CN118159188A

CN118159188A - Biological information processing device, biological information processing method, and program

Info

Publication number: CN118159188A
Application number: CN202280071668.8A
Authority: CN
Inventors: 小泽尚志; 矢和田将贵; 村井彬人; 谷本雄大; 松浦圭记; 小端顺二; 岩出彩花; 川上莉穗; 齐藤启介
Original assignee: Omron Corp
Current assignee: Omron Corp
Priority date: 2021-11-04
Filing date: 2022-10-25
Publication date: 2024-06-07

Abstract

The biological information processing device includes: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; a candidate region specifying unit that calculates an arrival azimuth of the signal and/or a distance to the person to be measured from the received signal, and specifies a candidate region of the person to be measured using the calculated arrival azimuth and/or the distance; an information generating unit that generates biological information corresponding to the candidate region of the person to be measured based on the received signal; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the generated biological information based on the acquired position information.

Description

Biological information processing device, biological information processing method, and program

Technical Field

The present invention relates to a technique for processing biological information.

Background

A technique of acquiring biological information of a person to be measured using a non-contact means such as various sensors and radar, and associating the acquired biological information with the person to be measured has been put to practical use. For example, patent document 1 proposes the following technique: the person to be measured is identified from the image generated by the imaging element, and the biological information of the person to be measured acquired separately is associated with the identified person to be measured.

Prior art literature

Patent literature

Patent document 1: japanese patent application laid-open No. 2019-152914

Disclosure of Invention

Technical problem to be solved by the invention

However, in the related art, since the person to be measured is identified based on the features such as the pattern of the bedding used by the person to be measured, there is a possibility that the person to be measured cannot be associated with each other with high accuracy when the bedding of the same pattern is used by a plurality of persons to be measured. In addition, although the identification of the person to be measured is performed by face authentication in the related art, for example, if the face of the person to be measured is covered or the face moves to a position where the imaging device cannot capture the image when acquiring the biometric information of the person to be measured while sleeping, the face authentication may not be performed normally.

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

Technical scheme for solving problems

In order to achieve the above object, the present invention adopts the following configuration.

A biological information processing apparatus according to an aspect of the present invention includes: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; a candidate region specifying unit that calculates an arrival azimuth of the signal and/or a distance to the person to be measured from the received signal, and specifies a candidate region of the person to be measured using the calculated arrival azimuth and/or the calculated distance; an information generating unit that generates biological information corresponding to the candidate region of the person to be measured based on the received signal; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the generated biological information based on the acquired position information. Alternatively, a biological information processing apparatus according to an aspect of the present invention includes: a signal receiving unit that receives signals related to biological information reflected from a plurality of persons; a candidate region specifying unit that calculates an arrival direction of the signal and/or a distance to a person to be measured from at least one of the plurality of persons based on the received signal, and specifies a candidate region of the person to be measured using the calculated arrival direction and/or distance; an information generating unit that generates biological information corresponding to the candidate region of the person to be measured based on the received signal; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the generated biological information based on the acquired position information. Thus, the biometric information obtained by the non-contact biometric information acquisition means for the person to be measured can be associated with the person to be measured with high accuracy.

The positional information of the person to be measured may be positional information obtained by optically measuring the outline shape of the person to be measured. The positional information of the person to be measured may be positional information obtained by measuring a distribution of pressures applied to different positions by the person to be measured. The positional information of the person to be measured may be positional information obtained by measuring a body temperature distribution of the person to be measured. The position information of the person to be measured may be position information obtained by measuring a distribution of a space occupied by the person to be measured. The position information of the person to be measured may be position information obtained by measuring a sound generated by the person to be measured and a position where the sound is generated. The position information of the person to be measured may be position information indicating a space occupied by the person to be measured at the time of measurement. The position information of the person to be measured may be position information determined based on a detected position of a tag attached to the person to be measured, the tag having identification information of the person to be measured. Thus, the correspondence relationship between the person to be measured and the biological information can be determined with high accuracy using the characteristics of the biological information of the person to be measured based on the various pieces of position information.

The biological information associating unit may associate the person to be measured with the generated biological information based on the information of the person to be measured acquired in advance. This can be expected to improve the accuracy of the correlation between the person to be measured and the biological information. The biological information processing apparatus may further include an output unit that outputs a notification that the person to be measured cannot be normally associated with the biological information when the spatial distribution of the reflection points of the received signal is abnormal. Thus, it is possible to accurately correlate the biological information with the person to be measured while suppressing the possibility of abnormality that may cause an obstacle to the acquisition of the biological information of the person to be measured.

In addition, a biological information processing apparatus according to an aspect of the present invention includes: a signal receiving unit that receives signals indicating pressures applied to different positions by at least one person as a measurement target; a candidate region specifying unit that specifies a candidate region of the person to be measured based on a distribution of pressure obtained from the received signal; an information generating unit that generates biological information corresponding to the candidate region of the person to be measured based on the received signal; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the generated biological information based on the acquired position information. Thus, for example, the living body information can be associated with the person to be measured on the bed in which the pressure measuring element is arranged in a planar shape with high accuracy.

In addition, a biological information processing apparatus according to an aspect of the present invention includes: a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured; an estimating unit that estimates, based on the received signal, the number of persons to be measured by machine learning for a predetermined unit of arrival direction and/or distance to the person to be measured and/or arrival direction and/or distance of the signal; an information generating unit that generates biological information of the person to be measured from the received signal; a classification unit configured to classify the generated biological information of the person to be measured based on the estimated number of persons to be measured; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the biological information after classification based on the acquired position information, wherein the classification unit classifies the generated biological information of the person to be measured based on the acquired information, instead of the estimated number of the person to be measured, when the information on the number of the person to be measured is acquired. In addition, a biological information processing apparatus according to an aspect of the present invention includes: a signal receiving unit 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 on the number of persons to be measured; a classification unit configured to classify the generated biological information of the person to be measured based on the acquired information on the number of persons to be measured; a position information acquisition unit that acquires position information of the person to be measured; and a biological information association unit that associates the person to be measured with the classified biological information based on the acquired position information. This makes it possible to classify biological information using information having higher accuracy than information of the number of persons as the measurement target determined by inference.

The present invention is also understood to be a biological information processing method including at least a part of the above-described processing, a program for causing a computer to execute the method, or a computer-readable storage medium storing such a program non-temporarily. The above-described constitution and processing can be combined with each other to constitute the present invention as long as no technical contradiction occurs.

Effects of the invention

According to the present invention, it is possible to correlate biological information acquired from a person to be measured with high accuracy with the person to be measured.

Drawings

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 an embodiment.

Fig. 3 is a block diagram showing an example of a biological information processing apparatus according to an embodiment.

Fig. 4 is a flowchart showing an example of a processing flow of the biological information processing apparatus according to the embodiment.

Fig. 5 (a) is a diagram showing an example of a candidate region of a person to be measured in one embodiment, fig. 5 (B) is a diagram showing an example of position information of the person to be measured in one embodiment, and fig. 5 (C) to 5 (E) are diagrams showing examples of biological information of the person to be measured in one embodiment.

Fig. 6 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to one embodiment, and fig. 6 (B) is a diagram showing an example of a candidate region of a person to be measured in one embodiment.

