JP2016223995A - Driver estimation device, control method, program, and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: 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 is known. For example, Patent Literature 1 discloses a technique for performing driver authentication at the start of driving of a vehicle by receiving an input of a driver name with an input device such as a touch screen or performing biometric authentication such as a fingerprint. .

JP 2011-242190 A

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

  The present invention has been made to solve the above-described problems, and a main object of the present invention is to provide a driver estimation device that can perform driver estimation without requiring a special operation or the like from the driver. And

  The invention described in claim is a driver estimation device, a receiving unit that is worn by a passenger of a vehicle and receives data on the movement of the arm from a terminal that detects the movement of the arm of the passenger, and An estimator that estimates whether or not the occupant is a driver of the vehicle based on data relating to arm movements.

  The invention described in claim is a device that is worn by a vehicle occupant and detects a movement of the arm of the occupant, thereby estimating whether the occupant is a driver of the vehicle. Based on the result of the estimation and the result of the estimation, the reception unit estimates whether the occupant is a driver of the vehicle, or the reception unit receives the result of the estimation and the result of the estimation. And an estimation unit that estimates whether the occupant is a driver of the vehicle based on the data relating to the movement of the arm.

  The invention described in the claims is based on a detection unit that is mounted by a vehicle occupant and detects the movement of the arm of the occupant, and based on the movement of the arm of the occupant detected by the detection unit. And an estimation unit for estimating whether or not the vehicle is a driver of the vehicle.

  The invention described in claim is a control method executed by the driver estimation device, and receives data relating to the movement of the arm from a terminal worn by a vehicle occupant and detecting the movement of the arm of the occupant. And a receiving step and an estimating step of estimating whether or not the occupant is a driver of the vehicle based on data relating to the movement of the arm.

  The invention described in claim is a program that is executed by a computer and that is received by a passenger of a vehicle and receives data related to the movement of the arm from a terminal that detects the movement of the arm of the passenger. The computer is caused to function as an estimation unit that estimates whether the occupant is a driver of the vehicle based on data relating to 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 a driver presumption system in case a plurality of arm wearing type terminals exist in a car. It is a table which shows the relationship between a driving | running operation | movement and the driving state of a vehicle. It is a flowchart which shows an example of the procedure of the driver estimation process which concerns on a modification.

  In one preferred embodiment of the present invention, the driver estimation device is a receiving unit that is worn by a passenger of a vehicle and receives data related to the movement of the arm from a terminal that detects the movement of the arm of the passenger. An estimation unit configured to estimate whether or not the occupant is a driver of the vehicle based on data relating to the movement of the arm.

  The driver estimation device includes a reception unit and an estimation unit. The receiving unit receives data relating to the movement of the arm from a terminal worn by the passenger of the vehicle and detecting the movement of the arm of the passenger. The estimation unit estimates whether or not the occupant is a driver of the vehicle based on the data regarding the arm movement received by the reception unit. In this aspect, the driver estimation device receives data relating to arm movements from a terminal worn by the passenger, and estimates whether the passenger is a driver based on the data. In general, there is a clear difference in arm movement between a driver of a vehicle and an occupant who does not drive due to the presence or absence of a driving operation. Therefore, according to this aspect, the driver estimation device can appropriately 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 that acquires driving operation data that is data relating to the movement of the arm during driving, which is created in advance, and the estimation unit includes the driving operation data and The driver is estimated based on the data regarding the movement of the arm. According to this aspect, the driver estimation device can appropriately estimate whether or not the passenger wearing the terminal is a driver by receiving data regarding 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 a driver of the vehicle based on the data relating to the movement of the arm and the running state of the vehicle. In general, the driving operations that the driver may perform according to the traveling state of the vehicle are limited. 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 a driver of the vehicle when the vehicle stops for a predetermined time. The “predetermined time” is set based on an experiment or the like, for example, a time required for the driver to change. According to this aspect, the driver estimation device can estimate the driver after the change accurately even if the driver is changed by estimating the driver of the vehicle when the driver may be changed. it can.

