JP7501649B2 - Biological detection device and biological information acquisition device - Google Patents

Description

The present invention relates to a biometric detection device, a biometric information acquisition device, a biometric information acquisition method, and a recording medium, and in particular to a biometric information acquisition device that acquires biometric information based on biometric data received from a biometric detection device.

In recent years, biometric information acquisition devices are becoming more widespread, which receive various vital signals (hereinafter referred to as biometric data) from a biometric detection device for the purpose of health management, etc., and acquire information about the physical and mental state of a living organism (hereinafter referred to as biometric information) by analyzing the received biometric data.

One example of biometric information that a biometric information acquisition device acquires from biometric data is pulse wave information based on the heart rate of a living body. Pulse wave information can be used not only as an indicator of health information itself, but also to estimate internal information such as stress.

Some biosensing devices use sensors. For example, Patent Document 1 describes an optical sensor module equipped with multiple light-emitting elements and one light-receiving element. Smart devices such as smart watches and data loggers are examples of biosensing devices.

In many cases, wristband-type (also called watch-type) biosensing devices are used. This is because wristband-type biosensing devices are easy to attach to a living body. However, wristband-type biosensing devices have the disadvantage that they are easily affected by the age and body shape of the living body. Specifically, since most wristband-type biosensing devices are designed for adult men, if the user is a woman, an elderly person, or a minor, a gap will occur between the biosensing device and the user's arm, making it difficult to detect accurate biosensing data.

On the other hand, adhesive biosensing devices that can be attached directly to the skin adhere more closely to the skin than wristband-type biosensing devices, and are therefore expected to have the advantages of placing less strain on the skin and causing less data loss, and many developments are currently underway.

As described above, when it comes to biosensing devices for obtaining biometric data from the human body, wristband-type devices are chosen for their ease of wearing, while patch-type devices are chosen for their accuracy of the data obtained, and much research and development is being conducted on both.

JP 2018-094412 A JP 2006-521888 A

When measuring biometric data using a stick-on biosensing device, noise corresponding to the movement of the human body is superimposed on the biometric data. In addition, noise is also generated due to the expansion and contraction or twisting of the biosensing device itself. In particular, in order to give flexibility to stick-on biosensing devices, the sensors equipped in the biosensing devices are often placed on thin circuit boards. The movement of the human body causes the thin circuit board to elastically deform, changing the wiring resistance and capacitance. As a result, the output of the sensor fluctuates, and noise corresponding to the movement of the human body is generated. Since it is practically impossible to predict the occurrence of such noise, it is difficult to reliably remove noise from biometric data using only predetermined calculation processing. However, in order to obtain high-quality biometric information, high-quality biometric data with little noise is required.

The present invention has been made in consideration of the above problems, and its purpose is to obtain highly accurate biometric information from high-quality biometric data.

A biological detection device according to one embodiment of the present invention comprises a sensor for measuring a biological organism, a pseudo sensor having input and output equivalent to that of the sensor but not having the function of detecting signals from the biological organism, and one or more substrates including a substrate on which the sensor and the pseudo sensor are arranged.

A biometric information acquisition device according to one embodiment of the present invention includes a measurement means for measuring biometric data using a sensor and a pseudo sensor provided in a biometric detection device according to one embodiment of the present invention, and an analysis means for acquiring biometric information by analyzing the biometric data.

A method for acquiring biometric information according to one embodiment of the present invention includes measuring biometric data using a sensor and a pseudo sensor provided in a biometric detection device according to one embodiment of the present invention, and acquiring the biometric information by analyzing the biometric data.

A recording medium according to one embodiment of the present invention stores a program for causing a computer to measure biometric data using a sensor and pseudo sensor provided in a biometric detection device according to one embodiment of the present invention, and to obtain biometric information by analyzing the biometric data.

According to one aspect of the present invention, highly accurate biometric information can be obtained from high-quality biometric data.

1 shows a schematic configuration of a system including a biological detection device and a biological information acquisition apparatus. 1 is a block diagram showing a configuration of a biometric information acquiring device according to a first embodiment. 4 is a graph showing an example of measurement data output by a sensor of the biological detection device according to the first embodiment and an example of non-biological data output by a pseudo sensor. 11 is a graph showing an example of biological data calculated based on measurement data and non-biological data. 4 is a flowchart showing an operation of the biometric information acquiring apparatus according to the first embodiment. FIG. 11 is a block diagram showing a configuration of a biological detection device according to a second embodiment. 13 shows an example of a circuit of a sensor provided in a biological detection device according to a second embodiment. 13 is a schematic diagram showing an example of a circuit configuration of a sensor and a circuit configuration of a pseudo sensor included in a biological detection device according to a second embodiment. FIG. 11 is a block diagram showing a configuration of a biological detection device according to a third embodiment. FIG. 13 is a block diagram showing a configuration of a modified example of a biological detection device according to the third embodiment. FIG. 13 is a block diagram showing a configuration of another modified example of the biological detection device according to the third embodiment. FIG. 13 is a block diagram showing a configuration of a biological detection device according to a fourth embodiment. 13 is a schematic diagram showing an example of a circuit configuration of a sensor and a circuit configuration of a pseudo sensor included in a biological detection device according to a fourth embodiment. 13 shows an outline of the configuration of a system according to a fifth embodiment. 1 illustrates an example of a hardware configuration of a biometric information acquisition device according to any one of the first to fifth embodiments.

A detailed description of the embodiments is provided below.

(Common to all embodiments and modifications)
Fig. 1 shows a schematic configuration of a system 1 common to the first to fifth embodiments and their modified examples described below. As shown in Fig. 1, the system 1 includes a biosensing device 100 (100A, 100B) and a biosensing device 10. In Fig. 1, the biosensing device 100 (100A, 100B) indicates any one of the biosensing device 100, the biosensing device 100A, and the biosensing device 100B described later. The biosensing device 10 and the biosensing device 100 (100A, 100B) can communicate wirelessly or wired using their respective communication functions.

The biometric information acquisition device 10 operates the biometric detection device 100 (100A, 100B) by transmitting a control signal to the biometric detection device 100 (100A, 100B) as described below.

As an example, the biosensing device 100 (100A, 100B) inputs an optical signal to a living organism (not shown in the figure, for example, a human). The optical signal passes through the skin of the living organism and is partially scattered and partially absorbed by tissue within the organism. The scattered or reflected light is then emitted from the living organism to the outside. The biosensing device 100 (100A, 100B) detects the light emitted from the living organism to the outside. The biosensing device 100 (100A, 100B) acquires measurement data and non-biological data (described later) based on the detected light, and transmits the measurement data and non-biological data to the bioinformation acquisition device 10.

The biometric information acquisition device 10 receives measurement data and non-biometric data from the biometric detection device 100 (100A, 100B), calculates biometric data based on the measurement data and non-biometric data, and analyzes the biometric data to acquire biometric information. Specific examples of methods for calculating biometric data based on the measurement data and non-biometric data will be described in the first embodiment and onwards.