Fig. 7 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to one embodiment, and fig. 7 (B) is a diagram showing an example of a candidate region of a person to be measured in one embodiment.

Fig. 8 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to one embodiment, and fig. 8 (B) is a diagram showing an example of a candidate region of a person to be measured in one embodiment.

Fig. 9 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to one embodiment, and fig. 9 (B) is a diagram showing an example of a candidate region of a person to be measured in one embodiment.

Fig. 10 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to one embodiment, and fig. 10 (B) is a diagram showing an example of a candidate region of a person to be measured in one embodiment.

Fig. 11 (a) is a diagram schematically showing a configuration example of a biological information processing apparatus according to a modification, and fig. 11 (B) is a diagram schematically showing a configuration example of a bed according to a modification.

Fig. 12 (a) is a flowchart showing an example of a processing flow of the biological information processing apparatus according to the modification, and fig. 12 (B) is a diagram showing an example of a candidate region of a person to be measured in the modification.

Fig. 13 is a flowchart showing an example of the flow of processing in the biological information processing apparatus according to the modification.

Fig. 14 is a flowchart showing an example of the flow of processing in the biological information processing apparatus according to the modification.

Detailed Description

< Application example >

An application example of the present invention will be described. In the related art, since the person to be measured is identified based on the image of the person to be measured, when a plurality of persons to be measured use the same bedding, the difference in the images of the persons to be measured is small, and therefore, there is a possibility that the person to be measured cannot be identified with high accuracy. In addition, in the related art, there is a possibility that the person to be measured cannot be accurately photographed by the photographing device according to the position of the person to be measured, and thus the face authentication cannot be performed normally.

Fig. 1 is a diagram schematically showing a use example of a biological information processing apparatus 100 to which the present invention is applied. In the example of use shown in fig. 1, three persons 31, 32, 33 as measurement targets of biological information are arranged on a bed 20 provided in a room 10. In addition, a biological information processing apparatus 100 and a Light Detection and ranging (Light Detection AND RANGING) scanner 150 are disposed 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 noncontact biological information sensing. The frequencies of the signals to be transmitted to the persons 31, 32, and 33 to be measured may be frequencies in the frequency band of 30GHz to 300GHz used for the millimeter wave radar, but frequencies in other frequency bands such as light, radio waves, acoustic waves, and ultrasonic waves may be used. The LiDAR scanner 150 is a device that measures the position of a person to be measured by the LiDAR technique.

Fig. 2 is a diagram showing a configuration example of the biological information processing apparatus 100. The biological information processing apparatus 100 includes a transmitting/receiving unit 111, a control unit 112, a storage unit 113, and an output unit 114. The transmitting/receiving unit 111 functions as a signal receiving unit that receives a signal related to biological information reflected from the person to be measured, and transmits/receives signals to/from the persons 31, 32, and 33 to be measured. The control unit 112 generates biological information of each person to be measured using the signals received by the transmitting/receiving unit 111 from the persons 31, 32, 33 to be measured. Details of the biological information generation process performed by the control unit 112 will be described later. The storage unit 113 stores various data such as signal data received by the transmitting/receiving unit 111, data used in processing performed by the control unit 112, and generated data. The output unit 114 notifies the user or outputs data related to the result to an external device according to the result of the processing performed by the control unit 112. The output unit 114 may be configured to: the data related to the biological information of the person to be measured can be output to an external device by various communication methods such as various wireless communication and wired communication.

The biological information processing apparatus 100 senses biological information of a plurality of persons to be measured in a noncontact manner using a transmitting/receiving means of signals such as a radio wave radar, an ultrasonic sensor, and an acoustic wave sensor, and determines acquired biological information of each person to be measured based on position 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 associated with the person to be measured with high accuracy.

< Description of embodiments >

An embodiment of the presently disclosed technology is described. In the present embodiment, as an example, the following is assumed: as shown in fig. 1, a biological information processing apparatus 100 and a bed 20 are disposed in a room 10, and a plurality of persons 31, 32, 33 as measurement targets of biological information lie on the bed 20, and biological information related to breathing of each person as measurement targets during sleep is acquired by the biological information processing apparatus. Here, it is assumed that the measurement target persons 31, 32, 33 constitute one family, which is female, child, and male, respectively. Here, it is assumed that the acquired biological information is biological information related to respiration of the person to be measured, but the acquired biological information may be biological information related to heartbeat, body movement, and the like.

Fig. 3 is a block diagram showing an example of the configuration of the biological information processing apparatus 100 according to the 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 a person to be measured and a receiving unit 122 that receives a signal reflected from the person to be measured. Further, the transceiver 111 communicates with the LiDAR scanner 150 to acquire position information of each person to be measured by the LiDAR scanner 150. The LiDAR scanner 150 is an example of a device that generates positional information of a person to be measured by optically measuring the outline shape of the person to be measured. Thus, even when the person to be measured cannot be accurately recognized by the conventional image recognition processing of the person to be measured due to reasons such as improper posture of the person to be measured, the bedding of each person to be measured being identical to each other, etc., the positional information of each person to be measured can be appropriately generated.

The control unit 112 further includes: a signal adding unit 123 that adds the signals received by the receiving unit 122 to perform signal addition; an information generation unit 124 that generates biological information by performing signal processing on the added signal; a candidate region specifying unit 125 that specifies a candidate region indicating the position of the person to be measured; and a biological information association unit 126 that associates biological information with each person to be measured. The biological information of each person of which the association is established by the biological information association unit 126 is output to the display device 300 by the output unit 114. Examples of the display device include a display and an information processing terminal (smart phone or the like).

The control unit 112 includes a CPU (Central Processing Unit: central processing unit), a RAM (Random Access Memory: random access Memory), a ROM (Read Only Memory), and the like, and performs control of each unit in the biological information processing apparatus 100, various information processing, and the like. The storage unit 113 stores programs executed by the control unit 112, various data used in processing executed by the control unit 112, and the like. The storage unit 113 is an auxiliary storage device such as a hard disk drive or a solid state drive, for example. The output unit 114 outputs the biological information of the person to be measured based on the processing of the control unit 112 to the display device 300. The biometric 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 any timing.

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 may be integrally configured with the display apparatus 300. At least a part of the functions of the biological information processing apparatus 100 may be realized by a computer on the cloud, or may be realized by a microcomputer such as a PLC (Programmable Logic Controller: programmable logic controller) or a single-board computer.

Fig. 4 is a flowchart showing an example of the processing flow of the biological information processing apparatus 100. As an example, after the power is turned on, the user operates the biometric information processing apparatus 100 to instruct the start of the processing flow of fig. 4, thereby executing the processing of fig. 4. Before the start of the processing of the present flowchart, information indicating the persons 31, 32, and 33 to which the biological information is to be acquired and feature information related to the features of the biological information of the persons 31, 32, and 33 to be measured are stored in the storage 113 in advance. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart. The characteristic information of the biological information of each person to be measured is information for associating the biological information generated by the biological information processing apparatus 100 through a process described later with each person to be measured, and in the present embodiment, is information indicating a characteristic of the outline shape of the body of each person to be measured as an example. With reference to fig. 4, a description will be given of a specific process of biological information of a person to be measured, which is executed in the biological information processing apparatus 100.

