KR102445826B1 - A steering wheel device for vehicle with built-in healthcare function and method for measuring biometric information of the steering wheel device - Google Patents

Abstract

Disclosed are a steering wheel apparatus for a vehicle equipped with a health care function and a method for measuring biometric information of the steering wheel apparatus. The steering wheel apparatus according to one embodiment comprises: a steering wheel main body; at least one sensor built into the steering wheel main body to irradiate a light or a radio wave, and measuring at least one of a reflected wave for the irradiated light or an electromagnetic wave and a transmitted wave for the radio wave; and a control unit built into the steering wheel main body to collect frequency characteristics of at least one of the reflected wave and the transmitted wave measured by at least one sensor, and generating biometric data based on the collected frequency characteristics. The steering wheel apparatus is capable of generating the biometric data.

Description

A steering wheel device for a vehicle with a built-in healthcare function and a method for measuring biometric information of the steering wheel device

Embodiments relate to a steering wheel device for a vehicle having a built-in healthcare function and a method for measuring biometric information of the steering wheel device.

Aging is accelerating, and people are paying a lot of attention to their health. People often measure their health status not only when a disease occurs but also during normal times, and for this purpose, many health care-related products are currently being released and studied.

On the other hand, there are technologies that utilize various sensing information in relation to vehicle operation. For example, there is a technology for sensing and utilizing information related to a user's health.

[Prior art literature number]

Korean Patent Publication No. 10-2020-0082456

It irradiates light or radio waves through a sensor built into the handle body, collects frequency characteristics of at least one of a reflected wave for the irradiated light or electromagnetic wave and a transmitted wave for radio waves, and collects biometric data based on the collected frequency characteristics. A handle device that can be generated and a method for measuring biometric information of the handle device are provided.

handle body; at least one sensor built into the handle body to irradiate light or radio waves, and measure at least one of a reflected wave and a transmitted wave for the irradiated light or electromagnetic wave; and a controller built into the handle body to collect frequency characteristics of at least one of the reflected wave and the transmitted wave measured through the at least one sensor, and generate biometric data based on the collected frequency characteristics. A handle device is provided.

According to one side, the control unit may be characterized in that the biometric data is generated based on a characteristic in which a resonance frequency is changed according to a dielectric constant around the at least one sensor.

According to another aspect, the at least one sensor includes a first sensor that irradiates LED light or electromagnetic waves to measure light or electromagnetic waves reflected by an analyte inside a person's hand as reflected waves, a second sensor that emits electromagnetic waves, and the The second sensor may be characterized by including a third sensor that measures the electromagnetic wave that has passed through the inside of the person's hand as a transmitted wave.

According to another aspect, the handle device may further include an environment sensor built into the handle body to measure information about an external environment.

According to another aspect, the control unit generates correction data by applying information measured through the environmental sensor to a correction algorithm, and generates the biometric data using the collected frequency characteristics and the correction data. can

According to another aspect, the control unit may detect the presence or absence of a human hand based on an amount of change in intensity of at least one of the reflected wave and the transmitted wave.

According to another aspect, the control unit may collect the frequency characteristic by driving the at least one sensor when the presence of the human hand is detected.

According to another aspect, at least one of the position and the number of the at least one sensor on the handle body may be individually determined in consideration of a driving habit of a user of the handle device.

According to another aspect, the handle device may further include a communication unit for transmitting the generated biometric data to an external device.

A method for measuring biometric information performed by a control unit included in a handle device, wherein the amount of change in intensity of a reflected wave measured by a reflective sensor built into the handle device and intensity of a transmitted wave measured by a transmissive sensor further built into the handle device detecting the presence or absence of a person's hand based on at least one of a change amount of ; collecting a frequency characteristic by measuring a change in at least one of the reflected wave and the transmitted wave by driving at least one of the reflective sensor and the transmissive sensor when it is determined that the human hand is present; and generating biometric data using the collected frequency characteristics.

