System for skin detection
The system addresses inaccuracies in skin detection by using a pressure sensor to stabilize force application, enhancing the accuracy of skin parameter measurements and enabling dynamic skin analysis for personalized skin care recommendations.
Patent Information
- Application Number
- JP2025541803
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-06-20
- Publication Date
- 2026-01-29
AI Technical Summary
Existing skin detection methods are inaccurate due to variations in user force application during contact, leading to inconsistent and subjective measurement results, especially in contact and non-contact detection techniques.
A system utilizing a pressure sensor to record force application during skin detection, processing data to identify stable pressure plateaus, and using these as a reference for accurate skin parameter measurement, combined with capacitance, texture, and optical sensors to obtain comprehensive skin characteristics.
The system provides more reliable and objective skin parameter measurements by accounting for individual force habits, reducing variability in detection results and enabling dynamic skin parameter analysis, including moisture, oiliness, elasticity, and skin care product recommendations.
Smart Images

Figure 2026503504000001_ABST
Abstract
Description
[Technical Field]
[0001] FIELD OF THE INVENTION This application relates to the field of skin detection, and more particularly to systems for skin detection. [Background technology]
[0002] Skin detection devices generally use multiple sensors acting independently or in combination on the human skin surface, and combine them with scientific algorithms to obtain the static and dynamic characteristics of human skin. Half of the commercially available devices use a sensor to directly obtain certain electrical feedback parameters of the skin, and then use an algorithm to obtain one or more characteristic parameters of the skin. There are generally two ways to obtain skin parameters using general sensors: contact and non-contact.
[0003] Contact detection includes electrode testing (measuring the capacitance within a certain area of the skin), capacitance array testing, etc. The problem with such testing is that subjective factors such as the angle, force, and skin compression of the subject's skin often have a significant impact on the detection results.
[0004] Non-contact detection includes various optical sensors and macro-imaging devices, but such tests are easily affected by the physical conditions of the user's skin surface. For example, in handheld non-contact detection, the sensor itself does not come into contact with the skin, but the device itself must also come into contact with the skin. Furthermore, the contact process generates effects such as pushing on the skin, which affects the detection results.
[0005] Prior art has proposed a method for improving accuracy by calculating the skin parameters of the test subject's skin based on the electrical parameters detected by the test head when the pressure parameter reaches a preset value. However, this method does not take into account different people's force-using habits or whether the applied force is stable after the pressure parameter reaches the preset value. When a user performs skin detection, the contact process of the test head with the skin typically involves a process in which the force starts small, increases gradually, stabilizes, and then rapidly decreases. This process varies greatly for different people. In existing methods, if the preset value is set exactly when the user's force is increasing from small to large, the measured skin parameters will be significantly inaccurate. On the other hand, if the test head experiences significant fluctuations in the pressure applied to the test subject's skin after the pressure parameter reaches the preset value, the degree of contact between the test head and the test subject's skin will also change significantly, resulting in inaccurate measured skin parameters. Such changes have a significant subjective impact on the measured skin parameters between different measurements, making it impossible to objectively represent the actual changes in the skin parameters between different measurements, making it impossible to accurately determine dynamic changes in the skin.
[0006] [Means for solving the problem] Exemplary embodiments of the present invention overcome these and / or other problems in the prior art, and in particular aim to use a pressure sensor to record information about a user's force application when a skin detection device detects the user's skin, thereby allowing subsequent screening of skin detection data using pressure as a reference.
[0007] According to an exemplary embodiment, a system for skin detection is provided, the system comprising: a body; an elastic member stretchable relative to the body and having a skin-contacting surface, the elastic member being in an extended position when no pressure is applied to the skin-contacting surface and in a retracted position when pressure is applied to the skin-contacting surface; a pressure sensor for detecting the pressure when the skin-contacting surface contacts a user's skin to obtain a pressure data set; and a skin detection device for obtaining the skin data set when the skin-contacting surface contacts the user's skin.
[0008] Preferably, the system further comprises a processor configured to process the pressure data set to determine pressure plateaus and their pressure characterization values.
[0009] Preferably, the processor is configured to determine whether the pressure characteristic evaluation value is within a predetermined pressure interval, and if the pressure characteristic evaluation value is within the predetermined pressure interval, to process multiple sets of skin data corresponding to the pressure plateau period in the skin dataset to obtain skin characteristics.
