preferred embodiment of the present invention will be described with reference to FIG. FIG. 2 is a diagram showing a system configuration of a driver doze prevention system 1 which is a preferred embodiment of the present invention. In FIG. 2, the driver doze prevention system 1 is a computer system composed of a computer 10 that selects and implements preventive measures for preventing the driver from falling asleep so that the driver during operation does not fall asleep.

The driver doze prevention system 1 may include a driver terminal, sensors, vehicles, photographing devices, measuring devices, output devices, stimulus generators, and other terminals and devices (not shown). In this case, the driver doze prevention system 1 executes each process described later by any or a combination of the computer 10 and the terminals and devices included in the computer 10.

The computer 10 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, and can communicate with other terminals and devices as a communication unit. A device for this purpose, for example, a Wi-Fi (Wireless-Fidelity) compatible device conforming to IEEE802.11 and the like. Further, the computer 10 includes a data storage unit such as a hard disk, a semiconductor memory, a recording medium, and a memory card as a recording unit. Further, the computer 10 includes various devices and the like that execute various processes as a processing unit.

In the computer 10, the control unit reads a predetermined program to realize the biometric information acquisition module 20 and the preventive measure execution module 21 in cooperation with the communication unit. Further, in the computer 10, the control unit reads a predetermined program to realize the recording module 30 in cooperation with the recording unit. Further, in the computer 10, the control unit reads a predetermined program, and in cooperation with the processing unit, the analysis module 40, the determination module 41, the selection module 42, the command creation module 43, the prevention determination module 44, and the learning module 45. To realize.

[Drowsiness prevention measures execution process]
The doze prevention measure execution process executed by the driver doze prevention system 1 will be described with reference to FIGS. 3 and 4. 3 and 4 are diagrams showing a flowchart of a doze prevention measure execution process executed by the computer 10. The process executed by each of the above-mentioned modules will be described together with this process.

First, the biometric information acquisition module 20 acquires the biometric information of the driver during driving (step S10). In step S10, the biological information is, as described above, the driver's heartbeat, body temperature, pulse, and the like. The biological information acquisition module 20 acquires biological information measured by terminals and devices, or acquires a result estimated based on an image captured by an imaging device as biological information. In the following description, the biometric information acquisition module 20 will be described as acquiring the heartbeat as biometric information. Needless to say, the present invention can be applied to anything other than heartbeat.

The case where the biological information acquisition module 20 acquires the biological information measured by the terminal or the device will be described.

Sensors provided on the steering wheel and seat, driver terminals and measuring devices attached to the driver measure the driver's heartbeat while driving. These terminals and devices transmit the measured heartbeat to the computer 10 as biological information. The biological information acquisition module 20 acquires biological information by receiving this heartbeat.

A case where the biological information acquisition module 20 acquires biological information based on an image captured by the imaging device will be described.

The photographing device photographs the face and body of the driver while driving. The photographing device transmits the photographed image to the computer 10 as image information. The biological information acquisition module 20 receives image information. Based on this image information, the biological information acquisition module 20 analyzes an image of the driver during operation and extracts feature points and feature amounts of this image. The biological information acquisition module 20 specifies pulse wave information based on the extracted feature points and feature amounts. The biological information acquisition module 20 estimates the heartbeat of this driver based on the identified pulse wave information. The biological information acquisition module 20 acquires the estimated heartbeat as biological information.

The biometric information acquisition module 20 may acquire biometric information by a method other than the above-mentioned example.

The analysis module 40 analyzes the acquired biological information (step S11). In step S11, the analysis module 40 analyzes the heart rate, which is a numerical value of the acquired heart rate. The analysis module 40 analyzes the heart rate per unit time.

The analysis module 40 may analyze biological information by a method other than the above-mentioned example.

The determination module 41 determines the level at which the driver who is driving is likely to fall asleep during driving based on the analysis result of the acquired biometric information (step S12). In step S12, the level at which the driver is likely to fall asleep during driving is a numerical value of the degree of drowsiness of the driver. The higher the value, the higher the degree of drowsiness, and the lower the value, the lower the degree of drowsiness. ..

The determination module 41 refers to the level determination database previously recorded by the recording module 30 and determines this level. The level determination database is registered by associating the contents and numerical values of biometric information with this level. The determination module 41 compares the heart rate, which is the biological information determined this time, with the heart rate registered in the level determination database, and identifies one that matches or approximates. At this time, the determination module 41 specifies that if there is something that approximates at a plurality of levels, it corresponds to something that approximates a higher level. The determination module 41 determines this specified level as a level that is likely to fall asleep during the operation of the driver during the current operation.

