JP2021183978A - Driver estimation device, control method, program, and storage medium - Google Patents

Abstract

To provide a driver estimation device capable of estimating a driver without requesting special operation or the like.SOLUTION: A control unit 21 of a navigation device 2 has a communication unit 27 which receives arm operation data Da including time-series measurement data on acceleration and angular speed indicating the movement of an arm of a person on board from an arm-attachable terminal 1 worn by the person on board a vehicle. Then, the control unit 21 of the navigation device 2 estimates whether the person is a driver of the vehicle on the basis of the arm operation data Da of the person received by the communication unit 27.SELECTED DRAWING: Figure 2

Description

The present invention relates to a technique for estimating a driver (driver).

Conventionally, a technique for performing driver authentication at the start of driving of a vehicle has been known. For example, Patent Document 1 discloses a technique for performing driver authentication at the start of driving of a vehicle by accepting input of a driver name with an input device such as a touch screen or performing biometric authentication such as a fingerprint. ..

Japanese Unexamined Patent Publication No. 2011-242190

The driving support device described in Patent Document 1 requires an input operation and a contact operation for driver authentication. These operations and the like may be troublesome for the driver and may hinder the spread of the device.

The present invention has been made to solve the above-mentioned problems, and a main object of the present invention is to provide a driver estimation device capable of performing driver estimation without requiring a driver for a special operation or the like. And.

The invention according to claim is a driver estimation device, which is a receiving unit that is worn by a occupant of a vehicle and receives data related to the movement of the arm from a terminal that detects the movement of the occupant's arm. It is characterized by comprising an estimation unit for estimating whether or not the passenger is the driver of the vehicle based on the data regarding the movement of the arm.

The invention according to claim is the above estimation from a terminal worn by a occupant of a vehicle and detecting the movement of the occupant's arm to estimate whether the occupant is a driver of the vehicle. Based on the result of the estimation and the receiving unit that receives the result, it is estimated whether or not the passenger is the driver of the vehicle, or the receiving unit receives the result of the estimation and the result of the estimation. It is characterized by comprising an estimation unit for estimating whether or not the passenger is a driver of the vehicle based on the data regarding the movement of the arm.

The invention according to claim is based on a detection unit worn by a occupant of a vehicle and detecting the movement of the occupant's arm and the movement of the occupant's arm detected by the detection unit. It is characterized by comprising an estimation unit for estimating whether or not the driver is the driver of the vehicle.

The invention according to claim is a control method executed by a driver estimation device, which is worn by a occupant of a vehicle and receives data on the movement of the arm from a terminal that detects the movement of the occupant's arm. It is characterized by having a receiving step and an estimation step of estimating whether or not the passenger is the driver of the vehicle based on the data regarding the movement of the arm.

The invention according to the claim is a program executed by a computer, which is a receiving unit which is worn by a occupant of a vehicle and receives data related to the movement of the arm from a terminal which detects the movement of the occupant's arm. It is characterized in that the computer functions as an estimation unit for estimating whether or not the passenger is the driver of the vehicle based on the data regarding the movement of the arm.

It is a schematic diagram of a driver estimation system. It is a flowchart which shows an example of the procedure of a driver estimation process. It is a schematic diagram of the driver estimation system when a plurality of arm-worn terminals exist in a vehicle. It is a table showing the relationship between the driving operation and the running state of the vehicle. It is a flowchart which shows an example of the procedure of the driver estimation processing which concerns on a modification.

In one preferred embodiment of the invention, the driver estimation device comprises a receiver that is worn by the occupant of the vehicle and receives data about the movement of the arm from a terminal that detects the movement of the occupant's arm. It includes an estimation unit that estimates whether or not the occupant is the driver of the vehicle based on the data regarding the movement of the arm.

The driver estimation device includes a receiving unit and an estimation unit. The receiving unit is worn by the occupant of the vehicle and receives data on the movement of the arm from a terminal that detects the movement of the occupant's arm. The estimator estimates whether the occupant is the driver of the vehicle based on the data about the arm movement received by the receiver. In this aspect, the driver estimation device receives data on the movement of the arm from the terminal worn by the occupant, and estimates whether or not the occupant is the driver based on the data. In general, there is a clear difference in arm movement between a vehicle driver and a non-driving occupant due to the presence or absence of driving operation. Therefore, according to this aspect, the driver estimation device can suitably estimate whether or not the passenger wearing the terminal is a driver without requiring a special operation or the like.