  In another aspect of the driver estimation device, the driver estimation device further includes a door opening / closing detection unit that detects opening / closing of the door of the vehicle, and the estimation unit, when the door of the vehicle is closed, Estimate the driver. 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. Thereby, even if the driver is changed, the driver after the change can be accurately estimated.

  In another embodiment according to the present invention, the driver estimation device is worn by a vehicle occupant and detects movement of the arm of the occupant to estimate whether the occupant is a driver of the vehicle. A receiving unit that receives the estimation result from a terminal that performs the estimation, and based on the estimation result, estimates whether the occupant is a driver of the vehicle, or the estimation result and the estimation And an estimation unit that estimates whether or not 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 preferably estimate the driver from the estimation result received from the terminal that estimates whether the wearer is a driver of the vehicle. Further, the driver estimation device can execute the estimation process by itself based on the data regarding the arm movement received together with the estimation result even when the reliability of the received estimation result is in doubt.

  In another embodiment according to the present invention, the driver estimation device includes a detection unit that is mounted on a vehicle occupant and detects movement of the occupant's arm, and the movement of the occupant's arm detected by the detection unit. And an estimation unit that estimates whether the occupant is a driver of the vehicle. According to this aspect, the driver estimation device can appropriately estimate whether or not the wearer is a driver without requiring a special operation or the like.

  In still another embodiment of the present invention, the control method executed by the driver estimation device receives data relating to the arm movement from a terminal worn by a vehicle occupant and detecting the movement of the arm of the occupant. And an estimation step of estimating whether or not the occupant is a driver of the vehicle based on data relating to 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 still another embodiment of the present invention, a program executed by a computer is a receiving unit that is installed by a passenger of a vehicle and receives data related to the movement of the arm from a terminal that detects the movement of the arm of the passenger. Then, based on the data relating to the movement of the arm, the computer is caused to function as an estimation unit that estimates whether the occupant is a driver of the vehicle. By executing this program, the computer can estimate whether 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.

[Configuration of driver estimation system]
FIG. 1 is a schematic diagram of a driver estimation system according to the present embodiment. As shown in FIG. 1, the driver estimation system includes an arm-mounted terminal 1 that a vehicle passenger such as a driver (driver) wears on an arm, and a navigation device 2. The wrist-worn terminal 1 and the navigation device 2 perform data communication by wireless or wired (wireless in FIG. 1).

  The wrist-worn terminal 1 is a wearable terminal that can be worn on an arm, such as a smart watch, and is data indicating movement of the wearer's arm based on a request from the navigation device 2 (also referred to as “arm motion data Da”). Is transmitted to the navigation device 2. The wrist-worn terminal 1 may be a terminal manufactured exclusively for the driver estimation system or a general-purpose terminal in which a program for conforming to 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 performs route guidance to a destination designated by the user. Further, in this embodiment, the navigation device 2 pays attention to the difference in arm movement between the driver of the vehicle and the occupant who does not drive, and based on the arm motion data Da received from the arm-mounted terminal 1, A process of determining whether or not the wearer of the wearable terminal 1 is a driver (also referred to as “driver estimation process”) is performed.

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

  As shown in FIG. 1, the wrist-worn terminal 1 mainly includes 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 triaxial acceleration sensor, and generates a detection signal corresponding to the movement, posture (tilt), and vibration of the wearer's arm. When the wearer's arm rotates, 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 wrist-worn terminal 1.