It irradiates light or radio waves through a sensor built into the handle body, collects frequency characteristics of at least one of a reflected wave for the irradiated light or electromagnetic wave and a transmitted wave for radio waves, and collects biometric data based on the collected frequency characteristics. can create

1 is a view showing an example of a handle device according to an embodiment of the present invention.
2 is a diagram illustrating an example of an internal configuration of a control unit included in a PCB according to an embodiment of the present invention.
3 is a diagram illustrating an example of a method for measuring biometric information according to an embodiment of the present invention.
4 is a diagram illustrating an example of providing health care information according to an embodiment of the present invention.
5 is a view showing an example of the internal configuration of the electromagnetic wave sensor according to an embodiment of the present invention.
6 is a diagram illustrating an example of an RC oscillator according to an embodiment of the present invention.
7 is a view showing another example of the internal configuration of the electromagnetic wave sensor according to an embodiment of the present invention.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, various changes may be made to the embodiments, so that the claims of the patent application are not limited or limited by these embodiments. It should be understood that all modifications, equivalents and substitutions of the embodiments are covered by the claims.

Terms used in the examples are used for the purpose of description only, and should not be construed as limiting. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present specification, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

In addition, in the description with reference to the accompanying drawings, the same components are assigned the same reference numerals regardless of the reference numerals, and the overlapping description thereof will be omitted. In the description of the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the elements from other elements, and the essence, order, or order of the elements are not limited by the terms. When it is described that a component is “connected”, “coupled” or “connected” to another component, the component may be directly connected or connected to the other component, but between each component another component It will be understood that may also be "connected", "coupled" or "connected".

Components included in one embodiment and components having a common function will be described using the same names in other embodiments. Unless otherwise stated, descriptions described in one embodiment may be applied to other embodiments as well, and detailed descriptions within the overlapping range will be omitted.

1 is a view showing an example of a handle device according to an embodiment of the present invention. The handle device 100 according to the present embodiment may include a plurality of printed circuit boards (PCBs) 110 and 120 and a plurality of sensors 130 to 160 . In this case, the plurality of PCBs 110 and 120 and the plurality of sensors 130 to 170 shown in FIG. 1 may be implemented in a substantially embedded form inside the handle device 100 . In addition, in the embodiment of FIG. 1 , the first sensor 130 and the fourth sensor 160 are on the first PCB 110 , and the second sensor 140 , the third sensor 150 and the second sensor 150 are on the second PCB 120 . An example in which the fifth sensor 170 is electrically connected is shown. According to an embodiment, the plurality of PCBs 110 and 120 and the plurality of sensors 130 to 170 may be connected wirelessly, and the handle device 100 includes one PCB, and a plurality of sensors are provided on the one PCB. The ones 130 to 170 may be electrically or wirelessly connected.

The first sensor 130 may include a reflection type sensor that measures a scattered wave after irradiating LED light or electromagnetic wave. For example, the first sensor 130 may scan the surroundings through LED light or electromagnetic waves of various bands, in which case the light reflected by the analyte contained in the hand of the person in contact with the handle device 100 or It is possible to measure reflected waves by electromagnetic waves.

The second sensor 140 and the third sensor 150 may implement a transmission type sensor in which the third sensor 150 measures a transmitted wave with respect to the electromagnetic wave irradiated by the second sensor 140 . For example, the second sensor 140 may radiate electromagnetic waves of various bands, and the irradiated electromagnetic waves may pass through the inside of the hand of a person in contact with the handle device 100 . In this case, the third sensor 150 may measure the transmitted wave passing through the inside of the person's hand.

The fourth sensor 160 and the fifth sensor 170 may include environmental sensors that measure information about the external environment, such as temperature and humidity.

The plurality of PCBs 110 and 120 may control the plurality of sensors 130 to 170 and predict biometric information such as blood sugar based on signals measured by the plurality of sensors 130 to 170 . Predicting biometric information may substantially correspond to generating biometric data.

In the embodiment of FIG. 1 , an example in which a plurality of sensors 130 to 170 are built-in on the left and right sides of the handle device 100 has been described. can For example, a sensor may be added above or below the handle device 100 . Also, depending on the user's driving habits, the position where the user holds the steering wheel while driving may be different. In consideration of this, the location or number of sensors may be customized to be built into the steering wheel device 100 in consideration of a user's driving habit.

