Measurement device

Abstract

To provide a measurement device capable of suppressing measurement of biological information from being affected by noise.SOLUTION: A measurement apparatus includes: a first pixel group having a peak sensitivity wavelength of 620 nm or more and 740 nm or less; a second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more and including a pixel group of at least one color; and an imaging element in which a total light receiving area of the first pixel group is larger than a total light receiving area of the pixel groups of the respective colors included in the at least one color, and includes: a camera configured to capture an image of the living body from a position away from the living body; and a processing part configured to acquire biological information of the living body by processing signals indicating light reception amounts of the first pixel group and the second pixel group.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to a measurement device. [Background technology]

[0002] Patent Document 1 discloses a bioinformation measuring device. In this bioinformation measuring device, a first pixel is sensitive to light in the wavelength band of 530 nm to 590 nm, which is within the sensitivity range of the heartbeat component. A second pixel receives light in the wavelength bands of 500 nm to 530 nm and 590 nm to 620 nm, which are outside the sensitivity range of the heartbeat component. First and second time-series data are generated for a first average luminance, which is the signal value of an electrical signal included in a first imaging signal generated by the first pixel, and a second average luminance, which is the signal value of an electrical signal included in a second imaging signal generated by the second pixel. Heartbeat components and illumination fluctuation components are separated from the first and second time-series data. This enables the heartbeat component and illumination fluctuation component to be separated with high accuracy (see paragraphs 0014, 0019, 0020, 0025, 0026, 0029, and 0030). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2017 / 104056 Summary of the Invention [Problem to be solved by the invention]

[0004] In the biological information measuring device disclosed in Patent Document 1, the wavelength band to which the second pixel is sensitive is narrowed, resulting in a low sensitivity of the second pixel. As a result, the second time-series data is easily affected by noise. As a result, separation of the heartbeat component and the illumination fluctuation component is affected by noise.

[0005] In view of this problem, an aspect of the present disclosure provides a measurement device that can suppress the influence of noise on measurement of biological information, for example. [Means for solving the problem]

[0006] A measuring device according to one embodiment of the present disclosure comprises: a first pixel group having a peak sensitivity wavelength of 620 nm or more and 740 nm or less; and a second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more and including a pixel group of at least one color; an image sensor having a total light receiving area of ​​the first pixel group that is greater than the total light receiving area of ​​the pixel groups of each color included in the at least one color; a camera that images the living organism from a position away from the living organism; and a processing unit that processes signals indicating the amount of light received by the first pixel group and the second pixel group to acquire biometric information about the living organism. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is a block diagram of a measurement device according to a first embodiment. [Figure 2] FIG. 2 is a cross-sectional view schematically illustrating a camera provided in the measurement device of the first embodiment. [Figure 3] FIG. 2 is a plan view schematically illustrating a pixel group provided in the measurement device of the first embodiment. [Figure 4] 4A to 4C are diagrams showing the content of a process for acquiring a volume pulse wave and image data, which is performed by a processing unit provided in the measurement device of the first embodiment. [Figure 5] 4 is a graph showing an example of the spectral sensitivity of a pixel provided in the measurement device of the first embodiment. [Figure 6] FIG. 10 is a plan view schematically illustrating a basic unit provided in a measurement device according to a first modified example of the first embodiment. [Figure 7] FIG. 10 is a plan view schematically illustrating a basic unit provided in a measurement device according to a second modified example of the first embodiment. [Figure 8] FIG. 10 is a plan view schematically illustrating a basic unit provided in a measurement device according to a third modified example of the first embodiment. [Figure 9] FIG. 10 is a plan view schematically illustrating a basic unit provided in a measurement device according to a fourth modified example of the first embodiment. [Figure 10] FIG. 11 is a plan view schematically illustrating a basic unit provided in a measurement device according to a fifth modified example of the first embodiment. [Figure 11] FIG. 13 is a plan view schematically illustrating a basic unit provided in a measurement device according to a sixth modified example of the first embodiment. [Figure 12] FIG. 13 is a plan view schematically illustrating a basic unit provided in a measurement device according to a seventh modified example of the first embodiment. [Figure 13] FIG. 13 is a plan view schematically illustrating a basic unit provided in a measurement device according to an eighth modified example of the first embodiment. [Figure 14] FIG. 13 is a diagram showing the contents of a process for acquiring a volume pulse wave and image data, which is performed by a processing unit provided in a measurement device according to an eighth modified example of the first embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the drawings, the same or equivalent elements are designated by the same reference numerals, and redundant description will be omitted.