Biometric information is information relating to the mind and body of a living organism, and in particular is a measurable indicator related to the health condition of the living organism. For example, the biometric information is pulse rate, blood flow, blood oxygen concentration, brain waves, respiratory rate, blood pressure, or sweat rate. The biometric information acquisition device 10 may output the biometric information acquired in this manner to an external device (e.g., a display). An example of a specific process executed by the biometric information acquisition device 10 will be described in embodiment 1 below.

(Modification)
In one modified example, the biological detection device 100 (100A, 100B) generates biological data based on the measurement data output by the sensor 200 (FIG. 6) and the non-biological data output by the pseudo sensor 250 (FIG. 6). Then, the biological detection device 100 (100A, 100B) transmits the biological data to the biological information acquisition device 10. In this case, the biological information acquisition device 10 analyzes the biological data itself received from the biological detection device 100 (100A, 100B).

[Embodiment 1]
The first embodiment will be described with reference to FIGS.

(Biometric information acquisition device 10)
2 is a block diagram showing the configuration of the biological information acquiring device 10 according to the present embodiment 1. As shown in FIG. 2, the biological information acquiring device 10 includes a measurement unit 11 and an analysis unit 12.

The measurement unit 11 measures biometric data using the sensor 200 and pseudo sensor 250 (Figure 6) provided in the biometric detection device 100 described in embodiment 2. The measurement unit 11 is an example of a measurement means. The biometric data includes the biometric information described above. The analysis unit 12 acquires the biometric information by analyzing the biometric data. The analysis unit 12 is an example of an analysis means.

In this embodiment 1, the biological detection device 100 has a sensor 200 that measures a biological organism, and a pseudo sensor 250 that has inputs and outputs equivalent to the sensor 200, but does not have the function of detecting signals from the biological organism. As an example of the biological detection device 100, the sensor 200 projects light of a fixed wavelength or wavelength range onto the biological organism. Hereinafter, the biological detection device 100 according to this embodiment 1 will be described as having one or more pairs of the sensor 200 and the pseudo sensor 250.

The measurement unit 11 controls one or more pairs of sensors 200 and pseudo sensors 250 of the biological detection device 100.

First, the measurement unit 11 determines the time for which to continue measuring the biometric data using the biometric detection device 100 depending on the content of the biometric information targeted by the biometric information acquisition device 10.

As an example, we will explain the approximate time that the measurement unit 11 continues measurement when the bioinformation acquisition device 10 acquires pulse wave information as bioinformation. There are several known methods for measuring pulse waves. In general, the pulse wave is calculated from changes in the volume of blood vessels, changes in components such as blood cells, and changes in the expansion and contraction of blood vessels, and these changes are sensed as needed to derive the pulse wave waveform. Therefore, it is necessary to select a wavelength that can sense the above-mentioned changes in volume, changes in components such as blood cells, and changes in the expansion and contraction of blood vessels.

In the above case, the measurement unit 11 needs to perform the measurement for a period of time that allows at least one pulse wave to be acquired. For most people, the pulse rate per minute is between 40 (1 beat per 1.5 seconds) and 100 (1 beat per 0.6 seconds). Therefore, measurement for approximately one to several seconds is required.

In one example, the measurement unit 11 first inputs a test signal to the living body using one or more sensors 200. Specifically, the measurement unit 11 causes one or more light-emitting elements (not shown) provided in each of the one or more sensors 200 to emit light of a fixed wavelength or wavelength range as a test signal from the sensor 200, and receives the light reflected from the living body by one or more light-receiving elements provided in each of the one or more sensors 200. For example, the light-receiving elements include photoconductive cells, photovoltaic cells, photoresistors, photodiodes, and phototransistors. Some examples of the circuit configuration of the sensor 200 will be described later (Figures 7 to 8).

The test signal passes through the skin of the living body, and is partially scattered and partially absorbed by the tissues within the living body. Each of the one or more sensors 200 receives light emitted from within the living body to the outside by one or more light receiving elements. Each of the one or more sensors 200 acquires measurement data (Figure 3) based on the light received by the one or more light receiving elements. Each of the one or more sensors 200 then transmits the measurement data to the measurement unit 11. The measurement data is biological data containing biological information with noise superimposed thereon. In other words, the measurement data includes biological data containing biological information and non-biological data (noise) that does not contain biological information.

On the other hand, one or more pseudo sensors 250 are synchronized with the sensor 200 with which they are paired, and acquire non-biological data (FIG. 3) at the same timing as the sensor 200 acquires the measurement data. One or more pseudo sensors 250 have inputs and outputs equivalent to the sensor 200, and do not have a function for detecting signals from a living body. In one example, the pseudo sensor 250 is obtained by covering the light receiving element of the sensor 200 with a light-shielding material such as black paint so that the light receiving element does not detect light. More generally, the pseudo sensor 250 is obtained by making the functional element of the sensor 200 not function. Alternatively, the pseudo sensor 250 can also be obtained by replacing the light receiving element of the sensor 200 with a resistor having a resistance value equivalent to that of the light receiving element when the light receiving element is not receiving light. More generally, the pseudo sensor 250 may be provided with an equivalent circuit of the functional element when the functional element is not detecting a signal from a living body, instead of the functional element of the sensor 200. In the above example, the functional element is a general term for a circuit element that realizes a function for the sensor 200 to detect a signal from a living body. The non-biological data corresponds to a noise component obtained by removing the biological data from the measurement data. In other words, the non-biological data does not include biological information.

In this way, the measurement unit 11 receives measurement data and non-biological data from one set of the sensor 200 and pseudo sensor 250. Using the above procedure, the measurement unit 11 operates N sets (N is an integer equal to or greater than 1) of the sensors 200 and pseudo sensors 250 provided in the biological detection device 100 together. This allows the measurement unit 11 to obtain N sets of measurement data and non-biological data from the biological detection device 100.

Next, the measurement unit 11 calculates biological data based on the N sets of measurement data and non-biological data obtained from the biological detection device 100.

First, the measurement unit 11 selects one of the N sets of measurement data and non-biological data based on a predetermined condition. In one example, the measurement unit 11 calculates the difference between each set of measurement data and non-biological data at a specific time, and selects the set with the largest calculated value. The measurement unit 11 obtains biological data (Figure 4) by calculating the difference between the set of measurement data and non-biological data selected based on the predetermined condition. The flow of the method by which the measurement unit 11 calculates the biological data will be explained later.

By calculating the difference between the measurement data output from the sensor 200 and the non-biological data output from the pseudo sensor 250, noise components are removed from the measurement data. As a result, the measurement unit 11 can obtain high-quality biological data with little noise.

Alternatively, as described in the third embodiment below, the measurement unit 11 may acquire the biological data itself from the biological detection device 100. In this case, the biological detection device 100 generates biological data based on the measurement data and the non-biological data, and transmits the biological data to the biological information acquisition device 10.

Then, the measurement unit 11 outputs the calculated or acquired biometric data to the analysis unit 12.

Figure 3 is a graph showing an example of measurement data obtained from one sensor 200, and an example of non-biological data obtained from one pseudo sensor 250 paired with this sensor 200. In Figure 3, the measurement data is shown by a solid line, and the non-biological data is shown by a dashed line.