If the numerical value of the analyzed biological information does not match or approximate any of the numerical values registered in the level determination database, the determination module 41 determines that the level is 0. When the determination module 41 determines that the level is 0, the computer 10 determines that the driver is not drowsy, and ends this process.

The selection module 42 selects a preventive measure from a plurality of preventive measures for preventing doze according to the level determined this time (step S13). In step S13, the selection module 42 refers to the preventive measure database previously recorded by the recording module 30 and selects this preventive measure. The preventive measure database is registered by associating the level at which the driver is likely to fall asleep with the preventive measures for preventing the driver from falling asleep. This preventive measure is to give some kind of stimulus to the driver's five senses or to control the vehicle itself. Preventive measures include generating a sound close to the heartbeat to the driver, giving some stimulus to the driver (for example, seat vibration, odor generation, explosion sound, unpleasant sound), and a message on the windshield (for example, support from the family) , Projecting risks caused by falling asleep, warnings of traffic accidents, notifications of being about to fall asleep, images on windshields, etc. (for example, family members, their own condition when they were likely to fall asleep in the past, traffic accidents) The vehicle slows down or stops, projecting the victim or vehicle).

The preventive measures are not limited to the above-mentioned examples, and can be changed as appropriate.

[Prevention database]
A preventive measure database recorded by the recording module 30 will be described with reference to FIG. FIG. 5 is a diagram showing an example of a preventive measure database. In FIG. 5, the preventive measure database is registered in association with the level and the preventive measure. In the preventive measure database, a plurality of preventive measures are associated and registered for each level. In level 1, as the first preventive measure, "sound close to the heart sound" is registered, and as the second preventive measure, "seat vibrates" is registered. Further, in level 2, "message projection on the windshield" is registered as the first preventive measure, and "alert from the smartphone" is registered as the second preventive measure. At level 3, "projecting an image on the windshield" is registered as the first preventive measure, and "generating an unpleasant sound" is registered as the second preventive measure. At level 4, "generate an explosion sound" is registered as the first preventive measure, and "generate an odor" is registered as the second preventive measure. At level 5, "stop the vehicle" is registered as the first preventive measure. In the preventive measure database, the higher the level, the more drowsy preventive measures are registered in association with the driver. That is, in the preventive measure database, preventive measures according to the degree of drowsiness of the driver are registered.

Although not shown, each preventive measure is associated with a terminal or device that executes this preventive measure. "Produces a sound close to the heart sound" is associated with the driver terminal and the speaker of the vehicle driven by the driver. "Seat vibrates" is associated with a stimulus generator provided on the seat of the vehicle driven by the driver. "Message projection on the windshield" is associated with the windshield of the vehicle driven by the driver and an output device that outputs a message to this windshield. The driver terminal is linked to "Alert from smartphone". "Image projection on the windshield" is associated with the windshield of the vehicle driven by the driver and an output device that outputs an image to the windshield. "Generates an unpleasant sound" is associated with a driver terminal or a speaker of a vehicle driven by the driver. "Generates an explosion sound" is associated with the driver terminal and the speaker of the vehicle driven by the driver. "Generates odor" is associated with a stimulus generator provided in the vehicle driven by the driver. "Stop the vehicle" is associated with the vehicle driven by the driver.

The level registered in the preventive measure database and the content of the preventive measure are not limited to the above examples, and can be changed as appropriate. Further, the level and the number of preventive measures are not limited to the above-mentioned examples, and can be changed as appropriate.

The selection module 42 compares the level determined this time with the level registered in the preventive measure database, and identifies the matching level. The selection module 42 identifies a plurality of preventative measures associated with the identified level. The selection module 42 selects one preventive measure from the plurality of preventive measures based on a predetermined condition (for example, random, a preset order).

An example in which the selection module 42 selects one preventive measure will be specifically described.

When the level determined this time is 2, the selection module 42 refers to the preventive measure database and specifies the preventive measure associated with the level 2 determined this time. As a result, the selection module 42 identifies "projecting a message on the windshield" and "alert from the smartphone" as preventive measures. The selection module 42 randomly selects one of these two preventive measures.