Also, according to an embodiment, the handle device 100 may further include a communication unit (not shown) for transmitting the generated biometric data to an external device. Here, the external device may include a display device of a vehicle in which an application for analyzing biometric information is installed and driven, or a user's smartphone.

2 is a diagram illustrating an example of an internal configuration of a control unit included in a PCB according to an embodiment of the present invention, and FIG. 3 is a diagram illustrating an example of a method for measuring biometric information according to an embodiment of the present invention. The control unit 200 according to the present embodiment may be implemented by at least one processor, and the sensor operation determining unit 210 , the sensor driving unit 220 , the external environment correcting unit 230 , and the biosignal prediction unit 240 . may include. At this time, the sensor operation determining unit 210 , the sensor driving unit 220 , the external environment compensating unit 230 , and the biosignal prediction unit 240 are configured such that at least one processor implementing the control unit 200 operates according to the control of the computer program. It may be a functional representation of a functioning function. For example, as a functional representation of a processor for performing each of the steps 310 to 340 of FIG. 3 , the sensor operation determining unit 210 , the sensor driving unit 220 , the external environment correcting unit 230 , and the biosignal prediction unit (240) may be used.

In step 310, the sensor operation determination unit 210 may detect the presence or absence of a human hand based on the amount of change in the intensity of the reflected wave measured by the reflective sensor and/or the change in the intensity of the transmitted wave measured by the transmissive sensor. have. For example, the sensor operation determination unit 210 measures the reflected wave by driving the first sensor 130 at preset time intervals and/or drives the second sensor 140 and the third sensor 150 to drive the transmitted wave can be measured. When the intensity of the reflected wave and/or transmitted wave measured at the t-th time interval is I(t), and the intensity of the reflected wave and/or transmitted wave measured at the t+1-th time interval is I(t+1), the reflected wave and/or the amount of change ΔI of the intensity of the transmitted wave may be expressed as |I(t+1) - I(t)|. In this case, the sensor operation determination unit 210 may detect the presence or absence of the hand through the change amount ΔI of the intensity. Here, the presence or absence of the hand may mean whether the hand is present at a position where the first sensor 130 and/or the third sensor 150 are embedded in the handle device 100 . In this case, the first sensor 130 and/or the third sensor 150 is located at the time point at which the hand is located at the embedded position or the first sensor 130 and/or the third sensor 150 is located at the embedded position. The value of the amount of change ΔI of the intensity of the reflected wave and/or the transmitted wave will increase significantly at the point in time when the hand is removed, and the sensor operation determining unit 210 determines whether the value of the change amount of the intensity ΔI is greater than or equal to the threshold value. The presence or absence of a hand can be determined. For example, in the embodiment of FIG. 1 , when the value of the change amount ΔI of the intensity of the reflected wave is greater than or equal to the threshold value, the sensor operation determining unit 210 determines the position at which the first sensor 130 of the handle device 100 is embedded. It can be determined that the user's left hand is located in the . In addition, when the value of the change amount ΔI of the intensity of the transmitted wave is equal to or greater than the threshold value, the sensor operation determination unit 210 determines the position at which the second sensor 140 and the third sensor 150 of the handle device 100 are embedded. It may be determined that the user's right hand is located in the . As such, the sensor operation determining unit 210 may determine whether each of the user's two hands is in contact with the handle device 100 individually according to the location and type of the sensor. In step 310, if it is detected that the human hand is present, step 320 may be performed, and if it is detected that the human hand does not exist, step 310 is repeatedly performed at preset time intervals. The presence or absence of a human hand can be detected.

In step 320 , the sensor driver 220 drives the reflective sensor and/or the transmissive sensor to measure changes in the reflected wave and/or the transmitted wave in real time to collect frequency characteristics. The sensor operation determining unit 210 drives the sensor at a relatively long time interval to determine the presence of a hand, whereas the sensor driving unit 220 drives the sensor at a relatively short time interval when it is determined that the hand is present. It is possible to continuously collect frequency characteristics according to changes in the reflected wave and/or the transmitted wave. The sensor driving unit 220 may collect frequency characteristics while operating from the point in time when it is determined that the hand is present to the point in time when it is determined that the hand is not present by the sensor operation determination unit 210 . This step 320 may be performed when the presence of a human hand is detected in step 310 .