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

  Next, the configuration of the navigation device 2 will be described. As shown in FIG. 1, the navigation apparatus 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 a self-supporting 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 of the vehicle and the traveling direction. The display unit 23 displays a map 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, switch, touch panel, voice input device, or the like, and supplies 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 operation data Da to the arm-mounted terminal 1, and receives the arm operation data Da transmitted from the arm-mounted terminal 1. To 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. In addition, the storage unit 26 outputs data groups (“driver operation data”) of the acceleration sensor 13 and the gyro sensor 14 in time series when the wearer of the unspecified arm-mounted terminal 1 performs a driver-specific arm movement. Dtmp "is also stored in advance. The movement specific to the driver corresponds to various driving operations such as an operation of rotating the steering wheel, an operation of operating the shift lever, and an operation of operating the blinker. The storage unit 26 stores the driver corresponding to each of these driving operations. The operation data Dtmp is stored. The driver operation data Dtmp is, for example, time-series measurement data of acceleration and angular velocity measured when a person with a standard physique performs a driving operation on a vehicle having 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 the present embodiment, when the control unit 21 receives the arm movement data Da from the arm wearing type terminal 1, the wearing of the arm wearing type terminal 1 is performed based on the time series measurement data of acceleration and angular velocity included in the arm movement data Da. It is determined whether the person is a driver. When the control unit 21 determines that the wearer of the arm-worn terminal 1 is a driver, the control unit 21 uses the terminal ID included in the received arm motion data Da as the terminal ID of the arm-worn terminal 1 worn by the driver. Store in the storage unit 26. Thereafter, for example, the control unit 21 transmits a control signal instructing execution of a predetermined operation for supporting driving of the driver to the arm-mounted terminal 1 corresponding to the terminal ID stored in the storage unit 26. The controller 21 is an example of an “estimator” and a “computer” that executes a program in the present invention.

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

  In this case, the control unit 21 uses a known pattern recognition technique to calculate the driver operation data Dtmp for each predetermined driving operation and the time-series measurement data of acceleration and angular velocity received from the arm-mounted terminal 1. Perform similarity determination. Then, when the time-series measurement data is similar or substantially coincident with the driver operation data Dtmp corresponding to any driving operation, the control unit 21 of the arm-mounted terminal 1 that is the transmission source of the arm operation data Da. Presumes that the wearer is a driver. In this case, instead of directly comparing the driver operation data Dtmp and the time-series measurement data of acceleration and angular velocity received from the wrist-worn terminal 1, the control unit 21 publicly knows feature quantities of predetermined dimensions that are features of each. These similarity determinations may be performed by extracting using the pattern recognition technique and comparing the extracted feature quantities.

  Preferably, the control unit 21 accumulates the time series measurement data of acceleration and angular velocity used in the driver estimation processing in the storage unit 26, and the accumulated time series measurement data is driver estimated instead of the driver operation data Dtmp. It is good to use for processing. In this case, when the control unit 21 estimates that the wearer of the wrist-worn terminal 1 is a driver based on the driver estimation process, the time series measurement data of acceleration and angular velocity used in the driver estimation process are stored in the storage unit 26. Remember and accumulate. For example, when the time series measurement data of acceleration and angular velocity is accumulated 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 the number of accumulations for each driving operation, and determine whether or not to use the driver operation data Dtmp instead.

  Preferably, when using the accumulated data instead of the driver operation data Dtmp, the control unit 21 performs known learning on the data accumulated for each driving operation, so that the acceleration and angular velocity for each driving operation are performed. It is better to model the time-series change. In this case, after receiving the arm motion data Da, the control unit 21 performs similarity determination between the time-series change in acceleration and angular velocity for each modeled driving motion and the time-series measurement data included in the arm motion data Da. Thus, it is determined whether or not the wearer of the wrist-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 described. In general, the behavior of the arm based on the driving operation varies depending on the type of vehicle to be driven (normal passenger car, large vehicle, bus, etc.) even in the same driving operation, 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 generally fixed or limited. In consideration of the above, the control unit 21 accumulates time-series measurement data of acceleration and angular velocity and uses them as a sample (template) for driver estimation. Thereby, the navigation apparatus 2 can perform a driver estimation process accurately and in a comparatively short time according to the kind of vehicle and the individuality of the driving | running operation of a driver.

