JP2016222136A - Driver estimation device, control method, program and storage medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a driver estimation device that can estimate a driver as needed.SOLUTION: A communication part 27 of a navigation device 2 receives heart rate data Dh including time-sequence measurement data of a heart rate of an occupant from a wearable terminal 1 worn by the vehicle occupant. A control part 21 of the navigation device 2 estimates if the occupant is a vehicle driver based on the occupant heart rate data Dh received by the communication part 27.SELECTED DRAWING: Figure 3

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 Literature 1 performs driver authentication only at the start of driving. Therefore, in the technique of Patent Document 1, when the driver is changed in the middle of the route, the current driver cannot be correctly specified.

  The present invention has been made to solve the above-described problems, and has as its main object to provide a driver estimation device capable of estimating a driver as needed.

  The invention described in claim is a driver estimation device, which is worn by a vehicle occupant and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse of the occupant, and An estimation unit that estimates whether or not the occupant is a driver of the vehicle based on data relating to a heartbeat or a pulse.

  The invention described in claim is a wearable driver estimation device, a boarding detection unit that detects that a wearer of the driver estimation device has boarded the vehicle, and that the wearer has boarded the vehicle. When the boarding detection unit detects, a measurement unit that measures a heart rate or a pulse of the wearer and generates data related to the heart rate or a pulse, and the passenger is a driver of the vehicle based on the data about the heart rate or the pulse And an estimation unit for estimating whether or not.

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

  The invention described in claim is a program executed by a computer, which is worn by a passenger of a vehicle and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse of the passenger. The computer is caused to function as an estimation unit that estimates whether or not the occupant is a driver of the vehicle based on data relating to the heartbeat or pulse.

It is a schematic diagram of a driver estimation system. It is an example of a driver characteristic map. 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 wearable terminals exist in a car. 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 includes a receiving unit that is worn by a passenger of a vehicle and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse of the passenger. An estimation unit that estimates whether the occupant is a driver of the vehicle based on data relating to the heartbeat or pulse.

  The driver estimation device includes a reception unit and an estimation unit. A receiving part receives the data regarding a passenger's heartbeat or a pulse from the terminal with which the passenger of a vehicle wears. The estimation unit estimates whether or not the occupant is a driver of the vehicle based on the data related to the heartbeat or pulse of the occupant received by the reception unit. In this aspect, the driver estimation device receives data relating to a heartbeat or a pulse from a terminal worn by the passenger, and estimates whether the passenger is a driver based on the data. In general, there is a difference in heartbeat or pulse behavior between a driver of a vehicle and an occupant who does not drive because the tension and stress state due to safety confirmation and the like are different. Therefore, the driver estimation apparatus can estimate at any time whether or not the passenger wearing the terminal is a driver according to this aspect.

  In one aspect of the driver estimation device, the data relating to the heartbeat or pulse is time series data of the occupant's heartbeat or pulse, and the estimation unit is the boarding specified from the time series data of the heartbeat or pulse. It is estimated whether or not the occupant is a driver of the vehicle based on the tendency of the person's heartbeat or pulse to change. In general, the tension and stress state due to safety confirmation and the like are different between the driver of the vehicle and the occupant who does not drive, so that a difference occurs in the tendency of heartbeat or pulse time-series change. Therefore, the driver estimation device can suitably estimate whether or not the passenger wearing the terminal is a driver.

  In another aspect of the driver estimation device, the reception unit receives data relating to the heartbeat or pulse from the terminal worn by each of a plurality of passengers, and the estimation unit receives the data received for each terminal. It is estimated whether each of the plurality of passengers is a driver of the vehicle based on data relating to a heartbeat or a pulse. As described above, the driver estimation device can estimate a driver based on heartbeat or pulse data transmitted from each terminal even when a plurality of passengers exist in the vehicle.

  In another aspect of the driver estimation device, the estimator may determine whether the occupant is based on the data related to the heartbeat or the pulse and at least one of the traveling state of the vehicle or the traveling road type of the vehicle. Estimate whether you are a vehicle driver. In general, the heartbeat or pulse behavior of a driver varies depending on the vehicle running state or / and the type of road on which the vehicle is traveling. Therefore, according to this aspect, the driver estimation device can estimate whether or not the passenger is a driver more accurately.