[0010] Preferably, the preset pressure intervals are established by using the elastic member to press against the user's skin to obtain a pressure data set, the pressure data set being processed by the processor to determine a pressure plateau and its pressure signature value, and increasing and decreasing the pressure signature value by 1 percent, respectively, to set the preset pressure intervals.
[0011] Preferably, the preset pressure interval is established by using the elastic member to press against the user's skin multiple times to obtain multiple pressure data sets, the multiple pressure data sets being processed by the processor to determine a pressure plateau and its pressure signature value for each pressure data set, and the maximum and minimum values of the pressure signature value being increased and decreased by 1 percent, respectively, to set the preset pressure interval.
[0012] Preferably, the pressure signature value is within a preset threshold range. Preferably, when the user presses the skin with the elastic member, the normal to the skin contact surface is substantially perpendicular to the user's skin.
[0013] Preferably, the skin detection device comprises an electrode sensor installed within the skin contact surface for detecting capacitance data of the user's skin, a capacitive fingerprint detector installed within the skin contact surface for detecting texture data of the user's skin, and an optical sensor for detecting optical feedback data of the user's skin through a transparent window installed on the skin contact surface, wherein the capacitance data, the texture data, and the optical data are associated via timestamps to form a set of skin data, and the skin data set includes multiple sets of skin data.
[0014] Preferably, the optical sensor includes a light source and a photosensitive element, and is configured such that light is emitted by the light source and irradiated onto the user's skin through the transparent window, and light reflected from the user's skin through the transparent window is detected by the photosensitive element to generate the optical feedback data.
[0015] Preferably, the electrode sensor and the optical sensor detect pressure in response to the pressure being detected by the pressure sensor, and the capacitive fingerprint detector detects pressure in response to the pressure being detected by the pressure sensor being within a preset pressure range.
[0016] Preferably, the skin characteristics include at least one of a moisture index, an oiliness index, a whiteness index, an elasticity index, a pore index, and a fineness index.
[0017] Preferably, the processor is configured to analyze multiple sets of skin data corresponding to different points in time over a period of time and combine environmental parameters to determine dynamic change parameters of the user's skin, including water retention capacity, water loss rate, oil runoff rate, or temperature-skin change rate.
[0018] Preferably, the period is 6 hours, 12 hours, 1 day, 7 days, 28 days or more. Preferably, the system further comprises a prescription module for determining a prescription and dosage of a skin care product suitable for the user's skin based on the skin characteristics.
[0019] Preferably, the system further comprises a plurality of auxiliary pressure sensors uniformly distributed around the pressure sensor for detecting pressure at a plurality of points when pressure is applied to the skin contact surface.
[0020] Preferably, the pressure data supplied from the pressure sensor and the plurality of supporting pressure sensors is analyzed to determine whether the pressure on the skin contact surface is uniform, and if the pressure on the skin contact surface is not uniform, the system is configured to indicate that remeasurement is required.
[0021] Preferably, pressure data provided by the pressure sensor and the plurality of auxiliary pressure sensors is analysed to assist in determining an elasticity index of the user's skin.
[0022] Preferably, the system further comprises a user interface provided by an application on a user device or located on the body that communicates with the system.
[0023] The invention will be better understood by describing exemplary embodiments thereof with reference to the accompanying drawings, in which: [Brief explanation of the drawings]
[0024] [Figure 1]1 shows a schematic architecture diagram of a system for skin detection according to an embodiment of the present invention; [Figure 2] 10 shows a flowchart for determining a preset pressure interval. [Figure 3] An example of setting a preset pressure section is shown below. [Figure 4] 10 shows a schematic example of how a pressure sieve can be used to screen skin detection data. DETAILED DESCRIPTION OF THE INVENTION
[0025] Specific embodiments of the present invention will be described below. However, for the sake of brevity, it is not possible to fully describe all features of actual embodiments in this specification. It should be understood that in the actual implementation of any embodiment, various specific decisions are often made in the course of any engineering or design project to achieve the specific goals of the developer and to satisfy system-related or commercial constraints, and these decisions may vary from one embodiment to another. It should also be understood that such development may require complex and lengthy efforts, but for those skilled in the art related to the content disclosed in this invention, some changes in design, manufacturing, production, etc. made based on the technical content disclosed in this disclosure are merely existing technical means, and should not be understood as deficient in the content of this disclosure.
