JP6513586B2 - Attribution determination system, attribution determination apparatus, and attribution determination method - Google Patents

Description

  The present invention relates to an attribution determination system, an attribution determination apparatus, and an attribution determination method.

  In recent years, personal data generated by PCs, smartphones, IoT devices, etc. are increasing. In particular, in the healthcare field, many life log services that acquire and accumulate personal data daily are provided. In a system for operating such a service, a registrant registers personal data in the system after device authentication such as ID / password authentication.

  For example, Patent Document 1 describes a system using personal data. In the method described in Patent Document 1, the user authentication unit performs user authentication using the user ID, and the step count information acquisition unit generates personal data such as step count information of the user. Furthermore, it is described that the service usage restriction control unit restricts the service functions that can be used by the user based on personal data such as the user's step count information related to the user ID.

  Thus, in a system using personal data, user authentication and personal data generation are usually performed separately. Since personal data is managed by the user personally, it may happen that the user's own personal data can be replaced with personal data of another person. In a system that utilizes personal data within the scope of an individual's responsibility, there is no disadvantage even if the user registers unauthorized data using personal data by another person.

  However, for example, in a service that grants a privilege based on personal data, such as calculating a premium according to personal data accumulated daily, if the user permits unauthorized data to be registered, the service There is a risk of bankruptcy. Therefore, it is important to secure the attribution of personal data in order for both the individual user and the service provider to use personal data with peace of mind. In addition, it is also required that processing relating to the attribution of personal data be performed in a realistic time and effort.

  Therefore, the measuring device measures by integrating the sensor capable of acquiring the biosignal into the authentication device and the measuring device, and collating the signals acquired by the sensor incorporated in the authentication device and the sensor incorporated in the measuring device. A system has been conceived which determines whether the measured value is attributable to the person identified by the authentication device. As the above-mentioned sensor, for example, a pulse wave sensor can be used. In this case, the pulse wave sensor of the authentication device and the pulse wave sensor of the measurement device respectively acquire pulse waves as signals from the person to be authenticated and the person to be measured, and collate the two pulse waves to obtain the person to be authenticated and the subject It is assumed that the measurement person is the same, that is, the measured value measured from the subject by the measurement device belongs to the subject identified by the authentication device.

JP 2012-230503 A

  However, when the two pulse waves acquired by the pulse wave sensor of the authentication device and the pulse wave sensor of the measurement device are collated as described above, the time difference and the operation instructing the authentication device and the measurement device to start the operation of the pulse wave sensor The pulse wave caused by the same heart beat differs in time due to the reaction time difference of the sensor device from the start instruction to the pulse wave acquisition actually started and the propagation time difference due to the difference in pulse wave acquisition site May be accompanied by. Therefore, it is necessary to perform processing to synchronize these two pulse waves in time, which takes time, and it takes a long time to determine whether the subject and the subject are the same. May be required.

  In order to solve the above-described problems, a attribution determination apparatus according to the present invention is an attribution determination apparatus that mutually transmits and receives information to and from a measurement apparatus and an authentication apparatus via a communication network, and a subject measured by the measurement apparatus Health information of a measurer, a first signal which is biological information acquired by the measurement device, authentication information of a person to be authenticated extracted by the authentication device, and second information which is biological information acquired by the authentication device A communication unit for receiving the signal, a biometric authentication unit for authenticating the certifier based on the authentication information, and the start of acquisition of a portion of the first signal to be used in the matching process by the measuring device, An offset time that is controlled to simultaneously apply a synchronization pulse to the first signal and the second signal, and synchronizes the first signal and the second signal based on the synchronization pulse Whether the health information measured by the measuring device is the health information of the person to be authenticated based on the management unit and the first signal and the second signal synchronized by the offset time processing unit. And a verification processing unit that performs verification processing to determine whether or not.

  Further, the attribution determination method according to the present invention is a attribution determination method executed by the attribution determination apparatus which mutually transmits and receives information to and from the measurement apparatus and the authentication apparatus through the communication network, and is measured by the measurement apparatus. Health information of the subject, a first signal which is biological information acquired by the measurement device, authentication information of the subject extracted by the authentication device, and biometric information acquired by the authentication device A step of receiving the second signal, a step of authenticating the certifier based on the authentication information, and before the measurement device starts acquiring a portion of the first signal to be used in the collation process, Controlling to simultaneously apply a synchronization pulse to the first signal and the second signal, and synchronizing the first signal and the second signal based on the synchronization pulse. Performing a verification process of determining whether the health information is the health information of the person to be authenticated based on the first signal and the second signal synchronized with each other. It features.