  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 aspect of the driver estimation device, when the estimation unit estimates that the occupant is a driver of the vehicle based on the data on the heartbeat or pulse, the data on the heartbeat or pulse is stored in the storage unit. And when the receiving unit receives the data related to the heartbeat or pulse, if the data related to the heartbeat or pulse accumulated in the storage unit exists, the estimation unit receives the heartbeat received by the receiving unit Alternatively, it is estimated whether or not the occupant is a driver of the vehicle based on data relating to the pulse and data relating to the heartbeat or pulse accumulated in the storage unit. According to this aspect, when the same driver repeatedly rides on the vehicle, it is possible to speed up the driver estimation process and improve the estimation accuracy.

  In another embodiment according to the present invention, the wearable driver estimation device includes a boarding detection unit that detects that a wearer of the driver estimation device has boarded the vehicle, and that the wearer has boarded the vehicle. When the boarding detection unit detects, a measurement unit that measures a heart rate or a pulse of the wearer and generates data related to the heart rate or a pulse, and the passenger is a driver of the vehicle based on the data about the heart rate or the pulse And an estimation unit for estimating whether or not. According to this aspect, the driver estimation device can estimate at any time whether or not the wearer is a driver by measuring a heartbeat or a pulse.

  In still another embodiment of the present invention, the control method executed by the driver estimation device receives data related to the heartbeat or pulse from a terminal worn by a vehicle occupant and measuring the heartbeat or pulse of the occupant. A receiving step, and an estimating step of estimating whether the occupant is a driver of the vehicle based on the data relating to the heartbeat or pulse. By executing this control method, the driver estimation device can estimate at any time whether or not the passenger wearing the terminal is a driver.

  In yet another embodiment according to the present invention, a program executed by a computer is a receiving unit that is worn by a vehicle occupant and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse of the occupant. And the computer is caused to function as an estimation unit that estimates whether the occupant is a driver of the vehicle based on the data relating to the heartbeat or pulse. By executing this program, the computer can estimate at any time whether or not the passenger wearing the terminal is a driver. 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 a wearable terminal 1 and a navigation device 2 worn by a passenger of a vehicle such as a driver (driver). The wearable terminal 1 and the navigation device 2 perform data communication by wireless or wired (wireless in FIG. 1).

  Wearable terminal 1 is a wearable terminal, and transmits data related to the wearer's heartbeat (also referred to as “heartbeat data Dh”) to navigation device 2 based on a request from navigation device 2. The wearable 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. In the present embodiment, the navigation device 2 determines whether or not the wearer of the wearable terminal 1 is a driver based on the heartbeat data Dh received from the wearable terminal 1 (also referred to as “driver estimation process”). )I do.

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

  As shown in FIG. 1, the wearable terminal 1 mainly includes a control unit 11, a communication unit 12, a heart rate sensor 13, and a storage unit 14. The communication unit 12 performs data communication with the navigation device 2 based on the control of the control unit 11. Based on the control of the control unit 11, the heart rate sensor 13 measures the heart rate of the wearer of the wearable terminal 1 and supplies the measurement result to the control unit 11. The storage unit 14 stores a program for controlling the operation of the wearable terminal 1 and holds information necessary for the operation of the wearable terminal 1. Further, the storage unit 14 stores identification information (also referred to as “terminal ID”) unique to the wearable terminal 1.

  The control unit 11 of the wearable terminal 1 includes a CPU (not shown) and the like, and performs various controls on each component in the wearable terminal 1. In the present embodiment, when the communication unit 12 receives a transmission request for the heart rate data Dh from the navigation device 2, the control unit 11 uses time series data (“time” of the heart rate measured by the heart rate sensor 13 over a predetermined time width. And the terminal ID stored in the storage unit 14 are transmitted to the navigation device 2 by the communication unit 12 as heart rate data Dh. The above “time-series measurement data” is data that can specify the measurement time of each heart rate measured in time series, and shows, for example, the measured heart rate and the time at which the heart rate was measured. Time series data associated with time information.

  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. Output data indicating the measurement result of the measurement unit 22 is stored in the storage unit 26. 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. The communication unit 27 transmits a request signal for the heart rate data Dh to the wearable terminal 1 or receives the heart rate data Dh transmitted from the wearable terminal 1 based on the control of the control unit 21. 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 stores a map (also referred to as “driver characteristic map Mp”) in which a change characteristic of the heart rate of the driver is recorded for each combination of the driving state of the vehicle and the type of road on which the vehicle is driving. Further, based on the control of the control unit 21, the storage unit 26 stores the output data of the measurement unit 22 in association with the measurement time, or stores the heart rate data Dh received by the communication unit 27.