The selection module 42 determines whether or not the preventive measure selected this time has been selected within a predetermined interval (step S14). In step S14, the selection module 42 determines whether or not the preventive measure selected this time has already been selected within a predetermined interval such as within one hour, within several hours, within one day, within several days, and the like. To do. When the selection module 42 determines that the preventive measure selected this time has been selected within a predetermined interval (YES in step S14), the selection module 42 determines this time among a plurality of preventive measures for preventing falling asleep. Among the preventive measures according to the level, the preventive measures selected by the process of step S13 described above are excluded, and the preventive measures are selected again (step S15). The process of step S15 is substantially the same as the process of step S13 described above, except that the preventive measures according to the level are selected from the preventive measures other than the preventive measures selected by the process of step S13 described above. To do. That is, the process of step S15 selects one preventive measure from the preventive measures that the selection module 42 did not select.

After executing the process of step S15, the computer 10 executes the process of step S14 described above again. Here, when the selection module 42 determines that the preventive measure selected this time has not been selected within a predetermined interval, the selection module 42 executes the process of step S16 described later.

On the other hand, when the selection module 42 determines that the preventive measure selected again this time has been selected within a predetermined interval, the selection module 42 re-executes the process of step S15 described above. When the computer 10 determines that all the preventive measures according to the determined level have been selected within a predetermined interval as a result of repeating these processes, a predetermined condition (for example, random, a preset order) is determined. ), One preventive measure is selected from the plurality of preventive measures, and the process of step S16 described later is executed according to the selected one preventive measure. That is, when all the preventive measures according to the determined level are selected within the predetermined period, the computer 10 implements one preventive measure according to the predetermined condition described above regardless of whether or not the preventive measures have been selected in the past. You will have a choice.

As a result, the computer 10 selects the preventive measures to be selected by rotating them at predetermined intervals.

On the other hand, in step S14, when it is determined that the preventive measure selected this time is not selected within the predetermined interval (step S14 NO), the command creation module 43 applies the selected preventive measure to the terminal, the device, or the vehicle. Create a command to be executed (step S16). In step S16, the command creation module 43 creates a command necessary for the terminal, the device, or the vehicle associated with the selected preventive measure to execute the preventive measure.

Based on the above example, the process executed by the command creation module 43 will be described.

The command creation module 43 creates a command necessary to output a sound close to the heart sound recorded in advance by the driver terminal or the vehicle when "produce a sound close to the heart sound" is selected as a preventive measure. The command creation module 43 creates a command necessary for the stimulus generator to generate vibration when "seat vibrates" is selected as a preventive measure. When "project message on windshield" is selected as a preventive measure, the command creation module 43 creates a command necessary for projecting a message recorded in advance by the output device or the vehicle onto the windshield. As a preventive measure, the command creation module 43 creates a command necessary for the driver terminal to output a pre-recorded alert when "alert from smartphone" is selected. When "project image on windshield" is selected as a preventive measure, the command creation module 43 creates a command necessary for projecting an image previously recorded by the output device or the vehicle onto the windshield. When "generate an unpleasant sound" is selected as a preventive measure, the command creation module 43 creates a command necessary for the driver terminal or the vehicle to output a pre-recorded unpleasant sound. When "generate an explosion sound" is selected as a preventive measure, the command creation module 43 creates a command necessary for the driver terminal or the vehicle to output a pre-recorded explosion sound. The command creation module 43 creates a command necessary for the stimulus generator to generate an odor when "generate an odor" is selected as a preventive measure. The command creation module 43 creates a command necessary for the vehicle to stop when "stop the vehicle" is selected as a preventive measure.

The preventive measure execution module 21 transmits the created command to the corresponding terminals, devices, and vehicles to execute the selected preventive measure (step S17). In step S17, the terminal, the device, and the vehicle receive the created command. They take preventive measures according to this command. As a result, the computer 10 will execute the selected preventive measures, and the driver doze prevention system 1 will execute the selected preventive measures.

Based on the above example, preventive measures implemented by terminals, devices and vehicles will be described.

When the driver terminal or vehicle receives the command "produce a sound close to the heart sound", the driver terminal or the vehicle outputs a sound close to the heart sound recorded in advance from the speaker. The stimulus generator vibrates the seat when it receives the "seat vibrates" command. When the output device or the vehicle receives the command "project message on windshield", it projects the message recorded in advance on the windshield. When the driver terminal receives the "alert from smartphone" command, it outputs the alert that it has recorded in advance. When the output device or the vehicle receives the command "project the image on the windshield", the output device or the vehicle projects the image recorded in advance on the windshield. When the driver terminal or the vehicle receives the command "generate an unpleasant sound", the driver terminal or the vehicle outputs the unpleasant sound recorded in advance by itself from the speaker. When the driver terminal or the vehicle receives the command "generate an explosion sound", the driver terminal or the vehicle outputs the explosion sound recorded in advance from the speaker. The stimulus generator generates an odor when it receives the command "generate an odor". The vehicle stops the vehicle when it receives the command "stop the vehicle".