In step 330 , the external environment correction unit 230 may generate correction data by applying the information measured through the environmental sensor to the correction algorithm. The correction data may be used to maintain the accuracy of the analyte sensor by correcting an error of a measurement value according to an environmental factor such as temperature or humidity or a temporal factor such as deterioration of the sensor. Such correction data may be obtained by using a mapping table including, for example, correction values according to temperature, humidity, and time, or may be generated through a function that generates correction values according to temperature, humidity, and time.

According to an embodiment, the correction data may be generated through an artificial intelligence correction model. As an example, the artificial intelligence correction model inputs first analyte data including frequency characteristics measured by the reference device and second analyte data including frequency characteristics received from a biosensor including a reflective sensor and a transmissive sensor. It can be learned to calculate a correction value by taking As an example, the artificial intelligence correction model may be implemented to calculate an average of probability distributions of output nodes included in the neural network of the artificial intelligence correction model as a correction value.

In step 340 , the biosignal prediction unit 240 may predict a real-time change in biometric information using the collected frequency characteristics and the generated correction data. A biosensor including a reflective sensor and a transmissive sensor may measure a biometric parameter (hereinafter, referred to as a 'parameter') associated with a biometric component and determine biometric information from the measured parameter. In the present specification, the parameter may represent a circuit network parameter used to interpret the biosensor, and scattering parameters will be mainly described below for convenience of description, but the present invention is not limited thereto. As parameters, for example, an admittance parameter, an impedance parameter, a hybrid parameter, a transmission parameter, and the like may be used. For the scattering parameters, a transmission coefficient and a reflection coefficient may be used. For reference, the resonant frequency calculated from the above-described scattering parameter may be related to the concentration of the target analyte, and the biosensor may predict biometric information such as blood sugar by detecting a change in the transmission coefficient and/or the reflection coefficient.

The biosensor may include a resonator assembly (eg, an antenna). Hereinafter, an example in which the resonator assembly is an antenna will be mainly described. The resonant frequency of the antenna may be expressed as a capacitance component and an inductance component as shown in Equation 1 below.

[Equation 1]

에 비례할 수 있다.In Equation 1, f may represent a resonance frequency of an antenna included in a biosensor using electromagnetic waves, L may represent an inductance of the antenna, and C may represent a capacitance of the antenna. The capacitance C of the antenna is a relative dielectric constant as shown in Equation 2 below.

can be proportional to

[Equation 2]

은 주변의 대상 피분석물의 농도에 의해 영향을 받을 수 있다. 예를 들어, 전자기파가 임의의 유전율을 가지는 물질을 통과하는 경우, 전파 반사 및 산란으로 인해 투과된 전자기파에서 진폭과 위상의 변화가 발생할 수 있다. 생체 센서 주변에 존재하는 대상 피분석물의 농도에 따라 전자기파의 반사 정도 및/또는 산란 정도가 달라지므로, 상대 유전율

도 달라질 수 있다. 이는 안테나를 포함하는 생체 센서에 의해 방사된 전자기파에 의한 주변 장(fringing field)로 인해, 생체 센서와 대상 피분석물 간에 생체 커패시턴스가 형성되는 것으로 해석될 수 있다. 대상 피분석물의 농도 변화에 따라 안테나의 상대 유전율

이 변하므로, 안테나의 공진 주파수도 함께 변화한다. 다시 말해, 대상 피분석물의 농도는 공진 주파수에 대응할 수 있다.Relative permittivity of the antenna

may be affected by the concentration of the target analyte in the vicinity. For example, when electromagnetic waves pass through a material having an arbitrary permittivity, changes in amplitude and phase may occur in the transmitted electromagnetic waves due to radio wave reflection and scattering. Since the degree of reflection and/or scattering of electromagnetic waves varies depending on the concentration of the target analyte present in the vicinity of the biosensor, the relative permittivity

may also vary. This may be interpreted as forming a biocapacitance between the biosensor and the target analyte due to a fringing field caused by electromagnetic waves emitted by the biosensor including the antenna. The relative permittivity of the antenna according to the change in the concentration of the target analyte

As this changes, the resonance frequency of the antenna also changes. In other words, the concentration of the target analyte may correspond to the resonant frequency.