In step S301, the transmitting unit 121 transmits a chirp signal to the persons 31, 32, and 33 to be measured of the biological information on the bed 20. The transmission scheme such as the frequency band, the up-chirp, and the down-chirp of the chirp signal transmitted by the transmission unit 121 may be appropriately set. Here, as an example, an array of an FMCW (frequency continuous modulation) system, a sampling period of transmission and reception of about 100 μs, and 8ch antennas is used. Then, the receiving unit 122 receives the signals reflected from the measurement target persons 31, 32, and 33. Next, in step S302, the signal adder 123 adds up the IF signal obtained by the difference between the chirp signal transmitted by the transmitter 121 and the signal received by the receiver 122.

In step S303, the control unit 112 determines whether or not the transmission/reception of the chirp to/from the person 31, 32, 33 to be measured in step S301 has been performed a predetermined number of times. Here, by performing transmission and reception of the chirp a predetermined number of times, the accuracy of the biological information of the person to be measured generated by the processing described later can be ensured. The control unit 112 advances the process to step S304 when the predetermined number of times of transmission/reception of the chirp is performed (yes in S303), and returns the process to step S301 when the predetermined number of times of transmission/reception of the chirp is performed (no in S303). The predetermined number of times of transmission and reception of the chirp may be appropriately determined according to the type of the generated biological information.

In step S304, the information generating unit 124 calculates the distance to the transmitting/receiving unit 111 (the biological information processing apparatus 100) using the signal added in step S302. Specifically, the information generating unit 124 calculates the distance to the position at which the signal is reflected, from different frequency spectrums obtained by performing the AD conversion and then the fourier transform (FFT) on the IF signal added to the signal in step S302.

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

Next, in step S306, the transceiver 111 acquires the positional information of the measurement target persons 31, 32, and 33 measured by the LiDAR scanner 150. Next, in step S307, the information generating section 124 generates information on the spatial distribution of the reflection points received by the receiving section 122 based on the distances and orientations calculated in steps S304 and S305. Then, in step S308, the information generating unit 124 determines candidate regions of the person to be measured based on the information on the spatial distribution of the reflection points.

Fig. 5 (a) shows an example of the candidate region specified by the information generating unit 124 based on the information on the spatial distribution of the reflection points in the present embodiment. The areas 51, 52, 53 correspond to the characters 31, 32, 33 to be measured. Fig. 5 (B) shows an example of the positional information of the measurement target persons 31, 32, and 33 received by the transceiver 111 from the LiDAR scanner 150 in the present embodiment. As shown in fig. 5 (B), point groups 201, 202, 203 indicating the outline shapes of the persons 31, 32, 33 to be measured are output from the LiDAR scanner 150 as position information. As shown in the figure, dot groups 201 (size: medium), 202 (size: small), and 203 (size: large) corresponding to the sizes of the persons 31, 32, and 33 to be measured are obtained.

Next, in step S309, the information generating unit 124 generates biological information indicating a respiratory waveform from the temporal changes in amplitude or phase using the signal added in step S302 for each of the candidate regions 51, 52, 53 determined in step S308. Fig. 5 (C), 5 (D), and 5 (E) are examples of graphs showing the time-dependent changes in the amplitude or phase (breathing waveform) in the candidate regions 51, 52, 53 in the present embodiment. As shown in fig. 5 (C), 5 (D), and 5 (E), biological information indicating respiratory waveforms with different amplitude or phase changes for each candidate region 51, 52, 53 is obtained.

Then, in step S310, the biological information associating unit 126 associates the measurement object persons 31, 32, 33 with the biological information based on the similarity between the feature of the contour shape of the body of the measurement object person 31, 32, 33 indicated by the position information of the measurement object person 31, 32, 33 measured by the LiDAR scanner 150 acquired in step S306 and the feature of the contour shape of the body of the measurement object person 31, 32, 33 stored in the storage unit 113. For example, the biological information association unit 126 determines that the point group 201 is the outline shape of the person 31 to be measured based on the feature (size: middle) of the outline shape shown in the point group 201, and associates biological information obtained from the candidate region 51 corresponding to the position of the point group 201 with the person 31 to be measured. Similarly, the biological information associating unit 126 associates the biological information obtained from the candidate areas 52 and 53 with the persons 32 and 33 to be measured, respectively.

According to the present embodiment, based on the positional information of each person of the measurement object obtained by optically measuring the contour shape of each person of the measurement object by the LiDAR scanner, it is possible to correlate the biological information obtained by the non-contact biological information acquisition means such as radar for each person of the measurement object with high accuracy.

(Second embodiment)

Next, a biological information processing apparatus according to a second embodiment will be described. In the following description, the same components, processes, and the like as those of the first embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

In the biological information processing apparatus 100 according to the first embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information of the persons to be measured, which is obtained by optically measuring the outline shape of the persons to be measured of the biological information by the LiDAR scanner, but in the biological information processing apparatus 100 according to the second embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the characteristic information of the pressure distribution obtained from the persons to be measured of the biological information on the body pressure sensor. In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 to which the biological information is to be acquired and information on the characteristics (for example, pressure distribution) of the biological information of each person to which the biological information is to be acquired, which is obtained from the body pressure sensor, are stored in the storage unit 113 in advance. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 6 (a) shows a use example of the biological information processing apparatus 100 according to the present embodiment. As shown in fig. 6 (a), a body pressure sensor 160 is disposed on the bed 20, and the measurement target persons 31, 32, 33 lie on the body pressure sensor 160. The body pressure sensor 160 measures the distribution of pressure applied to different positions by each person to be measured. Then, the characteristic information indicating the pressure distribution of each of the persons 31, 32, and 33 to be measured on the body pressure sensor 160 is output to the biological information processing apparatus 100. The transmitting/receiving unit 111 acquires the characteristic information of the pressure distribution of each person to be measured, which is measured by the body pressure sensor 160.

In the present embodiment, in step S306, the transmitting/receiving unit 111 acquires characteristic information indicating the pressure distribution of the measurement target persons 31, 32, and 33 measured by the body pressure sensor 160. Fig. 6 (B) shows an example of the characteristic information of the pressure distribution of the measurement target persons 31, 32, 33 received from the body pressure sensor 160 by the transmitting/receiving unit 111 in the present embodiment. As shown in fig. 6B, areas 211 (size: medium), 212 (size: small), 213 (size: large) corresponding to the body sizes of the persons 31, 32, 33 to be measured and indicating the pressure distribution on the body pressure sensor 160 are output from the body pressure sensor 160 as position information.

Then, in step S310, the biological information associating unit 126 associates the measurement target persons 31, 32, 33 with the biological information based on the similarity between the characteristics of the pressure distribution of the measurement target persons 31, 32, 33 output from the body pressure sensor 160 acquired in step S306 and the characteristics of the pressure distribution of the measurement target persons 31, 32, 33 stored in the storage unit 113. For example, the biological information association unit 126 determines that the region 211 is the pressure distribution of the person 31 to be measured based on the characteristics (size: middle) of the region 211 indicating the pressure distribution, and associates the biological information obtained from the candidate region 51 corresponding to the position of the region 211 with the person 31 to be measured. Similarly, the biological information associating unit 126 associates the biological information obtained from the candidate areas 52 and 53 with the persons 32 and 33 to be measured, respectively.