  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 receiving the heart rate data Dh from the wearable terminal 1, the control unit 21 is based on the time series measurement data included in the heart rate data Dh and the driver characteristic map Mp, so that the wearer of the wearable terminal 1 is a driver. It is determined whether or not there is. Then, when it is determined that the wearer of the wearable terminal 1 is a driver, the control unit 21 stores the terminal ID included in the received heartbeat data Dh in the storage unit 26 as the terminal ID of the wearable terminal 1 worn by the driver. To do. Thereafter, for example, the control unit 21 transmits a control signal instructing execution of a predetermined operation for supporting the driving of the driver to the wearable 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, the control unit 21 changes the heart rate of the driver recognized by referring to the driver characteristic map Mp as the time series change of the heart rate of the wearer 1 wearing the wearable terminal 1 indicated by the time series measurement data of the heart rate data Dh. If it matches the above characteristics, it is estimated that the wearer is a driver. In this case, the control unit 21 accurately refers to the characteristics of the heart rate change of the driver described above by referring to the driver characteristic map Mp from the traveling state of the vehicle at the time of heart rate measurement and the road type on which the vehicle is traveling. recognize.

  Hereinafter, first, the driver characteristic map Mp used for the driver estimation process will be described. FIG. 2 shows an example of the driver characteristic map Mp.

  The driver characteristic map Mp shown in FIG. 2 shows the heart rate of the driver for each combination of the running state of the vehicle at the time of heart rate measurement and the road type (traveling road type) on which the vehicle is running at the time of heart rate measurement. Shows the characteristics of the change. The combination of the driving state and the road type defined in the driver characteristic map Mp is a combination in which a difference in heart rate changes occurs between the driver and a passenger other than the driver.

  In the example of FIG. 2, the running state of the vehicle is “stop” corresponding to the state where the vehicle is stopped, “acceleration” corresponding to the state where the vehicle is accelerating, and the vehicle is running at a substantially constant speed. Four states are defined: “constant speed” corresponding to “change lane” corresponding to a state where the vehicle has changed lane. In the example of FIG. 2, three types of “general road”, “highway”, and “parking lot” are defined as the types of roads on which the vehicle is traveling. Then, for each combination of the driving state and the road type of these vehicles, the change characteristic of the heart rate assumed in the case of being a driver of the vehicle (in FIG. 2, any one of “rising”, “decreasing”, “invariant”) ) Is recorded. For example, in the example of FIG. 2, when the driving state is “stop”, the heart rate is reduced regardless of the road type, and when the driving state is “acceleration”, It is shown that the heart rate increases regardless of the road type. On the other hand, when the driving state is “constant speed”, the heart rate does not change or decreases when the road type is “general road” or “highway”, and the heart rate does not change when the road type is “parking lot”. It has been shown to be unchanged or rising. Further, when the driving state is “change lane”, the heart rate increases when the road type is “general road” or “highway”.

  2 is merely an example for explaining the present invention, and the driver characteristic map Mp to which the present invention can be applied is not limited to this. For example, the road type defined in the driver characteristic map Mp is not limited to the classification of “general road”, “highway”, and “parking lot”. For example, general roads may be further classified into national roads and narrow streets. In another example, the road type specified in the driver characteristic map Mp is a place where a difference in heart rate changes between the driver and a passenger other than the driver, such as a point immediately before the intersection, a point immediately after passing the intersection, or a right turn lane at the intersection. You may set suitably for every. Similarly, the driving state defined in the driver characteristic map Mp is not limited to the example of FIG. 2, and may include “right turn” indicating a right turn state, “left turn” indicating a left turn state, and the like. As described above, the combination of the road type and the running state defined in the driver characteristic map Mp is set based on experiments or the like so as to be a combination in which a difference in heart rate changes occurs between the driver and a passenger other than the driver, and The characteristics of changes in the heart rate of the driver for each combination are also set based on experiments and the like.

  Next, a driver estimation method using the driver characteristic map Mp will be described.

