Information acquisition device, information acquisition method, and program

Abstract

To provide an information acquisition device capable of accurately acquiring biometric information of a subject.SOLUTION: An information acquisition device 10 which acquires biometric information of a subject on the basis of a biometric signal of the subject includes: a detection unit 13 which detects a first peak candidate group from the biometric signal using a first threshold and a second peak candidate group from the biometric signal using a second threshold different from the first threshold; a determination unit 14 which determines a biometric peak on the basis of the intervals between the peak candidates in the first peak candidate group and the peak candidates in the second peak candidate group; and a first acquisition unit 15 which acquires biometric information on the basis of the biometric peak. Each of the first and second thresholds is a threshold related to the peak width or peak height.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information acquiring device, an information acquiring method, and a program for acquiring biological information of a subject. [Background technology]

[0002] In order to obtain non-contact bio-information from a subject, a technique is known that detects the bio-signal of the subject based on the moving image obtained by imaging the subject. For example, when measuring pulse rate as bio-information, pulse waveform is detected as bio-signal. Then, pulse rate can be obtained from the number of peaks in the pulse waveform within a certain period of time.

[0003] Patent Document 1 discloses a method for extracting peaks contained in a predetermined frequency band from a pulse waveform using a bandpass filter. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2016-077539 A Summary of the Invention [Problem to be solved by the invention]

[0005] When detecting the pulse waveform of a subject based on a moving image of the subject, the pulse waveform may vary significantly due to the subject's movement or changes in light source. The variation of the pulse waveform due to the subject's movement or changes in light source is greater than the variation of the pulse waveform due to the subject's pulse. As a result, the peak indicating the pulse (the maximum or minimum value in the pulse waveform) becomes relatively small, and the high-frequency components in the pulse waveform increase. In this case, in the method of Patent Document 1, there is a risk that the peak indicating the pulse will be deleted together with other high-frequency components in the filter processing of the pulse waveform. If the peak indicating the pulse is deleted, the measurement accuracy of the pulse rate will decrease.

[0006] SUMMARY OF THE PRESENT DISCLOSURE An object of the present invention is to provide an information acquiring device capable of acquiring biological information of a subject with high accuracy. [Means for solving the problem]

[0007] An information acquisition device that acquires bioinformation of a subject based on a biosignal of the subject, comprising: a detection unit that detects a first group of peak candidates from the biosignal using a first threshold value and detects a second group of peak candidates from the biosignal using a second threshold value different from the first threshold value; a determination unit that determines a biopeak based on an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates; and a first acquisition unit that acquires the bioinformation based on the biopeak, wherein each of the first and second threshold values ​​is a threshold value related to a peak width or a peak height. Effect of the Invention

[0008] According to the present invention, it is possible to provide an information acquiring device capable of acquiring biological information of a subject with high accuracy. [Brief description of the drawings]

[0009] [Figure 1] FIG. 4 is a diagram showing an example of a biosignal and detected peaks. [Diagram 2] FIG. 1 is a block diagram of an information acquisition system according to a first embodiment. [Diagram 3] 4 is a flowchart showing a process of the information acquisition system according to each embodiment. [Figure 4] FIG. 1 is a diagram illustrating a feature amount in a biological signal. [Diagram 5] FIG. 11 is a block diagram of an information acquiring system according to a second embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings. Note that each drawing may be drawn at a scale different from the actual scale for convenience. Also, as shown in each drawing, the same reference numerals are given to the same components, and duplicated descriptions are omitted. Note that the following embodiments do not limit the invention according to the claims. Although multiple features are described in the embodiments, not all of these multiple features are necessarily essential to the invention, and multiple features may be combined in any manner.

[0011] There is a technology that detects reflected light from the skin surface of a subject as a biosignal to obtain bioinformation of the subject without contacting the subject. The blood flow rate of the blood vessels of a living subject periodically increases and decreases according to the pulse and breathing. This is due to the characteristics of the light absorption rate of hemoglobin contained in blood.

[0012] Hemoglobin in blood has a high absorptivity for light of 495 to 570 nm (green wavelength) and 800 to 1000 nm (infrared wavelength). Therefore, by acquiring the change over time in the amount of light (especially green wavelength or infrared wavelength) reflected from a part of the skin surface including the blood vessels of the subject, the subject's biosignal can be detected. In this embodiment, the pulse rate and respiratory rate are measured as the subject's bioinformation.