Therefore, according to the present embodiment, it is possible to correlate, with high accuracy, biological information obtained by a non-contact type biological information acquisition means such as radar for a plurality of persons to be measured, with each person to be measured, based on position information of pressure distribution of each person to be measured obtained by a body pressure sensor. Alternatively, instead of or in addition to the above, the transmitting/receiving unit 111 may acquire information indicating the weight of each person to be measured from the body pressure sensor 160, and the biological information associating unit 126 may associate the biological information with each person to be measured based on the characteristic information of the pressure distribution of each person to be measured and/or the information indicating the weight of each person to be measured.

(Third embodiment)

Next, a biological information processing apparatus according to a third embodiment will be described. In the following description, the same components, processes, and the like as those of the above-described embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

In the biological information processing apparatus 100 according to the first embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information of the persons to be measured, which is obtained by optically measuring the outline shape of the persons to be measured of the biological information by the LiDAR scanner, but in the biological information processing apparatus 100 according to the third embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the characteristic information of the body temperature distribution of the persons to be measured of the biological information measured by the thermal image sensor. In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 whose biological information is to be measured and information on the characteristics (for example, the body temperature distribution) of each of the biological information of the persons obtained from the thermal image sensor are stored in advance in the storage unit 113. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 7 (a) shows a use example of the biological information processing apparatus 100 according to the present embodiment. As shown in fig. 7 (a), a thermal image sensor 170 is disposed in the room 10. The thermal image sensor 170 measures the body temperature of each person 31, 32, 33 to be measured, and outputs characteristic information indicating the body temperature distribution of each person 31, 32, 33 to be measured to the biological information processing device 100. The transmitting/receiving unit 111 acquires characteristic information of the body temperature distribution of each person to be measured, which is measured by the thermal image sensor 170.

In the present embodiment, in step S306, the transmitting/receiving unit 111 acquires characteristic information indicating the body temperature distribution of the measurement target persons 31, 32, and 33 measured by the thermal image sensor 170. Fig. 7 (B) shows an example of the characteristic information of the body temperature distribution of the measurement target persons 31, 32, 33 received from the thermal image sensor 170 by the transmitting/receiving unit 111 in the present embodiment. As shown in fig. 7B, areas 221 (size: medium), 222 (size: small), 223 (size: large) representing the body temperature distribution corresponding to the body sizes of the persons 31, 32, 33 to be measured are output from the thermal image sensor 170 as position information.

Then, in step S310, the biological information associating unit 126 associates the measurement object persons 31, 32, 33 with the biological information based on the similarity between the characteristics of the body temperature distribution of the measurement object persons 31, 32, 33 output from the thermal image sensor 170 acquired in step S306 and the characteristics of the body temperature distribution of the measurement object persons 31, 32, 33 stored in the storage unit 113. For example, the biological information association unit 126 determines that the region 221 is the body temperature distribution of the person 31 to be measured based on the characteristics (size: middle) of the region 221 indicating the body temperature distribution, and associates the biological information obtained from the candidate region 51 corresponding to the position of the region 221 with the person 31 to be measured. Similarly, the biological information associating unit 126 associates the biological information obtained from the candidate areas 52 and 53 with the persons 32 and 33 to be measured, respectively.

Therefore, according to the present embodiment, it is possible to correlate, with high accuracy, biological information obtained by a non-contact type biological information acquisition means such as radar for a plurality of persons to be measured, with each person to be measured, based on position information of the body temperature distribution of each person to be measured obtained by a thermal image sensor. Alternatively, instead of or in addition to the above, the transceiver 111 may acquire information indicating the body temperature of each person to be measured from the thermal image sensor 170, and the biological information associating unit 126 may associate the biological information with each person to be measured based on the characteristic information of the body temperature distribution of each person to be measured and/or the information indicating the body temperature of each person to be measured.

(Fourth embodiment)

Next, a biological information processing apparatus according to a fourth embodiment will be described. In the following description, the same components, processes, and the like as those of the above-described embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

In the biological information processing apparatus 100 according to the first embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information of the persons to be measured, which is obtained by optically measuring the outline shape of the persons to be measured in the biological information by the LiDAR scanner, but in the biological information processing apparatus 100 according to the fourth embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the characteristic information of the spatial distribution occupied by the persons to be measured in the biological information measured by the radar for detecting the spatial distribution by rotation, for example. In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 whose biological information is to be acquired and information on the characteristics (for example, the size of the spatial distribution occupied by the person to be measured) of the biological information of each person to be measured obtained from the radar for spatial distribution detection are stored in the storage unit 113 in advance. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 8 (a) shows a use example of the biological information processing apparatus 100 according to the present embodiment. As shown in fig. 8 (a), a radar 180 for detecting spatial distribution is disposed in the room 10. The radar 180 measures the spatial distribution occupied by each person 31, 32, 33 to be measured, and outputs characteristic information indicating the spatial distribution of each person 31, 32, 33 to be measured to the biological information processing device 100. The transmitting/receiving unit 111 acquires the characteristic information of the spatial distribution occupied by each person of the object to be measured, which is measured by the radar 180.

In the present embodiment, in step S306, the transmitting/receiving unit 111 acquires characteristic information indicating the spatial distribution occupied by the persons 31, 32, and 33 to be measured by the radar 180. Fig. 8 (B) shows an example of the characteristic information of the spatial distribution occupied by the measurement target persons 31, 32, 33 received from the radar 180 by the transmitting/receiving unit 111 in the present embodiment. As shown in fig. 8B, the radar 180 outputs, as the position information, areas 231 (size: medium), 232 (size: small), 233 (size: large) which correspond to the sizes of the bodies of the persons 31, 32, 33 to be measured and represent spatial distribution.

Then, in step S310, the biological information associating unit 126 associates the biological information with the persons 31, 32, and 33 to be measured based on the similarity between the characteristics of the spatial distribution of the persons 31, 32, and 33 to be measured, which are output from the radar 180 and the characteristics of the spatial distribution of the persons 31, 32, and 33 to be measured, which are stored in the storage unit 113, which are acquired in step S306. For example, the biological information association unit 126 determines that the region 231 is the body temperature distribution of the person 31 to be measured based on the characteristics (size: middle) of the region 231 representing the spatial distribution, and associates the biological information obtained from the candidate region 51 corresponding to the position of the region 231 with the person 31 to be measured. Similarly, the biological information associating unit 126 associates the biological information obtained from the candidate areas 52 and 53 with the persons 32 and 33 to be measured, respectively.

Therefore, according to the present embodiment, it is possible to correlate, with high accuracy, biological information obtained by a non-contact type biological information acquisition means such as a biological signal detection radar, for each person to be measured, based on position information of spatial distribution of each person to be measured obtained by the spatial distribution detection radar.