In one aspect of the driver estimation device, the driver estimation device further includes an acquisition unit for acquiring driving motion data which is data related to arm movement during driving, and the estimation unit is the same as the driving motion data. , The driver is estimated based on the data on the movement of the arm. According to this aspect, the driver estimation device can suitably estimate whether or not the passenger wearing the terminal is a driver by receiving data on the movement of the arm from the terminal.

In another aspect of the driver estimation device, the estimation unit estimates whether or not the occupant is the driver of the vehicle based on the data regarding the movement of the arm and the running state of the vehicle. In general, the driving operations that the driver may perform are limited depending on the driving condition of the vehicle. Therefore, according to this aspect, the driver estimation device can more accurately estimate whether or not the passenger is a driver.

In another aspect of the driver estimation device, the estimation unit estimates the driver of the vehicle when the vehicle is stopped for a predetermined time. The "predetermined time" is set, for example, the time required for the driver to change based on an experiment or the like. According to this aspect, the driver estimation device estimates the driver of the vehicle when there is a possibility that the driver has been replaced, so that the driver after the replacement can be accurately estimated even when the driver is replaced. can.

In another aspect of the driver estimation device, the driver estimation device further includes a door open / close detection unit that detects the opening / closing of the door of the vehicle, and the estimation unit includes the vehicle when the door of the vehicle is closed. Estimate the driver of. In this aspect, the driver estimation device estimates the driver of the vehicle because the driver may have changed when the door is opened and closed. As a result, even when the driver is replaced, the driver after the replacement can be accurately estimated.

In another embodiment of the invention, the driver estimation device is worn by the occupant of the vehicle and detects the movement of the occupant's arm to estimate whether the occupant is the driver of the vehicle. Based on the receiving unit that receives the estimation result from the terminal to perform the estimation and the estimation result, it is estimated whether or not the passenger is the driver of the vehicle, or the estimation result and the estimation are estimated. It includes an estimation unit that estimates whether the occupant is a driver of the vehicle based on the result and the data regarding the movement of the arm received by the reception unit. According to this aspect, the driver estimation device can suitably estimate the driver from the estimation result received from the terminal that estimates whether the wearer is the driver of the vehicle. Further, the driver estimation device can also execute the estimation process by itself based on the data regarding the movement of the arm received together with the estimation result even when the reliability of the received estimation result is doubtful.

In another embodiment of the present invention, the driver estimation device is worn by a occupant of a vehicle and has a detection unit that detects the movement of the occupant's arm and a detection unit that detects the movement of the occupant's arm. It is provided with an estimation unit for estimating whether or not the passenger is the driver of the vehicle based on the above. According to this aspect, the driver estimation device can suitably estimate whether or not the wearer is a driver without requiring a special operation or the like.

In yet another embodiment of the invention, the control method performed by the driver estimation device is worn by the occupant of the vehicle and receives data on the movement of the arm from a terminal that detects the movement of the occupant's arm. It has a receiving step for estimating whether or not the occupant is the driver of the vehicle based on the data regarding the movement of the arm. By executing this control method, the driver estimation device can estimate whether or not the passenger wearing the terminal is a driver without requiring a special operation or the like.

In yet another embodiment of the invention, the program executed by the computer is a receiver that is worn by the occupant of the vehicle and receives data about the movement of the occupant from a terminal that detects the movement of the occupant's arm. And, based on the data on the movement of the arm, the computer functions as an estimation unit for estimating whether or not the passenger is the driver of the vehicle. By executing this program, the computer can estimate whether or not the passenger wearing the terminal is a driver without requiring a special operation or the like. Preferably, the program is stored in a storage medium.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

[Driver estimation system configuration]
FIG. 1 is a schematic diagram of a driver estimation system according to this embodiment. As shown in FIG. 1, the driver estimation system includes an arm-mounted terminal 1 worn on an arm by a vehicle occupant such as a driver, and a navigation device 2. The arm-worn terminal 1 and the navigation device 2 perform data communication wirelessly or by wire (wireless in FIG. 1).

The arm-worn terminal 1 is a wearable terminal that can be worn on the arm such as a smart watch, and is data representing the movement of the wearer's arm based on the request of the navigation device 2 (also referred to as "arm movement data Da"). Is transmitted to the navigation device 2. The arm-worn terminal 1 may be a terminal manufactured exclusively for the driver estimation system, or may be a general-purpose terminal in which a program for complying with the driver estimation system is installed.