[0009] 1. First embodiment 1.1 Measurement equipment FIG. 1 is a block diagram of a measurement device according to the first embodiment.

[0010] The measurement device 1 of the first embodiment shown in Fig. 1 measures biological information of a living body LB. In doing so, the measurement device 1 captures an image of the living body LB, generates a signal corresponding to light reflected by the living body LB, and acquires biological information from the generated signal. In this way, the measurement device 1 measures biological information in a non-contact manner. The measured biological information includes a volume pulse wave and heart rate, blood pressure, respiratory rate, blood oxygen saturation, etc. calculated from the volume pulse wave.

[0011] The living organism LB is the body of a living organism, such as a human, that has a circulatory system that circulates blood containing oxygenated hemoglobin and reduced hemoglobin.

[0012] The measured volume pulse wave is generated by fluctuations in the intensity of light reflected by the living body LB due to alternate expansion and contraction of blood vessels through which blood flows.

[0013] Fluctuations in the intensity of reflected light reflect the expansion and contraction of blood vessels in a thin region along the surface of the skin of the living body LB. Therefore, the fluctuations in the intensity of reflected light are small, on the order of a few tenths of a percent. For example, if the intensity of reflected light is expressed as a numerical value having a bit length of 12 bits, even when the intensity of reflected light is approximately 1000 LSB, the fluctuations in the intensity of reflected light are only approximately 10 LSB. Therefore, the amplitude of the measured volume pulse wave is small. Therefore, volume pulse waves measured without contact are generally susceptible to artifacts of the living body LB's body movement, fluctuations in ambient light, and noise superimposed on signals indicating the amount of light received by pixels. Therefore, it is generally difficult to measure volume pulse waves with high accuracy without contact. The measurement device 1 solves this problem and measures volume pulse waves with high accuracy without contact.

[0014] As shown in FIG. 1, the measurement device 1 includes a camera 101 and a processing unit 102.

[0015] The camera 101 captures an image of the living body LB from a position distant from the living body LB and outputs a signal corresponding to the reflected light.

[0016] The processing unit 102 controls the camera 101. The processing unit 102 acquires biometric information from the output signal. The processing unit 102 includes a processor, a memory, and peripheral circuits. The processor executes a program stored in the memory to cause the processor, the memory, and the peripheral circuits to function as the processing unit 102. All or part of the processing performed by the processing unit 102 may be performed by a dedicated electronic circuit.

[0017] The camera 101 captures an image of the skin of the living body LB, preferably the facial skin of the living body LB. When the camera 101 captures an image of the facial skin of the living body LB, it is possible to obtain biometric information from a signal corresponding to light reflected by the skin, which has a large area and many blood vessels underneath. This makes it possible to easily obtain biometric information.

[0018] 1.2 Camera FIG. 2 is a cross-sectional view that schematically illustrates a camera provided in the measurement device of the first embodiment.

[0019] As shown in FIG. 2, the camera 101 includes a lens 111, an imaging element 112, and a support member 113.

[0020] The lens 111 guides the light reflected by the living body LB to the image pickup element 112. The lens 111 focuses the reflected light on the image pickup element 112 to form an image of the living body LB on the image pickup element 112.