Figure 4 is a graph showing an example of biological data obtained by calculating the difference between the measurement data and non-biological data. However, the biological data shown in Figure 4 is not obtained from the measurement data and non-biological data shown in Figure 3. The biological data shown in Figure 4 shows a periodic structure based on the pulse wave of the living body.

The analysis unit 12 acquires biometric information by analyzing the biometric data obtained as a result of the measurement. The analysis unit 12 is an example of an analysis means.

In one example, the analysis unit 12 receives biometric data (Figure 4) based on the measurement data and non-biometric data from the measurement unit 11.

The analysis unit 12 analyzes the biometric data to obtain biometric information. For example, the analysis unit 12 obtains the biometric information as described above by analyzing the biometric data using the method described in Patent Document 1 or 2. The analysis unit 12 may output the obtained biometric information to an external device (e.g., a display device).

(Operation of Biometric Information Acquisition Device 10)
The operation of the biometric information acquiring device 10 according to the first embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart showing the flow of processes executed by each unit of the biometric information acquiring device 10.

As shown in FIG. 5, first, the measurement unit 11 measures biometric data using one or more pairs of sensors 200 and pseudo sensors 250 provided in the biometric detection device 100 (S1).

The measurement unit 11 outputs the biometric data obtained as a result of the measurement to the analysis unit 12. In one variant, the measurement unit 11 may receive the biometric data from the biometric detection device 100 and output the biometric data itself received from the biometric detection device 100 to the analysis unit 12.

Next, the analysis unit 12 analyzes the biometric data acquired from the measurement unit 11 and acquires the biometric information exemplified above (S2). This completes the operation of the biometric information acquisition device 10.

So far, we have described the biometric information acquisition device 10 according to the first embodiment. In the second embodiment, we will describe the biometric detection device 100 (100A, 100B) that communicates with the biometric information acquisition device 10 in the system 1 (FIG. 1).

[Embodiment 2]
A second embodiment will be described with reference to FIGS.

(Biodetection device 100)
FIG. 6 is a block diagram showing an example of the configuration of the biological detection device 100 according to the second embodiment. In one example, the biological detection device 100 is used in a state where it is attached to a living body. The biological detection device 100 shown in FIG. 6 includes a sensor 200 that measures a living body, a pseudo sensor 250 that has input and output equivalent to the sensor 200 and does not have a function for detecting a signal from the living body, and a substrate 101 on which the sensor 200 and the pseudo sensor 250 are arranged. However, the number of substrates included in the biological detection device 100 is not limited. For example, the biological detection device 100 may include multiple substrates including the substrate 101 on which the sensor 200 and the pseudo sensor 250 are arranged. In addition, in the example shown in FIG. 6, only one pair of the sensor 200 and the pseudo sensor 250 are shown. However, the biological detection device 100 may include two or more pairs (multiple pairs) of the sensor 200 and the pseudo sensor 250.

The sensor 200 may be used by the biometric information acquisition device 10 to measure biometric data. The sensor 200 may be of any type as long as it can measure biometric data including biometric information in some form. Specific examples of the sensor 200 include an optical sensor, a resistive sensor, and a capacitive sensor.

For example, resistive and capacitive sensors are used by attaching or pasting electrodes on the skin or other parts of the human body, and detect weak voltages and currents generated in the human body and the resulting changes in capacitance. On the other hand, optical sensors use a light-emitting element to emit light of a wavelength that is transmitted through or reflected by the human body, and receive vital signals (i.e., biological data) from changes in the optical absorption of the transmitted or reflected light.

In one example, the sensor 200 can be configured as an optical sensor that combines a light-emitting element and a light-receiving element. In this case, the light-emitting element is, for example, an LED (light emitting diode) that emits light when a current is passed through it, and LEDs made of inorganic materials and organic materials can be used as the light-emitting element. The light-emitting element is not limited in material or shape as long as it can emit light of a fixed wavelength. A photoelectric conversion element that can convert light into electricity and current can be used as the light-receiving element. The light-receiving element may be made of either an inorganic or organic material, and is not limited in material or shape as long as it has light-receiving sensitivity to a specific arbitrary wavelength.

The substrate 101 elastically deforms due to the body movements of the living organism wearing the biosensing device 100. The deformation of the substrate 101 changes the resistance value of the circuit resistor of the stretchable wiring arranged on the substrate 101. These changes are detected as changes in the output of the sensor 200. In other words, the body movements of the living organism wearing the biosensing device 100 cause noise to be superimposed on the output of the sensor 200.

Conceptually, the pseudo sensor 250 has a structure in which the sensing function has been removed from the sensor 200. In one example, the sensor 200 has a light-emitting element and a light-receiving element with sensing functions. In this example, the light-receiving element of the sensor 200 is coated with black paint to prevent the light-receiving element from detecting light. In other words, the amount of light received by the light-receiving element is always set to zero. This creates the pseudo sensor 250. In addition, the light-emitting element may be replaced with a passive element such as a resistor that corresponds to the light-emitting element. Coating the light-receiving element with black paint so that the light-receiving element does not detect light is conceptually equivalent to replacing the photoresistor (an example of a light-receiving element) shown in FIG. 7 with a resistor having the same resistance value as the resistance value of the photoresistor when the amount of light received is zero.

When the substrate 101 is elastically deformed, the wiring of the circuit of the sensor 200 and the circuit of the pseudo sensor 250 expands and contracts minutely. Wiring that can expand and contract by tension in this way is called stretchable wiring. When the stretchable wiring expands and contracts, the resistance value of the circuit resistor R1 corresponding to the stretchable wiring also changes. As a result, the outputs of the sensor 200 and the pseudo sensor 250 change over time, as illustrated in FIG. 3. The output of the sensor 200 depends on both the light receiving element that receives the signal from the living body and the circuit resistance of the stretchable wiring associated with the movement of the living body. On the other hand, the output of the pseudo sensor 250 depends only on the circuit resistance of the stretchable wiring associated with the movement of the living body. However, in FIG. 3, the output of the sensor 200 and the output of the pseudo sensor 250 are normalized. As the living body moves, the way in which the substrate 101 is deformed changes over time, so the resistance value of the circuit resistor also changes over time. This change is observed as noise in the output of the sensor 200.

In one example, the length and thickness of the stretchable wiring that constitutes the circuit of the sensor 200 are exactly the same as the length and thickness of the stretchable wiring that constitutes the circuit of the pseudo sensor 250. Therefore, the sensor 200 and the pseudo sensor 250 always have the same circuit resistance R1. In another example, the sensor 200 may be an active type having a transistor structure. In this case, the sensor 200 is composed of passive elements such as resistors as well as functional elements and transistors. On the other hand, the pseudo sensor 250 has the same structure, form, and shape as the sensor 200, except for the resistor R2 that replaces the light receiving element.

The pseudo sensor 250 may be made of the same material as the sensor 200. For example, the sensor 200 is an optical sensor, and the functional element is a light receiving element. In one example, the sensor 200 has a structure in which a light receiving layer made of a photoelectric material for realizing the light receiving function is connected by stretchable wiring made of metal and wire.