(Fifth embodiment)

Next, a biological information processing apparatus according to a fifth embodiment will be described. In the following description, the same components, processes, and the like as those of the above-described embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

In the biological information processing apparatus 100 according to the first embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information of the persons to be measured, which is obtained by optically measuring the outline shape of the persons to be measured in the biological information by the LiDAR scanner, but in the biological information processing apparatus 100 according to the fifth embodiment, the sounds, breath sounds, etc. of the persons to be measured in the biological information are measured by the array microphone, and the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the waveform of the sounds emitted from the persons to be measured and the characteristic information indicating the generation positions of the sounds, as an example. In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 whose biological information is to be measured and information on the characteristics (for example, waveforms of sounds or respiratory sounds) of the biological information of the respective persons to be measured obtained from the array microphone are stored in advance in the storage unit 113. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 9 (a) shows a use example of the biological information processing apparatus 100 according to the present embodiment. As shown in fig. 9 (a), an array microphone 190 is disposed in the room 10. The array microphone 190 measures sounds emitted from the respective persons 31, 32, and 33 to be measured in terms of azimuth, and outputs waveforms of the sounds and information indicating the generation positions of the sounds to the biological information processing apparatus 100.

In the present embodiment, in step S306, the transmitting/receiving unit 111 acquires information indicating the generation positions of the sounds generated by the persons 31, 32, and 33 to be measured, which are measured by the array microphone 190. Fig. 9 (B) shows an example of the position information indicating the generation position of the sound generated by the measurement target persons 31, 32, 33, which is received from the array microphone 190 by the transmitting/receiving unit 111 in the present embodiment. As shown in fig. 9 (B), the positions of the generation positions 241, 242, 243 indicating the sounds of the persons 31, 32, 33 to be measured are output from the array microphone 190 as position information.

Then, in step S310, the biological information associating unit 126 determines that the sound generation positions 241, 242, 243 are the sound or the breathing sound generated by the measurement target persons 31, 32, 33, respectively, based on the similarity between the waveforms of the sounds generated by the measurement target persons 31, 32, 33 output from the array microphone 190 and the waveforms of the sounds or the breathing sound generated by the measurement target persons 31, 32, 33 stored in the storage unit 113, and associates the biological information obtained from the candidate areas 51, 52, 53 corresponding to the sound generation positions 241, 242, 243 with the measurement target persons 31, 32, 33, respectively, acquired in step S306.

Therefore, according to the present embodiment, it is possible to correlate, with high accuracy, biological information obtained by a non-contact biological information acquisition means such as radar for a plurality of persons to be measured, with each person to be measured, based on position information indicating a position where sound is generated by each person to be measured, obtained by an array microphone.

(Sixth embodiment)

Next, a biological information processing apparatus according to a sixth embodiment will be described. In the following description, the same components, processes, and the like as those of the above-described embodiment are denoted by the same reference numerals, and detailed description thereof is omitted.

In the biological information processing apparatus 100 according to the first embodiment, the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information of the persons to be measured, which is obtained by optically measuring the outline shape of the persons to be measured of the biological information by the LiDAR scanner, but in the biological information processing apparatus 100 according to the sixth embodiment, the persons to be measured of the biological information are attached with RFID (Radio Frequency Identification: radio frequency identification) tags, and the candidate areas 51, 52, 53 are associated with the persons 31, 32, 33 to be measured based on the positional information indicating the detection positions of the RFID tags. In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 to which the biological information is to be acquired and the ID information of the RFID tag of each person to be measured are stored in the storage unit 113. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 10 (a) shows a use example of the biological information processing apparatus 100 according to the present embodiment. As shown in fig. 10 (a), a detection device 210 of an RFID tag is disposed in the room 10. Further, the measurement target persons 31, 32, and 33 are respectively attached with RFID tags 251, 252, and 253 having different ID information (in the figure, "ID: a", "ID: B", and "ID: C"). The detection device 210 detects the RFID tags 251, 252, 253, and outputs information of each tag and position information indicating the detection position to the biological information processing device 100. The transmitting/receiving unit 111 acquires information on the RFID tag of each person to be measured detected by the detection device 210 and positional information indicating the detection position.

In the present embodiment, in step S306, the transceiver 111 acquires information on the RFID tags 251, 252, 253 of the persons 31, 32, 33 to be measured detected by the detection device 210 and positional information indicating the detection position. Fig. 10 (B) shows an example of information of the RFID tags 251, 252, 253 of the persons 31, 32, 33 to be measured, which the transmitting/receiving unit 111 receives from the detection device 210, and positional information indicating the detection position in the present embodiment. As shown in fig. 10 (B), the ID information of the RFID tags 251, 252, 253 of the persons 31, 32, 33 to be measured and the detection positions 261, 262, 263 are output from the detection device 210 as position information.

Then, in step S310, the biological information associating unit 126 determines that the person 31, 32, 33 to be measured is present at the detection positions 261, 262, 263 of the RFID tags 251, 252, 253, respectively, based on the comparison between the information of the RFID tags 251, 252, 253 of the person 31, 32, 33 to be measured acquired in step S306 and the ID information of the RFID tags of the person 31, 32, 33 to be measured stored in the storage unit 113, and associates the biological information obtained from the candidate areas 51, 52, 53 corresponding to the detection positions 261, 262, 263 with the person 31, 32, 33 to be measured, respectively.

Therefore, according to the present embodiment, it is possible to correlate, with high accuracy, biological information obtained by a non-contact type biological information acquisition means such as radar, for a plurality of persons to be measured, with each person to be measured, based on ID information of a tag obtained by detecting an RFID tag worn by the person to be measured and position information indicating the detection position.

< Others >

The above-described embodiments are merely exemplary embodiments of the present invention. The present invention is not limited to the above-described specific embodiments, and various modifications can be made within the scope of the technical idea. A modification of the above embodiment will be described below. In the following description, the same components and processes as those of the above embodiment are denoted by the same reference numerals, and detailed description thereof is omitted. The above embodiments and modifications described below can be appropriately combined and implemented.

Modification 1

Next, the biological information processing apparatus 100 according to modification 1 will be described. In this modification, as shown in fig. 11 (a), a bed 200 provided with a pressure measuring element is used instead of the bed 20. As shown in fig. 11 (B), the bed 200 is configured by stacking a pressure measuring element group 202 and a mattress 201 on a base 203. The pressure measurement element group 202 is configured by arranging pressure measurement elements in a grid shape on a plane, and thereby transmits signals indicating the positions of the persons 31, 32, and 33 to be measured of the biological information on the bed 200, the positions of the pressure measurement elements, and the magnitudes of the pressures to the transmitting/receiving unit 111 of the biological information processing apparatus 100. Therefore, the receiving unit 122 can receive signals indicating the pressures applied to the different positions by the plurality of persons to be measured. In the present modification, a LiDAR scanner 250 is disposed in the room 10. The LiDAR scanner 250 corresponds to the LiDAR scanner 150 of the first embodiment, and a detailed description thereof is omitted here.

In the present embodiment, before the start of the processing in the flowchart shown in fig. 4, information indicating the persons 31, 32, and 33 whose biological information is to be acquired and information on the characteristics (for example, the characteristics of the outline shape of the body of each person to be measured) of each person to be measured obtained from the LiDAR scanner 250 are stored in the storage unit 113. Alternatively, the information may be designated by the user of the biometric information processing apparatus 100 before the start of the processing of the present flowchart.