[0021] As shown in FIG. 2, the image sensor 112 includes a pixel group 121. The pixels included in the pixel group 121 are arranged in a matrix in a light receiving surface perpendicular to the optical axis of the lens 111. The pixels included in the pixel group 121 may also be arranged in a non-matrix manner. The image sensor 112 outputs a signal indicating the amount of light received by the pixel group 121. The image sensor 112 is a complementary metal-oxide semiconductor image sensor (CIS). The image sensor 112 may also be an image sensor other than a CIS. For example, the image sensor 112 may be a charge-coupled device (CCD) image sensor.

[0022] The support member 113 supports the lens 111 .

[0023] 1.3 Pixel Groups FIG. 3 is a plan view schematically illustrating a pixel group provided in the measurement device of the first embodiment.

[0024] As shown in FIG. 3, pixel group 121 includes a red pixel group R, a green pixel group G, a blue pixel group B, and an infrared pixel group IR.

[0025] The infrared pixels R, green pixels G, blue pixels G, and infrared pixels IR included in the red pixel group R, green pixel group G, blue pixel group B, and infrared pixel group IR, respectively, are periodically arranged. Therefore, the image sensor 112 includes a plurality of basic units 131. The plurality of basic units 131 are arranged in a matrix within the light receiving surface of the image sensor 112. The plurality of basic units 131 may also be arranged in a non-matrix manner. Each of the plurality of basic units 131 includes an infrared pixel R, a green pixel G, a blue pixel G, and an infrared pixel IR.

[0026] The red pixel group R, green pixel group G, blue pixel group B, and infrared pixel group IR respectively include a red pixel group Ri, a green pixel group Gi, a blue pixel group Bi, and an infrared pixel group IR for image data. Each of the plurality of basic units 131 includes one infrared pixel Ri, one green pixel Gi, one blue pixel Bi, and one infrared pixel IRI for image data, which are respectively included in the red pixel group Ri, green pixel group Gi, blue pixel group Bi, and infrared pixel group IR for image data.

[0027] 1.4 Acquisition of volume pulse wave and image data FIG. 4 is a diagram showing the content of the process for acquiring the volume pulse wave and image data, which is performed by the processing unit provided in the measurement device of the first embodiment.

[0028] As shown in FIG. 4 , the processing unit 102 processes signals SR, SG, SB, and SIR, which indicate the amounts of light received by the red pixel group R, green pixel group G, blue pixel group B, and infrared pixel group IR, respectively, to obtain a volume pulse wave 141. The processing unit 102 uses, as a reference, the signal SR, which indicates the amount of light received by the red pixel group R, which has a peak sensitivity wavelength belonging to a wavelength band where the absorption coefficient of oxygenated hemoglobin is small. For example, the processing unit 102 performs a process of subtracting the signal SR from the signal SG, which indicates the amount of light received by the green pixel group G, which has a peak sensitivity wavelength belonging to a wavelength band where the absorption coefficient of oxygenated hemoglobin is large. That is, the processing unit 102 performs a process of subtracting the signal SR, which does not include a large volume pulse wave component, from the signal SG, which includes a large volume pulse wave component. This allows the processing unit 102 to suppress the volume pulse wave 141 from being affected by body movement artifacts of the living body LB, fluctuations in ambient light, and the like.

[0029] The processing unit 102 also acquires image data 142 representing a color image from signals SRi, SGi, SBi, and SIRi indicating the amounts of light received by the red pixel group Ri, green pixel group Gi, blue pixel group Bi, and infrared pixel group IRi for the image data, respectively.

[0030] The processing unit 102 detects the surrounding conditions of the measurement device 1 from the acquired image data 142. The processing unit 102 also detects the area of ​​the image of the skin of the living body LB, the movement of the image of the living body LB, etc. from the acquired image data 142. The processing unit 102 also removes the influence of the body movement of the living body LB from the volume pulse wave 141 using the detected movement of the image of the living body LB.