  Further, a attribution determination system according to the present invention is a attribution determination system including a measurement apparatus, an authentication apparatus, and an attribution determination apparatus that mutually transmit and receive information via a communication network, and the measurement apparatus is a measurement target A measurement unit that measures health information including one or more of biological information and exercise information of the subject from a subject; and acquiring a first signal that is biological information of the subject from the subject An authentication information extraction unit for extracting authentication information for extracting authentication information for authenticating the person to be authenticated from the person to be authenticated; And a second signal acquisition unit for acquiring a second signal that is biometric information of the person to be authenticated, wherein the attribution determination apparatus includes the health information, the first signal, the authentication information, and the second information acquisition unit. A communication unit for receiving the second signal and A biometric authentication unit for authenticating a certifier based on the authentication information, and the first signal and the second signal before the measurement device starts acquiring a portion of the first signal used for collation processing. An offset time processing unit that synchronizes the first signal and the second signal based on the synchronization pulse, and performs synchronization by the offset time processing unit. A verification processing unit that performs verification processing to determine whether the health information measured by the measurement unit is health information of the person to be authenticated based on a first signal and the second signal It is characterized by

  According to the present invention, it is possible to quickly determine whether the health information measured from the subject is the health information of the subject.

It is a functional block diagram of the attribution determination system concerning this embodiment. It is a figure which shows the example of the time difference of a pressure pulse wave and a volume pulse wave. It is a figure for demonstrating a pulse wave propagation time difference. It is a figure which shows the example of a pulse wave propagation time difference and a dispersion | distribution value. It is a sequence diagram which shows the process of the attribution determination system shown in FIG. It is a flowchart which shows the detail of the feature point collation process shown in FIG.

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

<< Functional configuration of the attribution judgment system >>
First, the entire configuration of the present embodiment will be described with reference to FIG.

  As shown in FIG. 1, the attribution determination system 1 includes a measurement apparatus 200, an authentication apparatus 300, and an attribution determination apparatus 400. The measurement device 200, the authentication device 300, and the attribution determination device 400 are connected via a communication network, and transmit and receive information to and from each other.

<Functional configuration of measuring device>
The measurement apparatus 200 includes a communication unit 210, a measurement unit 220, and a first signal acquisition unit 230.

  The communication unit 210 transmits the information measured by the measurement unit 220, the information acquired by the first signal acquisition unit 230, and the like to the attribution determination apparatus 400 via the communication network.

  When an operation start instruction is input by the measurement subject, the measurement unit 220 measures the measurement target. The measurement target is arbitrary information belonging to an individual, and is, for example, health information including biological information of the measurement subject, exercise information which is a record of exercise performed by the measurement subject, and the like. Targets of measurement of biological information include types such as blood pressure, pulse, blood oxygen concentration, body temperature, bone conduction sound, weight, heart sound, airway sound and the like. Moreover, as a specific example of exercise information, the number of steps walked by the person to be measured and the like can be mentioned. In the present embodiment, the health information is described as a blood pressure value. In this case, the measurement device 200 is realized by a sphygmomanometer that measures blood pressure.

  In addition, when measuring the health information of the subject, the measuring unit 220 measures the health information, the measurement ID received from the attribution determination apparatus 400 via the authentication device 300, the measurement time at which the subject is measured, and the measurement target. It associates the measurement metadata including the type and the like, and outputs the measurement metadata to the communication unit 210. The measurement ID is an identifier for uniquely identifying the measurement by the measurement unit 220.

  The first signal acquisition unit 230 acquires a first signal which is biological information caused by the body of the subject. The first signal is a feature that changes with time, and includes types such as pressure pulse wave, pulse, blood oxygen concentration, body temperature, bone conduction sound, weight, heart sound, airway sound and the like. In the present embodiment, the first signal is described as a pressure pulse wave. In this case, the first signal acquisition unit 230 is realized by a pulse wave sensor.

  The pulse wave sensor that implements the first signal acquisition unit 230 is configured such that the sphygmomanometer that implements the measurement unit 220 can not simultaneously acquire pressure pulse waves from a person different from the subject whose blood pressure is to be measured. ing. For example, the pulse wave sensor and the sphygmomanometer may be configured integrally and configured to be worn only on the arm of the same person.

  When the first signal acquisition unit 230 acquires the first signal from the subject, the first signal acquisition unit 230 acquires the first signal, the extraction time at which the first signal is extracted, the type of the first signal, and the signal. It associates with measurement metadata including a body part name and the like, and outputs it to the communication unit 210. In addition, the measurement metadata may not include the type. In that case, the attribution determining apparatus 400 that has received the first signal determines the type from the characteristics of the first signal.

<Functional Configuration of Authentication Device>
The authentication device 300 includes a communication unit 310, an authentication information extraction unit 320, and a second signal acquisition unit 330.

  The communication unit 310 transmits the information extracted by the authentication information extraction unit 320, the information acquired by the second signal acquisition unit 330, and the like to the attribution determination apparatus 400 via the communication network.