The navigation device 2 is a stationary in-vehicle device or a portable terminal such as a PND (Portable Navigation Device) or a smartphone, and executes route guidance to a destination designated by the user. Further, in the present embodiment, the navigation device 2 pays attention to the difference in the movement of the arm between the driver of the vehicle and the occupant who does not drive, and based on the arm movement data Da received from the arm-worn terminal 1, the arm A process of determining whether or not the wearer of the wearable terminal 1 is a driver (also referred to as a "driver estimation process") is performed.

Next, each configuration of the arm-worn terminal 1 and the navigation device 2 will be described with reference to FIG. 1.

As shown in FIG. 1, the arm-worn terminal 1 mainly has a control unit 11, a communication unit 12, an acceleration sensor 13, a gyro sensor 14, and a storage unit 15. The communication unit 12 performs data communication with the navigation device 2 based on the control of the control unit 11.

The acceleration sensor 13 is, for example, a 3-axis acceleration sensor, and generates a detection signal according to the movement, posture (tilt), and vibration of the wearer's arm. When the wearer's arm is rotated, the gyro sensor 14 generates a detection signal indicating the angular velocity of the rotation. The storage unit 15 stores a program for controlling the operation of the arm-worn terminal 1 and holds information necessary for the operation of the arm-worn terminal 1. Further, the storage unit 15 stores identification information (also referred to as “terminal ID”) unique to the arm-worn terminal 1.

The control unit 11 of the arm-mounted terminal 1 includes a CPU (not shown) and the like, and performs various controls on each component in the arm-mounted terminal 1. In this embodiment, the control unit 11 receives the transmission request of the arm motion data Da from the navigation device 2 by the communication unit 12. In this case, the control unit 11 stores the acceleration and angular velocity time-series data (also referred to as “time-series measurement data”) measured by the acceleration sensor 13 and the gyro sensor 14 over a predetermined time width in the storage unit 15. The terminal ID is transmitted to the navigation device 2 by the communication unit 12 as arm motion data Da.

Next, the configuration of the navigation device 2 will be described. As shown in FIG. 1, the navigation device 2 mainly includes a control unit 21, a positioning unit 22, a display unit 23 such as a display, a sound output unit 24 such as a speaker, an input unit 25, and a storage unit 26. And a communication unit 27.

The positioning unit 22 is an independent positioning device such as a gyro sensor or a distance sensor, a GPS receiver, or the like, and performs positioning such as the current location and the traveling direction of the vehicle. The display unit 23 displays a map or the like for route guidance based on the control of the control unit 21. The sound output unit 24 outputs voice guidance for route guidance, a predetermined warning, and the like based on the control of the control unit 21. The input unit 25 is a button, a switch, a touch panel, a voice input device, or the like, and supplies the input information to the control unit 21. Based on the control of the control unit 21, the communication unit 27 transmits a request signal for the arm movement data Da to the arm-worn terminal 1 and receives the arm movement data Da transmitted from the arm-worn terminal 1. do. The communication unit 27 is an example of the “reception unit” in the present invention.

The storage unit 26 stores a program for controlling the operation of the navigation device 2 and holds information necessary for the operation of the navigation device 2. For example, the storage unit 26 stores map data including road data in which road types and the like are registered. Further, the storage unit 26 is a time-series output data group of the acceleration sensor 13 and the gyro sensor 14 when the wearer of the unspecified arm-mounted terminal 1 performs the arm movement peculiar to the driver (“driver operation data”). Also called "Dtpp") is stored in advance. The driver-specific movement corresponds to various driving movements such as an operation of rotating the steering wheel, an operation of operating the shift lever, and an operation of operating the winker, and the storage unit 26 is a driver corresponding to each of these driving movements. The operation data Dtpp is stored. The driver operation data Dtpp is, for example, time-series measurement data of acceleration and angular velocity measured when a person of a standard physique performs a driving operation in a vehicle of a standard size.