Fig. 12 (a) shows an example of a processing flow executed by the control unit 112 in this modification. In step S1201, the receiving unit 122 receives output signals of the position and pressure of each pressure measuring element from the pressure measuring element group 202. Next, in step S1202, the transmitting/receiving unit 111 acquires the positional information of the measurement target persons 31, 32, and 33 measured by the LiDAR scanner 250.

Next, in step S1203, the information generating unit 124 generates information on the spatial distribution of the pressure indicated by the pressure signal received by the receiving unit 122 based on the output signal of the pressure measurement element group 202. Then, in step S1204, the information generating unit 124 determines candidate regions of the person to be measured based on the output signals of the pressure measuring element group 202. Fig. 12 (B) shows an example of the candidate region specified by the information generating unit 124 in this modification. As shown in fig. 12 (B), candidate areas 271, 272, 273 are specified within XY orthogonal coordinates defining a plane on which the pressure measurement element group 202 is disposed. Here, the candidate areas 271, 272, 273 correspond to the measurement target characters 31, 32, 33.

Next, in step S1205, the information generating unit 124 generates biological information indicating a respiratory waveform from the change with time in amplitude or phase by using the output signals of the pressure measuring element group 202 for each of the candidate regions 271, 272, 273 specified in step S1204.

Then, in step S310, the biological information associating unit 126 associates the measurement object persons 31, 32, 33 with the biological information based on the similarity between the feature of the contour shape of the body of the measurement object person 31, 32, 33 indicated by the position information of the measurement object person 31, 32, 33 measured by the LiDAR scanner 250 acquired in step S306 and the feature of the contour shape of the body of the measurement object person 31, 32, 33 stored in the storage unit 113. For example, the biological information association unit 126 determines that the point group 201 is the outline shape of the person 31 to be measured based on the feature (size: middle) of the outline shape shown in the point group 201, and associates biological information obtained from the candidate region 51 corresponding to the position of the point group 201 with the person 31 to be measured. Similarly, the biological information associating unit 126 associates the biological information obtained from the candidate areas 52 and 53 with the persons 32 and 33 to be measured, respectively.

According to this modification, the biological information can be acquired from the pressure measuring cell or the like by a noncontact method, and the biological information obtained for the plurality of persons to be measured can be associated with each person to be measured with high accuracy.

Modification 2

Next, the biological information processing apparatus 100 according to modification 2 will be described. In the above-described embodiment, for example, when the position or posture of the person to be measured such as the person to be measured for the biological information is not suitable for acquiring the biological information, or when the candidate region cannot be properly specified due to the fact that the reflector is not properly worn, there is a possibility that an inappropriate situation occurs in specifying the correspondence relationship between the person to be measured and the biological information. Therefore, in the present modification, the user can be notified as an error when such an improper situation occurs.

Fig. 13 shows an example of a processing flow executed by the control unit 112 in this modification. In this processing flow, the processing in steps S301 to S310 is the same as that described above, and therefore, a detailed description thereof will be omitted. In step S1301, the control unit 112 determines whether or not there is an error, based on the spatial distribution information generated in step S307, whether or not there is a possibility that the determination process of the candidate region of the person to be measured, the generation process of the biological information, and the like cannot be executed normally.

For example, in the first embodiment, if the shape of any one of the dot groups 201 to 203 acquired from the LiDAR scanner 150 is abnormal, the above-described processing may not be normally executed due to the incorrect posture of the person to be measured, and the control unit 112 may determine that an error has occurred. In the second embodiment, for example, if the shape of any one of the areas 211 to 213 of the pressure distribution acquired from the body pressure sensor 160 is abnormal, the above-described processing may not be normally executed due to the incorrect posture of the person to be measured, and it may be determined that an error has occurred. In the fifth embodiment, for example, if the sound of the person to be measured cannot be recognized by the array microphone 190, the above-described processing may not be executed normally, and it may be determined that an error has occurred. The criteria for determining abnormality such as the dot group, the shape of the region, or the voice recognition may be appropriately determined according to the type of the generated biological information.

The control unit 112 advances the process to step S1302 when it is determined that an error has occurred (yes in S1301), and advances the process to step S308 when it is determined that an error has not occurred (no in S1302). In step S1302, the control unit 112 functions as a notification unit, generates information indicating the determination result of S1301 or information indicating the solution to eliminate the error, and outputs the generated information from the output unit 114 to, for example, the display device 300 to notify the user. Examples of the information indicating the solution to eliminate the error include information that urges adjustment of the position of the LiDAR scanner 150, information that urges recovery of the person to be measured to a correct posture, and information that urges test voice recognition with respect to the array microphone 190.

According to this modification, it is possible to suppress the possibility of abnormality that may cause an obstacle to the acquisition of the biological information of the person to be measured, and to correlate the biological information obtained by the non-contact biological information acquisition means such as radar for the person to be measured with each person to be measured with high accuracy.

Further, in the above-described embodiment, it is assumed that the transmitting/receiving unit 111 transmits and receives radio waves to and from the person to be measured of the biological information, but instead, the transmitting/receiving unit 111 may transmit and receive ultrasonic waves, acoustic waves, light of an arbitrary wavelength, or the like to and from the person to be measured. In the above embodiment, the control unit 112 performs the process of calculating the arrival direction of the signal transmitted and received by the transmitting and receiving unit 111 without performing the process of calculating the distance using the signal transmitted and received by the transmitting and receiving unit 111, and performs the association between the person to be measured and the biological information.

As another modification, the biological information processing apparatus 100 may receive, from the user, an input related to the position (sleeping area or the like) of the person 31, 32, 33 to be measured of the biological information as position information indicating the space occupied by the person to be measured at the time of measurement, and may perform association between the person 31, 32, 33 to be measured and the biological information using the correspondence between the candidate areas 251, 252, 253 and the generated biological information and the characteristic information of the person 31, 32, 33 to be measured stored in the storage unit 113, based on the received position information. In addition, a switch or the like for notifying the biological information processing apparatus 100 that the person to be measured enters each subject in the room may be provided in the room 10, and the transmitting/receiving unit 111 may receive information on the on/off state of the switch, or the transmitting/receiving unit 111 may communicate with an information terminal carried by the person to be measured and receive information from the information terminal, so that the candidate area corresponding to the person to be measured may be determined based on the received information in the above embodiment. Further, the biological information processing apparatus 100 may receive information of a person to be measured existing in the room 10, which is input by a user, or may acquire the information from the outside as advance information before measurement. This can be expected to improve the accuracy of the correlation between the person to be measured and the biological information.

In the above embodiment, the signal adder 123 adds the signal to the IF signal obtained by the difference between the chirp signal transmitted by the transmitter 121 and the signal received by the receiver 122, and the information generator 124 performs signal processing on the added signal to generate the biological information, but the signal adder 123 may not add the signal, and the information generator 124 may perform signal processing on the IF signal obtained by the difference between the chirp signal transmitted by the transmitter 121 and the signal received by the receiver 122 to generate the biological information.