In one example of the biological detection device 100 shown in Figure 6, a pseudo sensor 250 is placed near the sensor 200. As a result, the output of the pseudo sensor 250 reproduces the noise components contained in the measurement data output from the sensor 200.

6 omits elements other than the sensor 200 and pseudo sensor 250 of the biological detection device 100. However, the biological detection device 100 may further include a power supply element, a computing element, a communication element, a memory, and the like in addition to one or more pairs of the sensor 200 and the pseudo sensor 250 (embodiments 3 and 4 described below).

(An example of the sensor 200: an optical sensor)
The case where the sensor 200 according to the second embodiment is an optical sensor will be described. The sensor 200 includes one or more light-emitting elements capable of emitting light at a fixed wavelength (hereinafter, referred to as λ) and one light-receiving element having sensitivity in a wavelength range including the wavelength λ. Note that one or more pairs of sensors 200 and pseudo sensor 250 included in the living body detection device 100 each include one or more light-emitting elements and one light-receiving element, but the above-mentioned wavelength λ may be different for each sensor 200. Alternatively, the wavelength λ may be common for some sensors 200 among the one or more sensors 200 included in the living body detection device 100, while the wavelength λ may be different for the remaining sensors 200.

In one example, one or more pairs of sensors 200 and pseudo sensors 250 provided in the biological detection device 100 are provided with one or more light-emitting elements that emit light at different fixed wavelengths (λ = λ1, λ2, ...). Meanwhile, one or more light-receiving elements are sensitive to a wavelength range common to one or more pairs of sensors 200 and pseudo sensors 250. The wavelength range to which one or more light-receiving elements are sensitive includes all of the fixed wavelengths (λ = λ1, λ2, ...) of light output by one or more light-emitting elements provided in each sensor 200. Each sensor 200 generates biological data based on the light of the fixed wavelengths (λ = λ1, λ2, ...) output by one or more light-emitting elements.

As an example of the light-emitting element provided in the sensor 200, an LED that emits light when a current is passed through it may be used. However, the light-emitting element is not limited in material or shape as long as it is capable of emitting light in a specific wavelength range or wavelength. Both inorganic and organic materials can be used as the light-emitting element.

There are no particular limitations on the light emission intensity of the light-emitting element, so long as the reflected light obtained through the human body (living body) can be received by the light-receiving element, but it is desirable for the light-emitting element to emit light at or below the standard value of the forward current set for the light-emitting element. Specifically, when the LED described in one embodiment is used as the light-emitting element, it is desirable for the light-emitting element to be used at or below the standard value of the forward current of this LED (20 mA in one example).

The light receiving element of the sensor 200 is a photoelectric conversion element capable of converting light into electricity and current. As with the light emitting element, the light receiving element can be made of either an inorganic or organic material. There are no restrictions on the material or shape of the light receiving element, so long as it has sensitivity to a wavelength range that includes all the wavelengths of light (λ = λ1, λ2, ...) output by the light emitting elements of one or more pairs of sensors 200 and pseudo sensor 250. However, the light receiving element must have sufficient sensitivity to the wavelength or wavelength range covered by the light emitted by the light emitting element.

There are no particular limitations on the measurement period by the sensor 200, so long as it is possible to detect biological data based on the pulse wave. However, if the measurement period is too long, the accuracy of pulse wave detection will decrease. On the other hand, if the measurement period is short, it will not adversely affect the measurement accuracy, but it will increase the amount of data and power consumption due to the measurement. For this reason, it is desirable to perform the measurement at a period of 10 Hz to 200 Hz in frequency conversion.

Next, a specific example of a method for determining the wavelength λ is described below.

The wavelength λ is determined so that, with regard to the amount of plasma in blood, it is possible to mainly monitor the water content in the plasma; with regard to changes in components such as blood cells, it is possible to monitor each blood cell component such as red blood cells, white blood cells, and platelets; and, when monitoring the expansion and contraction of blood vessels, it is possible to monitor the blood vessel walls. For example, hemoglobin, a pigment component in red blood cells, absorbs light at 600 nm or less, so λ is determined to be 600 nm or less. On the other hand, water such as blood plasma absorbs light well in the infrared region, so a wavelength equivalent to infrared light (specifically 750 nm or more) is selected as λ. However, as long as changes in the components can be monitored, it is possible to select the wavelength λ from a wider wavelength range than the above, even if λ deviates from the maximum absorption wavelength of the component.

Therefore, λ can be selected from wavelengths below 380 nm, which are considered to have adverse effects on the human body as ultraviolet light, or from the range of 380 nm to 1000 nm, excluding the region above 1000 nm, where the influence of absorption by other components of the human body is significant. However, since monitoring changes in blood cell components provides greater accuracy, it is desirable for λ to be a wavelength equivalent to green light of 500 nm to 600 nm.

(Circuit configuration of sensor 200 and pseudo sensor 250)
FIG. 7 shows an example of the circuit of the sensor 200. In FIG. 7, a "photoresistor" is a type of electronic component whose resistance value changes depending on the amount of light received, and corresponds to a light receiving element (an example of a functional element). Vout indicates the output of the sensor 200. In addition, Vin indicates the input, and R1 indicates the circuit resistance. The substrate 101 of the sensor 200 is elastically deformed due to the movement of the living body wearing the living body detection device 100. The circuit resistance R1 shown in FIG. 7 temporarily changes due to the deformation of the circuit substrate, causing fluctuations in the output (Vout) of the sensor 200. This fluctuation generates noise in the signal from the living body.

Figure 8 shows a specific example of the circuit configuration of each of the paired sensor 200 and pseudo sensor 250. The circuit configuration of the sensor 200 shown in Figure 8 is a schematic diagram of the circuit shown in Figure 7. However, in Figure 8, a part of the circuit connecting the terminals 1-2 shown in Figure 7 is shown, but a part of the circuit extending from the middle of the terminals 1-2 to the right toward Vout is omitted. The circuit of the pseudo sensor 250 is conceptually the circuit of the sensor 200 shown in Figure 7, except that the light receiving element (photoresistor) is replaced with a resistor R2 having the same resistance value as the resistance value when the amount of light received by the light receiving element is zero. The resistor R2 replaced by the light receiving element is connected in series with the circuit resistor R1 shown in Figure 7. Due to the movement of the living body wearing the living body detection device 100, the circuit resistor R1 of the pseudo sensor 250 also temporarily changes due to the deformation of the substrate 101, causing fluctuations in Vout. Since the fluctuation in the output of the sensor 200 and the fluctuation in the output of the pseudo sensor 250 have the same cause, the patterns of these fluctuations are common. In particular, when the pseudo sensor 250 is disposed in the vicinity of the sensor 200 on the substrate 101, the magnitude of the fluctuation in the output of the sensor 200 and the magnitude of the fluctuation in the output of the pseudo sensor 250 become approximately the same.

