JP2023069983A - Biological information processing device, biological information processing method, and program - Google Patents

Abstract

To provide a technology to accurately associate a person to be measured with biological information.SOLUTION: A biological information processing device includes: a signal reception unit for receiving a signal on biological information reflected from at least one person to be measured; a candidate region specification unit for calculating an arrival direction of the signal and/or a distance to the person to be measured from the received signal, and specifying a candidate region of the person to be measured using the calculated arrival direction and/or distance; an information generation unit for generating biological information corresponding to the candidate region of the person to be measured from the received signal; and a biological information association unit for associating the person to be measured with the generated biological information on the basis of a feature of the generated biological information.SELECTED DRAWING: Figure 3

Description

The present invention relates to technology for processing biological information.

Techniques for acquiring biometric information of a person to be measured using non-contact means such as various sensors and radars and associating the acquired biometric information with the person to be measured have been put to practical use. For example, Patent Literature 1 proposes a technique of identifying a person to be measured from an image generated by an imaging device, and associating separately acquired biological information of the person to be measured with the identified person to be measured.

JP 2019-152914 A

However, in the conventional technology, since the person to be measured is identified based on the characteristics such as the pattern of the bedding used by the person to be measured, when a plurality of people to be measured use bedding with the same pattern, each person can be accurately identified. People may not be associated. Further, in the conventional technology, a person to be measured is identified by face authentication. If the face moves to a position that cannot be imaged by the device, there is a possibility that normal face authentication cannot be performed.

The present invention has been made in view of the above circumstances, and provides a technique for accurately associating a person to be measured with biological information.

In order to achieve the above objects, the present invention employs the following configurations.

One aspect of the present invention is a biological information processing apparatus, comprising: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; and/or a candidate area identifying unit that calculates a distance to the person to be measured and identifies a candidate area of the person to be measured using the calculated direction of arrival and/or the distance; an information generating unit that generates biometric information corresponding to the candidate region of the person to be measured; and a biometric information associating unit that associates information with the biometric information. Further, one aspect of the present invention is a biological information processing apparatus, comprising: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; and a biological information associating unit that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information. It is a biological information processing apparatus characterized by

According to another aspect of the present invention, there is provided a biological information processing apparatus, comprising: a signal receiving unit that receives signals related to biological information reflected from a plurality of persons; a candidate area identifying unit that calculates a distance to at least one person to be measured among a plurality of persons, and identifies a candidate area of the person to be measured using the calculated direction of arrival and/or the distance; an information generating unit that generates biometric information corresponding to the candidate region of the person to be measured from the received signal; and a biometric information associating unit that associates the generated biometric information with the biometric information. According to another aspect of the present invention, there is provided a biological information processing apparatus, comprising: a signal receiving unit that receives signals related to biological information reflected from a plurality of persons; an information generation unit that generates biometric information of a person to be measured; and a biometric information association unit that associates the person to be measured with the generated biometric information based on characteristics related to the generated biometric information; A biological information processing apparatus characterized by having Accordingly, the biometric information obtained from the person to be measured by the non-contact biometric information acquiring means can be associated with the person to be measured with high accuracy.

Further, the biometric information associating unit associates the person to be measured with the generated biometric information based on the degree of similarity of the change over time of the movement of the person to be measured indicated by the generated biometric information. good too. In addition, the temporal change in movement of the person to be measured may include characteristics of the number of breaths per hour, the time ratio of expiration and inspiration, or the slope of the respiratory waveform. In addition, the change over time of the movement of the person to be measured may include features of a respiratory waveform and/or a heartbeat waveform. Moreover, the change over time in the movement of the person to be measured may be the change over time in the movement of the person to be measured when the person to be measured has a seizure. In addition, the candidate region identifying unit calculates, from the received signal, the direction of arrival of the signal and/or the distance to the person to be measured, except when the person to be measured is having a seizure. The azimuth of arrival and/or the distance may be used to identify a candidate area of the person to be measured. Further, the biometric information associating unit may associate the person to be measured with the generated biometric information based on a feature of the spatial distribution of the candidate regions of the person to be measured. Further, the biometric information associating unit may associate the person to be measured with the generated biometric information based on the magnitude of the amplitude indicated by the generated biometric information. Thereby, the correspondence relationship between the person to be measured and the biometric information can be specified with high accuracy using the characteristics of the biometric information of the person to be measured.

Further, the biometric information associating unit may associate the person to be measured with the generated biometric information based on a motion feature of the person to be measured obtained from the received signal. Further, the feature of the motion of the person to be measured may be a feature related to the sleeping position of the person to be measured. Further, the feature of the motion of the person to be measured may be a feature related to walking of the person to be measured. The signal receiving unit acquires a signal related to the biological information by receiving a signal reflected from the person to be measured wearing a reflector, and the biological information associating unit receives the signal reflected from the reflector. The person to be measured and the generated biometric information may be associated with each other based on the characteristics of the obtained signal. Further, the biometric information associating unit may associate the person to be measured with the generated biometric information based on information identifying the person to be measured that has been acquired in advance. As a result, any one of a plurality of persons can be set as a measurement target of biometric information, and the correspondence relationship between the person to be measured and the biometric information can be specified with high accuracy. Further, the biological information processing apparatus described above outputs a notification that the person to be measured and the biological information cannot be normally associated when the spatial distribution of the reflection points of the received signal is abnormal. may be further provided. As a result, it is possible to accurately associate the biometric information with the person to be measured while suppressing such a possibility by notifying an abnormality that may hinder acquisition of the biometric information of the person to be measured. .

According to another aspect of the present invention, there is provided a biological information processing apparatus comprising: a signal receiving unit that receives signals indicating pressure applied to different positions by at least one person to be measured; a candidate region identifying unit that identifies a candidate region of the person to be measured based on the obtained pressure distribution; and an information generator that generates biometric information corresponding to the candidate region of the person to be measured from the received signal. and a biological information associating unit that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information. As a result, the biometric information and the person to be measured can be associated with high accuracy, for example, for a person to be measured on a bed on which pressure measuring elements are arranged in a plane.

According to another aspect of the present invention, there is provided a biological information processing apparatus, comprising: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; an estimating unit for estimating the number of persons to be measured by machine learning for each predetermined unit of arrival azimuth and/or distance to the person to be measured, and from the received signal, an information generating unit that generates biometric information of the person to be measured; a classification unit that classifies the generated biometric information of the person to be measured based on the estimated number of people to be measured; a biological information associating unit that associates the person to be measured with the classified biological information based on the characteristics related to the biological information of the person, wherein the classification unit relates to the number of people to be measured Biometric information, wherein when information is acquired, the generated biometric information of the person to be measured is classified based on the acquired information instead of the estimated number of persons to be measured. processing equipment. Further, one aspect of the present invention is a biological information processing apparatus, comprising: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; an information generation unit that generates the biological information of the person, an acquisition unit that acquires information about the number of the people to be measured, and a measurement object generated based on the acquired information about the number of the people to be measured and a biological information associating unit that associates the person to be measured with the classified biological information based on the characteristics of the biological information of the person to be measured. This biological information processing apparatus is characterized by: As a result, biometric information can be classified using information with higher accuracy than information on the number of persons to be measured that is specified by reasoning.

In addition, the present invention includes a biological information processing method including at least part of the above processing, a program for causing a computer to execute these methods, or a computer-readable non-temporarily recorded program of such a program. It can also be regarded as a recording medium. Each of the above configurations and processes can be combined to form the present invention as long as there is no technical contradiction.

ADVANTAGE OF THE INVENTION According to this invention, the biometric information acquired from the person of a measuring object can be highly accurately related with the person of a measuring object.