  Based on the time information of the time-series measurement data included in the heart rate data Dh, the control unit 21 recognizes the running state of the vehicle and the type of road on which the heart rate is measured, and refers to the driver characteristic map Mp to Understand the change characteristics of the heart rate of the driver when measuring the number. Then, the control unit 21 matches the heart rate change characteristic of the heart rate indicated by the time series measurement data of the heart rate included in the heart rate data Dh received from the wearable terminal 1 with the change characteristic of the heart rate of the driver ascertained from the driver characteristic map Mp. In this case, the terminal ID of the wearable terminal 1 that is the transmission source of the heart rate data Dh is stored in the storage unit 26 as the terminal ID of the terminal on which the driver is mounted. The control unit 21 recognizes the traveling state of the vehicle based on the output data of the measurement unit 22 such as an acceleration sensor or a GPS receiver stored in the storage unit 26 and stores the traveling road type described above. Recognition is performed based on the locus of the traveling position of the vehicle indicated by the output data of the measurement unit 22 such as a GPS receiver stored in the unit 26, road data stored in the storage unit 26, and the like.

  In general, a passenger who does not drive with a driver of a vehicle has different tension and stress states due to safety confirmation and the like, and thus a difference occurs in time-series changes in heart rate when the vehicle is running. In consideration of the above, the navigation device 2 according to the present embodiment uses the driver characteristic map Mp in which the characteristics of changes in the heart rate of the driver are recorded for each combination of driving state and road type in which the change in heart rate peculiar to the driver occurs. Store in advance. Thereby, the navigation apparatus 2 can determine appropriately whether the wearer of the wearable terminal 1 of the transmission source of the heart rate data Dh is a driver based on the heart rate data Dh received from the wearable terminal 1.

[Processing flow]
FIG. 3 is a flowchart illustrating an example of the procedure of the driver estimation process.

  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 heart rate data Dh to the wearable terminal 1 (step S102). In this case, the navigation device 2 may transmit the above-described request signal unspecified by broadcasting, or may transmit the wearable terminal 1 to the wearable terminal 1 when there is already a communication established.

  When the wearable terminal 1 receives the request signal for the heart rate data Dh from the navigation device 2, the wearable terminal 1 measures the heart rate with the heart rate sensor 13 (step S103). The wearable terminal 1 transmits to the navigation device 2 heart rate data Dh including time series measurement data that is time series data of the heart rate measured by the heart rate sensor 13 and the terminal ID of the wearable terminal 1 (step S104). ). And the navigation apparatus 2 receives the heart rate data Dh (step S105).

  Next, the navigation device 2 recognizes the change tendency of the heart rate based on the time-series measurement data of the heart rate included in the received heart rate data Dh (step S106). Further, the navigation device 2 recognizes the traveling state of the vehicle and the traveling road type at the time when the heart rate is measured (step S107).

  Next, the navigation device 2 determines whether or not the wearer of the wearable terminal 1 can be estimated to be a driver (step S108). In this case, the navigation device 2 recognizes the change characteristic of the heart rate of the driver corresponding to the traveling state and the type of the traveling road recognized in step S107 by referring to the driver characteristic map Mp, and the heart rate specified in step S106. It is determined whether or not it agrees with the change tendency.

  When the navigation device 2 determines that the wearer of the wearable terminal 1 can be estimated as a driver (step S108; Yes), the wearer of the wearable terminal 1 that is the transmission source of the heart rate data Dh is a driver. The terminal ID included in the heartbeat data Dh is stored in the storage unit 26 (step S109). On the other hand, when the navigation device 2 determines that the wearer of the wearable terminal 1 cannot be estimated to be a driver based on the measured trend change of the heart rate (step S108; No), the process returns to step S102 again. Data Dh is received, and it is determined whether or not the transmission source of heart rate data Dh is a driver wearing terminal. Note that the navigation device 2 determines that the wearer 1 is not a driver when the wearer 1 is not estimated to be a driver in step S108 a predetermined number of times or more, and executes step S109. The processing of the flowchart may be terminated without any problem.

  In the flowchart of FIG. 3, the wearable terminal 1 transmits the heart rate data Dh to the navigation device 2 in step S103 every time there is a transmission request for the heart rate data Dh in step S102. Instead, the wearable terminal 1 repeatedly generates the heart rate data Dh after receiving a request from the navigation device 2 that the heart rate data Dh is unnecessary after the transmission request of the heart rate data Dh in step S102 is once. You may send it.

[When there are multiple wearable devices]
Next, a supplementary description will be given of a case where there are a plurality of wearable terminals 1 in the vehicle (that is, a case where a plurality of passengers wear the wearable terminals 1). FIG. 4 shows a schematic diagram of a driver estimation system when a plurality of wearable terminals 1 (1A, 1B,...) Are present in the same vehicle together with the navigation device 2.