  When the operation start instruction is input, the authentication information extraction unit 320 extracts authentication information for authenticating the person to be authenticated from the person to be authenticated. The authentication information is biometric information to be used for biometric authentication, and is, for example, fingerprint information, vein information and the like. In addition, when the authentication information extraction unit 320 extracts authentication information from the person to be authenticated, the authentication information extraction unit 320 outputs the extracted authentication information to the communication unit 310.

  The second signal acquisition unit 330 acquires a second signal which is biological information caused by the body of the person to be authenticated. The second signal is a feature that changes with time, and includes, for example, types such as pressure pulse wave, pulse, blood oxygen concentration, body temperature, bone conduction sound, weight, heart sound, airway sound and the like. In the present embodiment, the second signal is described as being a plethysmogram. In this case, the second signal acquisition unit 330 is realized by a pulse wave sensor.

  The pulse wave sensor that realizes the second signal acquisition unit 330 is configured not to simultaneously acquire a plethysmogram from a person different from the person to be authenticated that the authentication information extraction unit 320 authenticates. For example, the pulse wave sensor and the hardware for realizing the authentication information extraction unit 320 may be integrally configured, and may be configured to be worn only on the arm of the same person.

  In addition, when the second signal acquisition unit 330 acquires the second signal from the authentication target, the second signal, the acquisition time at which the second signal is acquired, the type of the second signal, and the second signal Are associated with authentication metadata including the acquired body part name and the like, and output to the communication unit 210. The authentication metadata may not include the type. In that case, the attribution determination apparatus 400 that has received the second signal may determine the type from the characteristics of the second signal.

<Functional configuration of attribution determination device>
The attribution determining apparatus 400 includes a communication unit 410, a biometric authentication unit 420, an authentication information storage unit 430, and a collation unit 440.

  The communication unit 410 exchanges information with the communication unit 210 of the measuring device 200 and the communication unit 310 of the authentication device 300.

  The biometric authentication unit 420 performs a biometric authentication process using the authentication information received by the communication unit 410 and extracted by the authentication device 300 from the authentication subject. Specifically, the biometric authentication unit 420 searches the authentication information storage unit 430 based on the authentication information, and extracts one or more of the user ID and the user name corresponding to the authentication information. Identify

  In addition, the biometric authentication unit 420 generates a measurement ID when the biometric authentication process is performed.

  The authentication information storage unit 430 stores information on the user who is the person to be authenticated. The authentication information storage unit 430 associates and records a user ID for uniquely identifying a user, a user name representing the name of the user, and authentication information of the user.

  The collation unit 440 includes an offset time processing unit 441, a feature point calculation processing unit 442, and a feature point collation processing unit (collation processing unit) 443, and the measuring unit 220 determines the first signal and the second signal. A collation process is performed to determine whether the measured health information is health information of a person to be authenticated. In addition, when the offset time processing unit 441, the feature point calculation processing unit 442, and the feature point matching processing unit 443 perform processing, the matching unit 440 further includes a functional unit for performing noise reduction and the like as necessary. It is also good.

  The offset time processing unit 441 performs offset time processing based on the first signal and the second signal received by the communication unit 410.

  Here, the offset time process will be described. Although the first signal and the second signal are generated due to heart beats of the subject and the subject, respectively, assuming that the subject and the subject are the same person. Also, due to several factors, a difference (detection time difference) may occur between the time when the first signal resulting from the same heartbeat is acquired and the time when the second signal is acquired.

  In order to remove the detection time difference, the offset time process represents the first signal and the second signal generated due to the same heartbeat at the same time (hereinafter referred to as “synchronize”). Is a process of shifting the time change of the second signal relative to the reference first signal.

  Here, the factor which a detection time difference generate | occur | produces is demonstrated.

  The time at which the measurement apparatus 200 for acquiring the first signal, ie, the pressure pulse wave, receives an instruction to start the operation from the user etc., and the second signal, ie, the authentication apparatus 300 for acquiring the volume pulse wave, receives the instruction to start the operation. There may be a pulse wave acquisition start time difference with the time. Also, the device reaction time from when the measurement apparatus 200 receives an operation start instruction to when it starts acquiring a pressure pulse wave, and the device when the authentication apparatus 300 receives an operation start instruction from when it starts to acquire a volume pulse wave. There may be a device reaction time difference between the reaction time.

Therefore, the offset time processing unit 441 controls the measuring apparatus 200 and the authentication apparatus 300 to simultaneously apply intentional artifacts such as synchronization pulses as electrical noise to the first and second signals, respectively. The application of the synchronization pulse causes the first and second signals to exhibit waveforms affected by the synchronization pulse. The offset processing unit 441 generates a pulse wave at time t _AC when the waveform affected by the synchronization pulse appears in the first signal and at time t _FC when the waveform affected by the synchronization pulse appears in the second signal. A time difference including an acquisition start time difference and a device reaction time difference is t _FC −t _AC .

Then, as shown in (A) and (A) of FIG. 2, the offset time processing unit 441 generates a second signal with respect to the first signal so as to represent the waveform affected by the synchronization pulse at the same time. Synchronize by shifting the signal by time t _FC -t _AC .