[0031] Each of the multiple basic units 131 includes one infrared pixel Ri, one green pixel Gi, one blue pixel Bi, and one infrared pixel IRI for image data. The processing unit 102 acquires pixel values ​​of each of the multiple basic units 131 from signals indicating the amount of received light of the infrared pixel Ri, green pixel Gi, blue pixel Bi, and infrared pixel IRI for image data provided in each of the multiple basic units 131. Each of the multiple basic units 131 may include two or more infrared pixels Ri, two or more green pixels Gi, two or more blue pixels Bi, and two or more infrared pixels IRI for image data. The processing unit 102 may acquire pixel values ​​of each of the multiple basic units 131 from signals indicating the amount of received light of the two or more infrared pixels Ri, two or more green pixels Gi, two or more blue pixels Bi, and two or more infrared pixels IRI for image data provided in each of the multiple basic units 131. In this case, the processing unit 102 may perform a process of averaging pixel values ​​indicating the amount of light received by two or more infrared pixels Ri for the image data, or may perform a process of averaging pixel values ​​indicating the amount of light received by two or more green pixels Gi for the image data, or may perform a process of averaging pixel values ​​indicating the amount of light received by two or more blue pixels Bi for the image data, or may perform a process of averaging pixel values ​​indicating the amount of light received by two or more infrared pixels IRi for the image data.

[0032] 1.5 Pixel spectral sensitivity FIG. 5 is a graph showing an example of the spectral sensitivity of the pixels provided in the measurement device of the first embodiment.

[0033] In FIG. 5, the horizontal axis represents wavelength and the vertical axis represents sensitivity.

[0034] As shown in Figure 5, the infrared pixel R has high sensitivity to red light and has a peak sensitivity wavelength of approximately 650 nm. The green pixel G has high sensitivity to green light and has a peak sensitivity wavelength of approximately 540 nm. The blue pixel B has high sensitivity to blue light and has a peak sensitivity wavelength of approximately 470 nm. The infrared pixel IR has high sensitivity to infrared light and has a peak sensitivity wavelength of approximately 850 nm.

[0035] The signal indicating the amount of light received by the first pixel group having a peak sensitivity wavelength of 620 nm or more and 740 nm or less does not contain a large volume pulse wave component. The signal indicating the amount of light received by the second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more contains a large volume pulse wave component. Therefore, the processing unit 102 processes signals SR, SG, SB, and SIR indicating the amount of light received by the red pixel group R included in the first pixel group, the green pixel group G included in the second pixel group, the blue pixel group B included in the second pixel group, and the infrared pixel group IR included in the second pixel group, respectively, to obtain the volume pulse wave 141. The processing unit 102 uses the signal SR as a reference.

[0036] The red pixel group included in an image sensor for normal imaging has spectral sensitivity that matches the human visual sensitivity characteristics. Therefore, the red pixel group has a peak sensitivity wavelength of approximately 600 nm. However, at a wavelength of approximately 600 nm, the absorption coefficient of oxyhemoglobin is not sufficiently small. Therefore, the volume pulse wave component included in the signal indicating the amount of light received by the red pixel group included in an image sensor for normal imaging is not sufficiently small. Therefore, when this signal is used as a reference and, for example, a process is performed in which the signal indicating the amount of light received by the red pixel group is subtracted from the signal indicating the amount of light received by the green pixel group, the volume pulse wave component is canceled out. Therefore, the amplitude of the volume pulse wave obtained through this process is small. This makes it difficult to accurately calculate heart rate, blood pressure, respiratory rate, blood oxygen saturation, and the like from the volume pulse wave, and particularly, it makes it difficult to accurately calculate biological information other than heart rate.

[0037] In contrast, the red pixel group R included in the image sensor 112 has a peak sensitivity wavelength between 620 nm and 740 nm. At wavelengths between 620 nm and 740 nm, the absorption coefficient of oxygenated hemoglobin is sufficiently small. Therefore, the volume pulse wave component included in the signal SR indicating the amount of light received by the red pixel group R included in the image sensor 112 is sufficiently small. Therefore, when the signal SR is used as a reference and, for example, a process is performed in which the signal SR is subtracted from the signal SG indicating the amount of light received by the green pixel group G, the volume pulse wave component is not canceled out. Therefore, the amplitude of the volume pulse wave obtained through this process is not reduced. This makes it easy to accurately calculate heart rate, blood pressure, respiratory rate, blood oxygen saturation, and other biometric information from the volume pulse wave, and in particular, it makes it easy to accurately calculate biometric information other than heart rate.