Figure 8 shows a schematic example of a circuit configuration of a passive sensor 200. In Figure 8, the sensor 200 is composed of terminals 1-2 (black circles) and a functional element. On the other hand, the pseudo sensor 250 has a resistor R2 between terminals 1-2 instead of a functional element. The resistor R2 corresponds to the functional element when the photoelectric conversion function is not working. In this respect, the circuit configuration of the sensor 200 differs from the circuit configuration of the pseudo sensor 250. The functional element of the sensor 200 shown in Figure 8 corresponds to the functional element of the sensor 200 shown in Figure 6.

When the sensor 200 is an active type that can be switched ON/OFF, a TFT (thin-film-transistor) and another input connected to the gate of the TFT are added to the circuit of the sensor 200 shown in FIG. 7. The source and drain of the TFT are connected between the input Vin and the circuit resistor R1. Note that the TFT is not a functional element because it is unrelated to the sensing function. In this case, the circuit of the pseudo sensor 250 is the same as the circuit of the sensor 200, except that the light receiving element (photoresistor) is replaced with resistor R2.

(Effects of this embodiment)
According to the configuration of this embodiment, the biosensing device 100 includes a sensor 200 that measures a living body, and a pseudo sensor 250 that has inputs and outputs equivalent to the sensor 200 and does not have a function for detecting signals from a living body. The bioinformation acquisition device 10 also includes a measurement unit 11 that measures biodata using the sensor 200 and the pseudo sensor 250 included in the biosensing device 100, and an analysis unit 12 that acquires bioinformation by analyzing the biodata. The sensor 200 of the biosensing device 100 measures a living body to obtain measurement data including bioinformation. However, the measurement data also includes noise due to unpredictable movements of the living body. On the other hand, the pseudo sensor 250 of the biosensing device 100 is configured without the function for detecting signals from a living body from the sensor 200. Therefore, the pseudo sensor 250 can obtain non-biological data that is only noise and does not include bioinformation.

The bioinformation acquisition device 10 can obtain high-quality biodata from the difference between the measurement data and the non-biological data, with noise components removed from the measurement data. Alternatively, when the biosensing device 100 generates biodata from the measurement data and the non-biological data, the bioinformation acquisition device 10 can obtain the high-quality biodata itself from the biosensing device 100.

Therefore, the biometric information acquisition device 10 can obtain highly accurate biometric information from high-quality biometric data.

[Embodiment 3]
In the third embodiment, a subordinate concept of the biological detection device 100 described in the second embodiment, or an example of a detailed configuration included in the concept presented by the biological detection device 100 will be described.

The relationship between the biometric detection device 100A (100A', 100A") and the biometric information acquisition device 10 described in this embodiment 3 is the same as the relationship between the biometric detection device 100 and the biometric information acquisition device 10 described in embodiment 2. In other words, in this embodiment 3, the configuration and operation of the biometric information acquisition device 10 are unchanged from embodiment 1. Therefore, in the following, the description of the configuration and operation of the biometric information acquisition device 10 will be omitted.

(Biodetection device 100A)
Fig. 9 is a schematic diagram showing the configuration of a biological detection device 100A according to the present embodiment 3. The biological detection device 100A shown in Fig. 9 includes a substrate 101, a pair of a sensor 200 and a pseudo sensor 250, a power supply element 300, a computing element 400, a communication element 500, and a memory 600. That is, the biological detection device 100A differs from the biological detection device 100 (Fig. 6) described in the above-mentioned embodiment 2 in that it includes a power supply element 300, a computing element 400, a communication element 500, and a memory 600.

In the biological detection device 100A, the sensor, pseudo sensor 250, power supply element, computing element 400, communication element 500, and memory 600 are all arranged on a single substrate 101.

FIG. 9 shows only one set of sensors 200 and pseudo sensors 250. However, the biological detection device 100A may have multiple sets of sensors 200 and pseudo sensors 250.

There is no particular regulation regarding the positional relationship between the pseudo sensor 250 and the sensor 200. However, if the sensor 200 and the pseudo sensor 250 are too close, they will interfere with each other, while if they are too far apart, a discrepancy may occur between the deformation imparted to the sensor 200 when the biological detection device 100A is attached to a living body and the deformation imparted to the pseudo sensor 250. Therefore, it is desirable that the pseudo sensor 250 and the sensor 200 are arranged on the substrate 101 at an interval of several μm to 1 cm.

It is not essential that one sensor 200 and one pseudo sensor 250 form a pair. In other words, one pseudo sensor 250 may form a pair for multiple sensors 200, or multiple pseudo sensors 250 may form a pair for one sensor 200. In one example of the former, multiple sensors 200 share the same pseudo sensor 250. In another example of the latter, multiple pseudo sensors 250 are arranged in the vicinity of the sensor 200. The latter will be described in detail in embodiment 4.

When the biological detection device 100A includes multiple sets of sensors 200 and pseudo sensors 250, the multiple sensors 200 and the multiple pseudo sensors 250 may be arranged in a line on a single substrate 101. Alternatively, the multiple sets of sensors 200 and the multiple pseudo sensors 250 may be arranged in a matrix on a single substrate (variation 1). However, there are no particular limitations on how the multiple sensors 200 and the multiple pseudo sensors 250 are arranged on the substrate 101, except for the physical size and shape of the substrate 101.

The material of the substrate 101 is not particularly limited as long as it has a shape and material that allows the sensor 200 and other elements to be mounted thereon. Considering that the biological detection device 100A will be attached or affixed to a living body, it is preferable that the substrate 101 be made of a flexible material, such as a film substrate or a thin glass epoxy resin.

There are many options for the power supply element 300, including weight, shape, and whether it is a primary or secondary power supply. However, the power supply element is not limited as long as it can supply sufficient power to the sensor 200, pseudo sensor 250, computing element 400, and communication element 500. For example, the power supply element 300 may be a common power supply element such as a dry cell, button cell, or lithium ion battery.

The computing element 400 is not particularly limited as long as it can control the sensor 200 and the pseudo sensor 250 or the driver of the sensor 200 and the pseudo sensor 250 mounted on the biological detection device 100A. The process of obtaining the difference between the measurement data obtained from the sensor 200 and the non-biological data obtained from the pseudo sensor 250 may be performed on the biological detection device 100A, or may be performed on the biological information acquisition device 10, or may be performed on the information relay device 150 (embodiment 5) described later. In order to obtain biological data on the biological detection device 100A, the computing element 400 needs to execute a process of calculating the difference between the measurement data and the non-biological data.

The communication element 500 is for communicating between the biosensing device 100A and the bioinformation acquisition device 10. There are no limitations on the type or specifications of the communication element 500, so long as it is possible to exchange various data and control signals between the sensor 200 or the biosensing device 100A and the bioinformation acquisition device 10.

In one example, a wireless or wired communication element 500 is selected based on the communication volume (signal volume), communication distance, and power consumption. For example, wireless types include Wi-Fi (registered trademark), Bluetooth (registered trademark), and Bluetooth LE (registered trademark). Of course, it is also possible to select a wired communication element 500, but in that case, the design and characteristics of the biological detection device 100A are significantly limited. For this reason, it is preferable to select a wireless communication element 500.