In addition, there are cases where the body part of the subject whose measurement device 200 measures the pressure pulse wave and the body part of the subject whose authentication device 300 measures the volume pulse wave are different. For example, the measurement apparatus 200 measures a pressure pulse wave on the upper arm of the subject, and the authentication apparatus 300 measures a volume pulse wave on the wrist of the subject. At this time, even if the subject and the subject are identical, there is a difference in the propagation time of the pulse wave because the site to be measured is different, and the pulse wave acquisition start time difference and the device reaction time difference are as described above. Even after synchronization for the included time difference, as shown in (c) and (d) of FIG. 2, the difference between the measurement time of the pressure pulse wave and the measurement time of the plethysmogram due to the same heart beat ( A pulse wave propagation time difference t _FA ) is generated. The pulse wave propagation time difference t _FA is set to a predetermined value previously determined by experiment or the like.

Furthermore, the pulse wave propagation time difference t _FA described above has an individual difference of about 100 milliseconds depending on age, sex, physical constitution, health condition, etc., time difference to compensate for this individual difference, error that may occur when detecting feature points, etc. An error including is denoted by ε _Ai .

Therefore, the time t _{Ai at which} the feature point of the pressure pulse wave (referred to as the “first feature point”) A _i appears is the feature point of the volume pulse wave due to the same heart beat (referred to as the “second feature point”) Equation (1) is related to time t _{Fj at} which F _j appears.

t _Ai = t _Fj + (t _FC −t _AC ) + t _FA + ε _Ai (1)

Therefore, the offset time processing unit 441 shifts the pressure pulse wave by the time (t _FC −t _AC ) + t _FA + ε _Ai to synchronize the pressure pulse wave and the volume pulse wave, that is, the first signal and the second signal. It can be synchronized with the signal.

  The offset time processing unit 441 performs offset time processing based on the first and second signals acquired in the pressurization period in which the cuff pressure in the sphygmomanometer as the measurement device 200 increases. The matching processing by the feature point matching processing unit 443 described in detail later will be performed by the first and second signals acquired in the depressurization period in which the cuff pressure is decreased, which can stably acquire the pressure pulse wave as the first signal. It is done on the basis of Therefore, the offset time processing unit 441 can perform the offset time processing in the background based on the signal not used for the matching processing, which makes it possible to shorten the time required for the entire attribution determination processing. .

The feature point calculation processing unit 442 includes a first feature point A _i which is a feature point of the first signal synchronized by the offset time processing unit 441 and a second feature point which is a feature point of the second signal. F _j is detected. The first signal, that is, the feature point of the pressure pulse wave, is a rising point corresponding to the start of the systole of the pressure pulse wave. The second signal, that is, the feature point of the plethysmogram is a peak which is a contraction initial positive wave of an acceleration plethysmogram calculated by second-order differentiation of the plethysmogram.

Since the pressure pulse wave periodically changes with time, the first feature point _Ai periodically appears in the time change of the pressure pulse wave. Therefore, the feature point calculation processing unit 442 detects times t _A1 , t _A2 , t _A3 ,..., T _Ai ,... Where the first feature points appear as a pressure pulse wave time sequence.

Similarly, since the plethysmogram periodically changes with time, the second feature point F _j periodically appears in the time change of the plethysmogram. Therefore, the feature point calculation processing unit 442 detects times t _F1 , t _F2 , t _F3 ,..., T _Fj ,... _Where the second feature points appear as a volume pulse wave time sequence.

  In the present embodiment, the first signal is a pressure pulse wave, and the second signal is a volume pulse wave. However, for example, when both the first and second signals are pressure pulse waves or volume pulse waves, the feature point is The point may indicate a characteristic in each cycle, such as the rising point and the peak point of the temporal change of the pressure pulse wave or the volume pulse wave.

The feature point matching processing unit 443 detects the pressure pulse wave time series t _A1 , t _A2 , t _A3 ,..., T _Ai ,... Detected by the feature point calculation processing section 442 and the volume pulse wave time series t match _{F1, t F2, t F3,} ···, t Fj, whether the person to be authenticated is identical according to the subject and the volume pulse wave of the pressure pulse wave based on the ... Perform matching processing.

Specifically, the feature point matching processing unit 443 counts the number of first feature points A _i that have appeared within a predetermined time range in the pressure pulse wave time series in the decompression phase (hereinafter, “the first feature score” Whether or not the difference between the number of second feature points F _j appearing in the same time range in the volume pulse wave time sequence (hereinafter referred to as “second feature points”) is equal to or greater than a predetermined value It is determined whether or not. If the difference between the first feature score and the second feature score is equal to or greater than a predetermined value, the feature point matching processor 443 determines that the match result is “NG”, that is, the health information measured from the subject is It is not the health information of the certified person. If the difference between the first feature score and the second feature score is less than a predetermined value, the feature point matching processor 443 performs a pair determination process.