[0026] Unless otherwise defined, technical or scientific terms used in the claims and the specification shall have the ordinary meaning understood by a person of ordinary skill in the art to which the invention pertains. The terms "first," "second," and similar terms used in the specification and claims of this invention patent application do not denote any order, quantity, or importance, but are used merely to distinguish different components. Similar terms such as "one" or "1" do not denote a quantitative limitation, but indicate the presence of at least one. Similar terms such as "comprise" or "include" mean that the element or object preceding "comprise" or "include" encompasses the elements or objects listed after "comprise" or "include" and their equivalents, but do not exclude other elements or objects. Similar terms such as "connected" or "connected" do not limit connections to physical or mechanical connections, nor are they limited to direct or indirect connections.
[0027] In this disclosure, features are said to be "to" or "capable of" or "may" perform a task even when the feature is not currently operated. For example, "a skin detection device for acquiring a skin dataset" covers having a component that performs that function during operation even when the skin detection device is not currently operating (e.g., not activated).
[0028] In this application, all embodiments and preferred embodiments described in this specification can be combined with each other to form new technical solutions unless otherwise specified. In this application, all technical features and preferred features described in this specification can be combined with each other to form new technical solutions unless otherwise specified.
[0029] In the description of the embodiments of the present application, the term "and / or" is merely a relational relationship describing related objects, and means that three types of relationships can exist; for example, A and / or B can mean that A exists alone, that A and B exist simultaneously, or that B exists alone. In addition, the character " / " in the text generally indicates that the related objects before and after it are in an "OR" relationship.
[0030] Hereinafter, a system for skin detection provided according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.
[0031] FIG. 1 shows a schematic architecture diagram of a system for skin detection according to an embodiment of the present invention.
[0032] The system 100 for skin detection may include a main body 110, an elastic member 120, a pressure sensor 130, and a skin detection device 140. The elastic member 120 is expandable relative to the main body 110 and has a skin contact surface 121. The skin contact surface 121 may be perpendicular to the direction of expansion and contraction of the elastic member 120. The elastic member 120 may be coupled to the main body 110 via an elastic element such as a spring. For example, as shown in FIG. 1 , the spring 111 may be provided in a column inside the main body 110, and the elastic member 120 may have a stopper with a through hole through which the column can pass. The stopper may be provided to abut against the spring 111 and compress the spring when the elastic member 120 contracts relative to the main body 110, allowing the column to pass through the through hole. Note that FIG. 1 merely illustrates one possible structural example of the system for skin detection and is not intended to limit the specific structure and connection method of the main body 110 and the elastic member 120.
[0033] The elastic member 120 is in an extended position A relative to the main body 110 when no pressure is applied to the skin contact surface 121, and is in a retracted position B when pressure is applied to the skin contact surface 121.
[0034] The pressure sensor 130 can detect pressure and acquire a pressure data set when the skin-contacting surface 121 contacts the user's skin. For example, as shown in FIG. 1 , when the skin-contacting surface 121 receives pressure from the user's skin and the elastic member 120 is in the retracted position B, the pressure sensor 130 contacts a support within the body 110 to detect the received pressure and acquire a time-related pressure data set. Those skilled in the art will understand that the pressure sensor 130 may be positioned at other locations and may have various placement methods to measure the pressure received by the skin-contacting surface 121 of the elastic member 120, and the present application does not intend to limit the specific location and placement method of the pressure sensor 130.
[0035] The skin detection device 140 can acquire a skin data set when the skin-contacting surface 121 contacts the user's skin. The skin detection device 140 can include one or more sensors to detect one or more attributes of the user's skin. The configuration of the skin detection device 140 according to an exemplary embodiment of the present application is described in detail below. Similarly, the specific configuration and arrangement of the skin detection device 140 is not intended to be limited as long as the skin detection device 140 can acquire data related to the attributes of the skin when the skin-contacting surface 121 contacts the user's skin.
[0036] In the above-described architecture of the system 100 for skin detection of the present application, when the skin contact surface 121 receives pressure from the user's skin and the elastic member 120 is in the retracted position B, the pressure sensor 130 and the skin detection device 140 can operate simultaneously to acquire corresponding data, thereby allowing the skin detection data to be screened using pressure as a filter in subsequent data processing.
[0037] In some embodiments of the present application, the system 100 may further include a processor (not shown). The processor may be in indirect or direct communication with the pressure sensor 130 and the skin detection device 140 to receive data from the pressure sensor 130 and the skin detection device 140. The processor may be located within the body 110 or the elastic member 120 to directly acquire data from the pressure sensor 130 and the skin detection device 140, or may be located separately from the body 110 or the elastic member 120, such as being located within a remote server that communicates with the pressure sensor 130 and the skin detection device 140 to acquire data from the pressure sensor 130 and the skin detection device 140 via a transceiver.