[0013] The problem to be solved by the present invention will now be described with reference to Fig. 1. Fig. 1 is an example of a graph showing the results of acquiring a biological signal of a subject in time series.

[0014] FIG. 1 shows an example of a biological signal of a subject based on a moving image obtained by imaging the subject. In FIG. 1, the horizontal axis indicates time (s), and the vertical axis indicates the average luminance value of a region including a part of the subject in the moving image. Moreover, section T in FIG. 1 indicates a section in which the average luminance value fluctuates due to the subject's body movement or changes in environmental light during measurement. Moreover, the plot in FIG. 1 indicates a detected peak.

[0015] In this embodiment, the maximum value in the average brightness value is taken as the peak. The maximum value in Fig. 1 indicates that the amount of light absorption is small, that is, the volume of the blood vessel is reduced. The minimum value in Fig. 1 may also be taken as the peak. The minimum value indicates that the amount of light absorption is large, that is, the volume of the blood vessel is increased. In the section T where the average brightness value fluctuates greatly as shown in Fig. 1, the peak becomes relatively small.

[0016] Fig. 1(a) shows the biological signal of a subject and the peaks detected using the conditions (thresholds) set without considering the fluctuation of the average luminance value due to the subject's body movement or the change of the environmental light. In this case, the peaks can be detected with high accuracy in the intervals other than the interval T. On the other hand, under the conditions in Fig. 1(a), the small peaks in the interval T cannot be detected.

[0017] Fig. 1(b) shows the subject's biosignal and a peak detected under conditions that allow the detection of a peak in section T. In this case, it is possible to detect the subject's biosignal and a relatively small peak in section T. On the other hand, under the conditions in Fig. 1(b), there is a risk that a maximum value unrelated to the pulse rate may be detected as a peak in sections other than section T. In other words, if the conditions are set to allow the detection of small peaks as in Fig. 1(b), even noise will be detected as a peak.

[0018] Note that the peaks in Fig. 1(b) are detected using conditions different from those in Fig. 1(a). For example, the peaks in Fig. 1(a) and Fig. 1(b) can be detected by changing the thresholds for the peak width and peak height in the signal. In Fig. 1, the conditions in Fig. 1(a) are set to be stricter (narrower range) than the conditions in Fig. 1(b).

[0019] At the peak in FIG. 1(a) or FIG. 1(b), it is difficult to obtain accurate biological information due to body movements of the subject or changes in environmental light.

[0020] Therefore, in this embodiment, a first group of peak candidates and a second group of peak candidates are detected from the biological signal, and peaks indicating pulse or respiration (biological peaks) are determined based on the interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates.

[0021] Fig. 1(c) shows the biological signal of the subject and the peaks for acquiring biological information in this embodiment. The peaks in Fig. 1(c) are determined based on the intervals between the peaks in Fig. 1(a) and Fig. 1(b) obtained under different conditions (peak intervals). In Fig. 1(c), peaks can be detected at regular intervals in both section T and sections other than section T.

[0022] The peak interval in FIG. 1 represents the time from one pulse to the next pulse of the subject when the biological signal is a pulse wave signal. In other words, the pulse rate of the subject can be calculated based on the peak interval. Therefore, by setting a predetermined range or threshold value according to the subject's pulse rate, the peak for acquiring biological information of the subject can be obtained. Since it is generally known that the pulse rate of a human at rest is about 40 bpm (Beats Per Minute) to 120 bpm, for example, the peak interval can be set so as not to exceed the range from 40 bpm to 120 bpm. However, this is not limited to this, and a predetermined range can be set according to the subject. For example, when the subject is a human during exercise, the maximum human pulse rate is about 220 bpm, so biological information may be acquired based on peaks up to 220 bpm.

[0023] With the above-described configuration, even if the average luminance value fluctuates due to the body movement of the subject, the peak due to the subject's biosignal can be detected with high accuracy.

[0024] The acquisition device, acquisition method, and program in each embodiment will be described in detail below.

[0025] [Example 1] First, an information acquisition system 1 according to a first embodiment will be described with reference to Fig. 2. The information acquisition system 1 according to this embodiment includes an information acquisition device (measurement device) 10 and an imaging device 100 that are communicably connected to each other. The imaging device 100 images a subject. The information acquisition device 10 acquires biological information of the subject based on moving images acquired by the imaging device 100. The imaging device 100 in this embodiment can acquire moving images at a frame rate of 30 fps (frames per second). The frame rate indicates the number of images captured per unit time.