  Here, the pair determination process will be described in detail.

The feature point matching processing unit 443 sets the second feature points F _j (where the first feature points A _i (i = 1, 2,..., N) appear within the pair determination error threshold) with reference to the time t _Ai. When j = 1, 2,... m) appears, a pair generation process is performed in which a combination of the first feature point _Ai and the second feature point F _j is used as a pair.

Further, the feature point matching process section 443, for the total number of the first feature points A _i, as a pair percentage the ratio of the number of first feature points A _i which is to be the second feature point F _j paired calculate. Then, the feature point matching processing unit 443 determines whether the pair ratio is equal to or more than a predetermined pair determination threshold. The feature point matching processing unit 443 determines that the matching result is “NG” when the pair ratio is less than the pair determination threshold, that is, the health information measured from the subject is not the health information of the subject, and the pair ratio If is greater than or equal to the pair determination threshold value, the match determination process is performed.

  Here, the match determination process will be described in detail.

Time feature point matching process unit 443, feature point time difference, namely that the time t _Ai of the first feature points A _i has appeared, a second feature point F _j is the first feature points A _i and pair appeared It is determined whether the difference from t _Fj is greater than or equal to a predetermined match determination error threshold. The match determination threshold is a value smaller than the pair determination threshold.

When the feature point time difference is less than the match determination error threshold value, the feature point matching processing unit 443 assumes that the first feature point _Ai and the second feature point F _j match. When the feature point time difference is equal to or greater than the match determination error threshold, the feature point matching processing unit 443 assumes that the first feature point _Ai and the second feature point F _j do not match.

Further, the feature point matching process section 443, for the total number of the first feature points A _i, match percentage the ratio of the number of first feature points A _i which is to be matched with the second feature point F _j Calculated as Then, the feature point matching processing unit 443 determines whether the match ratio is equal to or more than a predetermined match determination threshold. When the matching ratio is less than the matching threshold, the feature point matching processor 443 determines that the matching result is “NG”, that is, the health information measured from the subject is not the health information of the subject, and the matching ratio is If it is equal to or greater than the match determination threshold value, the variance value determination process is performed.

  Here, the dispersion value determination process will be described.

  The feature point matching processing unit 443 calculates the variance value of the feature point time difference, and determines whether or not the variance value is greater than or equal to a predetermined variance value threshold.

  The variance value of the feature point time difference will be described in detail with reference to the example of FIG. 3 (A) and 3 (B) show pressure pulse waves (FIG. 3 (A) and (B) respectively) which are the first signals subjected to the offset time processing as described above by the offset time processor 431. And a second signal, ie, a time pulse of the plethysmogram (see (2) in each of FIGS. 3A and 3B). In FIG. 3 (A), it is represented by the offset time process that the propagation time difference between the pressure pulse wave and the plethysmogram caused by the same heart beat is very small. On the other hand, in FIG. 3 (B), even when the offset time processing is performed, the propagation time difference resulting from the difference between the pressure pulse wave and the volume pulse wave detection site is shown as remaining.

  FIG. 4 is a feature point time difference which is the difference between the feature point time of the pressure pulse wave of each pair shown in (a) to (f) of FIG. 3 (A) and (B) and the feature point time of the plethysmogram. The lowermost row shows the variance value of the feature point time difference. As shown in FIG. 3 (B), even if there is a time difference between the time when the feature point of the pressure pulse wave appears and the time when the feature point of the volume pulse wave appears as shown in FIG. If the variance value is less than a predetermined threshold, this time difference is due to the difference in the sites where the pressure pulse wave and the plethysmogram are detected, and these feature points are considered to be due to the same heart beat.

  Therefore, the feature point matching processing unit 443 sets the matching result as “OK” if the variance value is less than the predetermined variance value threshold, and sets the matching result as “NG” if the variance value is equal to or more than the variance value threshold.

<Operation of attribution determination system>
Subsequently, the operation of the attribution determination system 1 according to the present embodiment will be described with reference to FIG.

  First, the person to be measured wears the cuff of the sphygmomanometer that is the measuring device 200 on the arm (step S11). Also, the person to be authenticated places a finger on the authentication device 300 (step S12).

  When the subject places a finger on the authentication apparatus 300 in step S12, the authentication apparatus 300 extracts the authentication information from the finger that is the body part of the subject (step S13). When the authentication information is extracted in step S13, the authentication device 300 transmits the acquired authentication information together with the authentication request to the attribution determination device 400 via the communication network (step S14).

  When the authentication information is transmitted in step S14, the biometric authentication unit 420 of the attribution determination device 400 receives the authentication information and performs an authentication process (step S15). When the authentication process is performed in step S15, the biometric authentication unit 420 generates a measurement ID (step S16). When the measurement ID is generated in step S16, the communication unit 410 transmits the measurement ID generated by the biometric authentication unit 420 to the authentication device 300 (step S17).

