JP-7854840-B2 - Estimation device, estimation method, and program

JP7854840B2JP 7854840 B2JP7854840 B2JP 7854840B2JP-7854840-B2

Inventors

川田歩
橋本拡昌
富澤功

Assignees

パイオニア株式会社

Dates

Publication Date: 20260507
Application Date: 20220412

Claims (9)

An output unit that outputs response-required information to the driver of a moving object, A detection unit for detecting the driver's response to the aforementioned information requiring a response, The system includes an estimation unit that determines the response time to the output of the response-requiring information based on the timing at which the response is detected , and estimates the driver's state based on the response time . The estimation unit estimates the driver's state based on a comparison between a reference time, which is the time determined by the detection unit based on the timing of the response detected during the period from when the driver started operating the mobile body until a predetermined time has elapsed, and the driver's current response time. Estimation device.
In the estimation device according to claim 1, The output unit is an estimation device that determines the response information to be output based on at least one of the current location of the moving object, weather, date, time, and destination.
In the estimation device according to claim 1 , The detection unit is an estimation device that detects the driver's response to the information requiring a response.
In the estimation device according to claim 1 , The estimation unit, The response time is corrected based on at least one of the following: the current position of the moving body, the conditions around the moving body, the conditions inside the moving body, and the movement of the moving body. An estimation device that estimates the driver's state based on the corrected response time.
In the estimation device according to claim 1 , An estimation device that determines at least one of the timing at which the output unit outputs the response-required information and the timing at which the estimation unit estimates the driver's state, based on at least one of the current position of the moving body, the conditions around the moving body, the conditions inside the moving body, and the operation of the moving body.
In the estimation device according to claim 1 , Using the driver's biometric information, the system determines at least one of the timing at which the output unit outputs the response-required information and the timing at which the estimation unit estimates the driver's state. Estimation device.
In the estimation device according to any one of claims 1 to 6 , The output unit is, Based on the content of the above response, the advertising information to be output is identified, An estimation device that outputs the identified advertising information when the estimated state of the driver satisfies predetermined conditions.
An estimation method performed by one or more computers, An output step that outputs response-required information requesting a response from the driver of a moving object, A detection step for detecting the driver's response to the output of the information requiring a response, The estimation step includes determining the response time to the output of the response-requiring information based on the timing at which the response was detected , and estimating the driver's state based on the response time . In the estimation step, the driver's state is estimated based on a comparison between a reference time, which is the time determined based on the timing of the response detected in the detection step during the period from when the driver started operating the mobile body until a predetermined time has elapsed in the past, and the driver's current response time. Estimation method.
A program that causes a computer to execute the estimation method described in claim 8 .

Description

This invention relates to an estimation device, an estimation method, and a program. There is technology that predicts the drowsiness and fatigue level of drivers of vehicles and other vehicles, and provides warnings as needed. Patent Document 1 describes a method for predicting a driver's risk of drowsiness based on their answers to questions about diet and sleep. Japanese Patent Publication No. 2019-61480 This is a block diagram illustrating the functional configuration of the estimation device according to the embodiment.This is a flowchart illustrating the flow of the estimation method according to the embodiment.This diagram illustrates a computer used to implement an estimation device.This figure shows the first example of the relationship between the operating load and the processing performed by the estimation device.This figure shows a second example of the relationship between the operating load and the processing performed by the estimation device. The embodiments of the present invention will be described below with reference to the drawings. In all drawings, similar components are denoted by the same reference numerals, and their descriptions are omitted where appropriate. (Embodiment) Figure 1 is a block diagram illustrating the functional configuration of the estimation device 10 according to this embodiment. The estimation device 10 according to this embodiment comprises an output unit 120, a detection unit 140, and an estimation unit 160. The output unit 120 outputs response-required information that requests a response from the driver of a moving object. The detection unit 140 detects the driver's response to the response-required information. The estimation unit 160 estimates the driver's state based on at least one of the appropriateness and timing of the response. In this embodiment, the mobile object is not particularly limited, but could be, for example, a vehicle, an aircraft, or a ship. Examples of vehicles include trains, four-wheeled vehicles, and two-wheeled vehicles. Examples of aircraft include drones and aircraft. The operator of the mobile object may be on board the mobile object or may be operating it remotely. The estimation device 10 according to this embodiment may or may not be mounted on the mobile object. Information requiring a response is, for example, a question directed at the driver. Examples of questions include inquiries, suggestions, and appeals. The driver's response to this information may be an answer to the question, or it may be a nod of agreement. Answers to questions may include affirmative responses such as "yes" or "uh-huh," negative responses such as "no" or "no," or responses other than affirmation or negation. The driver's response to this information may also include auditory responses such as vocalizations, or bodily responses such as nodding. The output of information requiring a response may be, for example, audio output from a speaker or image output from a display. The detection unit 140 can detect the driver's response through sound detection using a microphone, image detection using a camera, motion detection using sensors, etc. The estimation unit 160 estimates the driver's state based on at least one of the appropriateness and timing of the response. Therefore, it offers a high degree of freedom in the response-required information and can estimate the driver's state through a variety of questions and other means. The driver's condition refers to, for example, the driver's level of fatigue or safety margin. Fatigue may include the degree of drowsiness. In the following, the description of fatigue can be reinterpreted as a description of safety margin by reversing the order of the fatigue levels. Figure 2 is a flowchart illustrating the flow of the estimation method according to this embodiment. The estimation method according to this embodiment is executed by one or more computers. This estimation method includes an output step S10, a detection step S20, and an estimation step S30. In the output step S10, response-requiring information is output, requesting a response from the driver of the moving object. In the detection step S20, the driver's response to the output of the response-requiring information is detected. In the estimation step S30, the driver's state is estimated based on at least one of the appropriateness and timing of the response. The estimation method according to this embodiment can be performed by the estimation device 10 according to this embodiment. As described above, according to this embodiment, the estimation unit 160 estimates the driver's state based on at least one of the appropriateness and timing of the response. Therefore, the driver's state can be estimated through a variety of questions and other means. (Example 1) The estimation device 10 according to Embodiment 1 has the same configuration as the estimation device 10 according to the embodiment. In the estimation device 10 according to this embodiment, t