[0038] In the image sensor 112, the color filter provided in the red pixel group R is a color filter that selectively transmits light having a wavelength of 620 nm or more and 740 nm or less. This limits the wavelength range to which the red pixel group R is sensitive to, from 620 nm to 740 nm or less. This makes it possible to reduce the volume pulse wave component included in the signal SR that indicates the amount of light received by the red pixel group R.

[0039] However, if the sensitivity wavelength band of the red pixel group R is limited to 620 nm or more and 740 nm or less, the sensitivity of the red pixel group R will be low, which will result in a low signal-to-noise ratio of the signal SR indicating the amount of light received by the red pixel group R. This will result in a low signal-to-noise ratio of the acquired volume pulse wave 141.

[0040] Furthermore, in sunlight, light emitted by a white light-emitting diode, etc., the amount of light in the green component is greatest, and the amount of light in the red component is less than the amount of light in the green component. Therefore, when the living body LB is irradiated with sunlight, light emitted by a white light-emitting diode, etc., the amount of light received by the red pixel group R is insufficient. This results in a low signal-to-noise ratio of the signal SR indicating the amount of light received by the red pixel group R. This results in a low signal-to-noise ratio of the acquired volume pulse wave 141.

[0041] 1.6 Light-receiving area of ​​pixel group 3, in the image sensor 112, the light receiving areas of the multiple pixels included in the pixel group 121 are made the same. However, in order to compensate for the low signal-to-noise ratio of the signal SR indicating the amount of light received by the red pixel group R due to low sensitivity of the red pixel group R and / or an insufficient amount of light received by the red pixel group R, the number of pixels included in the red pixel group R is made greater than the number of pixels included in the green pixel group G, the number of pixels included in the blue pixel group B, and the number of pixels included in the infrared pixel group IR. This makes the total light receiving area of ​​the red pixel group R greater than the total light receiving area of ​​the green pixel group G, the total light receiving area of ​​the blue pixel group B, and the total light receiving area of ​​the infrared pixel group IR. This increases the amount of light received by the red pixel group R, and increases the signal-to-noise ratio of the signal SR indicating the amount of light received by the red pixel group R.

[0042] In an image sensor for normal imaging, the number of pixels included in the green pixel group, which has high sensitivity to green light for which human visibility is highest, is made larger than the number of pixels included in the pixel groups of each of the remaining colors, so that in an image sensor for normal imaging, the total light-receiving area of ​​the green pixel group is made larger than the total light-receiving area of ​​the pixel groups of each of the remaining colors.

[0043] In contrast, in the image sensor 112, the number of pixels included in the red pixel group R is made larger than the number of pixels included in the pixel groups of each remaining color. Therefore, the total light receiving area of ​​the red pixel group R is made larger than the total light receiving area of ​​the pixel groups of each remaining color. This makes it possible to suppress the measurement of biological information from being affected by noise.

[0044] FIG. 6 is a plan view schematically illustrating a basic unit provided in a measurement device according to a first modified example of the first embodiment.

[0045] 6, in the first modified example of the first embodiment, the pixel area of ​​each infrared pixel included in the red pixel group R is made larger than the pixel area of ​​each green pixel included in the green pixel group G, the pixel area of ​​each blue pixel included in the blue pixel group B, and the pixel area of ​​each infrared pixel included in the infrared pixel group IR. As a result, the total light receiving area of ​​the red pixel group R is made larger than the total light receiving area of ​​the green pixel group G, the total light receiving area of ​​the blue pixel group B, and the total light receiving area of ​​the infrared pixel group IR.