FIG. 1 is a diagram schematically showing a configuration example of a biological information processing apparatus to which the present invention is applied. FIG. 2 is a diagram showing a schematic configuration of a biological information processing apparatus according to one embodiment. FIG. 3 is a block diagram illustrating an example of a biological information processing device according to one embodiment. FIG. 4 is a flowchart illustrating an example of the processing flow of the biological information processing apparatus according to one embodiment. FIG. 5A is a diagram showing an example of a candidate region of a person to be measured in one embodiment, and FIGS. 5B to 5D are diagrams showing examples of biometric information of a person to be measured in one embodiment. FIG. 6A is a diagram schematically showing a configuration example of a biological information processing apparatus according to an embodiment, and FIG. 6B is a diagram showing an example of a candidate region of a person to be measured according to the embodiment. FIG. 7A is a diagram schematically showing a configuration example of a biological information processing apparatus according to an embodiment, and FIG. 7B is a diagram showing an example of candidate areas of a person to be measured according to the embodiment. FIG. 8A is a diagram schematically showing a configuration example of a biological information processing apparatus according to a modified example, and FIG. 8B is a diagram schematically showing a configuration example of a bed according to one embodiment. FIG. 9A is a flowchart showing a processing flow example of a biological information processing apparatus according to a modified example, and FIG. 9B is a diagram showing an example of a candidate region of a person to be measured according to the modified example. FIG. 10 is a flow chart showing a processing flow example of a biological information processing apparatus according to a modified example. FIG. 11 is a flowchart illustrating a processing flow example of a biological information processing apparatus according to a modification.

<Application example>
An application example of the present invention will be described. In the conventional technology, the person to be measured is identified based on the image of the person to be measured. Therefore, in cases such as when multiple people to be measured use the same bedding, the difference in the image of the person to be measured is small, so the accuracy is reduced. Often it may not be possible to identify each person being measured. Further, in the conventional technology, depending on the position of the person to be measured, the imaging device may not be able to capture an image of the person to be measured correctly, and face authentication may not be performed normally.

FIG. 1 is a diagram schematically showing a usage example of a biological information processing apparatus 100 to which the present invention is applied. In the usage example shown in FIG. 1 , three persons 31 , 32 , and 33 whose biological information are to be measured are lined up on a bed 20 installed in a room 10 . A biological information processing apparatus 100 is arranged in the room 10 . The biological information processing apparatus 100 transmits signals to the persons 31, 32, and 33 to be measured on the bed 20, and performs so-called non-contact biological information sensing. The frequencies of the signals transmitted to the persons 31, 32, 33 to be measured include frequencies in the frequency band of 30 GHz to 300 GHz used for millimeter wave radar, but other frequencies such as light, radio waves, sound waves, and ultrasonic waves are used. frequency band may be employed.

FIG. 2 is a diagram showing a configuration example of the biological information processing apparatus 100. As shown in FIG. The biological information processing apparatus 100 has a transmission/reception section 111 , a control section 112 , a storage section 113 and an output section 114 . The transmitting/receiving unit 111 functions as a signal receiving unit that receives a signal related to biological information reflected from a person whose biological information is to be measured, and transmits/receives signals to/from the persons 31, 32, and 33 to be measured. The control unit 112 uses the signals received by the transmitting/receiving unit 111 from the persons 31, 32, and 33 to be measured to generate biological information of each person to be measured. The details of the biometric information generation process executed by the control unit 112 will be described later. The storage unit 113 stores various data such as signal data received by the transmission/reception unit 111 and data used or generated in processing executed by the control unit 112 . The output unit 114 notifies the user of the result of the processing executed by the control unit 112, and outputs data about the result to an external device. Note that the output unit 114 may be configured to output data related to the biological information of the person to be measured to an external device by various communication methods such as wireless communication and wired communication.

The biological information processing apparatus 100 performs non-contact biological information sensing on a plurality of persons to be measured using a signal transmission/reception means such as a radio wave radar, an ultrasonic sensor, or a sound wave sensor, and obtains each person to be measured. based on the positional information of the person to be measured. Therefore, according to the biological information processing apparatus 100, the biological information acquired from the person to be measured can be accurately associated with the person to be measured.

<Description of embodiment>
An embodiment of the technology of the present disclosure will be described. In this embodiment, as an example, a biological information processing apparatus 100 and a bed 20 are arranged in a room 10 as shown in FIG. It is assumed that a biological information processing apparatus acquires biological information on breathing of each person to be measured during sleep. Here, it is assumed that persons 31, 32, and 33 to be measured constitute one family, and are female, child, and male, respectively. Here, it is assumed that the biometric information to be acquired is biometric information related to breathing of the person to be measured, but the biometric information to be acquired may be biometric information related to heartbeat, body movement, and the like.

FIG. 3 is a block diagram showing a configuration example of the biological information processing apparatus 100 according to one embodiment. As shown in FIG. 3, in the biological information processing apparatus 100, the transmitting/receiving unit 111 includes a transmitting unit 121 that transmits a signal to the person to be measured, and a receiving unit 122 that receives the signal reflected from the person to be measured. have. The control unit 112 also includes a signal addition unit 123 that performs signal addition by adding together the signals received by the reception unit 122, and an information generation unit 124 that performs signal processing on the added signals to generate biological information. , a candidate area specifying unit 125 that specifies a candidate area indicating the position of a person to be measured, and a biometric information association unit 126 that associates biometric information with each person to be measured. The biometric information for each person to be measured associated by the biometric information associating unit 126 is output to the display device 300 by the output unit 114 . Examples of display devices include displays and information processing terminals (such as smartphones).

The control unit 112 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like, and controls each unit in the biological information processing apparatus 100 and performs various information processing. The storage unit 113 also stores programs executed by the control unit 112, various data used in processes executed by the control unit 112, and the like. For example, the storage unit 113 is an auxiliary storage device such as a hard disk drive or solid state drive. The output unit 114 outputs the biological information of the person to be measured by the processing of the control unit 112 to the display device 300 . The biological information generated by the control unit 112 may be stored in the storage unit 113 and output from the output unit 114 to the display device 300 at arbitrary timing.

Further, in the present embodiment, the biological information processing apparatus 100 and the display apparatus 300 are separate apparatuses, but the biological information processing apparatus 100 and the display apparatus 300 may be configured integrally. Also, at least part of the functions of the biological information processing apparatus 100 may be implemented by a computer on the cloud, or may be a microcomputer such as a PLC (Programmable Logic Controller) or a single board computer.

FIG. 4 is a flow chart showing a processing flow example of the biological information processing apparatus 100. As shown in FIG. As an example, the processing in FIG. 4 is executed by the user operating the biological information processing apparatus 100 after power-on to instruct the start of the processing flow in FIG. In addition, before the processing of this flowchart is started, information indicating that the targets for which biometric information is to be acquired are the persons 31, 32, and 33 to be measured, and the biometric information of the persons 31, 32, and 33 to be measured. Feature information about features is stored in the storage unit 113 in advance. Alternatively, the user of the biological information processing apparatus 100 may specify these pieces of information before the processing of this flowchart is started. The feature information of the biometric information of each person to be measured is information used for associating the biometric information generated by the process described later in the biometric information processing apparatus 100 with each person to be measured. , as an example, is information indicating the characteristics of changes over time in the amplitude or phase of the respiratory waveform of each person to be measured. With reference to FIG. 4, the biometric information specifying process for each person to be measured, which is executed in the biometric information processing apparatus 100, will be described.