According to an embodiment, the biosensor may radiate an electromagnetic wave while sweeping a frequency, and measure a scattering parameter according to the emitted electromagnetic wave. The biosensor may determine a resonant frequency from the measured scattering parameter, and estimate a blood glucose level corresponding to the determined resonant frequency. The scattering parameter measured by the biosensor may predict the blood glucose diffused from the blood vessel into the interstitial fluid.

The biosensor may estimate biometric information by determining a frequency shift degree of a resonance frequency. For more accurate measurement of the resonant frequency, a quality factor may be maximized.

When the concentration of the analyte in the blood vessel of the analyte (eg, blood sugar level) is changed, the concentration of the analyte in the subcutaneous region may be changed. In this case, the dielectric constant in the subcutaneous region may vary according to a change in the concentration of the analyte. In this case, the resonant frequency of the biosensor may vary according to a change in permittivity of the surrounding subcutaneous region. For example, the biosensor may include a conducting wire and a feeder wire having a specific pattern. At this time, if the dielectric constant of the surrounding subcutaneous region changes, the capacitance of the biosensor also changes, so the resonance frequency of a specific pattern and feed line may also vary. Since the subcutaneous analyte concentration changes in proportion to the analyte concentration in the adjacent blood vessel, the biosignal prediction unit 240 can finally calculate biometric information such as the analyte concentration by using the resonance frequency corresponding to the subcutaneous dielectric constant change. have.

As an embodiment, the biosensor may be configured in the form of a resonant element, may generate a signal by sweeping a frequency within a predetermined frequency band, and may inject the generated signal into the resonant element. In this case, a scattering parameter may be measured with respect to a resonant element to which a signal having a change in resonant frequency is supplied.

The scattering parameter measured by the biosensor may be transmitted to the biosignal predictor 240 , and the biosignal predictor 240 uses a frequency (eg, a resonance frequency) at a point where the size of the scattering parameter is smallest or largest. Thus, the corresponding relative permittivity can be calculated. As such, the biosignal prediction unit 240 may generate biometric data based on frequency characteristics of a reflected wave or a transmitted wave measured by at least one sensor. Biometric data may be generated based on the frequency-changing characteristic.

Healthcare information including a real-time change in predicted biometric information may be provided through a display device. The display device may be a display device included in a vehicle or a user terminal such as a smart phone. As an example, the display device may display the transmitted healthcare information on the screen according to the control of an application installed on the display device, and based on the healthcare information, generate information on the improvement of eating habits and the direction of exercise to be displayed on the screen. can Accordingly, the user can check the normal health condition separately from the operation of the vehicle just by driving the vehicle, and can obtain information for health improvement.

In addition, by checking the user's health condition through the steering wheel before driving the vehicle, a warning is provided to the user through an alarm function when out of various preset health care ranges, and/or driving is disabled when out of the preset health care range By making it impossible, it is possible to provide a function to prevent the risk of an accident in advance.

In addition, by linking the collected health care information with the hospital, the doctor in charge can monitor the user's health status in real time and use it as the user's basic health information through remote treatment.

4 is a diagram illustrating an example of providing health care information according to an embodiment of the present invention. 4 shows that the vehicle 410 can provide health care information by wirelessly communicating with the terminal 420 and the server 430 . Here, the server 430 may be a system for health management of users, and may manage health care information for each user. As an example, the server 430 may be a system of a hospital described above, and the terminal 420 may be a smartphone of a doctor in charge.