[0026] The information acquiring device 10 in this embodiment includes a moving image acquiring unit 11, a biological signal acquiring unit 12, a detecting unit 13, a deciding unit 14, and a biological information acquiring (measuring) unit 15. The function of acquiring biological information of a subject by the information acquiring device 10 can be implemented by one or more processors (processing means) such as CPUs.

[0027] Next, a method for acquiring biological information of a subject in this embodiment will be described with reference to Fig. 3. Fig. 3 is a flowchart relating to acquisition of biological information in this embodiment.

[0028] In step S11, the moving image acquisition unit (second acquisition unit) 11 acquires moving images (a plurality of frame images) obtained by continuously capturing images of a target subject using an imaging device. The moving images in this embodiment are obtained by capturing images of an area including a part of the subject using the imaging device 100. However, this is not limited to this, and the moving images may be received in advance by capturing images using the imaging device.

[0029] In step S12, the biosignal acquiring unit (third acquiring unit) 12 sets an analysis region for the acquired moving image. The analysis region may be any region that includes a part of the subject in the moving image, such as a face, a part of the face, or a palm. Note that known techniques can be used to set the analysis region from the moving image and to recognize the subject's face.

[0030] In step 13, the biosignal acquisition unit 12 extracts the subject's biosignal from the acquired moving image. In this embodiment, the subject's biosignal is a pulse wave signal, and the bioinformation is a pulse rate. However, this is not limited to this, and it is sufficient if the bioinformation can be acquired from the time-dependent change in brightness value obtained based on the moving image. For example, the bioinformation may be a respiratory rate. The subject's pulse wave signal is obtained by acquiring the average brightness value of at least one of the green wavelength or the infrared wavelength in the moving image in a time series.

[0031] In addition, when an analysis region is set in step 12, the biosignal acquisition unit 12 may extract a biosignal from the analysis region. By making the biosignal based on the average luminance value of the luminance values ​​included in the analysis region, the influence of noise in the moving image can be reduced.

[0032] In step S14, the detection unit 13 detects peak candidate groups from the biological signal using at least two conditions. The detection unit 13 in this embodiment detects peak candidate group A using a first threshold value and a second peak candidate group B using a second threshold value different from the first threshold value. Peak candidates in each peak candidate group are associated with time in the moving image by the number of an image (frame image) in the moving image at the time of detection. The threshold value in the detection unit will be described later.

[0033] In step S15, the determination unit 14 determines a peak (biological peak) based on the peak interval between the peak in peak candidate group A and the peak in peak candidate group B. In this embodiment, the determination unit 14 determines a peak based on whether the peak interval of each peak candidate is within a predetermined range. Note that the peak interval means the time interval between any two peak candidates, and is represented by the difference in frame image numbers corresponding to any two peak candidates.

[0034] The range in this embodiment is set from 40 bpm to 120 [bpm] based on the resting heart rate of a human. Here, when the peak interval between any peak candidate A1 and an adjacent peak candidate B1 is L11, and the frame rate of the imaging device 100 is F1 [Hz], the range in this embodiment can be expressed as (60 × F1) / 120 < L11 < (60 × F1) / 40.

[0035] Note that the range of the peak interval is not limited to this and can be appropriately changed according to the subject. For example, if the subject is in motion, it may be set based on the maximum heart rate of a human, which is 220 bpm. Also, for the predetermined range, at least one of the upper limit value or the lower limit value may be determined. For example, if 220 bpm is set as the upper limit and the detected peak is set so as not to be higher than 220 bpm, the measurement accuracy of the biological information can be improved by playing the role of a low-pass filter.

[0036] In this embodiment, when the peak interval L11 consisting of the peak candidate A1 and the peak candidate B1 is within the above range, the determination unit 14 determines both the peak candidate A1 and the peak candidate B1 as peaks. On the other hand, when the peak interval L11 is not within the above range, only the peak candidate A1 is determined as a peak. With such a configuration, the measurement accuracy of the biological information of the subject can be improved.

[0037] In step S16, the acquisition unit (first acquisition unit) 15 calculates the heart rate based on the determined peaks. The acquisition unit 15 can calculate the heart rate based on the peak intervals between two adjacent peaks. Since the frame rate of the imaging device 10 in this embodiment is 30 fps, for example, when the peak interval (difference in frame numbers) between two adjacent peaks is 25, the heart rate is 60 × 30 ÷ 25 = 72 bpm. With such a configuration, biological information can be obtained even from a short moving image compared to the method of calculating the heart rate by Fourier transform or the like. Note that the acquisition unit 15 may calculate the heart rate based on three or more peaks.