  In the case of FIG. 4, wearable terminal 1 </ b> A and wearable terminal 1 </ b> B transmit heart rate data Dh including a terminal ID unique to the terminal to navigation device 2 when a request signal for heart rate data Dh is received from navigation device 2. Then, the navigation device 2 determines whether or not the wearer of the wearable terminal 1A is a driver based on the heartbeat data Dh received from the wearable terminal 1A, and based on the heartbeat data Dh received from the wearable terminal 1B. It is determined whether or not the wearer of terminal 1B is a driver. Then, when it is determined that the wearer of any of the wearable terminals 1A and 1B is a driver, the navigation device 2 stores the terminal ID of the wearable terminal 1 corresponding to the wearer determined to be a driver in the storage unit 26.

  As described above, the navigation device 2 determines whether or not the wearer of each wearable terminal 1 is a driver based on the heartbeat data Dh of each wearable terminal 1 even when a plurality of wearable terminals 1 are present in the vehicle. . As a result, the navigation device 2 can accurately estimate the driver even when a plurality of wearable 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 detect the heart rate including time series measurement data of the passenger's heart rate from the wearable terminal 1 worn by the vehicle passenger. Data Dh is received. Then, based on the occupant's heartbeat data Dh received by the communication unit 27, the control unit 21 estimates whether the occupant is a vehicle driver. In general, there is a difference in heartbeat behavior between a driver of a vehicle and an occupant who does not drive because the tension and stress state due to safety confirmation and the like are different. Therefore, the navigation apparatus 2 can suitably estimate whether or not the passenger wearing the wearable 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 present invention is not limited to the driver estimation process using the driver characteristic map Mp, but by using various known statistical methods such as pattern recognition (including modeling), etc., regardless of the driver characteristic map Mp. Driver estimation may be performed.

  For example, the navigation device 2 determines a predetermined feature space by executing known learning on the driver and the time series data of the heart rate of a passenger other than the driver, and each feature amount (feature vector). Is prescribed. Then, the navigation device 2 analyzes the time series measurement data included in the heartbeat data Dh received from the wearable terminal 1 to extract feature amounts, and stores the feature amounts of the driver and passengers other than the driver stored in advance. To determine whether the person whose heart rate is to be measured is a driver.

  In this case, the navigation device 2 performs a driver estimation process without using the driver characteristic map Mp based on the traveling road type and the traveling state before the driving is started, and authenticates the driver even after the vehicle starts traveling. If this is not possible, the driver estimation process of this embodiment based on the type of traveling road and the traveling state may be performed. That is, when a plurality of driver estimation processes can be executed, the navigation device 2 may switch the driver estimation process to be executed according to the driving situation.

(Modification 2)
When performing driver estimation processing using a statistical method or the like based on the first modification, the navigation apparatus 2 accumulates time-series measurement data of heart rate included in the heart-rate data Dh used in the driver estimation processing, and the time series Measurement data may be used as a sample.

  In this case, when the number of times the driver's heart rate time-series measurement data is accumulated is less than the predetermined number, the navigation device 2 is based on the driver's general heart rate time-series data stored in the storage unit 26 in advance. The driver estimation process is performed. When the navigation device 2 estimates that the driver is a driver by the driver estimation process, the time series measurement data of the heart rate data Dh used for the estimation is stored in the storage unit 26 as a sample of the heart rate of the driver. For example, when the heart rate sample of the driver is accumulated more than a predetermined number of times, the navigation device 2 uses the accumulated sample to determine whether or not the heart rate measurement target person is a driver. In this case, for example, the navigation device 2 updates a template or the like representing the characteristics of the heart rate of the driver from the accumulated heart rate samples of the driver, and the time series measurement data included in the received heart rate data Dh. It is determined whether or not the characteristics of the two substantially match.

  In general, the change in heart rate varies depending on the type (category) of the driver such as a beginner driver, an experienced driver, or an elderly person. Further, the navigation device 2 is often used repeatedly by the same driver. Therefore, as described above, the navigation device 2 uses the time-series measurement data of the heart rate actually measured and accumulated for the driver estimation process, thereby more accurately estimating the driver and the time of the driver estimation process. Can be shortened.

(Modification 3)
The navigation device 2 executes the driver estimation process with reference to the driver characteristic map Mp based on the running state of the vehicle at the time of heart rate measurement and the traveling road type. Instead of this, the navigation device 2 may perform the driver estimation process based on only one of the traveling state of the vehicle at the time of measuring the heart rate and the traveling road type.