5 is a diagram illustrating an example of an internal configuration of an electromagnetic wave sensor according to an embodiment of the present invention. The electromagnetic wave sensor (ELECTROMAGNETIC SENSOR, 500 ) according to the present embodiment may be implemented on, for example, the second PCB 120 described above. At this time, the electromagnetic wave sensor 500 may transmit a signal to the second sensor 140 and the third sensor 150 described above, and receive data measured by the second sensor 140 and the third sensor 150 . have. As shown in FIG. 5, the electromagnetic wave sensor 500 includes a power unit (PWR, 510) receiving power from a vehicle battery, etc., a micro controller unit (MCU) 520 corresponding to the control unit 200 described above, a PLL ( Phase Lock Loop, 530), DA(540), ADC(Analog Digital converter, 550), ED(Envelope Detector, 560), LNA(Low-Noise Amplifier, 570), Coupler(COUPLER, 580) and BLE(Bluetooth Low) Energy, 590).

The power unit 510 may distribute the supplied power to the components of the electromagnetic wave sensor 500 and supply it.

The MCU 520 may control the PLL 530 to generate input signals of various frequency bands for the second sensor 140 and the third sensor 150 , and the second sensor 140 and the third sensor A real-time change in biometric information may be predicted through the signal reflected at 150 .

The coupler 580 may separate an input signal and an output signal of the second sensor 140 and the third sensor 150 . The TX path signal may be input to the second sensor 140 and the third sensor 150 through the coupler 580 , and the signal reflected from the second sensor 140 and the third sensor 150 is It may be transmitted to the RX path through the coupler 580 .

The LNA 570 may amplify the signal reflected from the second sensor 140 and the third sensor 150 and transmitted to the RX path through the coupler 580, and the ED 560 may convert the reflected signal to DC ( Direct Current) level to find the lowest point.

The ADC 550 may digitize the output signal of the ED 560 and transmit it to the MCU 520 .

The BLE 590 may transmit biometric information and/or a change in biometric information to an external device. Here, the external device may include a display device of a vehicle in which an application for analyzing biometric information is installed and driven, or a user's smartphone.

In FIG. 5 , the structure of transmitting the input signal to the second sensor 140 and the third sensor 150 and receiving the output signal has been described, but through this, the input signal is transmitted to the first sensor 130 and the output signal is transmitted The receiving structure will also be easily understood.

According to an embodiment, the electromagnetic wave sensor for collecting biometric information may be implemented using an RC or LC oscillator. An oscillator can be used to generate low frequencies, mainly in the sub-MHz frequency range, and an RC oscillator consisting of an RC network that can be used to generate the necessary phase shift for the response signal can be used. An RC network can be used to achieve positive feedback to generate an oscillating sinusoidal voltage, and this kind of oscillator has excellent frequency strength, low noise and jitter. When the circuit is energized, the noise voltage starts to oscillate, and the RC network phase shifts the output signal by 180° and feeds it back to the input, causing the circuit to oscillate continuously. The LC oscillator may be composed of an inductor (L) and a capacitor (C) to form a tank circuit. This type of oscillator is suitable for high frequency oscillations, but at low frequencies the required inductance is difficult to achieve in a small form factor. Accordingly, the oscillator may refer to an RC oscillator, but the use of the LC oscillator is not excluded.

6 is a diagram illustrating an example of an RC oscillator according to an embodiment of the present invention. As shown in FIG. 6, the RC oscillator (RC Oscillator, 600) according to this embodiment includes a capacitor sensor (CapSensor, 610), an R-bank (Resister-Bank, 620) and an inverter (inverter, 630). can

The capacitor sensor 610 may include a fringing field capacitor that generates a fringing field. As an example, an inter digited electrode type capacitor may be used. A change in the region of the fringing field formed by the capacitor sensor 610 (eg, a change in the concentration of an analyte) may induce a change in the capacitance of the capacitor sensor 610 , and the change in capacitance is the RC oscillator. A change may be induced in the resonant frequency generated by 600 .