[0038] Furthermore, the information acquiring device 10 may repeatedly perform steps S11 to S16 to acquire biological information of the subject continuously in time.

[0039] Next, the threshold value in the detection unit will be described with reference to Fig. 4. Fig. 4 is a diagram for explaining the feature quantities in a biosignal. In this embodiment, the feature quantities in a biosignal are the peak interval, the peak width, and the peak height.

[0040] In Fig. 4, the horizontal axis indicates time (s), and the vertical axis indicates the average luminance value of a region including a part of the subject in the moving image. Fig. 4 also shows the peak interval L, peak width W, and peak height H of adjacent peak candidates. Note that the feature amount of the biosignal shown in Fig. 4 is an example. For example, the width of the peak may be defined using a width obtained by the half-width method, the tangent method, or the area-height method. Also, the peak height H may be defined as a value up to a local maximum value with respect to the baseline.

[0041] The two conditions used by the detection unit 13 in this embodiment to detect peak candidate group A and peak candidate group B have different thresholds for at least one of the peak width and peak height in the biological signal. In this embodiment, as an example, the condition for detecting peak candidate group A is set to be stricter (narrower range) than the condition for detecting peak candidate group B.

[0042] With this configuration, peaks in sections other than section T in Fig. 1 can be accurately detected as peak candidate group A. Furthermore, peaks in the case where there is a fluctuation in the average luminance value due to the subject's body movement or changes in the environmental light, as in section T in Fig. 1, can be detected as peak candidate group B. Note that when adjacent peak candidates in the peak candidate group are detected, as in section T, both of the detected two peak candidates may be determined to be biological peaks.

[0043] Furthermore, when the threshold value for the peak width used to detect the peak candidate group A is W1, and the threshold value for the peak width used to detect the peak candidate group B is W2, the relationship between the two threshold values is represented by W1 > W2. Also, when the threshold value for the peak height used to detect the peak candidate group A is H1, and the threshold value for the peak height used to detect the peak candidate group B is H2, the relationship between the two threshold values is represented by H1 > H2.

[0044] Also, in the detection unit 13 that detects peaks using the above-described threshold values, the minimum value of the intervals between two adjacent peak candidates in the peak candidate group A is L1. Also, the minimum value of the intervals between two adjacent peak candidates in the peak candidate group B is L2. At this time, the relationship between the intervals of each peak candidate is represented by 1 < L2 / L1. At this time, the determination unit 14 in this embodiment determines only the peak candidate A1 as a peak when the peak interval L11 is outside the range of (60 × F1) / 120 < L11 < (60 × F1) / 40. With such a configuration, since peaks can be determined excluding peak candidates obtained under relatively loose conditions, biological information can be acquired with high accuracy.

[0045] Note that it is more preferable that the relationship between the intervals of each peak candidate satisfies 1 < L2 / L1 ≤ 2. By the relationship between the intervals of each peak candidate satisfying 1 < L2 / L1 ≤ 2, peaks of biological signals with different intervals under different conditions can be detected. On the other hand, when the upper limit of the above formula is not satisfied, since L2 may be too large and there is a possibility that peak candidates cannot be detected sufficiently, this is not preferable.

[0046] [Example 2] First, an information acquisition system 2 according to a second embodiment will be described with reference to Fig. 5. An information acquisition device 20 in the information acquisition system 2 according to the second embodiment differs from that of the first embodiment in that it includes an imaging unit 21 having an optical system 211 and an imaging element 212. The optical system 211 collects light incident on the imaging element 212 from the subject space. The imaging element 212 receives an optical image of the subject formed via the optical system 211 to acquire a moving image. The imaging element 212 is a CCD (Charge Coupled Device) sensor, a CMOS (Complementary Metal-Oxide Semiconductor) sensor, or the like.

[0047] Furthermore, if necessary, the information acquisition system 2 may have an input device 220, an output device 230, and a storage medium 240. The input device 220, the output device 230, and the storage medium 240 are each connected to the information acquisition device 20 via a wire or a network.