The control unit 21 includes a CPU (not shown) and the like, and performs various controls on each component in the navigation device 2. In this embodiment, when the control unit 21 receives the arm movement data Da from the arm-mounted terminal 1, the control unit 21 wears the arm-mounted terminal 1 based on the time-series measurement data of the acceleration and the angular velocity included in the arm movement data Da. Determines whether or not the person is a driver. When the control unit 21 determines that the wearer of the arm-worn terminal 1 is the driver, the control unit 21 uses the terminal ID included in the received arm movement data Da as the terminal ID of the arm-worn terminal 1 worn by the driver. It is stored in the storage unit 26. After that, for example, the control unit 21 transmits a control signal instructing the arm-worn terminal 1 corresponding to the terminal ID stored in the storage unit 26 to execute a predetermined operation for supporting the driver's driving. The control unit 21 is an example of the “estimation unit” and the “computer” that executes the program in the present invention.

[Driver estimation process]
Next, the details of the driver estimation process executed by the control unit 21 of the navigation device 2 will be described. Briefly, when the control unit 21 determines that the wearer of the arm-mounted terminal 1 has performed a driving motion based on the time-series measurement data of acceleration and angular velocity included in the arm motion data Da, the arm-mounted terminal 21 It is estimated that the wearer of 1 is the driver.

In this case, the control unit 21 uses a known pattern recognition technique to obtain a predetermined driver operation data Dtpm for each driving operation and time-series measurement data of acceleration and angular velocity received from the arm-worn terminal 1. Make a similarity judgment. Then, when the time-series measurement data is similar to or substantially matches the driver motion data Dtpm corresponding to any of the driving motions, the control unit 21 of the arm-worn terminal 1 which is the source of the arm motion data Da. It is estimated that the wearer is the driver. In this case, instead of directly comparing the driver operation data Dtmp and the time-series measurement data of the acceleration and the angular velocity received from the arm-worn terminal 1, the control unit 21 publicly knows the feature amount having a predetermined dimension as a feature. These similarity determinations may be made by extracting using the pattern recognition technique of the above and comparing the extracted feature quantities.

Further, preferably, the control unit 21 stores the time-series measurement data of the acceleration and the angular velocity used in the driver estimation process in the storage unit 26, and the accumulated time-series measurement data is used for driver estimation instead of the driver operation data Dtmp. It should be used for processing. In this case, when the control unit 21 estimates that the wearer of the arm-mounted terminal 1 is the driver based on the driver estimation process, the control unit 21 stores the time-series measurement data of the acceleration and the angular velocity used in the driver estimation process in the storage unit 26. Memorize and accumulate. Then, when the control unit 21 accumulates time-series measurement data of acceleration and angular velocity more than a predetermined number of times, the control unit 21 estimates the driver by using the accumulated data instead of the driver operation data Dtmp. In this case, the control unit 21 may determine whether or not the accumulated data exists and determine the number of times of accumulation for each operation operation, and determine whether or not to use the accumulated data instead of the driver operation data Dtmp.

Preferably, when the stored data is used instead of the driver operation data Dtp, the control unit 21 executes known learning for each driving operation, thereby accelerating and angular velocity for each driving operation. It is advisable to model the time-series changes in. In this case, after receiving the arm motion data Da, the control unit 21 determines the similarity between the time-series changes in the acceleration and the angular velocity for each modeled driving motion and the time-series measurement data included in the arm motion data Da. This determines whether or not the wearer of the arm-worn terminal 1 is a driver.

Here, the effect of accumulating and utilizing time-series measurement data of acceleration and angular velocity will be supplementarily explained. In general, the behavior of the arm based on the driving motion differs depending on the type of vehicle to be driven (ordinary passenger car, large vehicle, bus, etc.) even if the driving motion is the same, and there are individual differences for each driver. On the other hand, the combination of the navigation device 2 and the vehicle and the combination of the navigation device 2 and the driver are often fixed or limited. In consideration of the above, the control unit 21 accumulates time-series measurement data of acceleration and angular velocity and utilizes it as a sample (template) for driver estimation. Thereby, the navigation device 2 can execute the driver estimation process accurately and in a relatively short time according to the type of the vehicle and the individuality of the driving operation of the driver.

[Processing flow]
FIG. 2 is a flowchart showing an example of the procedure of the driver estimation process according to the present embodiment.

First, the navigation device 2 determines whether or not it has detected that the engine switch of the vehicle on which the navigation device 2 is mounted is turned on (step S101). For example, the navigation device 2 receives information to the effect that the engine switch is turned on when power is supplied from the vehicle or from the control unit (ECU: Electronic Control Unit) of the vehicle by CAN (Controller Area Network) or the like. If so, it is determined that the engine switch of the vehicle has been turned on.