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

  First, the navigation device 2 determines whether or not it is 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 indicating that the engine switch has been turned on from a vehicle control unit (ECU: Electronic Control Unit) by a CAN (Controller Area Network) or the like. If so, it is determined that the engine switch of the vehicle has been turned on.

  If it is detected that the engine switch is turned on (step S101; Yes), the navigation device 2 transmits a request signal for the arm motion data Da to the arm-mounted terminal 1 (step S102). In this case, the navigation device 2 may transmit the above-described request signal unspecified by broadcasting, and transmits to the arm-mounted terminal 1 when there is an arm-mounted terminal 1 that has already established communication. May be.

  When the arm wearing type terminal 1 receives the request signal of the arm movement data Da from the navigation device 2, the arm wearing type terminal 1 measures the arm movement by the acceleration sensor 13 and the gyro sensor 14 (step S103). The arm-mounted terminal 1 transmits arm motion data Da including 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). . The navigation device 2 receives the arm motion 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 motion data Da, the wearer of the arm-mounted terminal 1 that is the transmission source of the arm motion data Da is a driver. It is determined whether it can be estimated (step S106). Specifically, the navigation device 2 determines whether any driving operation has been performed by performing similarity determination between the driver operation data Dtmp for each driving operation and the time-series measurement data of acceleration and angular velocity. . In this case, when the navigation device 2 has accumulated time-series measurement data of acceleration and angular velocity stored in the storage unit 26 when it is estimated that the driver is a driver in the previous driver estimation process, the navigation data 2 is stored in the accumulated data. Based on this, it may be determined whether any driving operation has been performed.

  When the navigation apparatus 2 can estimate that the wearer of the arm-worn terminal 1 that is the transmission source of the arm motion data Da is a driver (step S106; Yes), the arm that is the transmission source of the arm motion data Da The wearer of the wearable terminal 1 is regarded as a driver, and the terminal ID included in the arm motion data Da is stored in the storage unit 26 (step S107). On the other hand, if the wearer of the arm-worn terminal 1 that is the transmission source of the arm motion data Da cannot be estimated as the driver (step S106; No), the navigation device 2 returns the processing to step S102 again, and the arm motion data Da is received, and it is determined whether or not the transmission source of the arm motion data Da is a driver wearing terminal. Note that the navigation device 2 determines that the wearer of the arm-worn terminal 1 is not a driver when the wearer of the arm-worn terminal 1 cannot be estimated as a driver in step S106 a predetermined number of times or more, and step The processing of the flowchart may be terminated without executing S107.

  In the flowchart of FIG. 2, the arm-mounted terminal 1 transmits the arm motion data Da to the navigation device 2 in step S103 every time there is a transmission request for the arm motion data Da in step S102. Instead of this, the arm-mounted terminal 1 does not receive the arm motion data Da until it receives a notification from the navigation device 2 that the arm motion data Da is unnecessary after the transmission request of the arm motion data Da in step S102 is once. Da may be repeatedly generated and transmitted.

[When there are multiple wrist-worn terminals]
Next, a supplementary description will be given of a case where there are a plurality of arm-mounted terminals 1 (that is, a case where 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, the arm-mounted terminal 1 </ b> A and the arm-mounted terminal 1 </ b> B receive the arm motion data Da including the terminal ID unique to the terminal when the request signal for the arm motion data Da is received from 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 motion data Da received from the arm-mounted terminal 1A, and receives it from the arm-mounted terminal 1B. Based on the arm motion data Da, it is determined whether or not the wearer of the arm-mounted terminal 1B is a driver. When the navigation device 2 determines that the wearer of any of the arm-worn terminals 1A and 1B is a driver, the navigation device 2 stores the terminal ID of the arm-worn terminal 1 corresponding to the wearer determined to be the driver. To remember.