Modification 3

Next, the biological information processing apparatus 100 according to modification 3 will be described. In this modification, as an example, the following is assumed as in the first embodiment shown in fig. 1: a biological information processing apparatus 100, a LiDAR scanner 150, and a bed 20 are disposed in the room 10, and a plurality of persons 31, 32, 33 as measurement targets of biological information lie on the bed 20, and biological information related to breathing of each person as measurement targets during sleep is acquired by the biological information processing apparatus.

Fig. 14 is a flowchart showing an example of the processing flow of the biological information processing apparatus 100. The processing of steps S301 to S306 is the same as that of the first embodiment. More specifically, in step S304, the information generating unit 124 performs fourier transform on the received signal obtained by the FMCW method, and decomposes the received signal into complex signals for each distance section. In step S305, the information generating unit 124 estimates the azimuth using the phased array radar, and decomposes the received signal into a plurality of signals for each azimuth section. Then, by the processing of these steps S304 and S305, data (referred to as "Bscope") of a complex signal decomposed into two dimensions of distance×azimuth is generated. In step S306, the transceiver 111 acquires the positional information of the persons 31, 32, and 33 to be measured by the LiDAR scanner 150, as in the first embodiment.

In step S1101, the control unit 112 determines whether or not information specifying the number of persons to be measured present in the room 10 is acquired. In the present modification, the control unit 112 receives an input from a user via an input unit, not shown, of the biological information processing apparatus 100, or the transmitting/receiving unit 111 receives the input by communication with the outside, thereby acquiring the information. The information may be stored in the storage unit 113 before the processing of the present flowchart is started, and the control unit 112 may acquire the information stored in the storage unit 113. The control unit 112 advances the process to step S1103 when information on the number of persons to be measured is acquired (S1101: yes), and advances the process to step S1102 when information on the number of persons to be measured is not acquired (S1101: no).

In step S1102, the information generating unit 124 performs a process of detecting the position of the person present in the room 10 by using the complex signal data (Bscope) of the plurality of frames, thereby determining the distance and the direction of the person to be measured, which is subjected to the breath extraction process. The information generating unit 124 serves as a estimating unit that estimates the number and position of the person to be measured by machine learning by comparing the change in the time difference of the signal for each section in the process of detecting the position of the person to be measured. Here, the azimuth section and/or the distance section corresponds to an example of the arrival azimuth and/or the distance of a predetermined unit, but the predetermined unit may be one section or may span a plurality of sections.

Next, in step S1103, the information generation unit 124 generates biological information representing a respiratory waveform from the time-dependent change in amplitude or phase using the signal added in step S302.

Next, in step S1104, the information generating unit 124 serves as a classifying unit that classifies the biological information generated in step S1103 based on the information on the number of persons to be measured determined that the information is acquired in step S1101 or based on the number of persons to be measured and the information on the positions of the persons to be measured estimated in step S1102.

An example of classification of biological information in the present modification will be described. It is assumed that the respiratory rates of the three persons 31, 32, 33 in the room 10 are 15RR/min, 20RR/min, and 10RR/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 classifies the biological information generated in step S1102 into biological information of three persons based on the difference in respiratory rate. However, in the estimation processing in step S1101, the estimated number of persons to be measured may not match the number of persons to be measured in the room 10 due to missing or false detection of the persons to be measured. In this case, for example, the biological information to be classified into the respiratory rate of 15RR/min is included in the biological information classified into the respiratory rate of 10RR/min or 20RR/min, or the biological information to be classified into one of the respiratory rate of 20RR/min is divided and classified into the biological information of a plurality of persons. As a result, there is a possibility that the person to be measured cannot be associated with the biological information accurately.

Therefore, in the present modification, the control unit 112 serves as an acquisition unit that acquires information for specifying the number of persons to be measured present in the room 10. When the information generating unit 124 acquires information specifying the number of persons to be measured, it classifies the biological information using the number of persons indicated by the information instead of the number and position of persons to be measured estimated by the estimation process in step S1102. This makes it possible to classify biological information using information having higher accuracy than information of the number of persons as the measurement target determined by inference.

Then, in step S1105, the biological information associating unit 126 associates the biological information generated by the information generating unit 124 with each person to be measured. Specifically, the biological information associating unit 126 associates the measurement object persons 31, 32, 33 with the biological information classified in step S1104 based on the similarity between the feature of the contour shape of the body of the measurement object person 31, 32, 33 indicated by the position information of the measurement object person 31, 32, 33 measured by the LiDAR scanner 150 acquired in step S306 and the feature of the contour shape of the body of the measurement object person 31, 32, 33 stored in the storage unit 113.

According to the biological information processing apparatus 100 of the present modification, by acquiring information on the number of persons to be measured in the room 10, it is possible to expect improvement in the accuracy of association between biological information and each person to be measured.

< Annex 1>

A biological information processing device is characterized by comprising:

a signal receiving unit (111) that receives a signal related to biological information reflected from at least one person to be measured;

A candidate region specifying unit (125) that calculates an arrival direction of the signal and/or a distance to the person to be measured from the received signal, and specifies a candidate region of the person to be measured using the calculated arrival direction and/or distance;

an information generation unit (124) that generates biological information corresponding to the candidate region of the person to be measured on the basis of the received signal;

a position information acquisition unit (111) that acquires position information of the person to be measured; and

And a biological information association unit (126) that associates the person to be measured with the generated biological information based on the acquired position information.

< Additional note 2>

A biological information processing device is characterized by comprising:

A signal receiving unit (111) that receives signals relating to biological information reflected from a plurality of persons;

a candidate region specifying unit (125) that calculates, from the received signal, an arrival direction of the signal and/or a distance to a person to be measured from at least one of the plurality of persons, and specifies a candidate region of the person to be measured using the calculated arrival direction and/or distance;

< Additional note 3>

A biological information processing device is characterized by comprising:

a signal receiving unit (111) that receives signals representing pressures applied to different positions by at least one person as a measurement target;

a candidate region specifying unit (125) that specifies a candidate region of the person to be measured from the distribution of the pressure obtained from the received signal;

< Additional note 4>

A biological information processing method executed by a biological information processing apparatus, comprising:

A signal receiving step (S301) for receiving a signal related to biological information reflected from at least one person as a measurement object;

a candidate region determination step (S308) for calculating an arrival direction of the signal and/or a distance to the person to be measured from the received signal, and determining a candidate region of the person to be measured using the calculated arrival direction and/or distance;

An information generation step (S309) for generating biological information corresponding to the candidate region of the person to be measured from the received signal;

a position information acquisition step (S306) for acquiring position information of the person to be measured; and

And a biological information association step (S310) of associating the person to be measured with the generated biological information based on the acquired position information.