The memory 600 temporarily stores the biometric data, and the communication element 500 transmits and receives the biometric data offline to and from the biometric information acquisition device 10. In this case, the biometric data stored in the memory 600 is processed on the biometric detection device 100A. The computing element 400 controls the operation of each part of the biometric detection device 100A by executing a program loaded into the memory 600 of the biometric detection device 100A.

(Modification of the biological detection device 100A)
A modification of the biological detection device 100A according to the third embodiment will be described with reference to FIGS.

(Variation 1)
Fig. 10 shows a modified example of the biosensing device 100A. In the biosensing device 100A' shown in Fig. 10, a plurality of pairs of the sensors 200 and the pseudo sensors 250 are arranged in a matrix on one substrate 101. Note that Fig. 10 shows only two pairs of the sensors 200 and the pseudo sensors 250. However, the biosensing device 100A' may include a large number of pairs of the sensors 200 and the pseudo sensors 250 in the vertical and/or horizontal directions on the substrate 101.

According to the configuration of the biological detection device 100A' shown in Figure 10, multiple sets of sensors 200 and pseudo sensors 250 are arranged in a matrix. The biological information acquisition device 10 obtains position information (or identification information) of each sensor 200 from the multiple sets of sensors 200 and pseudo sensors 250, along with measurement data and non-biological data.

The biometric information acquisition device 10 can obtain biometric data for each position of the sensor 200 based on the measurement data and non-biometric data, and the position information of each sensor 200. The biometric information acquisition device 10 can also obtain biometric information on the surface of the living body based on the biometric data for each position of the sensor 200. For example, the biometric information acquisition device 10 can obtain biometric information indicating the distribution of veins under the skin of the living body based on the biometric data and the position information of the sensor 200.

(Variation 2)
Another biosensing device 100A'' shown in Figure 11 has two substrates 101A, 101B. In the biosensing device 100A'', one or more pairs of sensors 200 and pseudo sensors 250 are arranged (in a line) on the substrate 101A, while the components other than the one or more pairs of sensors 200 and pseudo sensors 250 are arranged on the substrate 101B.

According to the configuration of the biosensing device 100A" shown in Figure 11, one or more pairs of sensors 200 and pseudo sensor 250 are arranged on a single substrate 101A, and other components (in Figure 11, a power supply element 300, a computing element 400, a communication element 500, and a memory 600) are arranged on another substrate 101B. This allows the shape of the biosensing device 100A" to be flexibly designed. Furthermore, by removing only the substrate 101A from the biosensing device 100A" (while not removing the substrate 101B), a faulty sensor 200 and pseudo sensor 250 can be easily replaced.

(Variation 3)
In addition, when the biological detection device 100 includes multiple substrates 101, it is possible to freely design which elements are mounted on each substrate 101, taking into consideration the size, weight, etc. of each substrate 101. In one example, as in a biological detection device 100A'' shown in FIG. 11, all the components other than the sensor 200 and pseudo sensor 250 may be mounted together on a separate substrate 101B. Alternatively, only the power supply element 300 may be mounted on the separate substrate 101B.

(Effects of this embodiment)
According to the configuration of this embodiment, the biosensing device 100A (100A', 100A") comprises a sensor 200 that measures a living organism, and a pseudo sensor 250 that has input and output equivalent to that of the sensor 200, but does not have the function of detecting signals from the living organism. The bioinformation acquisition device 10 also comprises a measurement unit 11 that measures biodata using the sensor 200 and pseudo sensor 250 provided in the biosensing device 100A (100A', 100A"), and an analysis unit 12 that acquires bioinformation by analyzing the biodata.

The sensor 200 of the biological detection device 100A (100A', 100A") obtains measurement data including biological information by measuring a biological organism as the measurement subject. However, the measurement data also includes noise due to unpredictable movements of the biological organism. On the other hand, the pseudo sensor 250 of the biological detection device 100A (100A', 100A") is configured from the sensor 200 without the function for detecting signals from a biological organism, and therefore can obtain non-biological data consisting only of noise.

The biometric information acquisition device 10 obtains measurement data and non-biometric data from the biometric detection device 100A (100A', 100A"), and from the difference between the two, can obtain high-quality biometric data from which noise components superimposed on the measurement data have been removed. Alternatively, if the biometric detection device 100A (100A', 100A") generates biometric data based on the measurement data and non-biometric data, the biometric information acquisition device 10 can obtain the high-quality biometric data itself from the biometric detection device 100A (100A', 100A").

Therefore, the biometric information acquisition device 10 can obtain highly accurate biometric information from high-quality biometric data.

[Embodiment 4]
In this embodiment 4, an example of a lower concept of the biological detection device 100 described in the embodiment 2, or a configuration different from the configuration of the biological detection device 100A (100A', 100A'') described based on the embodiment 3 and its modified example, will be described.

The relationship between the biometric detection device 100B and the biometric information acquisition device 10 described in this embodiment 4 is the same as the relationship between the biometric detection device 100 and the biometric information acquisition device 10 described in the above embodiment 1. That is, in this embodiment 4, the configuration and operation of the biometric information acquisition device 10 are the same as those in the above embodiment 1. Therefore, in the following, the description of the configuration and operation of the biometric information acquisition device 10 will be omitted.

(Biodetection device 100B)
Fig. 12 is a schematic diagram showing the configuration of a biological detection device 100B according to the fourth embodiment. The biological detection device 100B shown in Fig. 12 differs from the biological detection device 100A (Fig. 9) described in the third embodiment in that it includes two pseudo sensors 250 that form a pair with one sensor 200. Note that the biological detection device 100B may include multiple pairs of sensors 200 and pseudo sensors 250, similar to the biological detection device 100A (100A', 100A'') (Figs. 9 to 11) described in the third embodiment.

(Circuit configuration of sensor 200 and pseudo sensor 250)
13 shows an example of the circuit configuration of each of a pair of sensor 200 and two pseudo sensors 250 (a first pseudo sensor and a second pseudo sensor in FIG. 13). The circuit configurations of sensor 200 and pseudo sensor 250 shown in FIG. 13 are schematic diagrams.

Compared to the circuit configuration shown in FIG. 7 described in the second embodiment, the circuit configuration shown in FIG. 13 has one additional circuit for the pseudo sensor 250. In FIG. 13, two pseudo sensors 250 (circuits for the pseudo sensors 250) are arranged symmetrically with one sensor 200 in between.

The biological detection device 100B generates biological data based on the measurement data obtained from the sensor 200 and the non-biological data obtained from each of the first and second pseudo sensors 250. In one example, the biological data may be obtained by calculating the difference between the measurement data obtained from the sensor 200 and the average value of the non-biological data obtained from each of the first and second pseudo sensors 250.

Alternatively, as described in the first embodiment, the measurement unit 11 (FIG. 2) of the biometric information acquisition device 10 may calculate the biometric data based on the measurement data and the non-biometric data. In this case, the biometric information acquisition device 10 receives the measurement data from the sensor 200 and the non-biometric data from the two pseudo sensors 250.

In one example, the measurement unit 11 calculates the biological data based on the measurement data and the non-biological data in a similar manner to the biological detection device 100B. Specifically, the measurement unit 11 first calculates the average value of the non-biological data obtained from the first and second pseudo sensors 250, respectively. The measurement unit 11 then obtains the biological data by calculating the difference between the measurement data obtained from the sensor 200 and the calculated average value of the non-biological data.