[0038] The processor can be configured to process the pressure data set to determine a pressure plateau and its pressure signature. When a user performs skin detection, the process of the handheld device contacting the skin typically involves a small force, which increases gradually, stabilizes, and then rapidly decays. The system 100 for skin detection of the present application can detect and control the user's test force using a pressure sensor, and then use an algorithm to obtain the plateau and its pressure signature during the user detection process. The pressure signature can be the average pressure within the plateau or other statistical value.
[0039] In some embodiments of the present application, the processor may be configured to determine whether the pressure signature value is within a predetermined pressure range, and if the pressure signature value is within the predetermined pressure range, to process multiple sets of skin data corresponding to a stable pressure period in the skin dataset to obtain skin characteristics. The predetermined pressure range may be considered a stable pressure range that matches the user's force-using habits. In this way, it is possible to ensure that the skin characteristics are processed and obtained based on multiple sets of skin data within the stable pressure period, rather than based on skin data obtained as the user's force increases from a low force. This further improves the relativity of the skin data. In contrast, prior art techniques have not considered the need to consider the impact of different users' force-using habits on skin detection results, and therefore have not been able to guarantee the rationality of the detected skin data and the accuracy of the obtained skin data, nor have they been able to eliminate comparability between multiple measurements of the test head due to fluctuations in the user's skin pressure.
[0040] 2, the preset pressure interval can be set by steps S210-S230. In step S210, the elastic member 120 is used to press against the user's skin to obtain a pressure data set. In step S220, the pressure data set is processed by a processor to determine a pressure plateau and its pressure signature value for the pressure data set. In step S230, the pressure signature value is increased and decreased by 1 percent, respectively, to set the preset pressure interval.
[0041] When a user presses against their skin using the elastic member 120, if the pressure signature value during the stable pressure period of the current press is within a predetermined pressure range, the user's current press is deemed appropriate, and the skin data corresponding to that stable pressure period is deemed acceptable and can be used to analyze the user's skin characteristics. Conversely, if the pressure signature value during the stable pressure period of the current press is outside the predetermined pressure range, the user's current press is deemed inappropriate, and all skin data obtained from that press is deemed unacceptable and cannot be used to analyze the user's skin characteristics. For example, if the user presses with unexpectedly too little or too much force, the skin data detected by that press can be prevented from being used in the analysis. In this way, it is possible to some extent to prevent differences in skin compression from significantly affecting the skin detection results. For example, if a user uses the system 100 to detect their skin multiple times over a certain period of time and then compares multiple skin data sets within that period, an advantage of the above embodiment is that the impact of differences in skin compression on the multiple detection data can be reduced or eliminated to some extent, so that the multiple skin data sets can more objectively reflect the dynamic changes in the user's skin characteristics.
[0042] It can be seen that there are obvious differences in the detected plateaus between different people, and even between different detections by the same person. The same user can gradually control their force habits to bring the plateaus closer. Therefore, in a preferred embodiment of the present application, the elastic member 120 is used to press against the user's skin multiple times to obtain multiple pressure data sets, and the multiple pressure data sets are then processed by a processor to determine the pressure plateaus and their pressure signature values for each pressure data set. Finally, the maximum and minimum values among the pressure signature values can be increased and decreased by 1 percentage to set the preset pressure intervals.
[0043] Figure 3 shows an example of a preset pressure range. In this example, the user first performs three self-measurements using a "subjectively comfortable stable force" to obtain initial data on the user's strength-using habits. Based on the combined section of these three stable force periods, a fixed ratio is adjusted for rising and falling to form the user's test strength range. This range can be adjusted as the user performs subsequent tests, gradually forming a more accurate algorithm for the user's strength-using habits.
[0044] As shown in FIG. 3, after the user applies pressure to the skin three times with the elastic member 120, a graph of three pressure data sets corresponding to the three pressure application processes can be obtained using the pressure sensor 130. The processor can use an existing or future algorithm to determine the pressure plateaus and their pressure signature values (which may be the average pressure values within the pressure plateaus) for each of the three pressure data sets, and then increase and decrease the maximum (pressure signature value 2 for the second application in this example) and minimum (pressure signature value 3 for the third application in this example) values by 1 percent to set a preset pressure range. The percentage increase and decrease can be the same or different, for example, between 0 and 15%.