  When the measurement ID is transmitted to the authentication device 300 in step S17, the communication unit 310 of the authentication device 300 transmits the measurement ID to the measurement device 200 (step S18).

  Further, when the measurement ID is transmitted to the authentication apparatus 300 in step S17, the second signal acquisition unit 330 of the authentication apparatus 300 starts operation (step S19), thereby acquiring a volume pulse wave from the authentication subject. (Step S20).

  When the second signal acquisition unit 330 of the authentication device 300 starts the operation in step S19, the subject inputs an operation start instruction to the measurement device 200 (step S21). When a blood pressure measurement start instruction is input to the measuring apparatus 200 in step S21, the measuring unit 220 of the measuring apparatus 200 starts operation (step S22), measures the blood pressure value of the subject, and obtains a plethysmogram. (Step S23).

  Then, when the measurement of the blood pressure value by the sphygmomanometer which is the measurement unit 220 ends, the first signal acquisition unit 230 ends the acquisition of the pressure pulse wave (step S24). When the measurement unit 220 ends the measurement of the blood pressure value and the first signal acquisition unit 230 ends the acquisition of the pressure pulse wave in step S24, the communication unit 210 transmits measurement end information to the authentication device 300 (step S25). ). When the measurement end information is transmitted in step S25, the communication unit 310 of the authentication device 300 receives the measurement end information, and the second signal acquisition unit 330 ends the acquisition of the plethysmogram (step S26).

  On the other hand, when the measurement unit 220 ends the measurement of the blood pressure value and the first signal acquisition unit 230 ends the acquisition of the pressure pulse wave in step S24, the communication unit 210 determines the blood pressure value and the pressure pulse wave as the attribution determination device It transmits to 400 (step S27). Similarly, when the second signal acquisition unit 330 ends the acquisition of the plethysmogram in step S26, the communication unit 310 transmits the plethysmogram to the attribution determination apparatus 400 (step S28).

  When the blood pressure value and the pressure pulse wave are transmitted in step S27, the communication unit 410 of the attribution determination device 400 receives the blood pressure value and the pressure pulse wave. Similarly, in step S26, when the plethysmogram is transmitted, the communication unit 410 receives the plethysmogram. Then, the offset time processing unit 441 performs offset time processing based on the pressure pulse wave and the volume pulse wave received by the communication unit 410 (step S29).

  When the offset time process is performed in step S29, the feature point calculation processing unit 442 performs a feature point calculation process (step S30). Then, when feature point calculation processing is performed in step S30, the feature point matching processing unit 443 performs feature point matching processing and outputs the matching result (step S31).

  Here, the feature point matching process in step S31 will be described in detail with reference to FIG.

  First, the feature point matching processing unit 443 performs a second feature score within the same time range as the first feature score within a predetermined time range of the pressure pulse wave time sequence in the decompression phase and the second feature score within the same time range among the volumetric pulse wave time sequence. It is determined whether or not the difference between the above and the above is a predetermined value or more (step S311).

  When it is determined in step S311 that the difference between the first feature score and the second feature score is less than a predetermined value, the feature point matching processing unit 443 performs a pair generation process (step S312). When the pair generation process is performed in step S312, the feature point matching processing unit 443 calculates a pair ratio (step S313).

  When the pair ratio is calculated in step S313, the feature point matching process unit 443 determines whether the pair ratio is equal to or more than the pair determination threshold (step S314). If it is determined in step S314 that the pair ratio is equal to or greater than the pair determination threshold, the feature point matching processor 443 calculates a match ratio (step S315).

  When the match ratio is calculated in step S314, the feature point matching process unit 443 determines whether the match ratio is equal to or more than the match determination threshold (step S316). If it is determined in step S316 that the match ratio is equal to or greater than the match determination threshold, the feature point matching processing unit 443 calculates a variance value of feature point time differences (step S317).

  When the variance value of the feature point time difference is calculated in step 317, the feature point matching processing unit 443 determines whether the variance value is greater than or equal to the variance value determination threshold (step S318). If it is determined in step S318 that the variance value is less than the variance value determination threshold, the feature point matching processor 443 determines that the matching result is "OK", that is, the health information measured from the subject is the subject's health It is assumed that it is information (step S319).

  If it is determined in step S311 that the difference between the first feature score and the second feature score is greater than or equal to a predetermined value, then it is determined in step S314 that the pair ratio is less than the pair determination threshold, step S316. If the match ratio is determined to be less than the match determination threshold or if the variance value is determined to be equal to or greater than the variance value determination threshold in step S318, the feature point matching processing unit 443 determines that the matching result is “NG”. That is, it is assumed that the health information measured from the subject is not the health information of the subject (step S320).