In step S<b>301 , the transmitter 121 transmits chirp signals to the persons 31 , 32 , 33 on the bed 20 whose biological information is to be measured. Note that the frequency band of the chirp signal transmitted by the transmission unit 121 and the transmission method such as up-chirp or down-chirp may be set as appropriate. Here, as an example, it is assumed that the FMCW (frequency continuous modulation) system is used, the sampling period for transmission and reception is about 100 μs, and the number of antennas is an array of 8 channels. The receiving unit 122 receives the signals reflected from the persons 31, 32, and 33 to be measured. Next, in step S302, the signal addition unit 123 performs signal addition by adding the IF signal obtained from the difference between the chirp signal transmitted by the transmission unit 121 and the signal received by the reception unit 122. FIG.

In step S303, the control unit 112 determines whether the transmission and reception of chirps to the persons 31, 32, and 33 to be measured in step S301 have been performed a predetermined number of times. Here, chirp transmission/reception is performed a predetermined number of times, so that the accuracy of the biometric information of the person to be measured, which is generated by the process described later, can be ensured. If chirp transmission/reception has been executed a predetermined number of times (S303: YES), the control unit 112 advances the process to step S304, and if the number of chirp transmission/reception executions is less than the predetermined number (S303: NO), the process proceeds to step S304. is returned to step S301. Note that the predetermined number of chirp transmission/reception may be appropriately determined according to the type of biometric information to be generated.

In step S304, the information generator 124 calculates the distance from the transmitter/receiver 111 (biological information processing apparatus 100) using the signal added in step S302. Specifically, the information generation unit 124 calculates the distance to the position where the signal is reflected from the different frequency spectrum obtained by performing the Fourier transform (FFT) after AD-converting the IF signal added in step S302. do.

In step S305, the information generation unit 124 calculates the azimuth with respect to the transmission/reception unit 111 (biological information processing apparatus 100) using the signal added in step S302. Specifically, information generating section 124 calculates an arrival azimuth (angle) from the phase difference of received signals between the plurality of antennas of receiving section 122 .

Next, in step S306, the control unit 112 determines whether or not the number of acquisition times of the position information of the person to be measured in steps S305 and S306 has reached a predetermined number. By performing this determination, the biological information of the person to be measured, which is generated by the process described later, is biological information with a length of time that allows the characteristics of the person to be determined. It is possible to guarantee that it is the biometric information of the included time length. If the number of acquisition times of the position information of the person to be measured has reached the predetermined number (S306: YES), the control unit 112 advances the process to step S307, and the number of acquisition times of the position information of the person to be measured reaches the preset number. If not (S306: NO), the process returns to step S301. Note that the default number of acquisition times of position information may be appropriately determined according to the type of biometric information to be generated.

Next, in step S307, the information generation unit 124 generates information about the spatial distribution of the reflection points received by the reception unit 122 based on the distances and azimuths calculated in steps S304 and S305. Then, in step S308, the information generation unit 124 identifies a candidate area of the person to be measured based on the information about the spatial distribution of the reflection points. FIG. 5A shows an example of a candidate region identified by the information generator 124 based on information on the spatial distribution of reflection points in this embodiment. Here, areas 51, 52 and 53 correspond to persons 31, 32 and 33 to be measured.

Next, in step S309, the information generation unit 124 uses the signals added in step S302 for each of the candidate regions 51, 52, and 53 identified in step S308 to generate respiratory waveforms from temporal changes in amplitude or phase. generate the biometric information shown. Then, in step S310, the biometric information association unit 126 associates the biometric information generated by the information generation unit 124 with each person to be measured. Specifically, the biometric information associating unit 126 calculates the degree of similarity between the feature of the biometric information corresponding to each candidate region generated in step S309 and the feature of the biometric information of each person to be measured stored in the storage unit 113. Based on this, the persons 31, 32, and 33 to be measured are associated with the biological information.

FIG. 5B, FIG. 5C, and FIG. 5D are examples of graphs showing time-dependent changes in amplitude or phase (respiratory waveform) in each of the candidate regions 51, 52, and 53 in this embodiment. As shown in FIGS. 5B-5D, each region has a different change in amplitude or phase over time. Therefore, the biological information associating unit 126 combines the characteristics of the temporal change in the amplitude or phase indicated by the biological information generated in step S309 and the respiration of each person to be measured indicated by the characteristic information stored in advance in the storage unit 113. The persons 31, 32, 33 to be measured and the biometric information obtained from the candidate regions 51, 52, 53 are associated with each other based on the degree of similarity with the characteristics of changes over time in amplitude or phase of the waveform. When using a respiratory waveform that shows temporal changes in amplitude or phase, for example, the criteria for the degree of similarity are the number of breaths per unit time, the time ratio between the expiration phase and the inspiratory phase, and the respiratory waveform at a predetermined point in time. inclination, etc. Further, since the degree of similarity of temporal changes in amplitude or phase in each candidate region can be calculated using a well-known technique, detailed description thereof is omitted here.

According to this embodiment, biometric information obtained from a plurality of persons to be measured by non-contact biometric information acquiring means such as radar can be associated with each person to be measured with high accuracy.

(Second embodiment)
Next, a biological information processing apparatus according to the second embodiment will be described. It should be noted that, in the following description, the same reference numerals are given to the same configurations and processes as in the first embodiment, and detailed description thereof will be omitted.

In the biological information processing apparatus 100 according to the first embodiment, the regions 51, 52, 53 and the persons 31, 32, whose biological information are to be measured, are determined based on the difference in temporal change in the amplitude or phase of the generated biological information. 33, the biological information processing apparatus 100 according to the second embodiment measures the candidate regions 51, 52, 53 and the biological information based on the spatial distribution characteristics of the candidate regions 51, 52, 53. Each person 31, 32, 33 of interest is associated. Further, in the present embodiment, before the processing of the flowchart shown in FIG. The storage unit 113 stores in advance information on the characteristics of the spatial distribution of the candidate areas of each person (for example, the size of the candidate areas). Alternatively, the user of the biological information processing apparatus 100 may specify these pieces of information before the processing of this flowchart is started.

In this embodiment, in step S310, the biological information associating unit 126 determines whether the information generating unit 124 is The generated biometric information is associated with each person to be measured corresponding to each candidate area.

In the example shown in FIG. 5A, the sizes of the candidate areas 51, 52, and 53 are large, medium, and small, respectively. Therefore, the biometric information associating unit 126 determines the size of the person to be measured based on the similarity between the size of each candidate region and the size of the candidate region of each person to be measured, which is indicated by the feature information stored in advance in the storage unit 113 . 31, 32, 33 and the biometric information obtained from the candidate regions 51, 52, 53 are associated.

Therefore, according to the present embodiment, biometric information obtained from a plurality of persons to be measured by non-contact biometric information acquisition means such as radar can be accurately associated with each person to be measured.

(Third embodiment)
Next, a biological information processing apparatus according to the third embodiment will be described. It should be noted that, in the following description, the same reference numerals are given to the same configurations, processes, etc. as in the above-described embodiment, and detailed description thereof will be omitted.

In the present embodiment, any one of a plurality of persons 31, 32, and 33 is set as a measurement target of biometric information, and an object of the present embodiment is to associate the biometric information of the measurement target person with high accuracy. Here, as an example, the biometric information of the person 32 who is the child to be measured is associated. When the person whose biological information is to be measured is a child, there is a tendency that the sleeping position changes more frequently than that of an adult. Therefore, in the biological information processing apparatus 100 according to the third embodiment, based on the frequency of changes in the shape of each of the candidate areas 51, 52, and 53 as a feature of the spatial distribution of the candidate areas, the person 32 who is the child to be measured and the candidate area are determined. associated with the biometric information obtained from. Further, in the present embodiment, before the processing of the flowchart shown in FIG. Information related to the feature of the spatial distribution of the regions (for example, the frequency of change in the shape of the candidate region is higher than that of other candidate regions of persons to be measured) is stored in advance in the storage unit 113 . Alternatively, the user of the biological information processing apparatus 100 may specify these pieces of information before the processing of this flowchart is started.