According to the above configuration, the average value of the non-biological data obtained from each of the first and second pseudo sensors 250 is calculated. The difference between the measurement data obtained from the sensor 200 and the calculated average value of the non-biological data is calculated. This makes it possible to reduce the influence of noise changes based on the positional relationship between the sensor 200 and each pseudo sensor 250, and to obtain high-quality biological data. The reasons for this are explained in detail below.

In FIG. 13, the noise tends to become smaller in the upward direction from the first pseudo sensor 250 toward the sensor 200. For example, the biological detection device 100B is attached so as to wrap around the arm of a human (an example of a biological body). In general, the curvature of the human arm in the circumferential direction is not uniform, and the inside of the arm (the side leading to the palm) is relatively flat, and the curvature gradually increases from the inside of the arm to the outside. In such a case, when the second pseudo sensor 250 is placed on the inside of the human arm, and the sensor 200 and the first pseudo sensor 250 are placed toward the outside of the human arm in this order, the distortion of the biological detection device 100B attached to the biological body becomes smaller in the order of the first pseudo sensor 250, the sensor 200, and the second pseudo sensor 250. However, the order of the magnitude of the distortion differs depending on how the biological detection device 100B is attached to the biological body. In this case, the noise detected by the first pseudo sensor 250 is greater than the noise detected by the sensor 200 , while the noise detected by the second pseudo sensor 250 is less than the noise detected by the sensor 200 .

Therefore, by calculating the average value of the non-biological data obtained from the first and second pseudo sensors 250, the average value of the non-biological data obtained from the two pseudo sensors 250 approaches the noise components contained in the measurement data obtained from the sensor 200. Therefore, by calculating the difference between the measurement data obtained from the sensor 200 and the average value of the non-biological data obtained from the two pseudo sensors 250, the noise components of both are effectively cancelled out. As a result, high-quality biological data can be obtained.

(Effects of this embodiment)
According to the configuration of this embodiment, the biological detection device 100B includes a sensor 200 that measures a biological body, and a pseudo sensor 250 that has input and output equivalent to the sensor 200 and does not have a function for detecting a signal from the biological body. The biological information acquisition device 10 also includes a measurement unit 11 that measures biological data using the sensor 200 and the pseudo sensor 250 included in the biological detection device 100B, and an analysis unit 12 that acquires biological information by analyzing the biological data.

The sensor 200 of the living body detection device 100B obtains measurement data including biological information by measuring a living body as the measurement subject. However, in addition to biological data, the measurement data also includes noise due to unpredictable movements of the living body. On the other hand, the pseudo sensor 250 of the living body detection device 100B is configured without the function for detecting signals from a living body from the sensor 200, and therefore can obtain non-biological data that is only noise and does not contain biological information.

The bioinformation acquisition device 10 obtains measurement data and non-biological data from the bioinformation detection device 100B. Then, from the difference between these data, the bioinformation acquisition device 10 can obtain high-quality bioinformation from which noise components superimposed on the measurement data have been removed. Alternatively, when the bioinformation detection device 100B generates bioinformation from the measurement data and non-biological data, the bioinformation acquisition device 10 can obtain the high-quality bioinformation itself from the bioinformation detection device 100B.

Therefore, the biometric information acquisition device 10 can obtain highly accurate biometric information from high-quality biometric data.

In addition, according to the configuration of this embodiment, the difference between the measurement data obtained from the sensor 200 and the average value of the non-biological data obtained from the two pseudo sensors 250 is calculated. This allows the noise components contained in the measurement data and the average value of the non-biological data to cancel each other out. As a result, high-quality biological data can be obtained.

(Example of the biological detection device 100 (100A, 100B))
In the following, an example of any one of the biological detection device 100 described in the second embodiment, the biological detection device 100A described in the third embodiment, and the biological detection device 100B described in the fourth embodiment will be described. Of course, the biological detection device 100A', 100A" described in the first or second modification of the third embodiment is similar to the biological detection device 100A.

In this embodiment, ROHM's SMLMN2ECTT86C LED is used as the light-emitting element of sensor 200, and a sensor for the SMLMN2ECTT86C LED is used as the light-receiving element of sensor 200.

A total of 10 sensors 200 are mounted in a matrix of 5 rows and 2 columns with 2 mm spacing on a glass epoxy board (corresponding to the board 101) measuring 25 mm x 35 mm and 0.1 mm thick. In addition, an LIR1655 button battery (an example of a power supply element 300) and a BLE element (an example of a communication element 500) are mounted on the same glass epoxy board. After attaching the biosensing device 100 (100A, 100B) to the elbow of the subject (living body), the biosensing device 100 (100A, 100B) is operated at a frequency of 128 Hz to measure biosensing data. The biosensing device 100 (100A, 100B) measures biosensing data while the subject extends and retracts his/her elbow. As a result, it was possible to measure high-quality biosensing data with reduced noise caused by the subject's (living body) extension and retraction of his/her elbow.

[Embodiment 5]
In the fifth embodiment, a system 2 having a different configuration from the system 1 shown in FIG. 1 will be described.

Figure 14 shows a schematic configuration of system 2 according to this embodiment 5. As shown in Figure 14, in addition to the biometric information acquisition device 10 and the biometric detection device 100 (100A, 100B), system 2 further includes an information relay device 150. The configuration and operation of the biometric information acquisition device 10 according to this embodiment 5 are common to the above-mentioned embodiments 1 to 4. Note that system 2 may include a biometric detection device 100A' (Figure 10) or a biometric detection device 100A'' (Figure 11) instead of the biometric detection device 100A.

The information relay device 150 relays communication between the biometric information acquisition device 10 and the biometric detection device 100 (100A, 100B). For example, a personal computer, tablet, smartphone, or other information and communication device is used as the information relay device 150. However, the information relay device 150 may be arbitrarily determined based on the condition of the subject (biometric body) of the biometric data measurement, the communication environment, or the like.

In this embodiment 5, both the biosensing device 100 (100A, 100B) and the information relay device 150 can control the sensor 200. When the biosensing device 100 (100A, 100B) controls one or more pairs of sensors 200 and pseudo sensors 250, the computing element 400 provided in the biosensing device 100 (100A, 100B) is used. On the other hand, when the information relay device 150 controls one or more pairs of sensors 200 and pseudo sensors 250, a computer program for controlling the sensor 200 is executed using, for example, an FPGA (field-programmable gate array) or the like.

In the latter case, the information relay device 150 receives biometric data from the biometric detection device 100 (100A, 100B) and transfers the biometric data to the biometric information acquisition device 10. The information relay device 150 also receives a control signal for controlling the biometric detection device 100 (100A, 100B) from the biometric information acquisition device 10, and controls the biometric detection device 100 (100A, 100B) based on the control signal.