[0046] 1.7 Presence of both long-wavelength and short-wavelength pixel groups The second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more includes a short-wavelength pixel group consisting of a green pixel group G and a blue pixel group B having a peak sensitivity wavelength of 600 nm or less, and a long-wavelength pixel group consisting of an infrared pixel group IR having a peak sensitivity wavelength of 760 nm or more. By including both a short-wavelength pixel group having high sensitivity to visible light and a long-wavelength pixel group having high sensitivity to infrared light in the second pixel group in this way, it is possible to increase the types of light sources that can be used as a light source for irradiating the living body LB.

[0047] 1.8 Arrangement of pixels of the same color 3, each of the plurality of basic units 131 includes two or more pixels included in the pixel group 121. The two or more pixels include a plurality of infrared pixels R, a plurality of green pixels G, one blue pixel B, and a plurality of infrared pixels IR included in a red pixel group R, a green pixel group G, a blue pixel group B, and an infrared pixel group IR, respectively.

[0048] The plurality of infrared pixels R are arranged in clusters. That is, each infrared pixel R included in the plurality of infrared pixels R is adjacent to any of the remaining infrared pixels R included in the plurality of infrared pixels R. Similarly, the plurality of green pixels G are also arranged in clusters. The plurality of infrared pixels IR are also arranged in clusters.

[0049] When adjacent pixels are pixels of different colors, the adjacent color filters provided in the adjacent pixels are also color filters of different colors. In many cases, the boundaries of the adjacent color filters overlap. Therefore, when adjacent pixels are pixels of different colors, the boundaries of the color filters of different colors overlap. This causes a decrease in the sensitivity of the adjacent pixels.

[0050] However, if a plurality of pixels of the same color provided in each of the plurality of basic units 131 are arranged in clusters as described above, it is possible to reduce the boundary portions that cause such a decrease in sensitivity.

[0051] 1.9 Colors of pixels in the first and second pixel groups In the first embodiment, the first pixel group having a peak sensitivity wavelength of 620 nm to 740 nm includes a single color pixel group consisting of a red pixel group R. The second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more includes three color pixel groups consisting of a green pixel group G, a blue pixel group B, and an infrared pixel group IR. The short-wavelength pixel group included in the second pixel group, having a peak sensitivity wavelength of 600 nm or less, includes two color pixel groups consisting of a green pixel group G and a blue pixel group B. The long-wavelength pixel group included in the second pixel group, having a peak sensitivity wavelength of 760 nm or more, includes a single color pixel group consisting of an infrared pixel group IR. However, the number of colors of pixel groups included in the first pixel group, the second pixel group, the short-wavelength pixel group, and the long-wavelength pixel group may be increased or decreased. Examples of this are described below.

[0052] FIG. 7 is a plan view schematically illustrating a basic unit provided in a measurement device according to a second modified example of the first embodiment.

[0053] 7, a first pixel group having a peak sensitivity wavelength of 620 nm or more and 740 nm or less includes two color pixel groups, a first infrared pixel group IR1 and a second infrared pixel group IR2. The first infrared pixel group IR1 and the second infrared pixel group IR2 have different spectral sensitivities. The first pixel group may include pixel groups of three or more colors.

[0054] FIG. 8 is a plan view schematically illustrating a basic unit provided in a measurement device according to a third modified example of the first embodiment.

[0055] In the third variant of the first embodiment, as shown in Figure 8, the pixel group on the short wavelength side having a peak sensitivity wavelength of 600 nm or less does not include a blue pixel group B, but only includes a pixel group of one color consisting of a green pixel group G.

[0056] FIG. 9 is a plan view schematically illustrating a basic unit provided in a measurement device according to a fourth modified example of the first embodiment.

[0057] In the fourth variant of the first embodiment, as shown in Figure 9, the pixel group on the short wavelength side having a peak sensitivity wavelength of 600 nm or less does not include a green pixel group G, but only includes a pixel group of one color consisting of a blue pixel group B.