The biometric information acquisition module 20 reacquires the biometric information of the driver during operation after executing the preventive measures (step S18). The process of step S18 is the same as the process of step S10 described above.

The analysis module 40 analyzes the acquired biological information again (step S19). The process of step S19 is the same as the process of step S11 described above.

The determination module 41 determines the level at which the driver who is driving is likely to fall asleep during driving based on the analysis result of the biometric information acquired again (step S20). The process of step S20 is the same as the process of step S12 described above.

The prevention determination module 44 determines whether or not the driver was able to prevent the driver from falling asleep during driving as a result of the preventive measures executed this time, based on the analysis result of the biological information (step S21). In step S21, the prevention determination module 44 determines whether or not the numerical value of the level based on the analysis result of the biological information is 0. This is because if the level is 0, it can be determined that the driver has awakened.

When the prevention determination module 44 determines that the doze can be prevented (step S21 YES), that is, when the determination level is 0, the prevention determination module 44 determines that the driver's doze can be prevented, and the recording module 30 is executed this time. The preventive measures and the fact that the driver was able to prevent falling asleep (the driver woke up) are associated and recorded as awakening information (step S22). After executing this process, the computer 10 executes the process of step S29, which will be described later.

On the other hand, in step S21, when the prevention determination module 44 determines that the inemuri could not be prevented (step S21 NO), that is, when the determined level is 1 or more, the level determined by the process of step S12 described above. It is determined whether or not the above is the case (step S23). In step S23, the prevention determination module 44 determines whether or not the degree of dozing has changed before and after executing the preventive measures. When the prevention determination module 44 determines that the level is smaller than the level determined last time (step S23 NO), it is determined that the driver could not prevent the driver from falling asleep, but it has a certain effect, and the recording module 30 is effective this time. The preventive measures that have been made are associated with the fact that a certain effect has been achieved, and recorded as partial awakening information (step S24). After executing this process, the computer 10 determines that the driver could not prevent the driver from falling asleep, and executes the process of step S26 described later.

On the other hand, in step S23, when the prevention determination module 44 determines that the level is equal to or higher than the level determined last time (YES in step S23), it is determined that the driver could not prevent the driver from falling asleep, and the recording module 30 is activated this time. The preventive measures and the fact that there was no effect are associated and recorded as non-awakening information (step S25).

The selection module 42 selects a preventive measure corresponding to a level higher than the level determined by the process of step S12 described above (step S26). In step S26, the selection module 42 selects a preventive measure corresponding to a level higher than the previously determined level. The selection module 42 selects a preventive measure corresponding to one level or higher level as a higher level than the previous time.

When selecting the preventive measures corresponding to the determined level, the computer 10 executes the processes of steps S14 and S15 described above, and selects the preventive measures according to the level determined this time.

When the selection module 42 has a height higher than a predetermined range than the level determined by the process of step S12 described above, the selection module 42 corresponds to the highest level in the preventive measure database or the next highest level after this level. It is also possible to select preventive measures. Specifically, when the level of the height above the predetermined range is 1, the level determined last time is 1 and the level determined this time is 3, the selection module 42 is stored in the preventive measure database in FIG. 5 described above. Among the registered levels, the preventive measures corresponding to the highest level 5 or the next highest level 4 will be selected.

The command creation module 43 creates a command for causing the terminal, the device, or the vehicle to execute the selected preventive measure (step S27). The process of step S27 is the same as the process of step S16 described above.

The preventive measure execution module 21 transmits the created command to the corresponding terminals, devices, and vehicles to execute the selected preventive measure (step S28). The process of step S28 is the same as the process of step S17 described above.

After executing the selected preventive measure, the computer 10 executes the process after step S18 described above again, and executes this until the driver who is driving stops falling asleep.

The computer 10 combines a plurality of preventive measures registered in the preventive measure database when the driver who is driving does not stop falling asleep even when the preventive measures are executed a predetermined number of times or all the preventive measures. It may be configured to execute things and all preventive measures at once.

In this embodiment, in order to simplify the description, it is described that the process of step S29 described later is executed after the process of step S28 described above.

The learning module 45 learns awakening information, partial awakening information, and non-awakening information (step S29). In step S29, the learning module 45 learns by associating the implemented preventive measure with the result (awakened, did not wake up but had a certain effect or did not wake up). .. That is, the learning module 45 learns which preventive measure awakens drowsiness and which preventive measure does not awaken drowsiness in the preventive measures against the driver during driving. At this time, the identifier of the target driver and the like are also learned, and effective preventive measures for a specific driver are learned.