< By-note 5>

A biological information processing method executed by a biological information processing apparatus, characterized by comprising:

A signal receiving step (S301) for receiving signals related to biological information reflected from a plurality of persons;

A candidate region determination step (S308) for calculating, from the received signal, an arrival azimuth of the signal and/or a distance to a person to be measured of at least one of the plurality of persons, and determining a candidate region of the person to be measured using the calculated arrival azimuth and/or distance;

< Additional note 6>

a step (S1101) of estimating the number of persons to be measured by machine learning from the arrival direction of the received signal and/or the distance to the person to be measured by a predetermined unit of arrival direction and/or distance;

an information generation step (S1102) of generating biological information of the person to be measured from the received signal;

a classification step (S1103) for classifying the generated biological information of the person of the measurement object according to the estimated number of persons of the measurement object;

A biological information association step (S1104) of associating the person to be measured with the classified biological information based on the acquired position information,

In the classifying step, when information on the number of persons to be measured is acquired, the generated biological information of the person to be measured is classified based on the acquired information, instead of the estimated number of persons to be measured.

< Additional note 7>

an acquisition step (S1103) of acquiring information on the number of persons to be measured;

a classification step (S1103) for classifying the generated biological information of the person to be measured, based on the acquired information on the number of persons to be measured;

And a biological information association step (S1104) of associating the person to be measured with the classified biological information based on the acquired position information.

< Additional note 8>

A biological information processing device is characterized by comprising:

A estimating unit (124) for estimating the number of persons of the object of measurement by machine learning from the arrival direction of the received signal and/or the distance to the person of the object of measurement by a predetermined unit of arrival direction and/or distance;

An information generation unit (124) that generates biological information of the person to be measured from the received signal;

a classification unit (124) that classifies the generated biological information of the person of the measurement object according to the estimated number of the person of the measurement object;

A biological information association unit (126) that associates the person to be measured with the classified biological information based on the acquired position information,

The classifying unit classifies the generated biological information of the person of the measurement object based on the acquired information, instead of the estimated number of the person of the measurement object when the information on the number of the person of the measurement object is acquired.

< Additional note 9>

A biological information processing device is characterized by comprising:

An acquisition unit (112) that acquires information on the number of persons to be measured;

A classification unit (124) that classifies the generated biological information of the person to be measured on the basis of the acquired information on the number of persons to be measured;

And a biological information association unit (126) that associates the person to be measured with the classified biological information based on the acquired position information.

Description of the reference numerals

100: A biological information processing device; 111: a transmitting/receiving unit; 112: a control unit; 124: an information generation unit; 125: a candidate region determination unit; 126: and a biological information association unit.

Claims

1. A biological information processing device is characterized by comprising:

a signal receiving unit that receives a signal related to biological information reflected from at least one person to be measured;

A candidate region specifying unit that calculates an arrival azimuth of the signal and/or a distance to the person to be measured from the received signal, and specifies a candidate region of the person to be measured using the calculated arrival azimuth and/or the distance;

An information generating unit that generates biological information corresponding to the candidate region of the person to be measured based on the received signal;

A position information acquisition unit that acquires position information of the person to be measured; and

And a biological information association unit that associates the person to be measured with the generated biological information based on the acquired position information.

2. A biological information processing device is characterized by comprising:

A signal receiving unit that receives signals related to biological information reflected from a plurality of persons;

A candidate region specifying unit that calculates an arrival azimuth of the signal and/or a distance to a person to be measured from at least one of the plurality of persons from the received signal, and specifies a candidate region of the person to be measured using the calculated arrival azimuth and/or distance;

3. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information obtained by optically measuring the outline shape of the person to be measured.

4. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information obtained by measuring a distribution of pressures applied to different positions by the person to be measured.

5. The biological information processing apparatus according to claim 1 or 2, wherein,

The positional information of the person to be measured is positional information obtained by measuring a body temperature distribution of the person to be measured.

6. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information obtained by measuring a distribution of a space occupied by the person to be measured.

7. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information obtained by measuring a sound generated by the person to be measured and a generation position of the sound.

8. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information indicating a space occupied by the person to be measured at the time of measurement.

9. The biological information processing apparatus according to claim 1 or 2, wherein,

The position information of the person to be measured is position information specified based on a detection position of a tag worn by the person to be measured, the tag having identification information of the person to be measured.

10. The biological information processing apparatus according to any one of claims 1 to 9, wherein,

The biological information associating unit associates the person to be measured with the generated biological information based on the information of the person to be measured acquired in advance.

11. The biological information processing apparatus according to any one of claims 1 to 10, wherein,

The biological information processing device further includes an output unit that outputs a notification that the person to be measured cannot be normally associated with the biological information when the spatial distribution of the reflection points of the received signal is abnormal.

12. A biological information processing device is characterized by comprising:

A signal receiving unit that receives signals indicating pressures applied to different positions by at least one person as a measurement target;

a candidate region specifying unit that specifies a candidate region of the person to be measured based on a distribution of pressure obtained from the received signal;

13. A biological information processing method executed by a biological information processing apparatus, comprising:

A signal receiving step of receiving a signal related to biological information reflected from at least one person as a measurement object;

a candidate region determining step of calculating an arrival azimuth of the signal and/or a distance to the person to be measured from the received signal, and determining a candidate region of the person to be measured using the calculated arrival azimuth and the distance;

an information generation step of generating biological information corresponding to the candidate region of the person to be measured from the received signal;

a position information acquisition step of acquiring position information of the person to be measured; and

And a biological information association step of associating the person to be measured with the generated biological information based on the acquired position information.

14. A biological information processing method executed by a biological information processing apparatus, characterized by comprising:

a signal receiving step of receiving signals related to biological information reflected from a plurality of persons;

A candidate region determining step of calculating an arrival azimuth of the signal and/or a distance to a person to be measured of at least one of the plurality of persons from the received signal, and determining a candidate region of the person to be measured using the calculated arrival azimuth and/or the calculated distance;

15. A biological information processing method executed by a biological information processing apparatus, comprising:

A estimating step of estimating the number of persons of the measurement object by machine learning from the arrival direction of the received signal and/or the distance to the person of the measurement object in a predetermined unit based on the arrival direction and/or the distance of the received signal;

An information generation step of generating biological information of the person to be measured from the received signal;

A classification step of classifying the generated biological information of the person of the measurement object based on the estimated number of the person of the measurement object;

A biological information association step of associating the person to be measured with the classified biological information based on the acquired position information,

16. A biological information processing method executed by a biological information processing apparatus, comprising:

an acquisition step of acquiring information on the number of persons to be measured;

A classification step of classifying the generated biological information of the person to be measured based on the acquired information on the number of persons to be measured;

And a biological information association step of associating the person to be measured with the classified biological information based on the acquired position information.

17. A program for causing a computer to execute the steps of the biological information processing method according to any one of claims 13 to 16.

18. A biological information processing device is characterized by comprising:

a estimating unit that estimates the number of persons of the measurement object by machine learning from the arrival direction of the received signal and/or the distance to the person of the measurement object in a predetermined unit based on the arrival direction and/or the distance of the received signal;

An information generating unit that generates biological information of the person to be measured from the received signal;

A classification unit configured to classify the generated biological information of the person to be measured based on the estimated number of the person to be measured;

A biological information association unit that associates the person to be measured with the classified biological information based on the acquired position information,

19. A biological information processing device is characterized by comprising:

An acquisition unit that acquires information on the number of persons to be measured;

A classification unit configured to classify the generated biological information of the person to be measured based on the acquired information on the number of persons to be measured;

And a biological information association unit that associates the person to be measured with the classified biological information based on the acquired position information.