In the present embodiment, in step S310, the biometric information associating unit 126 determines, as a feature of the spatial distribution of the candidate regions 51, 52, and 53, based on the frequency at which the shape of the candidate regions changes, the A candidate area whose shape changes frequently is identified, and biometric information obtained from the identified area is associated with the person 32 who is the child to be measured.

FIG. 6A shows an example of a state after the sleep phase of a person 32 who is a child to be measured has changed from the state shown in FIG. 1 in this embodiment. FIG. 6B shows an example of the states of candidate regions 51, 52, and 53 generated by the information generator 124 when the sleeping phase of the person 32 to be measured changes to the state shown in FIG. 6A. As the posture of the person 32 to be measured changes, the shape of the candidate region 52 generated by the information generation unit 124 also changes. Therefore, in step S310, the biometric information associating unit 126 determines the frequency of changes in the shape of the candidate regions 51, 52, and 53, and the frequency of changes in the shape of the candidate regions 51, 52, and 53. The candidate area 52 is identified as the candidate area corresponding to the person 32 who is the child and is the object of measurement, based on the degree of similarity with the frequency of change in the shape of the candidate area. Then, the biometric information association unit 126 associates the person 32 to be measured with the biometric information obtained from the candidate region 52 .

Therefore, according to the present embodiment, one of a plurality of persons is set as a measurement target of biological information, and the measurement target person (in the above example, the child measurement target person 32) and the biological information are accurately determined. can be associated. In the above example, it is assumed that the person 32 of the child to be measured is the person whose biometric information is to be measured. By determining the characteristics of the change in the shape of the candidate region based on the characteristics of an adult male (female) in It is also possible to specify the candidate regions 51 and 53 of the persons 31 and 33 to be measured, and to associate the persons 31 and 33 to be measured and the biological information. In the above example, the child candidate region 52 is identified based on the frequency of change in the shape of the candidate region. If the orientation of the shape of a candidate area is slanted with respect to other candidate areas, it may be determined as a child candidate area. In this case, the feature of the spatial distribution of the candidate regions for such determination is stored in the storage unit 113 .

(Fourth embodiment)
Next, a biological information processing apparatus according to a fourth embodiment will be described. It should be noted that, in the following description, the same reference numerals are given to the same configurations, processes, etc. as in the above-described embodiment, and detailed description thereof will be omitted.

In the present embodiment, any one of a plurality of persons 31, 32, and 33 is set as a measurement target of biometric information, and an object of the present embodiment is to associate the biometric information of the measurement target person with high accuracy. Here, as an example, the biometric information of the person 32 who is the child to be measured is associated. When the person whose biological information is to be measured is a child, the amount of displacement of the body surface during sleep is smaller than that of an adult, and thus the change in amplitude or phase in the biological information tends to be smaller than that of an adult. Therefore, in the biological information processing apparatus 100 according to the fourth embodiment, based on the characteristics of temporal changes in the amplitude or phase indicated by the biological information of each of the candidate regions 51, 52, and 53, the person 32 who is the child to be measured and the candidate regions are detected. associated with the biological information obtained from. Further, in the present embodiment, before the processing of the flowchart shown in FIG. The storage unit 113 stores in advance information about the characteristics of changes over time in the amplitude or phase indicated by the information (for example, the amplitude of the respiratory waveform). Alternatively, the user of the biological information processing apparatus 100 may specify these pieces of information before the processing of this flowchart is started.

For example, as shown in FIGS. 5B-5D, the amplitude of the respiratory waveform (FIG. 5C) of a child measurement subject 32 is smaller than that of an adult. Therefore, in step S310, the biological information associating unit 126 uses the amplitude of the respiratory waveform indicated by the biological information of the candidate regions 51, 52, and 53 generated in step S309 and the feature information pre-stored in the storage unit 113. , and the degree of similarity with the amplitude of the respiratory waveform of the person 32 to be measured, the candidate area 52 is specified as a candidate area corresponding to the person 32 to be measured who is a child. Then, the biometric information association unit 126 associates the person 32 to be measured with the biometric information obtained from the candidate region 52 .

Therefore, according to the present embodiment, one of a plurality of persons is set as a measurement target of biological information, and the measurement target person (in the above example, the child measurement target person 32) and the biological information are accurately determined. can be associated. In the above example, it is assumed that the person 32 of the child to be measured is the person whose biometric information is to be measured. By judging the characteristics of the temporal change in the amplitude or phase indicated by the biological information for each candidate region based on the respiratory waveform characteristics of an adult male (female) in Similar to the identification of the candidate areas 52 of 32, it is also possible to identify the candidate areas 51 and 53 of the persons 31 and 33 to be measured, and associate the persons 31 and 33 to be measured with the biological information.

(Fifth embodiment)
Next, a biological information processing apparatus according to a fifth embodiment will be described. It should be noted that, in the following description, the same reference numerals are given to the same configurations, processes, etc. as in the above-described embodiment, and detailed description thereof will be omitted.

In the present embodiment, any one of a plurality of persons 31, 32, and 33 is set as a measurement target of biometric information, and an object of the present embodiment is to associate the biometric information of the measurement target person with high accuracy. Here, as an example, the biometric information of the person 32 who is the child to be measured is associated. Further, the configuration example of the biological information processing apparatus 100 of the present embodiment is the same as that of FIG. The person 32 who is the child to be measured is specified by processing the signal obtained by the transmission/reception of the signal by the transmission/reception unit 111 until the child moves to . When the person whose biometric information is to be measured is a child, it is considered that there is a tendency that the walking speed tends to be slower than that of an adult and that the frequency of exhibiting irregular movements is high (restlessness, etc.).

Therefore, in this embodiment, when the persons 31, 32, and 33 enter the room 10 before the start of the flow processing shown in FIG. signals are transmitted and received by the transmitting/receiving unit 111 until the moving to the bed 20 . In the biological information processing apparatus 100, it is possible to detect that each of the persons 31, 32, and 33 has entered the room 10 using a well-known technique, and to start transmitting/receiving signals by the transmitting/receiving section 111. FIG. Further, in the present embodiment, before the processing of the flowchart shown in FIG. Information relating to characteristics of the tendency (for example, the speed of movement until moving onto the bed 20 is lower than that of other persons to be measured) is stored in advance in the storage unit 113 . Alternatively, the user of the biological information processing apparatus 100 may specify these pieces of information before the processing of this flowchart is started. Then, the biological information associating unit 126 processes the signal received by the receiving unit 122, and based on the motion reference of the person to be measured based on the movement tendency, the person 32 to be measured of the child on the bed 20 Identify the location of The storage unit 113 may store position information indicating the position of the person 32 to be measured for the identified child.

Then, in step S<b>310 , the biometric information association unit 126 identifies the candidate area 52 as the candidate area corresponding to the child person 32 to be measured based on the position information stored in the storage unit 113 . Then, the biometric information association unit 126 associates the person 32 to be measured with the biometric information obtained from the candidate region 52 .

Therefore, according to the present embodiment, one of a plurality of persons is set as a measurement target of biological information, and the measurement target person (in the above example, the child measurement target person 32) and the biological information are accurately determined. can be associated. In the above example, it is assumed that the person 32 of the child to be measured is the person whose biometric information is to be measured. By judging each person to be measured based on the characteristics of the actions related to adult males (females) in the biological information association unit 126, the biometric information association unit 126 can identify the candidate region 52 of the person 32 to be measured of a child. It is also possible to identify the candidate areas 51 and 53 of the persons 31 and 33 to be measured, and associate the persons 31 and 33 to be measured with the biological information.