In this case, the controller 200 may measure a change characteristic of an analyte in the fringing field according to a change in the resonance frequency. In this case, in the embodiments of the present invention, by forming various values of the R component among the R component and the C component generating the resonant frequency of the RC oscillator 600 through the R-bank 620, various resonant frequencies are generated. can do. In FIG. 6 , the RC oscillator 600 selects at least one of the three resistance values of R1, R2, and R3 through the three switches SW1, SW2, and SW3 to generate one of a plurality of resonant frequencies (for example, a set An example in which one of seven resonant frequencies for seven subsets excluding the empty set among subsets of {R1, R2, R3}) can be selectively output is shown. As an example, it can be easily understood that the R-bank 620 having more various resistance values may be implemented to output more various resonance frequencies, and the resistance value selection method may be variously changed. Also, the R-bank 620 may be implemented to provide a variable resistance value. This R-bank 620 may be omitted depending on the embodiment.

The inverter 630 may be used to obtain an alternating current by intermitting a direct current through on/off of a switch according to a basic operating principle, thereby forming a continuous oscillation in the circuit.

For example, a change in the analyte concentration in the fringing field region may induce a change in the capacitance, and in this case, the change in the capacitance may induce a change in the resonant frequency generated by the RC oscillator 600 . The RC oscillator 600 may generate various resonant frequencies through the R-bank 620 , which may mean that various resonant frequencies in which a change in analyte concentration is reflected may be generated. Accordingly, the controller 200 may acquire more accurate data on the analyte by acquiring various data reflecting the concentration of the analyte, which may mean that it is possible to provide a more accurate concentration of the analyte.

In addition, this R-bank 620 serves as a frequency calibration (calibration) that can reflect various factors that can change the environment based on the R component value selected through the R-bank 620 to the resonance frequency. can do. In other words, by selecting an appropriate R component value through the R-bank 620 , a resonant frequency suitable for the surrounding environment may be utilized.

7 is a view showing another example of the internal configuration of the electromagnetic wave sensor according to an embodiment of the present invention. The electromagnetic wave sensor 700 according to this embodiment may be implemented in each or any one of the plurality of PCBs 110 and 120 described above, for example, and the sensor 710 may be any one of the plurality of sensors 130 to 160 . can respond to one. In addition, the electromagnetic wave sensor 700 is an oscillator 720, R-bank (R-Bank, 730), a band pass filter (Band Pass Filter, BPF, 740), a buffer (buffer, 750) and a counter (counter, 760) may include.

The sensor 710 may be implemented in a form substantially including a fringing field capacitor included in the oscillator 720 . The fringing field capacitor may form a fringing field, and the resonant frequency generated by the oscillator 720 is changed while the change in capacitance according to the change of the analyte in the region of the fringing field is reflected in the oscillator 720 . can As already described, the R-bank 730 may be implemented to select one of a number of R component values, so that the oscillator 720 can selectively (or stepwise) generate one of the various resonant frequencies. have. In this case, the electromagnetic wave sensor 700 may measure a change characteristic of the analyte in the fringing field (eg, a change in the concentration of the analyte) in the fringing field according to the change in the resonant frequency, and as the change in the analyte is reflected in various resonant frequencies Various data may be collected. Therefore, it is possible to more accurately detect the change characteristics of the analyte through various data.

The bandpass filter 730 is a frequency selective filter that passes a signal having a specific bandwidth, and a signal having a frequency outside the filter specification (eg, a frequency lower than the filter low cutoff frequency and higher than the filter high cutoff frequency) is a bandpass filter It may be filtered at the output of 730 .

Buffer 740 may be used to provide input-output matching between two different circuit components. This is a kind of electrical impedance conversion from one circuit to another and can prevent signal loss. In one example, the buffer 740 may provide a match between the output of the bandpass filter 730 and the input of the counter 750 .

The counter 750 is a circuit that counts the frequency of a scaling signal, and may generally include a zero-cross detection circuit for an input signal.

As such, according to embodiments of the present invention, light or radio waves are irradiated through a sensor built into the handle body, and frequency characteristics of at least one of a reflected wave and a transmitted wave for the irradiated light or electromagnetic wave are collected. , biometric data can be generated based on the collected frequency characteristics.