[0058] FIG. 10 is a plan view schematically illustrating a basic unit provided in a measurement device according to a fifth modified example of the first embodiment.

[0059] 10 , the second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more includes a pixel group on the short wavelength side having a peak sensitivity wavelength of 600 nm or less, which is made up of a green pixel group G and a blue pixel group B, but does not include a pixel group on the long wavelength side having a peak sensitivity wavelength of 760 nm or more. In this case, all of the second pixel groups have peak sensitivity wavelengths of 600 nm or less.

[0060] FIG. 11 is a plan view schematically illustrating a basic unit provided in a measurement device according to a sixth modified example of the first embodiment.

[0061] 11, in the sixth modification of the first embodiment, the pixel group on the long wavelength side having a peak sensitivity wavelength of 760 nm or longer includes two color pixel groups consisting of a first infrared pixel group IR1 and a second infrared pixel group IR2, which have different spectral sensitivities.

[0062] 1.10 Bayer array FIG. 12 is a plan view schematically illustrating a basic unit provided in a measurement device according to a seventh modified example of the first embodiment.

[0063] In the seventh modification of the first embodiment, the red pixel group Ri, the green pixel group Gi, and the blue pixel group Bi for the image data are arranged in a Bayer array as shown in Fig. 12. Furthermore, when the processing unit 102 acquires image data 142 from the signals SRi, SGi, and SBi that indicate the amounts of light received by the red pixel group Ri, the green pixel group Gi, and the blue pixel group Bi for the image data, it performs Bayer interpolation.

[0064] If the infrared pixel group Ri, green pixel group Gi, and blue pixel group Bi for image data are not arranged in a Bayer array, the resolution of image data 142 acquired from signals SRi, SGi, and SBi indicating the amounts of light received by the red pixel group Ri, green pixel group Gi, and blue pixel group Bi for image data, respectively, will decrease by an amount corresponding to the repetition period of the red pixels Ri, green pixels Gi, and blue pixels Bi for image data. For example, as shown in Figure 3, if the repetition period of the red pixels Ri, green pixels Gi, and blue pixels Bi for image data in each of the horizontal and vertical directions is six times the pixel repetition period, the resolution of image data 142 will be 1 / 36 times the resolution of pixel group 121.

[0065] In contrast, when the red pixel group Ri, green pixel group Gi, and blue pixel group Bi for the image data are arranged in a Bayer array, the resolution of the image data 142 acquired from the signals SRi, SGi, and SBi, which respectively indicate the amounts of light received by the red pixel group Ri, green pixel group Gi, and blue pixel group Bi for the image data, decreases by an amount corresponding to the repetition period of the red pixels Ri, green pixels Gi, and blue pixels Bi for the image data, but the degree of decrease is suppressed by performing Bayer interpolation. For example, as shown in Figure 11, when the repetition period of the red pixels Ri, green pixels Gi, and blue pixels Bi for the image data in each of the horizontal and vertical directions is six times the pixel repetition period, the resolution of the image data 142 is 1 / 9 times the resolution of the pixel group 121.

[0066] 1.11 Separation of infrared pixels for biometric measurement and infrared pixels for image data FIG. 13 is a plan view schematically illustrating a basic unit provided in a measurement device according to an eighth modified example of the first embodiment.

[0067] 13, the image sensor 112 includes a red pixel group Ri for image data that has a spectral sensitivity different from that of the red pixel group R. The red pixel group Ri for image data has a spectral sensitivity that matches the visual sensitivity characteristics of humans, similar to the red pixel group included in an image sensor for normal imaging, and has a peak sensitivity wavelength of approximately 600 nm.

[0068] FIG. 14 is a diagram showing the content of the process for acquiring the volume pulse wave and image data, which is performed by a processing unit provided in the measurement device of the eighth modified example of the first embodiment.