Then, when it is detected that the engine switch is turned on (step S101; Yes), the navigation device 2 transmits the request signal of the arm movement data Da to the arm-worn terminal 1 (step S102). In this case, the navigation device 2 may unspecifiedly transmit the above-mentioned request signal by broadcasting, and if there is an arm-worn terminal 1 for which communication has already been established, the navigation device 2 transmits the above-mentioned request signal to the arm-worn terminal 1. You may.

When the arm-mounted terminal 1 receives the request signal of the arm movement data Da from the navigation device 2, the arm-worn terminal 1 measures the arm movement by the acceleration sensor 13 and the gyro sensor 14 (step S103). Then, the arm-mounted terminal 1 transmits the arm motion data Da including the time-series measurement data of the acceleration sensor 13 and the gyro sensor 14 and the terminal ID of the arm-mounted terminal 1 to the navigation device 2 (step S104). .. Then, the navigation device 2 receives the arm movement data Da (step S105).

Next, in the navigation device 2, based on the time-series measurement data of acceleration and angular velocity included in the received arm movement data Da, the wearer of the arm-worn terminal 1 which is the source of the arm movement data Da is assumed to be the driver. It is determined whether or not it can be estimated (step S106). Specifically, the navigation device 2 determines whether or not any of the driving operations has been performed by determining the similarity between the driver operation data Dtpm for each driving operation and the time-series measurement data of acceleration and angular velocity. .. In this case, if the navigation device 2 stores the acceleration and angular velocity time-series measurement data stored in the storage unit 26 when it is estimated to be the driver in the previous driver estimation process, the stored data is used. Based on this, it may be determined whether or not any of the driving operations has been performed.

Then, when the wearer of the arm-mounted terminal 1 which is the source of the arm movement data Da can be estimated to be the driver (step S106; Yes), the navigation device 2 is the arm which is the source of the arm movement data Da. The wearer of the wearable terminal 1 is regarded as a driver, and the terminal ID included in the arm movement data Da is stored in the storage unit 26 (step S107). On the other hand, when the wearer of the arm-mounted terminal 1 which is the source of the arm movement data Da cannot be estimated to be the driver (step S106; No), the navigation device 2 returns the process to step S102 again and the arm movement data. Da is received, and it is determined whether or not the source of the arm motion data Da is the terminal equipped with the driver. If the navigation device 2 cannot presume that the wearer of the arm-worn terminal 1 is the driver in step S106 more than a predetermined number of times, the navigation device 2 determines that the wearer of the arm-worn terminal 1 is not the driver, and steps. The processing of the flowchart may be terminated without executing S107.

In the flowchart of FIG. 2, the arm-worn terminal 1 transmits the arm motion data Da to the navigation device 2 in step S103 each time there is a request to transmit the arm motion data Da in step S102. Instead of this, the arm-worn terminal 1 receives a notification from the navigation device 2 that the arm movement data Da is unnecessary after the transmission request of the arm movement data Da in step S102 is received once. Da may be repeatedly generated and transmitted.

[When there are multiple arm-worn terminals]
Next, a supplementary description will be given when there are a plurality of arm-mounted terminals 1 in the vehicle (that is, when a plurality of passengers are wearing the arm-mounted terminals 1). FIG. 3 shows a schematic diagram of a driver estimation system when a plurality of arm-mounted terminals 1 (1A, 1B, ...) Are present in the same vehicle together with the navigation device 2.

In the case of FIG. 3, when the arm-mounted terminal 1A and the arm-mounted terminal 1B receive the request signal of the arm movement data Da from the navigation device 2, the arm movement data Da including the terminal ID unique to the terminal is used as the navigation device 2. Send to. Then, the navigation device 2 determines whether or not the wearer of the arm-mounted terminal 1A is a driver based on the arm movement data Da received from the arm-mounted terminal 1A, and receives the data from the arm-mounted terminal 1B. Based on the arm movement data Da, it is determined whether or not the wearer of the arm-worn terminal 1B is a driver. When the navigation device 2 determines that the wearer of any of the arm-mounted terminals 1A and 1B is the driver, the navigation device 2 stores the terminal ID of the arm-mounted terminal 1 corresponding to the wearer determined to be the driver in the storage unit 26. Remember in.