The device described above may be implemented as a hardware component or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments may include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), and a programmable logic unit (PLU). It may be implemented using one or more general purpose or special purpose computers, such as a logic unit, microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be embodied in any type of machine, component, physical device, computer storage medium or device for interpretation by or providing instructions or data to the processing device. have. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. In this case, the medium may be to continuously store the program executable by the computer, or to temporarily store the program for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributed on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like. In addition, examples of other media include recording media or storage media managed by an app store that distributes applications, sites that supply or distribute various other software, and servers.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (12)

handle body;
at least one sensor built into the handle body to irradiate light or electromagnetic waves and measure at least one of a reflected wave and a transmitted wave with respect to the irradiated light or electromagnetic wave; and
A control unit that is built into the handle body and collects frequency characteristics of at least one of the reflected wave and the transmitted wave measured through the at least one sensor, and generates biometric data based on the collected frequency characteristics
including,
The at least one sensor includes an electromagnetic wave-based sensor that generates resonant frequencies of various bands in stages using an RC oscillator,
The RC oscillator is
a fringing field capacitor forming a fringing field; and
R-bank implemented to select one of a plurality of resistance component values
To generate a resonance frequency step by step according to the storage component value selected step by step in the R-bank, including,
The control unit collects, as the frequency characteristic, a change characteristic of the analyte in the fringing field according to a change in the resonant frequency generated step by step
Handle device characterized in that. According to claim 1,
The control unit generates biometric data based on a characteristic in which a resonance frequency is changed according to a dielectric constant around the at least one sensor. According to claim 1,
The at least one sensor is a first sensor that irradiates LED light or electromagnetic wave to measure the light or electromagnetic wave reflected by an analyte inside a person's hand as a reflected wave, a second sensor that emits electromagnetic waves, and the second sensor is radiated and a third sensor for measuring the electromagnetic wave passing through the inside of a person's hand as a transmitted wave. According to claim 1,
An environmental sensor that is built into the handle body and measures information about the external environment
A handle device further comprising a. 5. The method of claim 4,
The control unit generates correction data by applying information measured through the environmental sensor to a correction algorithm, and generates the biometric data using the collected frequency characteristics and the correction data. According to claim 1,
wherein the control unit detects the presence or absence of a human hand based on an amount of change in intensity of at least one of the reflected wave and the transmitted wave. 7. The method of claim 6,
The control unit collects the frequency characteristic by driving the at least one sensor when the presence of the human hand is detected. According to claim 1,
The handle device, characterized in that at least one of the position and number of the at least one sensor on the handle body is individually determined in consideration of a user's driving habit of the handle device. According to claim 1,
A communication unit for transmitting the generated biometric data to an external device
A handle device further comprising a. A method for measuring biometric information performed by a control unit included in a handle device, the method comprising:
Detecting the presence or absence of a human hand based on at least one of a change in intensity of a reflected wave measured by a reflective sensor built into the handle device and a change in intensity of a transmitted wave measured by a transmissive sensor further built into the handle device step;
collecting a frequency characteristic by measuring a change in at least one of the reflected wave and the transmitted wave by driving at least one of the reflective sensor and the transmissive sensor when it is determined that the human hand is present; and
Generating biometric data using the collected frequency characteristics
including,
At least one of the reflective sensor and the transmissive sensor includes an electromagnetic wave-based sensor that uses an RC oscillator to generate resonant frequencies of various bands in stages,
The oscillator is
a fringing field capacitor forming a fringing field; and
R-bank implemented to select one of a plurality of resistance component values
including,
Collecting the frequency characteristics comprises:
A resonant frequency is generated step by step through the fringing field capacitor according to the storage component value stepwise selected in the R-bank, and a change characteristic of an analyte in the fringing field according to a change in the step-by-step generated resonant frequency Collecting as the frequency characteristic
A method for measuring biometric information, characterized in that 11. The method of claim 10,
The step of detecting the presence or absence of the person's hand,
When at least one of the change amount of the intensity of the reflected wave and the change amount of the intensity of the transmitted wave is equal to or greater than a threshold value, it is determined that the human hand is present. 11. The method of claim 10,
Generating calibration data by applying information measured through environmental sensors to a calibration algorithm
further comprising,
The step of generating the biometric data comprises:
The biometric information measuring method, characterized in that generating the biometric data by using the collected frequency characteristics and the generated correction data.

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