[0069] As shown in FIG. 14, the processing unit 102 processes signals SR, SG, SB, and SIR that indicate the amount of light received by the red pixel group R, green pixel group G, blue pixel group B, and infrared pixel group IR, respectively, to obtain a volume pulse wave 141.

[0070] Furthermore, the processing unit 102 acquires image data 142 representing a color image from signals SRi, SGi, SBi, and SRi indicating the amount of light received by the red pixel group Ri, green pixel group Gi, blue pixel group Bi, and infrared pixel group IRi for image data, respectively. However, the signal SRi indicating the amount of light received by the red pixel group Ri for image data is not a signal included in the signal SR indicating the amount of light received by the red pixel group R for acquiring a volume pulse wave, but is a signal separate from the signal SR.

[0071] The present disclosure is not limited to the above-described embodiments, and may be replaced with a configuration that is substantially the same as the configuration shown in the above-described embodiments, a configuration that has the same effect, or a configuration that can achieve the same purpose. [Explanation of symbols]

[0072] 1. Measuring equipment 101 Camera 102 Processing section 111 Lens 112 Image sensor 113 Support member 121 pixel group 131 Multiple Base Units 141 Plethysmogram 142 Image data R red pixel G Green pixel B Blue pixel IR Infrared Pixel Ri Red pixel for image data Gi Green pixel for image data Bi Blue pixel for image data IRi Infrared pixel for image data SR,SG,SB,SIR,SRi,SGi,SBi,SIRi signal LB Living organism

Claims

1. a camera comprising: a first pixel group having a peak sensitivity wavelength of 620 nm or more and 740 nm or less; and a second pixel group having a peak sensitivity wavelength of 600 nm or less or 760 nm or more and including a pixel group of at least one color, wherein the total light receiving area of ​​the first pixel group is larger than the total light receiving area of ​​the pixel groups of each color included in the at least one color; and a processing unit that processes signals indicating the amounts of light received by the first pixel group and the second pixel group to acquire biometric information of the living body; A measuring device comprising:

2. The second pixel group includes a pixel group on the short wavelength side having a peak sensitivity wavelength of 600 nm or less and a pixel group on the long wavelength side having a peak sensitivity wavelength of 760 nm or more. The measurement device according to claim 1 .

3. The second pixel group has a peak sensitivity wavelength of 600 nm or less. The measurement device according to claim 1 .

4. The first pixel group includes pixel groups of two or more colors having different spectral sensitivities. The measurement device according to claim 1 .

5. The second pixel group includes pixel groups of two or more colors having different spectral sensitivities. The measurement device according to claim 1 .

6. the imaging element includes a plurality of basic units arranged in an array; each of the plurality of basic units comprises two or more pixels; Pixels of the same color included in the plurality of pixels are arranged in clusters.

6. The measuring device according to claim 1.

7. the imaging element includes a plurality of basic units arranged in an array; the first group of pixels includes a group of red pixels; the second pixel group includes a green pixel group and a blue pixel group; each of the plurality of basic units includes an infrared pixel, a green pixel, and a blue pixel included in the red pixel group, the green pixel group, and the blue pixel group, respectively; The processing unit acquires image data representing a color image from signals indicating the amounts of light received by the red pixel group, the green pixel group, and the blue pixel group.

6. The measuring device according to claim 1.

8. the imaging element includes a plurality of basic units arranged in an array; the first group of pixels includes a group of red pixels; the second pixel group includes a green pixel group and a blue pixel group; Each of the plurality of basic units includes an infrared pixel, a green pixel, and a blue pixel that are included in the red pixel group, the green pixel group, and the blue pixel group, respectively, and are arranged in a Bayer array.

6. The measuring device according to claim 1.

9. the first group of pixels includes a first group of red pixels; the imaging element includes a second group of red pixels having a spectral sensitivity different from that of the first group of red pixels; The processing unit processes the signal indicating the amount of light received by the first red pixel group to obtain the biological information, and obtains image data representing a color image from the signal indicating the amount of light received by the second red pixel group.

6. The measuring device according to claim 1.

Images