(Sixth embodiment)
Next, a biological information processing apparatus according to a sixth embodiment will be described. It should be noted that, in the following description, the same reference numerals are given to the same configurations, processes, etc. as in the above-described embodiment, and detailed description thereof will be omitted.

In this embodiment, as shown in FIG. 7A, persons 31, 32, and 33 whose biological information is to be measured wear reflectors 41, 42, and 43 that reflect signals transmitted by the transmitter 121, respectively. . The reflectors 41, 42, and 43 are different in arrangement of reflectors such as metal plates. When the signals received by the receiver 122 are processed, the reflection patterns of the candidate regions 51, 52, and 53 are obtained as shown in FIG. 7B. are configured differently.

Therefore, in the present embodiment, in step S308, the information generation unit 124 determines the measurement target persons 31, 32, Thirty-three candidate regions 51, 52, 53 are identified. In step S<b>310 , the biological information association unit 126 associates the persons 31 , 32 , 33 to be measured with the biological information obtained from the candidate regions 51 , 52 , 53 .

According to this embodiment, a candidate area is specified by wearing a different reflector for each person whose biometric information is to be measured, and a plurality of persons to be measured are targeted by non-contact biometric information acquisition means such as radar. It is possible to accurately associate the biometric information obtained in the first step with each person to be measured. In addition, by using a reflector, the signal-to-noise ratio of the signal received by the receiving unit 122 from the person to be measured is improved, and the accuracy of identifying the candidate region and, in turn, the accuracy of associating the person to be measured with the biological information is improved. can also be expected. In addition, it is expected that the accuracy of associating the person to be measured and the candidate area is improved by wearing the reflector only on the person to be measured and the biological information to be associated with the person to be measured.

<Others>
The above-described embodiments are merely for illustrative description of configuration examples of the present invention. The present invention is not limited to the specific forms described above, and various modifications are possible within the technical scope of the present invention. Modifications of the above embodiment will be described below. In the following description, the same reference numerals are given to the same configurations and processes as in the above-described embodiment, and detailed description thereof will be omitted. Further, each of the above-described embodiments and modifications described below can be combined as appropriate.

(Modification 1)
A biological information processing apparatus 100 according to Modification 1 will be described below. In this modification, as shown in FIG. 8A, instead of the bed 20, a bed 200 provided with a pressure measuring element is used. As shown in FIG. 8B, bed 200 is constructed by stacking pressure measuring element group 202 and mattress 201 on base 203 . The pressure measuring element group 202 is configured by arranging the pressure measuring elements in a grid pattern on a plane. A signal indicating the position and the magnitude of the pressure is transmitted to the transmitter/receiver 111 of the biological information processing apparatus 100 . Therefore, the receiving unit 122 can receive signals indicating pressures applied to different positions by a plurality of persons to be measured.

FIG. 9A shows an example of a processing flow executed by the control unit 112 in this modified example. In step S<b>901 , the receiver 122 receives the position and pressure output signals of each pressure measurement element from the pressure measurement element group 202 . Next, in step S902, the control unit 112 determines whether or not the number of receptions of the output signal in step S901 has reached a predetermined number. Here, the reception of the output signal of the pressure measurement element group 202 is executed a predetermined number of times, so that the biological information of the person to be measured has a length of time that allows the characteristics of the person to be determined. For example, it is possible to ensure that the biological information has a length of time that includes several cycles of the respiratory signal. If the output signal has been received the predetermined number of times (S902: YES), the control unit 112 advances the process to step S903, and if the output signal has not been received the predetermined number of times (S902: NO), the process Return to step S901. Note that the predetermined number of receptions of the output signal may be appropriately determined according to the type of biometric information to be generated.

Next, in step S<b>903 , the information generation unit 124 generates information about the spatial distribution of pressure indicated by the pressure signal received by the reception unit 122 based on the output signal of the pressure measurement element group 202 . Then, in step S<b>904 , the information generation unit 124 identifies a candidate area of a person to be measured based on the output signal of the pressure measurement element group 202 . FIG. 9B shows an example of candidate regions identified by the information generation unit 124 in this modification. Here, regions 91, 92, and 93 correspond to persons 31, 32, and 33 to be measured.

Next, in step S905, the information generation unit 124 uses the output signals of the pressure measurement element group 202 for each of the candidate regions 91, 92, and 93 specified in step S903 to obtain respiratory waveforms from temporal changes in amplitude or phase. to generate biometric information indicating Then, in step S906, as in the first embodiment, the biometric information associating unit 126 compares the features of the biometric information corresponding to each candidate region generated in step S905 with each of the measurement targets stored in the storage unit 113. The persons 31, 32, and 33 to be measured and the biometric information are associated with each other based on the similarity of the features of the biometric information of the person.

According to this modification, biometric information is acquired by a non-contact method from a pressure measuring element or the like, and the biometric information obtained from a plurality of persons to be measured can be accurately associated with each person to be measured. can be done.

(Modification 2)
Next, the biological information processing apparatus 100 according to Modification 2 will be described. In the above embodiment, for example, when the position or posture of the person whose biometric information is to be measured is not suitable for acquiring biometric information, such as when the person is bending their waist or back, or when the reflector is not properly worn, Inappropriate situations may arise in identifying the correspondence relationship between the person to be measured and the biometric information, such as when the candidate area cannot be properly identified because the biometric information has not been determined. Therefore, in this modified example, when such an inappropriate situation occurs, it is possible to notify the user as an error.

FIG. 10 shows an example of a processing flow executed by the control unit 112 in this modified example. In this processing flow, the processing of steps S301 to S310 is the same as described above, so detailed description thereof will be omitted. In step S1001, based on the information of the spatial distribution generated in step S307, the control unit 112 determines whether there is a possibility that processing for specifying a candidate region of a person to be measured, processing for generating biometric information, and the like cannot be normally executed. It is determined whether or not an error has occurred. For example, if the shape of any one of the regions 51, 52, and 53 illustrated in FIG. 5A is abnormal, the control unit 112 normally executes the above process because the posture of the person to be measured is inappropriate. It is determined that an error has occurred because there is a possibility that it cannot be done. Further, for example, when the person to be measured is wearing a reflector as in the above-described sixth embodiment, the control unit 112 determines the shape of the reflection pattern among the regions 51, 52, and 53 illustrated in FIG. 7B. is abnormal, it is determined that an error has occurred since there is a possibility that the candidate area corresponding to the person to be measured cannot be correctly specified and the above process cannot be executed normally. Note that the criteria for judging that the shape of the region or the shape of the reflective pattern is abnormal may be appropriately determined according to the type of biometric information to be generated.

If the control unit 112 determines that an error has occurred (S1001; YES), the process proceeds to step S1002, and if it determines that an error has not occurred (S1002: NO), the process proceeds to step S308. . In step S1002, the control unit 112 functions as a notification unit, generates information indicating the determination result of S1001 and information indicating a solution for solving the error, outputs the information from the output unit 114 to, for example, the display device 300, and displays the information to the user. Notice. Examples of information indicating a solution to the error include information prompting the person to be measured to return to the correct posture, information prompting the person to wear a reflector correctly, and the like.

According to this modification, while suppressing such a possibility by notifying an abnormality that may hinder the acquisition of the biometric information of the person to be measured, the non-contact biometric information acquisition means such as radar The biometric information obtained from a plurality of persons to be measured and each person to be measured can be associated with high accuracy.