  As described above, the navigation device 2 can be used by the wearer of each arm-worn terminal 1 based on the arm motion data Da of each arm-worn terminal 1 even when a plurality of arm-worn terminals 1 are present in the vehicle. It is determined whether or not is a driver. As a result, the navigation device 2 can accurately estimate the driver even when the 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 uses the communication unit 27 to determine the acceleration and angular velocity indicating the movement of the passenger's arm from the arm-mounted terminal 1 worn by the vehicle passenger. The arm movement data Da including the time-series measurement data is received. And the control part 21 of the navigation apparatus 2 estimates whether the said passenger is a driver of a vehicle based on the passenger's arm motion data Da which the communication part 27 received. 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 a driving motion. Therefore, the navigation apparatus 2 can suitably estimate whether or not the passenger wearing the arm-mounted terminal 1 is a driver.

[Modification]
Hereinafter, modified examples suitable for the above-described embodiments will be described. The following modifications may be applied in any combination to the above-described embodiments.

(Modification 1)
The navigation device 2 may further 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 performing the driving operation is associated with each driving operation. For example, in the case of the operation of rotating the steering wheel, the vehicle's right / left turn and lane change are associated as the assumed driving state, and in the case of the operation of operating the shift lever, as the assumed driving state, The forward and backward movements of the vehicle are associated with each other, and the right / left turn and the lane change of the vehicle are associated with the operation of operating the blinker 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 for utilizing the table of FIG. 4 will be described. Similarly to the embodiment, the control unit 21 of the navigation device 2 detects any driving operation peculiar to the driver based on the time series measurement data of acceleration and angular velocity included in the arm motion data Da, and further measures the acceleration and angular velocity. Recognize the running state of the vehicle. Next, the control unit 21 refers to the table in FIG. 4, and when the combination of the detected driving action and the recognized driving state of the vehicle is recorded in the table shown in FIG. Presumes that the wearer is a driver. In other words, even when the controller 21 detects any driving operation specific to the driver based on the time-series measurement data of acceleration and angular velocity, the control unit 21 detects the driving operation detected by the recognized driving state of the vehicle and FIG. If it is not related in the table, it is considered that the driving operation is erroneously detected.

  Here, a specific example of the traveling 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 according to a change in the traveling direction of the vehicle, a vehicle speed sensor or an acceleration sensor for detecting forward and 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 takes into account the time lag between the time when the driving operation is detected and the time when the driving operation is actually performed, and outputs the output of the positioning unit 22 for a predetermined time in a buffer such as the storage unit 26. You may memorize | store and you may recognize the driving | running | working state of the vehicle at the time of driving operation based on the output of the positioning part 22 for the predetermined time, when driving operation is detected.

  In another example, the control unit 21 obtains information on the steering angle of the steering wheel, position information on the shift lever, information on the blinker position, and the like from the control unit (ECU) of the vehicle by the communication unit 27, thereby May be estimated.

  In addition, the combination of the driving operation used for the driver estimation process and the running state of the vehicle at the time of the driving operation is not limited to the combination shown in FIG. For example, when the navigation device 2 receives the arm motion data Da from the arm-mounted terminal 1 and can perform the driver estimation process even when the vehicle engine is off, the navigation device 2 performs the engine start operation while the vehicle is stopped. If detected, it may be estimated that the wearer of the wrist-worn terminal 1 is a 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 operation data Da, and determines that the vehicle has stopped when these operations are detected. When it is determined based on the output of the unit 22, it is estimated that the wearer of the arm-worn terminal 1 is a driver. Similarly, the navigation device 2 may estimate that the wearer of the arm-worn terminal 1 is a driver when detecting the boarding operation of the wearer-equipped terminal 1 on the vehicle. 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 seat belt based on the received arm operation data Da, the wearer of the arm-mounted terminal 1 is a driver. Presume that there is.

(Modification 2)
When the wrist-worn 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-mounted 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 uses the driver motion data Dtmp related to the acceleration for each driving motion measured in advance. Etc. and the received time-series measurement data of the acceleration sensor 13, a driver estimation process is performed.