As described above, even when a plurality of arm-mounted terminals 1 are present in the vehicle, the navigation device 2 is a wearer of each arm-mounted terminal 1 based on the arm motion data Da of each arm-mounted terminal 1. Determines if is a driver. As a result, the navigation device 2 can accurately estimate the driver even when a plurality of arm-mounted terminals 1 are present in the vehicle.

As described above, the control unit 21 of the navigation device 2 according to the present embodiment has an acceleration and an angular velocity indicating the movement of the occupant's arm from the arm-worn terminal 1 worn by the occupant of the vehicle by the communication unit 27. Receives arm motion data Da including time-series measurement data of. Then, the control unit 21 of the navigation device 2 estimates whether or not the passenger is the driver of the vehicle based on the arm motion data Da of the passenger received by the communication unit 27. In general, there is a clear difference in arm movement between a vehicle driver and a non-driving occupant due to the presence or absence of driving motion. Therefore, the navigation device 2 can suitably estimate whether or not the passenger wearing the arm-worn terminal 1 is a driver according to this aspect.

[Modification example]
Hereinafter, a modification suitable for the above-mentioned embodiment will be described. The modifications shown below may be applied to the above-mentioned examples in any combination.

(Modification 1)
The navigation device 2 may execute the driver estimation process in consideration of the traveling state of the vehicle when the driving operation is performed.

FIG. 4 is a table showing the relationship between the driving operation and the running state of the vehicle. In the table of FIG. 4, the driving state of the vehicle assumed when the driving operation is performed is associated with each driving operation. For example, in the case of an operation of rotating the steering wheel, a right / left turn and a lane change of the vehicle are associated as an assumed traveling state, and in the case of an operation of operating a shift lever, the assumed traveling state is The forward and backward movements of the vehicle are associated, and the movement of operating the turn signal is associated with turning left and right of the vehicle and changing lanes as the assumed traveling state of the vehicle. The storage unit 26 stores in advance a table showing the relationship between the driving operation and the running state of the vehicle as shown in FIG.

Next, a method of utilizing the table in FIG. 4 will be described. When the control unit 21 of the navigation device 2 detects any driving motion peculiar to the driver based on the time-series measurement data of the acceleration and the angular velocity included in the arm motion data Da as in the embodiment, the acceleration and the angular velocity are further measured. Recognize the running state of the vehicle in. Next, the control unit 21 refers to the table of FIG. 4, and when the combination of the detected driving motion and the recognized driving state of the vehicle is recorded in the table shown in FIG. 4, the arm-worn terminal 1 is used. It is estimated that the wearer is the driver. In other words, even when the control unit 21 detects any driving motion peculiar to the driver based on the time-series measurement data of acceleration and angular velocity, the driving motion detected by the recognized driving state of the vehicle and FIG. 4 If it is not associated in the table, it is considered that the driving operation is falsely detected.

Here, a specific example of a driving state recognition method for referring to the table of FIG. 4 will be described.

For example, the control unit 21 includes a gyro sensor that outputs a signal corresponding to a change in the traveling direction of the vehicle, a vehicle speed sensor or an acceleration sensor for detecting the forward / backward movement of the vehicle, a camera for detecting a lane change, and the like. Based on the output of the positioning unit 22, it recognizes the traveling state of the vehicle such as turning left and right, moving forward and backward, and changing lanes. At this time, the control unit 21 sends the output of the positioning unit 22 for a predetermined time to the buffer of the storage unit 26 or the like in consideration of the time lag between the time when the operation operation is detected and the time when the operation operation is actually performed. It may be stored, and when the driving operation is detected, the running state of the vehicle when the driving operation is performed may be recognized based on the output of the positioning unit 22 before a predetermined time.

In another example, the control unit 21 acquires information such as steering angle information of the steering wheel, position information of the shift lever, and information on the position of the winker from the control unit (ECU) of the vehicle by the communication unit 27, so that the traveling state of the vehicle is obtained. May be estimated.