The learning module 45 may be configured to learn effective preventive measures against an unspecified driver without learning the identifier of the target driver.

The recording module 30 records the learning result (step S30).

When the computer 10 executes the processes of steps S13 and S26 described above from the next time onward, the computer 10 will select a preventive measure in consideration of the learning result.

This example will be explained concretely.

In the processes of steps S13 and S26 described above, the selection module 42 selects a preventive measure according to the determined level and the learning result. The selection module 42 excludes the preventive measures corresponding to the partial awakening information and / or the non-awakening information in the preventive measures corresponding to the determined level among the preventive measures registered in the preventive measure database. Select. At this time, when all the preventive measures associated with the determined level are excluded, the selection module 42 selects the preventive measures associated with the level higher than the determined level. Further, the selection module 42 may include preventive measures associated with a higher level or a plurality of preventive measures associated with a determined level or a higher level when all the preventive measures associated with the higher level are excluded. It is also possible to select a preventive measure that combines preventive measures.

Note that the selection module 42 may be configured to have a lower priority when selecting partial awakening information and / or non-awakening information.

The above is the process of executing measures to prevent falling asleep.

The above-mentioned means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program is provided, for example, in the form of being provided from a computer via a network (Software as a Service). Further, the program is provided in a form recorded on a computer-readable recording medium such as a flexible disc, a CD (CD-ROM or the like), or a DVD (DVD-ROM, DVD-RAM or the like). In this case, the computer reads the program from the recording medium, transfers the program to the internal recording device or the external recording device, records the program, and executes the program. Further, the program may be recorded in advance on a recording device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided from the recording device to a computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. In addition, the effects described in the embodiments of the present invention merely list the most preferable effects arising from the present invention, and the effects according to the present invention are limited to those described in the embodiments of the present invention. is not it.

1 driver doze prevention system, 10 computer

Claims

It is a driver doze prevention system that selects and implements preventive measures to prevent the driver from falling asleep while driving.
An acquisition means for acquiring the biological information of the driver, and
A determination means for analyzing the acquired biological information to determine the level at which the driver is likely to fall asleep while driving.
A selection means for selecting a preventive measure according to the determined level among a plurality of preventive measures for preventing inemuri, and a selection means for selecting the preventive measure.
An execution means for implementing the selected preventive measures and
A driver doze prevention system characterized by being equipped with.
Of the above-mentioned preventive measures, a learning means for learning which preventive measures did not fall asleep and which preventive measures did not fall asleep, and
With more
The selection means selects the preventive measure according to the determined level and the learning result.
The driver doze prevention system according to claim 1.
The selection means selects the preventive measures for preventing the inemuri by rotating them at predetermined intervals according to the determined level.
The driver doze prevention system according to claim 1.
It is a computer that selects and implements preventive measures to prevent the driver from falling asleep while driving.
An acquisition means for acquiring the biological information of the driver, and
A determination means for analyzing the acquired biological information to determine the level at which the driver is likely to fall asleep while driving.
A selection means for selecting a preventive measure according to the determined level among a plurality of preventive measures for preventing inemuri, and a selection means for selecting the preventive measure.
An execution means for executing the selected preventive measures, and
A computer characterized by being equipped with.
It is a terminal that selects and implements preventive measures to prevent the driver from falling asleep while driving.
Execution means for executing the preventive measure selected according to the determination result of determining the level at which the driver is likely to fall asleep while driving, among a plurality of preventive measures for preventing the driver from falling asleep by analyzing the biological information of the driver. When,
A terminal characterized by being equipped with.
It is a computer-executed driver doze prevention method that selects and implements preventive measures to prevent the driver from falling asleep while driving.
The step of acquiring the biological information of the driver and
A step of analyzing the acquired biometric information to determine the level at which the driver is likely to fall asleep while driving.
Of the multiple preventive measures to prevent falling asleep, the step of selecting the preventive measure according to the determined level, and
The steps to implement the selected preventive measures and
A method for preventing a driver from falling asleep.
For computers that select and implement preventive measures to prevent falling asleep so that the driver does not fall asleep while driving.
Steps to acquire biometric information of the driver,
A step of analyzing the acquired biometric information to determine the level at which the driver is likely to fall asleep while driving.
A step of selecting a preventive measure according to the determined level among a plurality of preventive measures for preventing inemuri,
Steps to implement the selected preventive measures,
A computer-readable program for running.