[0045] In some embodiments of the present application, the pressure signature value of the pressure plateau period of the pressure data set used in the process of setting the preset pressure zone may be limited to a preset threshold range. The preset threshold range may be set empirically, for example, determined based on the normal human force usage habits. If the user presses the telescopic member 120 using a force that exceeds the normal human force usage range, the current pressure data may be determined as invalid, i.e., not used to participate in the process of setting the preset pressure zone. In other words, the processor may be configured to process the pressure data set within the preset threshold range among the multiple pressure data sets to determine its pressure plateau period and its pressure signature value, and then determine the preset pressure zone based on the pressure signature value.
[0046] In some embodiments of the present application, when a user presses their skin with the elastic member 120, the normal of the skin contact surface 121 is substantially perpendicular to the user's skin. In actual use, the user can apply the skin contact surface 121 as perpendicular to the skin surface as possible according to their own habits, and apply a uniform force along the normal direction of the contact surface, causing a noticeable pressure sensation on the skin but not discomfort. In this way, the pre-set pressure range can be determined more reasonably, and unreasonable detection results of such force usage can be filtered out using a subsequent pressure filter.
[0047] In some embodiments of the present application, skin detection device 140 may include an electrode sensor 141, a capacitive fingerprint detector 142, and an optical sensor 143, as shown in FIG.
[0048] The electrode sensor 141 is disposed within the skin contact surface 121 and is used to detect capacitance data of the user's skin. The capacitance data is related to the moisture and adhesion of the user's skin. Generally, the wetter the skin, the higher the capacitance value, and vice versa. Therefore, existing or future algorithms can be employed to process the capacitance data of the user's skin to obtain a moisture index of the user's skin.
[0049] The capacitive fingerprint detector 142 is disposed in the skin contact surface 121 and is used to detect texture data of the user's skin. The texture data can represent the elasticity, pores, and / or minutiae of the user's skin. Therefore, existing or future algorithms can be employed to process the texture data of the user's skin to obtain the elasticity index, pore index, and / or minutiae index of the user's skin.
[0050] The optical sensor 143 can detect optical feedback data of the user's skin through a transparent window 144 located on the skin contact surface 121. The capacitance data, texture data, and optical data can be associated via timestamps to form a set of skin data. In this way, the skin data set can include multiple sets of skin data.
[0051] The optical sensor 143 may include a photosensitive element that can instantly provide feedback on the received light intensity after receiving a light stimulus. The optical sensor 143 may include a cavity with only one fenestration surface, with the photosensitive element and light source (e.g., a white light emitter) located at the bottom and the window located at the top. When the fenestration surface fits onto the skin, the cavity is closed. At this time, the white light emitter is opened to illuminate the cavity with a fixed output. The brightness of the cavity is affected by the skin color (brightness), and a different signal is fed back to the photosensitive element, thereby determining the degree of whiteness on the skin-contacting surface. In other words, the optical sensor 143 may be configured such that light is emitted from the light source and irradiated onto the user's skin through the transparent window 144, and then the light reflected from the user's skin through the transparent window 144 is detected by the photosensitive element to generate optical feedback data. An existing or future algorithm may then be employed to process the optical feedback data of the user's skin to obtain a whiteness index for the user's skin.
[0052] In some embodiments of the present application, an existing or future algorithm may be employed to assess the oiliness index of the user's skin based on at least one of the moisture index, whiteness index, elasticity index, pore index, and fineness index.
[0053] In some embodiments of the present application, the electrode sensor 141 and the optical sensor 143 may initiate detection in response to pressure being detected by the pressure sensor 130, and the capacitive fingerprint detector 142 may initiate detection in response to the pressure detected by the pressure sensor being within a preset pressure range.
[0054] FIG. 4 shows a schematic example of how a pressure sieve is used to screen skin detection data. FIG. 4 shows data acquired over time by the capacitive fingerprint detector 142, electrode sensor 141, and pressure sensor 130. In this example, the electrode sensor has a sampling frequency of approximately 660 Hz, the optical sensor has a sampling frequency of approximately 660 Hz (for simplicity, a graph of the optical feedback data is not shown in FIG. 4), and the capacitive fingerprint detector has a sampling frequency of approximately 5 Hz. The electrode sensor 141 and optical sensor 143 perform test screening in synchronization with the pressure sensor 130, and the capacitive fingerprint detector 142 is activated when the pressure value of the pressure sensor 130 reaches a passing dynamic range. A set of skin data is composed of capacitance data, texture data, and optical data from the same time, and a skin dataset can include multiple sets of skin data from different times.