The combination of the driving operation used for the driver estimation process and the traveling state of the vehicle during the driving operation is not limited to the combination shown in FIG. For example, if the navigation device 2 receives arm motion data Da from the arm-mounted terminal 1 and can perform driver estimation processing even when the vehicle engine is off, the navigation device 2 performs an engine start operation while the vehicle is stopped. When detected, it may be presumed that the wearer of the arm-worn terminal 1 is the driver. In this case, the navigation device 2 detects the operation of inserting the key and the operation of twisting the engine start switch based on the received arm motion data Da, and determines that the vehicle has stopped when these motions are detected. Judging from the output of the unit 22, it is estimated that the wearer of the arm-worn terminal 1 is the driver. Similarly, when the navigation device 2 detects the boarding motion of the wearer of the arm-worn terminal 1 on the vehicle, it may presume that the wearer of the arm-worn terminal 1 is the driver. In this case, when the navigation device 2 detects the operation of opening the door, the operation of sitting on the seat, and the operation of wearing the seatbelt based on the received arm movement data Da, the wearer of the arm-worn terminal 1 is the driver. I presume there is.

(Modification 2)
When the arm-mounted terminal 1 does not have the gyro sensor 14, the navigation device 2 may execute the driver estimation process based only on the output of the acceleration sensor 13. In this case, the arm-worn terminal 1 transmits the time-series measurement data of the acceleration sensor 13 to the navigation device 2 as the arm motion data Da, and the navigation device 2 is the driver motion data Dtmp relating to the acceleration for each driving motion measured in advance. Etc., and the driver estimation process is performed based on the received time-series measurement data of the acceleration sensor 13.

(Modification 3)
The navigation device 2 may re-execute the driver estimation process even after the driver can be authenticated, if a predetermined condition for determining that the driver may have been replaced is satisfied.

For example, when the navigation device 2 detects the opening and closing of the door of the vehicle, it determines that the driver may have changed. In this case, the navigation device 2 detects the opening / closing of the door of the vehicle by receiving a signal regarding the opening / closing of the door from the control unit (ECU) of the vehicle by, for example, a protocol such as CAN. Then, when the opening / closing of the door of the vehicle is detected, the navigation device 2 receives the arm movement data Da by transmitting the request signal of the arm movement data Da to the arm-worn terminal 1. Then, when the navigation device 2 determines in step S106 of FIG. 2 that the wearer of the arm-mounted terminal 1 having a terminal ID different from the terminal ID previously recorded in step S107 is the driver, the arm worn by the driver. The record of the terminal ID of the wearable terminal 1 is rewritten. If the wearer of the arm-worn terminal 1 of the terminal ID previously recorded in step S107 cannot be estimated to be the driver in step S106, the navigation device 2 uses the terminal ID previously recorded in step S107. You may erase it.

In another example, when the navigation device 2 detects that the vehicle has started after stopping at a parking lot (including a service area or a parking area of an expressway) registered in the map data, or a place other than the parking lot. When it is detected that the vehicle has started after stopping for a predetermined time, it may be determined that the driver may have changed and the driver estimation process may be executed again.

As described above, according to this modification, the navigation device 2 is a driver after the replacement even if the driver is replaced between the time when the engine switch is turned on and the time when the engine switch is turned off again. Can be recognized at any time. The control unit 21 is an example of the "door open / close detection unit" in the present invention.

(Modification example 4)
The navigation device 2 may receive arm motion data Da or the like via a communication unit (also referred to as “vehicle communication unit”) (also referred to as “vehicle communication unit”) under the control of the vehicle control unit. In this case, the arm-worn terminal 1 and the vehicle communication unit, and the navigation device 2 and the vehicle communication unit each establish communication, and the vehicle communication unit receives an arm motion data Da transmission request received from the navigation device 2. It is transferred to the wearable terminal 1 or the arm motion data Da received from the arm-worn terminal 1 is transferred to the navigation device 2.

(Modification 5)
In the example of FIG. 3, the arm-worn terminal 1 transmitted the arm movement data Da in step S104 based on the transmission request of the arm movement data Da from the navigation device 2. Instead of this, when the arm-mounted terminal 1 recognizes the wearer's riding on the vehicle based on the communication with the control unit of the vehicle or the output of a sensor (not shown), the arm motion data Da May be generated and the arm movement data Da may be transmitted to the navigation device 2.

(Modification 6)
The vehicle control unit (ECU) may execute the driver estimation process executed by the navigation device 2 in this embodiment instead of the navigation device 2.

In this case, for example, the vehicle control unit exchanges arm motion data Da and the like with the arm-worn terminal 1 by the vehicle communication unit described in the modification 4, and also performs driver motion data Dtpp and the like necessary for driver estimation processing. It is stored in a storage unit (not shown). Then, the vehicle control unit executes the processes of steps S101 to S102 and steps S105 to S107 of FIG. In this case, the vehicle communication unit is an example of the "reception unit" in the present invention, and the vehicle control unit is an example of the "estimation unit" and the "computer" that executes the program in the present invention.