  Returning to FIG. 5, when the feature point matching process is performed in step S31, the communication unit 410 transmits the matching result and the blood pressure value received in step S27 to the authentication device 300 (step S32). When the collation result and the blood pressure value are transmitted in step S31, the communication unit 410 of the authentication device 300 receives the collation result and the blood pressure value, and the display unit so that the person to be authenticated can visually recognize the received collation result and the blood pressure value. Or displayed on the display device (step S33).

  As described above, in the attribution determination system 1 according to the present embodiment, the first signal and the second signal are synchronized with the part of the first signal before the acquisition of the part used for the collation process is started. Give a pulse and synchronize based on the sync pulse. Therefore, the offset time processing unit 441 can perform the offset time processing in the background based on the signal acquired in the pressurization period not used for the collation processing, whereby the time required for the whole of the attribution judgment processing can be obtained. It becomes possible to shorten. Therefore, the user can complete the process of determining the property within the time equivalent to the time required to perform the normal measurement using the measuring device 200 without making the user feel the time required for acquiring the pressure pulse wave. . This makes it possible to secure usability.

  Further, in the attribution determination system 1 of the present embodiment, since the offset time processing unit 441 synchronizes based on the specific pulse generated by the synchronization pulse, for example, two signals for performing temporal synchronization of the pulse wave. There is no need to search for a synchronized point by comparing the feature point time series relatively offset. For this reason, it is possible to reduce the time required for processing to synchronize two signals, and thus to reduce the processing time of the attribution determination.

  In addition, since synchronization is performed based on the synchronization pulse as described above, it is not necessary to perform calibration at the time of manufacture, shipping or the like of the attribution determination apparatus 400, and the manufacturing process can be shortened.

In the attribution determination system 1 of the present embodiment, synchronization of the two signals on the basis of pulse wave acquisition start time difference, the device response time difference, and the pulse wave propagation time difference t _FA, the previously predicted time difference by experiments or the like . For this reason, the time lag of the two signals is not predicted, and synchronization can be achieved more quickly than when searching for a point to synchronize while shifting the time change of the two signals.

In the attribution determination system 1 of the present embodiment, the time t _Ai of the first feature points A _i has appeared, a second feature point F _j pairwise with the first feature points A _i appeared A collation process is performed based on the dispersion value of the difference with time _tFj . Therefore, whether or not the health information measured by the measurement unit 220 is the health information of the person to be certified even if synchronization between the two signals is not achieved because the time difference predicted for the pulse wave propagation time difference is not appropriate Can be determined accurately.

  Further, in the attribution determination system 1 of the present embodiment, the collation unit 440 detects the pressure pulse wave time series and the volume pulse wave time series and performs the collation process using the mutually corresponding feature points. Specifically, the feature points appearing within a predetermined range of the time when the feature points appear are taken as the corresponding feature points. Therefore, even if one of the feature points can not be detected due to the influence of noise or the like, the matching process can be performed on the other feature points using the corresponding feature points. For example, in the method of performing the matching process using the interval between feature points, accurate matching can not be performed when one feature point can not be detected due to the influence of noise or the like. The detection method in the present embodiment enables robust matching as compared to such a method.

  In the present embodiment, the communication unit 410 transmits the measurement ID generated by the biometric authentication unit 420 to the measurement device 200 via the authentication device 300, but the present invention is not limited to this. For example, the communication unit 410 may transmit the measurement ID directly to the measurement device 200.

  Further, in the present embodiment, although the measurement apparatus 200 starts measurement when an operation start instruction is input by the subject, the present invention is not limited to this. For example, the measurement apparatus 200 may start measurement when acquisition of a plethysmogram is started by the authentication apparatus 300.

  Further, in the present embodiment, a learning unit is provided which mechanically learns by correlating the propagation time difference due to the difference in the part of the body from which the first and second signals are acquired with age, gender, physique, health condition and the like. The offset time processing unit 441 may perform offset processing using the propagation time difference determined by the learning unit.

  Further, in the present embodiment, the pair determination process, the match determination process, and the variance value determination process are performed, but the comparison result may be output based on one or more of these determination processes.

  Further, in the present embodiment, the match determination process is performed when the pair ratio is equal to or higher than the pair determination threshold, and the variance value determination process is performed when the match ratio is less than the match determination threshold. All of the pair determination processing, the match determination processing, and the variance value determination processing may be performed regardless of the result of and the comparison result may be output based on all the results.

  Although the embodiments and examples described above have been described as representative examples, it is obvious to those skilled in the art that many modifications and substitutions can be made within the spirit and scope of the present invention. Therefore, the present invention should not be construed as being limited by the above-described embodiments and examples, and various modifications and changes are possible without departing from the scope of the claims. For example, it is possible to combine a plurality of configuration blocks described in the embodiment and the example into one, or to divide one configuration block.