[0055] Thus, the processor can process the pressure data set to determine pressure plateaus and their corresponding pressure signature values. In this example, the pressure signature values are within the predetermined pressure interval, so the current detection is valid, and the processor can then process the sets of skin data corresponding to the pressure plateaus in the skin data set to obtain skin characteristics.
[0056] In some embodiments of the present application, the processor may be further configured to analyze multiple sets of skin data corresponding to different points in time over a period of time and combine the environmental parameters to determine dynamic change parameters of the user's skin, including water retention capacity, water loss rate, oil runoff rate, or temperature-skin change rate.
[0057] In some embodiments of the present application, the system may further include a prescription module, which may determine a skin care regimen and dosage suitable for the user's skin based on the skin characteristics. In this way, for acceptable sensor data (i.e., the pressure signature value is within a predetermined pressure range and corresponds to a pressure plateau), the system 100 may use an algorithm to obtain the original parameter values, convert them into an index representing the skin condition, and then calculate the corresponding skin care regimen and dosage for the user to use.
[0058] For example, skin detection can be adapted to a user's daily skincare routine, such as (1) waking up every morning without any cleansing or skincare routine (detection is followed by face wash and skincare routine), and (2) every night after cleansing (detection is followed by application of a skincare product and then sleep). These two tests form a closed loop of operation, effectively detecting changes in skin condition with minimal external influence. In conjunction with daily detection and skincare routines, the algorithm using the pressure sensor 130 can be optimized to obtain a mechanical stable period (i.e., a preset pressure period) that is more suited to the user's own usage habits, thereby reducing the subjective influence of the user in the detection process. At the same time, the dynamic data obtained for the same user can be compared: (1) the changes in skin parameters from the time the user sleeps until they wake up in the morning, which are relatively subjectively influenced and within a stable cycle, and (2) the changes in skin parameters at the same time each day (at which the objective skin conditions are relatively stable and consistent). By comparing these two dynamic data, it not only reflects the dynamic parameters of the skin, but also provides feedback on the actual effect of the skin care products on the user. The data changes every cycle (usually 28 days) to further optimize the user's skin care regimen.
[0059] In some embodiments of the present application, the system 100 may further include a plurality of support pressure sensors 150. The plurality of support pressure sensors 150 may be uniformly distributed around the pressure sensor 130 to detect pressure at multiple points when pressure is applied to the skin-contacting surface 121. For example, as shown in FIG. 1 , the support pressure sensor 150 may be disposed below the spring 111. Note that FIG. 1 shows only one possible arrangement of the support pressure sensor 150. Those skilled in the art will appreciate that the support pressure sensor 150 may be installed in other locations and may have various arrangements to measure pressure received by the skin-contacting surface 121 of the elastic member 120 at multiple points, and the present application is not intended to limit the specific location and arrangement of the support pressure sensor 150.
[0060] The support pressure sensor 150 can operate simultaneously with the pressure sensor 130. When the user presses the elastic member 120 against the skin of the face, the support pressure sensors 150 simultaneously provide sensed pressure data, and the system 100 compares the corresponding sets of obtained data to obtain the pressure difference, and combines and compares the data from the pressure sensor 130. If the pressure difference is greater than a certain threshold, it can be determined that the user's force application is uneven, and remeasurement is required. In this way, the problem of the elastic member 120 unintentionally tilting when the user performs the test can be effectively avoided.
[0061] In some embodiments of the present application, the pressure data provided by the pressure sensor 130 and the plurality of support pressure sensors 150 may also be analyzed to assist in determining a skin elasticity index of the user. The final stroke after the pressure sensor 130 receives the user's pressure is fixed, and this stroke can be combined with the difference in the measured user's different plateau pressure values and the difference in pressure of the different support pressure sensors 150 to assist in the analytical calculation of the skin elasticity index.
[0062] In some embodiments of the present application, system 100 may further include a user interface for displaying information to a user. For example, the user interface may be located on main body 110, or the user interface may be provided by an application on a user device (e.g., a smartphone) that communicates with system 100. The displayed information may include at least one of a moisture index, an oil index, a whiteness index, an elasticity index, a pore index, a fineness index, a moisture holding capacity, a moisture loss rate, an oil loss rate, a temperature-skin change rate, and a remeasurement indication.
[0063] One or more of the above-described techniques and / or embodiments may be implemented using hardware and / or software, or may include hardware and / or software, e.g., modules or devices executed on one or more electronic devices. Of course, the modules or devices described herein represent various functions and do not limit the structure and functionality of the embodiments. Conversely, the functionality of each module or device may be divided and performed differently by more or fewer modules or devices as considered based on various designs.