Furthermore, as another modification, in the above-described embodiment, it is assumed that the transmitting/receiving unit 111 transmits/receives radio waves to/from the person whose biometric information is to be measured. Ultrasonic waves, sound waves, light of an arbitrary wavelength, or the like may be transmitted/received to/from a person to be measured. Note that when ultrasonic waves or sound waves are transmitted/received to/from a person to be measured, in the above embodiment, the control unit 112 does not execute the process of calculating the distance using the signal transmitted/received by the transmission/reception unit 111. , the process of calculating the direction of arrival of the signal transmitted and received by the transmitting/receiving unit 111 is executed, and the person to be measured and the biological information are associated with each other.

As another modified example, in the first embodiment, the storage unit 113 stores in advance information about the respiratory waveform at the time of seizure occurrence of the person whose biological information is to be measured, and when the seizure of the person to be measured occurs, In step S310, the characteristics of the respiratory waveform obtained from the temporal change in amplitude or phase are compared with the characteristics of the respiratory waveform stored in the storage unit 113 to associate the person to be measured with the biological information. good. As another modification, in the fourth embodiment, if it is known in advance that the person 32 to be measured as a child is likely to have a seizure, the biometric information Based on the biological information generated by the information generating unit 124, the associating unit 126 may associate the measurement target person having the seizure with the biological information. As a result, it is possible to accurately associate the person 32 to be measured who has had a seizure with the biological information.

As another modification, in the sixth embodiment, in addition to or instead of the person whose biometric information is being measured wearing a reflector, an RFID (Radio Frequency Identification) tag is attached to the transmitter/receiver 111. acquires the information of the RFID tag, and in the above process, based on the acquired information, a candidate area corresponding to the person to be measured may be specified. Further, in the room 10, a switch or the like for each subject for notifying the biometric information processing apparatus 100 of the entry of a person to be measured is installed, and the transmitting/receiving unit 111 receives information regarding on/off of the switch. However, it communicates with an information terminal carried by a person to be measured, receives information from the information terminal, and identifies a candidate area corresponding to the person to be measured based on the received information in the above process. may Furthermore, the biological information processing apparatus 100 may receive input from the user or acquire information identifying a person to be measured who is present in the room 10 as prior information before measurement from the outside. As a result, it can be expected that the accuracy of association between the person to be measured and the biometric information will be improved.

In the above embodiment, the signal addition unit 123 performs signal addition by adding the IF signal obtained from the difference between the chirp signal transmitted by the transmission unit 121 and the signal received by the reception unit 122, and the information generation unit 123 performs signal processing on the added signals to generate biological information, but the signal addition unit 123 does not perform signal addition, and the information generation unit 124 combines the chirp signal transmitted by the transmission unit 121 with the chirp signal transmitted by the transmission unit 121. Biological information may be generated by performing signal processing on the IF signal obtained from the difference between the signals received by the receiving unit 122 .

(Modification 3)
A biological information processing apparatus 100 according to Modification 3 will be described below. In this modification, as an example, similar to the first embodiment shown in FIG. It is assumed that the persons 32 and 33 are lying down, and that the biological information processing device acquires biological information on breathing of each person to be measured during sleep.

FIG. 11 is a flow chart showing a processing flow example of the biological information processing apparatus 100. As shown in FIG. The processing of steps S301 to S306 is the same as in the first embodiment. More specifically, in step S304, the information generator 124 Fourier-transforms the received signal obtained by the FMCW method and decomposes it into complex signals for each distance bin. In step S305, the information generator 124 decomposes the received signal into complex signals for each azimuth bin using azimuth estimation by the phased array radar. Then, through the processing in steps S304 and S305, complex signal data (referred to as "Bscope") decomposed into two dimensions of distance.times.azimuth is generated. Then, in step S306, similarly to the first embodiment, the control unit 112 determines whether or not the number of acquisition times of the position information of the person to be measured has reached a predetermined number of times. If the acquisition count has reached the predetermined count, the process advances to step S1101.

In step S<b>1101 , the control unit 112 determines whether information specifying the number of persons to be measured present in the room 10 has been acquired. In this modification, the control unit 112 receives an input from the user via an input unit (not shown) of the biological information processing apparatus 100, or the transmitting/receiving unit 111 receives the information through communication with the outside, thereby acquiring the information. do. Further, the information may be stored in the storage unit 113 in advance before the processing of this flowchart is started, and the control unit 112 may acquire the information stored in the storage unit 113 . If information specifying the number of persons to be measured has been acquired (S1101: YES), the control unit 112 advances the process to step S1103. (S1101: NO), the process proceeds to step S1102.

In step S1102, the information generating unit 124 uses the complex number signal data (Bscope) for a plurality of frames to perform processing for detecting the position of a person present in the room 10, thereby determining the position of the measurement target for which the breathing extraction processing is to be performed. Determine the distance and bearing of a person. The information generating unit 124, as an estimating unit, compares changes in the time difference of the signal for each bin in the process of detecting the positions of the persons to be measured, and estimates the number and positions of the persons to be measured by machine learning. . Here, azimuth bins and/or distance bins correspond to an example of a predetermined unit of arrival azimuth and/or distance, but the predetermined unit may be one bin or may span a plurality of bins. .

Next, in step S1103, the information generation unit 124 uses the signals added in step S302 to generate biological information indicating a respiratory waveform from temporal changes in amplitude or phase.

Next, in step S1104, the information generation unit 124 serves as a classification unit based on the information specifying the number of persons to be measured determined to have been acquired in step S1101, or the number of persons to be measured estimated in step S1102. The biometric information generated in step 1103 is classified based on the information on the number of people and their positions.

Here, an example of classification of biometric information in this modified example will be described. It is assumed that the breathing rates of three persons 31, 32, and 33 to be measured in room 10 are 15 RR/min, 20 RR/min, and 10 RR/min, respectively. At this time, if the number of persons to be measured estimated in step S1101 is estimated to be three, the information generating unit 124 generates the biological information generated in step S1103 based on the difference in the respiration rate. Classify information. However, in the estimation processing in step S1102, the estimated number of persons to be measured may not match the number of persons to be measured in the room 10 due to omissions in detection or erroneous detection of persons to be measured. . In this case, for example, biological information that should be classified as a respiratory rate of 15 RR/min is included in biological information that is classified as a respiratory rate of 10 RR/min or 20 RR/min, or if the respiratory rate is 20 RR/min, 1 Biometric information that should be classified into one is divided and classified as biometric information of a plurality of persons. As a result, there is a possibility that the person to be measured cannot be correctly associated with the biological information.

Therefore, in this modified example, the control unit 112 , as an acquisition unit, acquires information specifying the number of persons to be measured who are present in the room 10 . Then, when the information generating unit 124 acquires the information specifying the number of persons to be measured, instead of the information on the number and positions of the persons to be measured estimated by the estimation processing in step S1102, the information is The number of people shown is used to classify the biometric information. As a result, biometric information can be classified using information with higher accuracy than information on the number of persons to be measured that is specified by reasoning.

Then, in step S1105, the biometric information associating unit 126 causes the information generating unit 12
4 is associated with each person to be measured. Specifically, the biometric information associating unit 126, based on the degree of similarity between the feature of each biometric information classified in step S1104 and the feature of the biometric information of each person to be measured stored in the storage unit 113, The persons 31, 32, 33 to be measured are associated with the biological information.

According to the biological information processing apparatus 100 according to the present modification, by obtaining information on the number of persons to be measured who are present in the room 10, the accuracy of associating the biological information with each person to be measured can be improved. can be expected to improve.