[0048] The input device 220 is, for example, a keyboard or a mouse, and a user uses the input device 220 to drive and set the imaging unit 21 or to control the information acquisition device 20. The output device 230 is, for example, a liquid crystal display or a projector, and displays the moving images acquired by the imaging unit 21 and the measured biological information of the subject. The storage medium 240 is, for example, a semiconductor memory, a hard disk, a server on a network, or the like, and stores the obtained moving images and the biological information of the subject.

[0049] Next, a description will be given of the flowchart in the embodiment 2. The flowchart in the embodiment is similar to that in the embodiment 1, but differs from the embodiment 1 in that in step 14, the detection unit 23 detects peak candidates from the biosignal using three detection conditions.

[0050] By using three detection conditions to detect peak candidates, it is possible to detect peak candidates under conditions corresponding to, for example, a biosignal without changes in the subject's body movement and environmental light, a biosignal with fluctuations due to the subject's body movement, and a biosignal with changes in environmental light.

[0051] In this embodiment, the threshold value for the peak height used to detect the peak candidate group A is set as H1, and the threshold value for the peak width is set as W1. The threshold value for the peak height used to detect the peak candidate group B is set as H1, and the threshold value for the width is set as W2. The threshold value for the peak height used to detect the peak candidate group C is set as H2, and the threshold value for the peak width is set as W1. Note that the relationship between the two threshold values is represented by H1 > H2 and W1 > W2.

[0052] In step S14, the detection unit 23 detects the peak candidate group A, the peak candidate group B, and the peak candidate group C using three different conditions.

[0053] In step S15, the determination unit 24 determines a peak (biological peak) based on the peak intervals between peak candidates in different peak candidate groups. The determination unit 24 in this embodiment determines a peak based on the peak interval Ln of peak candidates detected using different conditions and the range of (60 × F1) / 40 < Ln < (60 × F1) / 120.

[0054] First, when the peak interval L21 composed of the peak candidate A1 in the peak candidate group A and the peak candidate B1 in the peak candidate group B is within the above range, the determination unit 24 determines the peak candidate A1 as a peak and leaves the peak candidate B1 as a peak candidate. On the other hand, when the peak interval L21 is not within the above range, the determination unit 24 determines only the peak candidate A1 as a peak.

[0055] Next, when the peak interval L22 composed of the peak candidate A1 in the peak candidate group A and the peak candidate C1 in the peak candidate group C is within the above range, the determination unit 24 determines the peak candidate A1 as a peak and leaves the peak candidate C1 as a peak candidate. On the other hand, when the peak interval L22 is not within the above range, the determination unit 24 leaves only the peak candidate A1 as a peak candidate.

[0056] Then, when a peak interval L23 consisting of peak candidate B1 in peak candidate group B and peak candidate C1 in peak candidate group C is within the above range, the determining unit 24 determines peak candidate B1 and peak candidate C1 as the peak. On the other hand, when the peak interval L23 is not within the above range, the determining unit 24 determines only one of peak candidate B1 or peak candidate C1 as the peak. Note that which of peak candidate B1 and peak candidate C1 the determining unit 24 determines as the peak depends on the conditions in the detecting unit 23. In other words, peak candidates obtained under relatively loose conditions are not used to acquire biological information since they may be noise.

[0057] With this configuration, it is possible to accurately detect peaks in the biosignal, regardless of the presence or absence of fluctuations in the biosignal due to body movements of the subject or changes in environmental light.

[0058] (Other Examples) This embodiment can also be realized by a process in which a program for realizing one or more functions of the above-mentioned embodiment is supplied to a system or device via a network or a storage medium, and one or more processors in a computer of the system or device read and execute the program. It can also be realized by a circuit (e.g., ASIC) for realizing one or more functions.

[0059] Although the preferred embodiments of the present invention have been described above, the present invention is not limited to these embodiments, and various modifications and changes are possible within the scope of the gist of the present invention.

[0060] Although the preferred embodiments of the present invention have been described above, the present invention is not limited to these embodiments, and various modifications and changes are possible within the scope of the gist of the present invention.

[0061] The embodiments of the present invention include the following configurations, methods, and programs.

[0062] [Configuration 1] An information acquiring device for acquiring biological information of a subject based on a biological signal of the subject, a detection unit that detects a first group of peak candidates from the biological signal using a first threshold value, and detects a second group of peak candidates from the biological signal using a second threshold value different from the first threshold value; a determination unit that determines a biological peak based on an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates; a first acquisition unit that acquires the biological information based on the biological peak, The information acquisition device, wherein each of the first and second thresholds is a threshold related to a peak width or a peak height.