  In this case, for example, in the driver characteristic map Mp, characteristics of changes in the heart rate of the driver are defined for one of the driving state and the road type. In the driver estimation process, the navigation device 2 recognizes the state or type at the time of measuring the heart rate of either the running state or the road type specified in the driver characteristic map Mp, and refers to the driver characteristic map Mp. The driver's heart rate change characteristics are recognized. Then, the navigation device 2 compares the heart rate change characteristic of the recognized driver with the time series measurement data of the heart rate included in the heart rate data Dh, thereby determining whether or not the heart rate measurement target person is a driver. To determine.

(Modification 4)
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. And when opening / closing of the door of a vehicle is detected, the navigation apparatus 2 receives the heart rate data Dh by transmitting the request signal of the heart rate data Dh to the wearable terminal 1, and the driver is based on steps S106 to S108 in FIG. Authenticate. Then, when the navigation device 2 determines in step S108 that the wearer of the wearable terminal 1 having a terminal ID different from the terminal ID previously recorded in step S109 is a driver, the terminal ID of the wearable terminal 1 worn by the driver. Rewrite the record. In step S108, the navigation device 2 deletes the terminal ID previously recorded in step S109 if the wearer of the wearable terminal 1 having the terminal ID previously recorded in step S109 cannot be estimated as the driver. May be.

  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 5)
The navigation device 2 may receive the heartbeat data Dh and the like via a communication unit (not shown) (also referred to as “vehicle communication unit”) that is under the control of the control unit of the vehicle. In this case, the wearable 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 sends a transmission request for the heart rate data Dh received from the navigation device 2 to the wearable terminal 1. The heart rate data Dh received from the wearable terminal 1 is transferred to the navigation device 2.

(Modification 6)
In the example of FIG. 3, the wearable terminal 1 transmits the heart rate data Dh in step S <b> 104 based on the transmission request for the heart rate data Dh from the navigation device 2. Instead, the wearable terminal 1 generates the heart rate data Dh when it recognizes that the wearer has entered the vehicle based on communication with the control unit of the vehicle or based on the output of a sensor (not shown). The heart rate data Dh may be transmitted to the navigation device 2.

(Modification 7)
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 heart rate data Dh and the like with the wearable terminal 1 by the vehicle communication unit described in the modified example 5, and stores a driver characteristic map Mp and the like necessary for the driver estimation process, which are not illustrated. Store in the department. And the control part of a vehicle performs the process of step S101-S102 of FIG. 3, and step S105-S109. 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 8)
The wearable terminal 1 may execute part or all of the processing of the navigation device 2. For example, the wearable terminal 1 determines whether or not the wearer of its own terminal is a driver instead of the navigation device 2, and determines that the wearer is a driver. 2 may be transmitted. In another example, the driver estimation system may be configured only from the wearable terminal 1, and the wearable terminal 1 may execute the processing of the navigation device 2.

  FIG. 5 is an example of a flowchart illustrating the procedure of the driver estimation process when the wearable terminal 1 executes the process of the navigation device 2 of the embodiment.

  First, the wearable terminal 1 determines whether or not the wearing of the wearer is detected (step S201). For example, the wearable terminal 1 receives predetermined information such as an engine switch being turned on or a door being opened or closed from a vehicle control unit or when a predetermined user input is detected. It is determined that the wearer has boarded. And when the wearable terminal 1 detects a wearer's boarding (step S201; Yes), it measures a heart rate (step S202). The wearable terminal 1 recognizes the tendency of the heart rate change based on the time-series measurement data of the measured heart rate, similarly to step S106 of FIG. 3 (step S203).

  Further, the wearable terminal 1 recognizes the running state of the vehicle and the road type at the time of measuring the heart rate in order to refer to the driver characteristic map Mp (step S204). In this case, the wearable terminal 1 has a positioning unit such as an acceleration sensor and a GPS receiver (not shown), and may recognize the running state based on the output of the positioning unit. May be used to recognize the running state of the vehicle. Also, the wearable terminal 1 recognizes the road type on which the vehicle is traveling by receiving, from a server device (not shown), information on a map around the current position recognized by the output of a GPS receiver or the like.