<Appendix 1>
A biological information processing device,
a signal receiver (111) that receives a signal related to biological information reflected from at least one person to be measured;
A candidate for calculating a direction of arrival of the signal from the received signal and/or a distance to the person to be measured, and using the calculated direction of arrival and/or the distance to identify a candidate region of the person to be measured. an area identification unit (125);
an information generation unit (124) that generates biometric information corresponding to the candidate region of the person to be measured from the received signal;
a biological information association unit (126) that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing apparatus characterized by comprising:

<Appendix 2>
A biological information processing device,
a signal receiver (111) that receives a signal related to biological information reflected from at least one person to be measured;
an information generating unit (124) that generates biological information of the person to be measured from the received signal;
a biological information associating unit (126) that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing apparatus characterized by comprising:

<Appendix 3>
A biological information processing device,
a signal receiving unit (111) for receiving signals relating to biological information reflected from a plurality of persons;
calculating the direction of arrival of the signal from the received signal and/or the distance to at least one of the plurality of persons to be measured, and using the calculated direction of arrival and/or the distance a candidate area identification unit (125) that identifies the person's candidate area;
an information generation unit (124) that generates biometric information corresponding to the candidate region of the person to be measured from the received signal;
a biological information associating unit (126) that associates the person to be measured with the generated biological information based on the generated biological information or the feature of the candidate region;
A biological information processing apparatus characterized by comprising:

<Appendix 4>
A biological information processing device,
a signal receiving unit (111) for receiving signals relating to biological information reflected from a plurality of persons;
an information generation unit (124) that generates biometric information of at least one of the plurality of persons to be measured from the received signal;
a biological information associating unit (126) that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing apparatus characterized by comprising:

<Appendix 5>
A biological information processing device,
a signal receiving unit (111) for receiving signals indicative of pressure applied to different positions by at least one person to be measured;
a candidate area identifying unit (125) that identifies a candidate area of the person to be measured based on the pressure distribution obtained from the received signal;
an information generating unit (124) that generates biological information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating unit (126) that associates the person to be measured with the generated biological information based on the generated biological information or the feature of the candidate region;
A biological information processing apparatus characterized by comprising:

<Appendix 6>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving a signal related to biological information reflected from at least one person to be measured;
A candidate for calculating a direction of arrival of the signal from the received signal and/or a distance to the person to be measured, and using the calculated direction of arrival and/or the distance to identify a candidate region of the person to be measured. an area identification step (S308);
an information generating step (S309) of generating biometric information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating step (S310) of associating the person to be measured with the generated biological information based on the generated biological information or the feature of the candidate region;
A biological information processing method, comprising:

<Appendix 7>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving a signal related to biological information reflected from at least one person to be measured;
an information generating step (S309) of generating biological information of the person to be measured from the received signal;
a biological information associating step (S310) of associating the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing method, comprising:

<Appendix 8>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving signals related to biological information reflected from a plurality of persons;
calculating the direction of arrival of the signal from the received signal and/or the distance to at least one of the plurality of persons to be measured, and using the calculated direction of arrival and/or the distance a candidate area identifying step (S308) of identifying the candidate area of the person;
an information generating step (S309) of generating biometric information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating step (S310) of associating the person to be measured with the generated biological information based on the generated biological information or the feature of the candidate region;
A biological information processing method characterized by comprising:

<Appendix 9>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving signals related to biological information reflected from a plurality of persons;
an information generating step (S309) of generating biometric information of at least one of the plurality of persons to be measured from the received signal;
a biological information associating step (S310) of associating the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing method characterized by comprising:

<Appendix 10>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S901) of receiving signals indicative of pressure exerted on different positions by at least one person to be measured;
a candidate area identifying step (S904) of identifying a candidate area of the person to be measured based on the pressure distribution obtained from the received signal;
an information generating step (S905) of generating biometric information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating step (S906) of associating the person to be measured with the generated biological information based on the generated biological information or features related to the candidate region;
A biological information processing method, comprising:

<Appendix 11>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving a signal related to biological information reflected from at least one person to be measured;
an estimating step of estimating, from the received signal, the number of persons to be measured by machine learning for each direction of arrival of the signal and/or distance to the person to be measured, for each predetermined unit of direction of arrival and/or distance to the person to be measured; (S1101);
an information generating step (S1102) of generating biological information of the person to be measured from the received signal;
a classification step (S1103) of classifying the generated biometric information of the person to be measured based on the estimated number of the persons to be measured;
a biometric information associating step (S1104) of associating the person to be measured with the classified biometric information based on the characteristics related to the biometric information of the person to be measured;
including
In the classification step, when information about the number of the persons to be measured is obtained, the generated persons to be measured are generated based on the obtained information instead of the estimated number of the persons to be measured. A biometric information processing method characterized by classifying the biometric information.

<Appendix 12>
A biological information processing method executed by a biological information processing apparatus,
a signal receiving step (S301) of receiving a signal related to biological information reflected from at least one person to be measured;
an information generating step (S1102) of generating biological information of the person to be measured from the received signal;
an acquisition step (S1103) of acquiring information about the number of persons to be measured;
a classification step (S1103) of classifying the generated biometric information of the person to be measured based on the acquired information about the number of the persons to be measured;
a biometric information associating step (S1104) of associating the person to be measured with the classified biometric information based on the characteristics related to the biometric information of the person to be measured;
A biological information processing method, comprising:

<Appendix 13>
A biological information processing device,
a signal receiver (111) that receives a signal related to biological information reflected from at least one person to be measured;
an estimating unit for estimating, from the received signal, the number of persons to be measured by machine learning for each direction of arrival of the signal and/or distance to the person to be measured, for each predetermined unit of direction of arrival and/or distance to the person to be measured; (124) and
an information generating unit (124) that generates biological information of the person to be measured from the received signal;
a classification unit (124) for classifying the generated biological information of the person to be measured based on the estimated number of the persons to be measured;
a biological information associating unit (126) that associates the person to be measured with the classified biological information based on the characteristics of the biological information of the person to be measured;
has
When information about the number of persons to be measured is acquired, the classification unit generates the persons to be measured based on the acquired information instead of the estimated number of persons to be measured. A biological information processing apparatus characterized by classifying the biological information of.

<Appendix 14>
A biological information processing device,
a signal receiver (111) that receives a signal related to biological information reflected from at least one person to be measured;
an information generating unit (124) that generates biological information of the person to be measured from the received signal;
an acquisition unit (112) for acquiring information about the number of persons to be measured;
a classification unit (124) for classifying the generated biological information of the person to be measured based on the acquired information about the number of the persons to be measured;
a biological information associating unit (126) that associates the person to be measured with the classified biological information based on the characteristics of the biological information of the person to be measured;
A biological information processing apparatus characterized by comprising:

Reference Signs List 100 biological information processing device, 111 transmission/reception unit, 112 control unit, 124 information generation unit, 125 candidate region identification unit, 126 biological information association unit

Claims (28)