1 Attribution Judgment System 200 Measurement Device 210 Communication Unit 220 Measurement Unit 230 First Signal Acquisition Unit 300 Authentication Device 310 Communication Unit 320 Authentication Information Extraction Unit 330 Second Signal Acquisition Unit 400 Attribution Judgment Device 410 Communication Unit 420 Biometric Authentication Unit 430 Authentication information storage unit 440 Matching unit 441 Offset time processing unit 442 Feature point calculation processing unit 443 Feature point matching processing unit (matching processing unit)

Claims (8)

An attribution determination apparatus for transmitting and receiving information between a measurement apparatus and an authentication apparatus via a communication network, comprising:
Health information of the subject measured by the measuring device, a first signal which is biological information acquired by the measuring device, authentication information of the subject extracted by the authentication device, and acquisition by the authentication device A communication unit that receives a second signal that is the processed biometric information;
A biometric authentication unit for authenticating a certifier based on the authentication information;
The measurement device is controlled to simultaneously apply a synchronization pulse to the first signal and the second signal before starting acquisition of a portion of the first signal used for collation processing, to the synchronization pulse An offset time processing unit that synchronizes the first signal and the second signal based on
Based on the first signal and the second signal synchronized by the offset time processing unit, it is determined whether the health information measured by the measuring device is the health information of the person to be authenticated A verification processing unit that performs verification processing;
An attribution determination apparatus comprising: A feature point calculation processing unit that detects a first feature point that is a feature point of the first signal and a second feature point that is a feature point of the second signal that are synchronized by the offset time processing unit And further
The collation processing unit is characterized by performing collation processing based on the number of feature points of the first signal within a predetermined time and the number of feature points within the predetermined time of the second signal. The attribution determination apparatus according to claim 1.   When the second feature point appears in the pair determination error threshold on the basis of the time when the first feature point appears among the first feature points, the matching processing unit determines the first feature point. 3. The apparatus according to claim 2, wherein the combination of the second feature point and the second feature point is used as a pair, and the matching process is performed based on the ratio of the pair to the total number of the first feature points. .   The matching processing unit determines that a difference between a time when the first feature point appears and a time when a second feature point forming a pair with the first feature point appears is equal to or greater than a predetermined match determination error threshold. The method according to claim 3, characterized in that the matching process is performed based on a match ratio of the pair determined to be less than the match determination error threshold value to the total number of the pair. apparatus.   The matching processing unit calculates a variance value of a difference between a time when the first feature point appears and a time when a second feature point forming a pair with the first feature point appears, and the variance value The attribution determination apparatus according to claim 3 or 4, wherein the verification processing is performed based on. When the pair ratio is equal to or higher than the pair determination threshold, the match ratio is equal to or higher than the match determination threshold, and the variance value is less than the variance value threshold, the matching processing unit determines that the health information measured by the measuring device is It is determined that the health information of the person to be authenticated, the pair ratio is less than the pair determination threshold, the match ratio is less than the match determination threshold, or the variance value is greater than or equal to the variance value threshold. 6. The attribution determination apparatus according to claim 5, wherein it is determined that the health information measured by the measurement apparatus is not the health information of the person to be authenticated. A method of determining a property performed by a property determining device that transmits and receives information to and from a measuring device and an authenticating device via a communication network,
Health information of the subject measured by the measuring device, a first signal which is biological information acquired by the measuring device, authentication information of the subject extracted by the authentication device, and acquisition by the authentication device Receiving a second signal that is the processed biometric information;
Authenticating the certifier based on the authentication information;
The measurement device is controlled to simultaneously apply a synchronization pulse to the first signal and the second signal before starting acquisition of a portion of the first signal used for collation processing, to the synchronization pulse Synchronizing the first signal and the second signal based thereon;
Performing a verification process to determine whether the health information is the health information of the person to be authenticated based on the first signal and the second signal synchronized.
And a method of determining the attribution. What is claimed is: 1. A membership judgment system comprising a measuring device, an authentication device, and a membership judgment device that mutually transmit and receive information via a communication network,
The measuring device
A measurement unit that measures health information including one or more of biological information and exercise information of the subject from the subject;
A first signal acquisition unit configured to acquire a first signal, which is biological information of the subject, from the subject;
The authentication device
An authentication information extraction unit for extracting authentication information for extracting authentication information for authenticating the subject from the subject;
And a second signal acquisition unit that acquires a second signal, which is biometric information of the subject, from the subject.
The attribution determination device is
A communication unit that receives the health information, the first signal, the authentication information, and the second signal;
A biometric authentication unit for authenticating a certifier based on the authentication information;
The measurement device is controlled to simultaneously apply a synchronization pulse to the first signal and the second signal before starting acquisition of a portion of the first signal used for collation processing, to the synchronization pulse An offset time processing unit that synchronizes the first signal and the second signal based on
Based on the first signal and the second signal synchronized by the offset time processing unit, it is determined whether the health information measured by the measurement unit is the health information of the person to be authenticated A verification processing unit that performs verification processing;
A membership judgment system comprising:

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