(Modification 3)
The navigation device 2 may execute the driver estimation process again even after the driver has been authenticated, when a predetermined condition for determining that the driver may have been changed is satisfied.

  For example, the navigation device 2 determines that the driver may have changed when the opening / closing of the door of the vehicle is detected. In this case, the navigation device 2 detects the opening / closing of the door of the vehicle by receiving a signal related to the opening / closing of the door from the control unit (ECU) of the vehicle using a protocol such as CAN. When the opening / closing of the door of the vehicle is detected, the navigation device 2 receives the arm motion data Da by transmitting a request signal for the arm motion data Da to the arm-mounted terminal 1. When the navigation device 2 determines in step S106 in FIG. 2 that the wearer of the arm-worn terminal 1 having a terminal ID different from the terminal ID previously recorded in step S107 is a driver, the arm worn by the driver. The terminal ID record of the wearable terminal 1 is rewritten. Note that in step S106, the navigation device 2 cannot determine that the wearer of the arm-worn terminal 1 with the terminal ID previously recorded in step S107 is the driver, the terminal ID previously recorded in step S107. It may be erased.

  In another example, the navigation device 2 detects that the vehicle has started after stopping at a parking lot (including a highway service area and a parking area) 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 the present modification, the navigation device 2 uses the driver after replacement even when the driver is switched after the engine switch is turned on and before the engine switch is turned off again. Can be recognized at any time. The control unit 21 is an example of the “door opening / closing detection unit” in the present invention.

(Modification 4)
The navigation device 2 may receive the arm movement data Da or the like via a communication unit (not shown) (also referred to as “vehicle communication unit”) under the control of the control unit of the vehicle. In this case, the arm-mounted 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 transmits a transmission request for the arm motion data Da received from the navigation device 2 to the arm. The arm movement data Da received from the arm wearing type terminal 1 is transferred to the wearing type terminal 1 or transferred to the navigation device 2.

(Modification 5)
In the example of FIG. 3, the arm-mounted terminal 1 transmits the arm motion data Da in step S <b> 104 based on the transmission request for the arm motion data Da from the navigation device 2. Instead of this, the arm-mounted terminal 1 recognizes that the wearer has entered the vehicle based on communication with the control unit of the vehicle or based on an output of a sensor (not shown) or the like. May be generated and the arm motion data Da may be transmitted to the navigation device 2.

(Modification 6)
The control unit (ECU) of the vehicle 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 the arm operation data Da and the like with the arm-mounted terminal 1 by the vehicle communication unit described in the modified example 4, and also provides the driver operation data Dtmp and the like necessary for the driver estimation process. It memorize | stores in the memory | storage part which is not shown in figure. And the control part of a vehicle performs the process of step S101-S102 of FIG. 2, and step S105-S107. In this case, the vehicle communication unit is an example of the “reception unit” in the present invention, and the control unit of the vehicle is an example of the “estimation unit” and the “computer” that executes the program in the present invention.

(Modification 7)
The driver estimation system may be configured by 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 illustrating a driver estimation process procedure when the wrist-worn terminal 1 executes the process of the navigation device 2 according to the embodiment.

  First, the arm-worn terminal 1 determines whether or not the wearer has boarded (step S201). For example, when the wrist-mounted terminal 1 receives predetermined information from the vehicle control unit such as that the engine switch is turned on or the door is opened or closed, or when a predetermined user input is detected. For example, it is determined that the wearer has boarded. When the arm-worn terminal 1 detects that the wearer has boarded (step S201; Yes), the arm motion is measured by the acceleration sensor 13 and the gyro sensor 14 (step S202). Then, similarly to step S106 of FIG. 3, the wrist-worn terminal 1 refers to the driver operation data Dtmp stored in the storage unit 15 and determines whether or not the wearer can be estimated as a driver (step S203). If the wearer can estimate that the wearer is a driver (step S203; Yes), the arm-worn terminal 1 shifts to a mode on the assumption that the wearer is a driver (step S204). In this case, the wrist-worn terminal 1 outputs, for example, guidance or a warning for assisting driving.