[0064] The techniques described herein may be implemented in hardware, software, firmware, or any combination thereof, unless specifically described as implemented in a particular manner. Any features described as modules or components may be implemented together in an integrated logic device or individually as discrete but interoperable logic devices. If implemented in software, the techniques may be implemented at least in part via a non-transitory processor-readable storage medium containing instructions that, when executed, perform one or more of the methods described above. The non-transitory processor-readable data storage medium may form part of a computer program product, which may include packaging materials. The program code may be implemented in a high-level process programming language or an object-oriented programming language to communicate with a processing system. Assembly or machine language may also be used to implement the program code, if desired. Indeed, the mechanisms described herein are not limited to the scope of any particular programming language. In any case, the language may be a compiled or interpreted language.
[0065] One or more aspects of at least some embodiments may be implemented by expressive instructions representing various logic within a processor stored on a machine-readable medium, which, when read by a machine, cause the machine to produce logic for performing the techniques described herein.
[0066] Such machine-readable storage media may include, but are not limited to, non-transitory tangible arrangements of articles manufactured or formed by a machine or device, and may include storage media such as, for example, hard disks, floppy disks, optical disks, compact disk-read only memory (CD-ROM), compact disk-rewriteable (CD-RW), other types of disks such as magneto-optical disks, read-only memory (ROM), random access memory (RAM) such as dynamic random access memory (DRAM), static random access memory (SRAM), erasable programmable read-only memory (EPROM), flash memory, electrically erasable programmable read-only memory (EEPROM), phase change memory (PCM), magnetic or optical cards, or any other type of medium suitable for storing electronic instructions.
[0067] Commands may also be sent or received using a communications network of transport media via a network interface device utilizing any of a number of transport protocols (e.g., frame relay, Internet Protocol (IP), Transport Control Protocol (TCP), User Datagram Protocol (UDP), Hypertext Transport Protocol (HTTP), etc.).
[0068] Exemplary communication networks may include local area networks (LANs), wide area networks (WANs), packet data networks (e.g., the Internet), mobile phone networks (e.g., cellular networks), general legacy telephone (POTS) networks, and wireless data networks (e.g., the Institute of Electrical and Electronics Engineers (IEEE) 802.11 series standard called Wi-Fi®, the IEEE 802.16 series standard called WiMax®), the IEEE 802.15.4 series standard, peer-to-peer (P2P) networks, etc. In an example, a network interface device may include one or more physical jacks (e.g., Ethernet, coaxial, or telephone jacks) for connecting to a communication network, or one or more antennas. In an example, a network interface device may include multiple antennas that communicate wirelessly using at least one of single-input multiple-output (SIMO), multiple-input multiple-output (MIMO), or multiple-input single-output (MISO) technology.
[0069] The term "transport medium" includes any intangible medium capable of storing, encoding, or carrying instructions for execution by a machine, and "transport medium" should be considered to include digital or analog communication signals or other intangible media for facilitating the communication of such software.
[0070] Here, a system for skin detection according to the present application has been described. A feature of the system according to the present application is that when the elastic member is in a retracted position due to pressure from the user's skin, the pressure sensor and the skin detection device can operate simultaneously to obtain corresponding data, so that in subsequent data processing, the skin detection data can be screened using pressure as a filter, and the influence of subjective physical conditions (mainly manifested in mechanics) when using the detection device can be reduced or eliminated as much as possible.
[0071] Compared with the prior art, the beneficial technical effects of this application are: (1) "Pressure Sieve": By using a force sensor, a "pressure sieve" is formed that is targeted only at the subject, reducing the difference in test data caused by the user's personal force-using habits and making the test results more accurate; (2) Dynamic parameters of "self-ratio": By comparing the number of tests taken by the user at different times, several objective conditions are combined to form dynamic parameters of the test subject, providing more accurate and effective feedback on the subject's skin condition. Dynamic skin parameters include, for example, "moisture retention capacity," "moisture loss rate," "oil output rate," and "temperature-skin change rate"; (3) "Quantified efficacy feedback": By combining skin care prescriptions, a quantified efficacy model is formed between the user's own skin data and skin care products, forming a spiral ascending system between "detection-prescription," thereby effectively optimizing the prescription and allowing the user to intuitively experience the efficacy of the skin care products.