(Modification 7)
The driver estimation system is composed of only the arm-mounted terminal 1, and the arm-mounted terminal 1 may execute the processing of the navigation device 2.

FIG. 5 is an example of a flowchart showing a procedure of driver estimation processing when the arm-worn terminal 1 executes the processing of the navigation device 2 of the embodiment.

First, the arm-worn terminal 1 determines whether or not the wearer's riding is detected (step S201). For example, the arm-worn terminal 1 receives predetermined information such as that the engine switch is turned on or that the door is opened / closed from the control unit of the vehicle, or detects a predetermined user input. Etc., it is judged that the wearer has boarded. Then, when the arm-mounted terminal 1 detects the ride of the wearer (step S201; Yes), the arm-mounted terminal 1 measures the arm movement by the acceleration sensor 13 and the gyro sensor 14 (step S202). Then, the arm-mounted terminal 1 refers to the driver operation data Dtmp or the like stored in the storage unit 15 and determines whether or not the wearer can presume that the driver is the driver (step S203), as in step S106 of FIG. Then, when the wearer can be presumed to be the driver (step S203; Yes), the arm-worn terminal 1 shifts to the mode on the premise that the wearer is the driver (step S204). In this case, the arm-worn terminal 1 outputs, for example, guidance or a warning for supporting driving.

(Modification 8)
The arm-worn terminal 1 determines whether or not the wearer of the own terminal is a driver instead of the navigation device 2, and when it is determined that the wearer is the driver, the terminal ID or the like of the own terminal is used as the navigation device. You may send to 2.

In this case, the arm-worn terminal 1 estimates whether or not the wearer is a driver, and when it is estimated that the wearer is a driver, the arm-worn terminal 1 estimates the estimation result information together with the terminal ID. It is transmitted to the navigation device 2. When the navigation device 2 receives the information of the above estimation result from the arm-mounted terminal 1, the navigation device 2 considers that the wearer of the arm-mounted terminal 1 is the driver by referring to the information, and the arm-mounted terminal 1 The terminal ID of is stored in the storage unit 26.

In this case, preferably, the arm-worn terminal 1 transmits the time-series measurement data of the acceleration and the angular velocity used for the driver estimation process to the navigation device 2 together with the information of the estimation result, and appropriately performs the driver estimation process to the navigation device 2. May be executed. In this case, for example, when the driver cannot be specified from the estimated result of the received driver, the navigation device 2 is based on the time-series measurement data of the acceleration and the angular velocity received from the arm-worn terminal 1, and the driver is the same as in the embodiment. Perform estimation processing. Then, when the wearer of the arm-worn terminal 1 can be estimated to be the driver, the navigation device 2 stores the terminal ID of the arm-worn terminal 1 in the storage unit 26. The above-mentioned "when the driver cannot be specified" means, for example, that the estimation result of the driver received from the plurality of arm-mounted terminals 1 indicates that the wearer of each arm-mounted terminal 1 is the driver. This applies when the driver cannot be identified as one person. In this case, in the navigation device 2, which of the acceleration and angular velocity time-series measurement data received from each arm-worn terminal 1 is the driver operation data Dtmp or the measurement data at the time of driver authentication stored in the storage unit 26, which is the most. One driver is identified from a plurality of driver candidates by performing a similarity determination as to whether or not they are similar.

In the modified examples 7 and 8, the arm-mounted terminal 1 is an example of the "driver estimation device" in the present invention, and the control unit 11 is an example of the "detection unit" and the "estimation unit" in the present invention. ..

(Modification 9)
The navigation device 2 may be an in-vehicle device (for example, a drive recorder or the like) for purposes other than route guidance.

1 Arm-mounted terminal 2 Navigation device 11, 21 Control unit 12, 27 Communication unit 13 Accelerometer 14 Gyro sensor 15, 26 Storage unit 23 Display unit 24 Sound output unit 25 Input unit

Claims (1)

A receiver that is worn by the occupant of the vehicle and receives data related to the movement of the arm from a terminal that detects the movement of the occupant's arm.
An estimation unit that estimates whether the passenger is the driver of the vehicle based on the data on the movement of the arm, and
A driver estimation device characterized by comprising.

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