Furthermore, a mobile information communication device (not shown) such as a smartphone may be used to relay communication between the biometric information acquisition device 10 or the information relay device 150 and the biometric detection device 100 (100A, 100B). In this case, the mobile information communication device may first receive information from the biometric detection device 100 (100A, 100B), and then transfer the information from the biometric detection device 100 (100A, 100B) to the biometric information acquisition device 10 or the information relay device 150 from the mobile information communication device (not shown).

(Effects of this embodiment)
According to the configuration of this embodiment, the information relay device 150 relays communication between the biometric information acquisition device 10 and the biometric detection device 100 (100A, 100B). Therefore, the biometric information acquisition device 10 and the biometric detection device 100 (100A, 100B) do not need to communicate directly with each other, which improves the freedom in designing the system 2.

(Hardware configuration)
Each component of the biometric information acquisition device 10 described in the first to fifth embodiments is shown as a functional block. Some or all of these components are realized by an information processing device 900 as shown in Fig. 15. Fig. 15 is a block diagram showing an example of the hardware configuration of the information processing device 900.

As shown in FIG. 15, the information processing device 900 includes, as an example, the following configuration.

CPU (Central Processing Unit) 901
ROM (Read Only Memory) 902
RAM (Random Access Memory) 903
Program 904 loaded into RAM 903
A storage device 905 for storing a program 904
A drive device 907 for reading and writing data from and to the recording medium 906
A communication interface 908 for connecting to a communication network 909
An input/output interface 910 for inputting and outputting data
A bus 911 connecting each component
Each of the components of the biometric information acquisition device 10 described in the first to fifth embodiments is realized by the CPU 901 reading and executing a program 904 that realizes these functions. The program 904 that realizes the functions of each component is, for example, stored in advance in the storage device 905 or the ROM 902, and is loaded into the RAM 903 and executed by the CPU 901 as necessary. The program 904 may be supplied to the CPU 901 via the communication network 909, or may be stored in advance in the recording medium 906, and the drive device 907 may read out the program and supply it to the CPU 901.

(Effects of this embodiment)
According to the configuration of the present embodiment, the biometric information acquiring device 10 described in the above embodiment is realized as hardware, and therefore, the same effects as those described in the above embodiment can be achieved.

[Additional Notes]
A part or all of the above-described embodiments can be described as, but is not limited to, the following supplementary notes.

(Appendix 1)
A sensor for measuring a living body;
A pseudo sensor having an input and output equivalent to the sensor, but not having a function for detecting a signal from the living body;
and one or more substrates including a substrate on which the sensor and the pseudo sensor are arranged.

(Appendix 2)
The present invention includes one of the sensors and two of the pseudo sensors,
The biological detection device according to claim 1, wherein the two pseudo sensors are arranged at symmetrical positions with respect to one of the sensors.

(Appendix 3)
The biological detection device according to claim 1 or 2, wherein the sensor is an optical sensor, and a function for detecting a signal from the biological body is realized by a light receiving element.

(Appendix 4)
The living body detection device described in Appendix 3, characterized in that the pseudo sensor is obtained by replacing the light receiving element of the sensor with a resistor equivalent to the light receiving element when there is no signal from the living body.

(Appendix 5)
The biological detection device according to claim 3, wherein the pseudo sensor is obtained by covering the light receiving element of the sensor with black paint.

(Appendix 6)
The biological detection device according to any one of claims 1 to 5, wherein the biological detection device is used in a state where it is attached to the skin of the biological body.

(Appendix 7)
The biological detection device according to any one of claims 1 to 6, further comprising: generating biological data based on the measurement data output from the sensor and the non-biological data output from the pseudo sensor.

(Appendix 8)
A measurement means for measuring biological data using a sensor and a pseudo sensor included in the biological detection device according to any one of claims 1 to 7;
and an analysis means for acquiring biometric information by analyzing the biometric data.

(Appendix 9)
The biometric information acquisition device described in Appendix 8, characterized in that the measurement means receives measurement data output from the sensor and non-biometric data output from the pseudo sensor from the biometric detection device, and obtains the biometric data by calculating a difference between the biometric data and the non-biometric data.

(Appendix 10)
The biometric information acquisition device described in Appendix 8, characterized in that the measurement means receives, from the biometric detection device, biometric data obtained based on the measurement data output from the sensor and the non-biometric data output from the pseudo sensor.

(Appendix 11)
Using a sensor and a pseudo sensor included in the biological detection device according to any one of Supplementary Notes 1 to 7, biological data is measured;
acquiring biometric information by analyzing the biometric data.

(Appendix 12)
Measuring biological data using a sensor and a pseudo sensor included in the biological detection device according to any one of Supplementary Notes 1 to 7;
and acquiring biometric information by analyzing the biometric data.

REFERENCE SIGNS LIST 10 Biometric information acquisition device 11 Measurement unit 12 Analysis unit 100 Biometric detection device 100A Biometric detection device 100B Biometric detection device 101 Substrate 101A Substrate 101B Substrate 200 Sensor 250 Pseudo sensor

Claims (10)

A sensor for measuring a living body;
A pseudo sensor having an input and output equivalent to the sensor, but not having a function for detecting a signal from the living body;
one or more substrates including a substrate on which the sensor and the pseudo sensor are arranged ;
The present invention includes one of the sensors and two of the pseudo sensors,
The two pseudo sensors are arranged symmetrically with respect to one of the sensors.
Liveness detection device. The biological body detection device according to claim 1 , wherein the sensor is an optical sensor, and a function for detecting a signal from the biological body is realized by a light receiving element. The biological detection device according to claim 2 , characterized in that the pseudo sensor is obtained by replacing the light receiving element of the sensor with an equivalent circuit corresponding to the light receiving element when there is no signal from the biological organism. The biological detection device according to claim 2 , wherein the pseudo sensor is obtained by covering the light receiving element of the sensor with black paint. The biological detection device according to claim 1 , which is used in a state where it is attached to the skin of the biological body. The biological detection device according to claim 1 , further comprising: a sensor configured to detect a biological object and a non - biological object; A measuring means for measuring biological data using the sensor and the pseudo sensor included in the biological detection device according to any one of claims 1 to 6 ;
and an analysis means for acquiring biometric information by analyzing the biometric data. The biometric information acquisition device according to claim 7, characterized in that the measurement means receives measurement data output from the sensor and non-biometric data output from the pseudo sensor from the biometric detection device, and obtains the biometric data by calculating a difference between the biometric data and the non - biometric data. The biological information acquisition apparatus according to claim 7 , wherein the measurement means receives biological data obtained based on the measurement data output from the sensor and the non-biological data output from the pseudo sensor from the biological detection device. a measuring means for measuring biological data using the sensor and the pseudo sensor provided in a biological detection device including a sensor for measuring a biological subject, a pseudo sensor having input and output equivalent to that of the sensor but not having a function for detecting a signal from the biological subject, and one or more substrates including a substrate on which the sensor and the pseudo sensor are arranged;
an analysis means for acquiring biometric information by analyzing the biometric data;
Equipped with
The measurement means receives the measurement data output from the sensor and the non-biological data output from the pseudo sensor from the biological detection device, and calculates the difference between the biological data and the non-biological data to obtain the biological data.
Biometric information acquisition device.

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