[0072] Several exemplary embodiments have been described above. However, it should be understood that various modifications can be made to the above-described exemplary embodiments without departing from the spirit and scope of the present invention. For example, suitable results can also be achieved if the described techniques are performed in a different order, and / or if the components in the described systems, architectures, devices, or circuits are combined in a different manner, and / or if other components or their equivalents are substituted or supplemented, and therefore these modified other embodiments also fall within the scope of protection of the claims.
Claims
1. The main body and an elastic member stretchable relative to the body and having a skin contact surface, the elastic member being in an extended position when no pressure is applied to the skin contact surface and in a retracted position when pressure is applied to the skin contact surface; a pressure sensor for detecting the pressure when the skin contact surface contacts the skin of a user to obtain a pressure data set; a skin detection device for acquiring a skin dataset when the skin contact surface is in contact with the skin of a user.
2. 10. The system of claim 1, further comprising a processor configured to process the pressure data set to determine pressure plateaus and their pressure signatures.
3. The system of claim 2, wherein the processor is configured to determine whether the pressure signature value is within a predetermined pressure interval, and if the pressure signature value is within the predetermined pressure interval, to process multiple sets of skin data corresponding to the pressure plateau in the skin dataset to obtain skin characteristics.
4. The preset pressure section is using the elastic member to press against the user's skin to obtain a pressure data set; the pressure data set is processed by the processor to determine a pressure plateau and its pressure signature; 4. The system of claim 3, wherein said pressure signature is provided to be increased and decreased by 1 percent to establish said preset pressure intervals.
5. The preset pressure section further comprises: pressing the elastic member against the user's skin multiple times to obtain multiple sets of pressure data; the plurality of pressure data sets are processed by the processor to determine a pressure plateau and its pressure signature for each pressure data set; 5. The system of claim 4, wherein the system is adapted to set the preset pressure intervals by increasing and decreasing the maximum and minimum values of the pressure signature by 1 percent, respectively.
6. 6. The system according to claim 4 or 5, wherein the pressure signature value is within a preset threshold range.
7. The system according to claim 4 or 5, wherein when the user presses the skin with the elastic member, the normal to the skin contact surface is substantially perpendicular to the user's skin.
8. The skin detection device includes: an electrode sensor disposed within the skin contact surface for detecting capacitance data of the user's skin; a capacitive fingerprint detector disposed within the skin contact surface for detecting texture data of the user's skin; an optical sensor for detecting optical feedback data of the user's skin through a transparent window disposed on the skin contact surface; 4. The system of claim 3, wherein the volumetric data, the texture data, and the optical data are associated via timestamps to form a set of skin data, the skin data set including multiple sets of skin data.
9. the optical sensor includes a light source and a photosensitive element; The optical sensor includes: Light is emitted from the light source and irradiated onto the user's skin through the transparent window; 9. The system of claim 8, wherein light reflected from the user's skin through the transparent window is detected by the photosensitive element to generate the optical feedback data.
10. 9. The system of claim 8, wherein the electrode sensor and the optical sensor detect pressure in response to the pressure being detected by the pressure sensor, and the capacitive fingerprint detector detects pressure in response to the pressure being detected by the pressure sensor being within a preset pressure range.
11. 9. The system of claim 8, wherein the skin characteristics include at least one of a moisture index, an oil index, a whiteness index, an elasticity index, a pore index, and a fineness index.
12. 4. The system of claim 3, wherein the processor is configured to analyze multiple sets of skin data corresponding to different points in time over a period of time and combine environmental parameters to determine dynamic change parameters of the user's skin, including water retention capacity, water loss rate, oil runoff rate, or temperature-skin change rate.
13. The system of claim 12, wherein the period of time is 6 hours, 12 hours, 1 day, 7 days, 28 days or more.
14. The system of claim 3 , further comprising a prescription module that determines a skin care product prescription and dosage appropriate for the user's skin based on the skin characteristics.
15. 10. The system of claim 1, further comprising a plurality of auxiliary pressure sensors uniformly distributed around the pressure sensor to detect pressure at a plurality of points when pressure is applied to the skin contact surface.
16. The system of claim 15, wherein the pressure data supplied from the pressure sensor and the plurality of supporting pressure sensors is analyzed to determine whether the pressure applied to the skin contact surface is uniform, and if the pressure applied to the skin contact surface is not uniform, the system is configured to indicate that remeasurement is required.
17. 17. The system of claim 16, wherein pressure data provided by the pressure sensor and the plurality of supporting pressure sensors is analyzed to assist in determining an elasticity index of the user's skin.
18. 10. The system of claim 1, further comprising a user interface provided by an application on a user device or located on the main unit that communicates with the system.
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