[0063] [Configuration 2] The information acquiring device according to configuration 1, wherein the determination unit determines the biological peak based on whether an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates is within a predetermined range.

[0064] [Configuration 3] the first threshold is greater than the second threshold, Let L1 be the minimum value of the interval between two adjacent peak candidates in the first group of peak candidates, and L2 be the minimum value of the interval between two adjacent peak candidates in the second group of peak candidates, 1 <L2 / L1≦2 3. The information acquisition device according to configuration 1 or 2, characterized in that the following conditions are satisfied:

[0065] [Configuration 4] The determination unit is determining, when an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates is within a predetermined range, both of the peak candidates in the first group of peak candidates and the peak candidates in the second group of peak candidates as the biological peak; The information acquiring device according to configuration 3, characterized in that, when an interval between the peak candidate in the first peak candidate group and the peak candidate in the second peak candidate group is not within a predetermined range, only the peak candidate in the first peak candidate group is determined to be the biological peak.

[0066] [Configuration 5] 5. The information acquiring device according to any one of configurations 1 to 4, wherein the biological information includes at least one of a pulse rate and a respiratory rate.

[0067] [Configuration 6] 6. The information acquiring device according to any one of configurations 1 to 5, further comprising a second acquiring unit configured to acquire a moving image obtained by imaging the subject using an imaging device.

[0068] [Method 1] 1. An information acquiring method for acquiring biological information of a subject based on a biological signal of the subject, comprising: detecting a first group of peak candidates from the biological signal using a first threshold value, and detecting a second group of peak candidates from the biological signal using a second threshold value different from the first threshold value; determining a biopeak based on a distance between a peak candidate in the first set of peak candidates and a peak candidate in the second set of peak candidates; acquiring the biological information based on the biological peak, An information acquisition method characterized in that each of the first and second thresholds is a threshold related to a peak width or a peak height.

[0069] [Program 1] A program for causing a computer to execute the information acquisition method according to Method 1. [Explanation of symbols]

[0070] 10 Acquisition device 13 Detection section 14 Decision Section 15 Acquisition Department

Claims

1. An information acquiring device for acquiring biological information of a subject based on a biological signal of the subject, a detection unit that detects a first group of peak candidates from the biological signal using a first threshold value, and detects a second group of peak candidates from the biological signal using a second threshold value different from the first threshold value; a determination unit that determines a biological peak based on an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates; a first acquisition unit that acquires the biological information based on the biological peak, The information acquisition device according to claim 1, wherein each of the first and second threshold values ​​is a threshold value related to a peak width or a peak height.

2. 2. The information acquisition device according to claim 1 , wherein the determination unit determines the biological peak based on whether an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates is within a predetermined range.

3. the first threshold is greater than the second threshold, Let L1 be the minimum value of the interval between two adjacent peak candidates in the first group of peak candidates, and L2 be the minimum value of the interval between two adjacent peak candidates in the second group of peak candidates, 1<L2 / L1≦2 3. The information acquisition device according to claim 1, wherein the information acquisition device satisfies the following conditions:

4. The determination unit is determining, when an interval between a peak candidate in the first group of peak candidates and a peak candidate in the second group of peak candidates is within a predetermined range, both of the peak candidates in the first group of peak candidates and the peak candidates in the second group of peak candidates as the biological peak; 4. The information acquisition device according to claim 3, characterized in that, when an interval between the peak candidate in the first peak candidate group and the peak candidate in the second peak candidate group is not within a predetermined range, only the peak candidate in the first peak candidate group is determined to be the biological peak.

5. 3. The information acquiring device according to claim 1, wherein the biological information includes at least one of a pulse rate and a respiratory rate.

6. 3. The information acquiring device according to claim 1, further comprising a second acquiring unit configured to acquire a moving image obtained by imaging the subject using an imaging device.

7. 1. An information acquiring method for acquiring biological information of a subject based on a biological signal of the subject, comprising: detecting a first group of peak candidates from the biological signal using a first threshold value, and detecting a second group of peak candidates from the biological signal using a second threshold value different from the first threshold value; determining a biopeak based on a distance between a peak candidate in the first set of peak candidates and a peak candidate in the second set of peak candidates; acquiring the biological information based on the biological peak, An information acquisition method, characterized in that the first and second thresholds are thresholds related to peak width or peak height.

8. A program causing a computer to execute the information acquisition method according to claim 7.

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