A biological information processing device,
a signal receiver that receives a signal related to biological information reflected from at least one person to be measured;
A candidate for calculating a direction of arrival of the signal from the received signal and/or a distance to the person to be measured, and using the calculated direction of arrival and/or the distance to identify a candidate region of the person to be measured. an area identification unit;
an information generating unit that generates biological information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating unit that associates the person to be measured with the generated biological information based on the generated biological information or features related to the candidate region;
A biological information processing apparatus characterized by comprising: A biological information processing device,
a signal receiver that receives a signal related to biological information reflected from at least one person to be measured;
an information generating unit that generates biological information of the person to be measured from the received signal;
a biological information associating unit that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing apparatus characterized by comprising: A biological information processing device,
a signal receiving unit that receives signals related to biological information reflected from a plurality of persons;
calculating the direction of arrival of the signal from the received signal and/or the distance to at least one of the plurality of persons to be measured, and using the calculated direction of arrival and/or the distance a candidate area identification unit that identifies the candidate area of the person;
an information generating unit that generates biological information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating unit that associates the person to be measured with the generated biological information based on the generated biological information or features related to the candidate region;
A biological information processing apparatus characterized by comprising: A biological information processing device,
a signal receiving unit that receives signals related to biological information reflected from a plurality of persons;
an information generating unit that generates biological information of at least one of the plurality of persons to be measured from the received signal;
a biological information associating unit that associates the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing apparatus characterized by comprising: wherein the biometric information associating unit associates the person to be measured with the generated biometric information based on the degree of similarity of changes over time in the movement of the person to be measured indicated by the generated biometric information. 5. The biological information processing apparatus according to any one of claims 1 to 4. 6. The biological information processing apparatus according to claim 5, wherein the temporal change in movement of the person to be measured includes characteristics of the number of breaths per hour, the time ratio of expiration and inspiration, or the slope of the respiratory waveform. . 6. The biological information processing apparatus according to claim 5, wherein the temporal change in movement of said person to be measured includes features of a respiratory waveform and/or a heartbeat waveform. 6. The biological information processing apparatus according to claim 5, wherein the change over time in movement of said person to be measured is a change over time in movement of said person to be measured when said person to be measured has a seizure. The candidate region identifying unit calculates the direction of arrival of the signal from the received signal and/or the distance to the person to be measured, except when the person to be measured is having a seizure, and the calculated direction of arrival 6. The biometric information processing apparatus according to claim 5, wherein the candidate area of the person to be measured is specified using the distance and/or the distance. 2. The biometric information associating unit associates the person to be measured with the generated biometric information based on the characteristics of the spatial distribution of the candidate regions of the person to be measured. 5. The biological information processing apparatus according to any one of 4. 5. The apparatus according to claim 1, wherein the biological information associating unit associates the person to be measured with the generated biological information based on the magnitude of the amplitude indicated by the generated biological information. The biological information processing apparatus according to any one of items 1 and 2. 3. The biometric information associating unit associates the person to be measured with the generated biometric information on the basis of motion characteristics of the person to be measured obtained from the received signal. 5. The biological information processing apparatus according to any one of 1 to 4. 13. The biological information processing apparatus according to claim 12, wherein the motion feature of the person to be measured is a feature related to the sleeping position of the person to be measured. 13. The biological information processing apparatus according to claim 12, wherein the motion feature of the person to be measured is a feature relating to walking of the person to be measured. The signal receiving unit acquires a signal related to the biological information by receiving a signal reflected from the person to be measured wearing a reflector,
5. The biological information association unit according to any one of claims 1 to 4, wherein the biological information association unit associates the person to be measured with the generated biological information based on the characteristics of the signal reflected from the reflector. 2. The biological information processing device according to item 1. 16. The biometric information associating unit associates the person to be measured with the generated biometric information based on information identifying the person to be measured acquired in advance. The biological information processing apparatus according to any one of . The apparatus further comprises an output unit that outputs a notification that the person to be measured and the biometric information cannot be normally associated when the spatial distribution of the reflection points of the received signal is abnormal. Item 17. The biological information processing apparatus according to any one of Items 1 to 16. A biological information processing device,
a signal receiver for receiving signals indicative of pressure exerted at different locations by at least one person to be measured;
a candidate area identifying unit that identifies a candidate area of the person to be measured based on the pressure distribution obtained from the received signal;
an information generating unit that generates biological information corresponding to the candidate area of the person to be measured from the received signal;
a biological information associating unit that associates the person to be measured with the generated biological information based on the generated biological information or features related to the candidate region;
A biological information processing apparatus characterized by comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from at least one person to be measured;
A candidate for calculating a direction of arrival of the signal from the received signal and/or a distance to the person to be measured, and using the calculated direction of arrival and/or the distance to identify a candidate region of the person to be measured. a region identification step;
an information generating step of generating biological information corresponding to the candidate area of the person to be measured from the received signal;
a biometric information associating step of associating the person to be measured with the generated biometric information based on the generated biometric information or features related to the candidate region;
A biological information processing method, comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from at least one person to be measured;
an information generating step of generating biological information of the person to be measured from the received signal;
a biological information associating step of associating the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing method, comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from a plurality of persons;
calculating the direction of arrival of the signal from the received signal and/or the distance to at least one of the plurality of persons to be measured, and using the calculated direction of arrival and/or the distance a candidate area identifying step of identifying a candidate area of the person;
an information generating step of generating biological information corresponding to the candidate area of the person to be measured from the received signal;
a biometric information associating step of associating the person to be measured with the generated biometric information based on the generated biometric information or features related to the candidate region;
A biological information processing method, comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from a plurality of persons;
an information generating step of generating biometric information of at least one of the plurality of persons to be measured from the received signal;
a biological information associating step of associating the person to be measured with the generated biological information based on the characteristics of the generated biological information;
A biological information processing method, comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals indicative of pressure exerted at different locations by at least one person to be measured;
a candidate area identifying step of identifying a candidate area of the person to be measured based on the pressure distribution obtained from the received signal;
an information generating step of generating biological information corresponding to the candidate region of the person to be measured from the received signal;
a biometric information associating step of associating the person to be measured with the generated biometric information based on the generated biometric information or features related to the candidate region;
A biological information processing method, comprising: A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from at least one person to be measured;
an estimating step of estimating, from the received signal, the number of persons to be measured by machine learning for each direction of arrival of the signal and/or distance to the person to be measured, for each predetermined unit of direction of arrival and/or distance to the person to be measured; and,
an information generating step of generating biological information of the person to be measured from the received signal;
a classification step of classifying the generated biometric information of the person to be measured based on the estimated number of the persons to be measured;
a biometric information associating step of associating the person to be measured with the classified biometric information based on the characteristics related to the biometric information of the person to be measured;
including
In the classification step, when information about the number of the persons to be measured is obtained, the generated persons to be measured are generated based on the obtained information instead of the estimated number of the persons to be measured. A biometric information processing method characterized by classifying the biometric information. A biological information processing method executed by a biological information processing apparatus,
a signal receiving step of receiving signals relating to biological information reflected from at least one person to be measured;
an information generating step of generating biological information of the person to be measured from the received signal;
an obtaining step of obtaining information about the number of persons to be measured;
a classification step of classifying the generated biometric information of the person to be measured based on the obtained information about the number of the persons to be measured;
a biometric information associating step of associating the person to be measured with the classified biometric information based on the characteristics related to the biometric information of the person to be measured;
A biological information processing method, comprising: A program for causing a computer to execute each step of the biological information processing method according to any one of claims 19 to 25. A biological information processing device,
a signal receiver that receives a signal related to biological information reflected from at least one person to be measured;
an estimating unit for estimating, from the received signal, the number of persons to be measured by machine learning for each direction of arrival of the signal and/or distance to the person to be measured, for each predetermined unit of direction of arrival and/or distance to the person to be measured; and,
an information generating unit that generates biological information of the person to be measured from the received signal;
a classification unit that classifies the generated biometric information of the person to be measured based on the estimated number of the persons to be measured;
a biometric information associating unit that associates the person to be measured with the classified biometric information based on characteristics related to the biometric information of the person to be measured;
has
When information about the number of persons to be measured is acquired, the classification unit generates the persons to be measured based on the acquired information instead of the estimated number of persons to be measured. A biological information processing apparatus characterized by classifying the biological information of. A biological information processing device,
a signal receiver that receives a signal related to biological information reflected from at least one person to be measured;
an information generating unit that generates biological information of the person to be measured from the received signal;
an acquisition unit that acquires information about the number of persons to be measured;
a classification unit that classifies the generated biometric information of the person to be measured based on the acquired information about the number of the persons to be measured;
a biometric information associating unit that associates the person to be measured with the classified biometric information based on characteristics related to the biometric information of the person to be measured;
A biological information processing apparatus characterized by comprising:

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