  The wearable terminal 1 determines whether or not the wearer can be estimated as a driver, similarly to step S108 of FIG. 3 (step S205). If the wearer can be estimated as a driver (step S205; Yes), the wearable terminal 1 shifts to a mode based on the assumption that the wearer is a driver (step S206). In this case, the wearable terminal 1 outputs a predetermined warning or the like based on the measured heart rate, for example.

  Thus, the wearable terminal 1 can suitably execute the processing of the navigation device 2 of the embodiment. In this modification, the wearable terminal 1 is an example of a “driver estimation device” in the present invention, and the control unit 11 is an example of a “boarding detection unit” and an “estimation unit” in the present invention. Reference numeral 13 denotes an example of the “measurement 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.

(Modification 10)
Wearable terminal 1 may measure a pulse rate instead of measuring a heart rate, and may transmit time-series measurement data of the pulse rate to navigation device 2. In this case, similarly to the case of the heart rate, the navigation device 2 estimates whether or not the occupant is a driver of the vehicle based on the time-series measurement data of the pulse rate. As described above, the data received from the wearable terminal 1 by the navigation device 2 is not limited to data related to the heartbeat, and may be data related to the pulse. Since the tension and the stress state due to safety confirmation and the like differ between the driver of the vehicle and the occupant who does not drive, there is a difference in the behavior of the pulse as well as the heartbeat. Therefore, the navigation apparatus 2 can suitably estimate whether or not the occupant wearing the wearable terminal 1 is a driver also in this aspect.

DESCRIPTION OF SYMBOLS 1 Wearable terminal 2 Navigation apparatus 11, 21 Control part 12, 27 Communication part 13 Heart rate sensor 14, 26 Storage part 23 Display part 24 Sound output part 25 Input part

Claims (11)

A receiver that is worn by a passenger of the vehicle and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse of the passenger;
An estimation unit that estimates whether or not the occupant is a driver of the vehicle based on the data relating to the heartbeat or pulse;
A driver estimation device comprising: The data related to the heartbeat or pulse is time series data of the occupant's heartbeat or pulse,
The estimation unit estimates whether or not the occupant is a driver of the vehicle based on a tendency of change of the occupant's heartbeat or pulse specified from the time series data of the heartbeat or pulse. The driver estimation apparatus according to claim 1. The receiving unit receives data on the heartbeat or pulse from the terminal worn by each of a plurality of passengers,
The estimation unit estimates whether each of the plurality of passengers is a driver of the vehicle based on the heartbeat or pulse-related data received for each terminal. The driver estimation apparatus as described in.   The estimation unit estimates whether the occupant is a driver of the vehicle based on data relating to the heartbeat or pulse and at least one of a traveling state of the vehicle or a traveling road type of the vehicle. The driver estimation apparatus according to any one of claims 1 to 3, wherein   5. 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;
The driver estimation device according to claim 1, wherein the estimation unit estimates a driver of the vehicle when the door of the vehicle is closed. When the estimation unit estimates that the occupant is a driver of the vehicle based on the data on the heartbeat or pulse, the estimation unit accumulates data on the heartbeat or pulse in the storage unit,
When the receiving unit receives the data related to the heartbeat or pulse, the data related to the heartbeat or pulse received by the receiving unit when the data related to the heartbeat or pulse accumulated in the storage unit exists when the receiving unit receives the data related to the heartbeat or pulse. And whether or not the occupant is a driver of the vehicle based on the heartbeat or pulse-related data accumulated in the storage unit. The driver estimation apparatus described. A wearable driver estimation device,
A boarding detection unit for detecting that the wearer of the driver estimation device has boarded the vehicle;
When the boarding detection unit detects that the wearer has boarded a vehicle, the heart rate or pulse of the wearer is measured, and a measurement unit that generates data related to the heart rate or pulse;
An estimation unit that estimates whether or not the occupant is a driver of the vehicle based on the data relating to the heartbeat or pulse;
A driver estimation device comprising: A control method executed by the driver estimation device,
A receiving step for receiving data relating to the heartbeat or pulse from a terminal worn by a passenger of the vehicle and measuring the heartbeat or pulse of the passenger;
An estimation step of estimating whether the occupant is a driver of the vehicle based on the data relating to the heartbeat or pulse;
A control method characterized by comprising: A program executed by a computer,
A receiver that is worn by a passenger of the vehicle and receives data related to the heartbeat or pulse from a terminal that measures the heartbeat or pulse 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 heartbeat or pulse.   A storage medium storing the program according to claim 10.

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