(Modification 8)
The wrist-worn terminal 1 determines whether or not the wearer of its own terminal is a driver instead of the navigation device 2, and if it is determined that the wearer is a driver, the terminal ID of the own terminal is displayed in the navigation device. 2 may be transmitted.

  In this case, similarly to the modified example 7, the arm-mounted terminal 1 estimates whether or not the wearer is a driver, and when it is estimated that the wearer is a driver, information on the estimation result together with the terminal ID It transmits to the navigation apparatus 2. When the navigation apparatus 2 receives the information of the above estimation result from the arm-mounted terminal 1, the navigation apparatus 2 refers to the information and regards the wearer of the arm-mounted terminal 1 as a driver, and the arm-mounted terminal 1 Are stored in the storage unit 26.

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

  In Modifications 7 and 8, the arm-mounted terminal 1 is an example of a “driver estimation device” in the present invention, and the control unit 11 is an example of a “detection unit” and an “estimation unit” in the present invention. .

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

DESCRIPTION OF SYMBOLS 1 Arm wearing type terminal 2 Navigation apparatus 11, 21 Control part 12, 27 Communication part 13 Acceleration sensor 14 Gyro sensor 15, 26 Storage part 23 Display part 24 Sound output part 25 Input part

Claims (10)

A receiving unit that is worn by a passenger of the vehicle and that receives data on the movement of the arm from a terminal that detects the movement of the arm of the passenger;
An estimation unit that estimates whether or not the occupant is a driver of the vehicle based on data on the movement of the arm;
A driver estimation device comprising: It further includes an acquisition unit that acquires driving operation data that is data relating to the movement of the arm at the time of driving,
The driver estimation apparatus according to claim 1, wherein the estimation unit estimates a driver based on the driving operation data and data on the movement of the arm.   The said estimation part estimates whether the said passenger is a driver of the said vehicle based on the data regarding the motion of the said arm, and the driving | running | working state of the said vehicle. Driver estimation device.   The driver estimation device according to claim 1, wherein the estimation unit estimates a driver of the vehicle when the vehicle stops for a predetermined time. A door opening / closing detector for detecting opening / closing of the vehicle door;
5. The driver estimation device according to claim 1, wherein when the door of the vehicle is closed, the estimation unit estimates the driver of the vehicle. A receiving unit that receives a result of the estimation from a terminal that is worn by a vehicle occupant and detects whether the occupant is a driver of the vehicle by detecting movement of the arm of the occupant;
Based on the estimation result, it is estimated whether the occupant is a driver of the vehicle, or the estimation result, and the data relating to the movement of the arm received by the receiving unit together with the estimation result, An estimation unit for estimating whether or not the passenger is a driver of the vehicle,
A driver estimation device comprising: A detection unit worn by a passenger of the vehicle and detecting movement of the arm of the passenger;
An estimation unit that estimates whether the passenger is a driver of the vehicle based on the movement of the arm of the passenger detected by the detection unit;
A driver estimation device comprising: A control method executed by the driver estimation device,
A receiving step for receiving data relating to the movement of the arm from a terminal worn by a passenger of the vehicle and detecting the movement of the arm of the passenger;
An estimation step of estimating whether the occupant is a driver of the vehicle based on data relating to the movement of the arm;
A control method characterized by comprising: A program executed by a computer,
A receiving unit that is worn by a passenger of the vehicle and that receives data on the movement of the arm from a terminal that detects the movement of the arm of the passenger;
A program that causes the computer to function as an estimation unit that estimates whether the occupant is a driver of the vehicle based on data relating to the movement of the arm.   A storage medium storing the program according to claim 9.

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