Description:FIELD OF THE INVENTION

[0001] The present invention relates to a skin evaluation system that is capable of monitoring skin health by collecting personal skin information without discomfort to offer tailored care advice, enabling users to maintain and improve their skin condition and overall wellness.

BACKGROUND OF THE INVENTION

[0002] In today’s world, individuals are becoming increasingly aware of the importance of maintaining good health and appearance, with particular attention given to skin health and overall wellness. A variety of external and internal factors including pollution, climate, diet, stress, and aging, affect the condition of the skin, often leading people to seek solutions that are both preventive and corrective. With the growing demand for personalized care, users are looking for methods that offer insights specific to their unique skin type, lifestyle, and health conditions. This has led to increased interest in systems that do not take a one-size-fits-all approach but instead adapt to the individual. Alongside this, there is a rising interest in integrating traditional health knowledge, such as Ayurveda, with current scientific advancements to achieve a more holistic and effective approach to personal care. Despite these interests, practical solutions that combine both personalized data and traditional principles in a simple and accessible format remain limited.

[0003] Traditionally, skin health evaluation has been done through visual inspection by dermatologists, manual skin type tests, or through user feedback using questionnaires or self-assessment charts. These approaches are often subjective and vary widely in accuracy depending on the skill of the evaluator and the honesty or awareness of the user. Additionally, they do not provide real-time or consistent data about skin changes over time. On the other hand, Ayurvedic diagnosis methods such as pulse reading, observation of skin characteristics, and assessment of a person’s dosha are typically conducted by trained practitioners.

[0004] While these methods offer personalized insights, they are often not standardized and depend heavily on the practitioner’s experience. Moreover, such assessments are not always easily accessible, especially in urban settings, and do not include measurable data that could be tracked over time. As a result, individuals seeking a comprehensive understanding of their skin and wellness status face challenges in accessing consistent, personalized, and data-driven guidance that merges traditional practices with modern scientific insight.

[0005] WO2024215557A1 discloses a wearable device includes a substrate having a first surface and a second surface, one or more sensors at least one of embedded in the substrate and attached to the second surface of the substrate, and one or more moisture management features disposed in the substrate. The one or more moisture management features include at least one of: one or more micro-vent holes extending between the first and second surfaces of the substrate; and one or more microfluidic channels extending at least from an interior of the substrate to a perimeter of the substrate.

[0006] US10512431B2 discloses a sensor patch for detecting extravasation is provided. The sensor patch includes an elastic film, and at least one sensing electrode disposed on the elastic film, wherein an electrical resistance of the at least one sensing electrode is changeable in response to a force acting on the at least one sensing electrode. According to further embodiments of the present invention, a sensing device is also provided.

[0007] Conventionally, many devices have been developed to monitor skin health and physiological parameters through wearable sensors and patches. However, the devices mentioned in the prior arts have limitations pertaining to their inability to provide a comprehensive evaluation that combines multiple skin biomarkers in real-time for Ayurvedic dosha analysis. Furthermore, many existing solutions do not offer continuous monitoring or consider the changes in skin condition over various biological and environmental cycles.

[0008] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of measuring multiple skin-related biomarkers in a non-invasive manner and transmitting this data for analysis of Ayurveda dosha based on user’s skin to provide personalized skincare and wellness recommendations.

OBJECTS OF THE INVENTION

[0009] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0010] An object of the present invention is to develop a system that is capable of evaluating a user skin to detect condition in real time using biological information collected directly from the user’s skin.

[0011] Another object of the present invention is to develop a system that is capable of handling and transferring personal skin data in an encrypted manner to maintain confidentiality of the user’s personal information.

[0012] Another object of the present invention is to develop a system that analyzes the collected data for accurate identification of skin health patterns including daily, monthly, and seasonal variations.

[0013] Yet another object of the present invention is to develop a system that curates a personalized skin care recommendations based on the user’s biological profile and traditional wellness principles.

[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0015] The present invention relates to a skin evaluation system that provides a non-invasive method to evaluate and track skin condition over time and combine traditional holistic approaches with modern analysis to provide customized care recommendations according to the user’s skin.

[0016] According to an embodiment of the present invention, a skin evaluation system is disclosed, comprising a reusable patch equipped with a plurality of non-invasive micrometre-width sampling channels designed to capture minute quantities of oil and moisture from the skin of a user without causing irritation, the patch includes a plurality of electromagnetically shielded sensors such as a pH sensor to detect changes in acid-alkaline balance, an electrical sensor for measuring skin moisture, an optical sensor combined with a near-infrared (NIR) sensor to determine oil secretion, and a temperature sensor to sense slight variations in skin temperature, these sensors are coupled to an embedded processing module that pre-processes and encrypts the sensor data to ensure the security of personal health information, a Bluetooth-based communication module within the patch transmits the encrypted data to a smartphone or computing unit running an application with a user interface, the application communicates with a cloud-hosted data analysis module that uses machine learning protocols to analyze the sensor measurements and identify the user’s Ayurvedic dosha by correlating the biological variables with traditional Ayurvedic categories, the patch adheres securely using medical-grade adhesive and is powered by a customized battery that supports solar charging, enabling continuous, real-time skin evaluation and wellness guidance.

[0017] According to another embodiment of the present invention, the present invention further comprising a method that involves steps such as applying the patch to clean skin, activating the patch, automatically collecting and pre-processing sensor data, encrypting the data, transmitting it via Bluetooth to a smartphone or computing device, analysing the data using machine learning protocols to identify the user’s Ayurvedic dosha, generating personalized skincare recommendations, delivering those recommendations to the user through an app interface, tracking the user’s progress over time, and finally removing the patch.

[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a flowchart depicting a workflow of a skin evaluation system.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0023] The present invention relates to a skin evaluation system that is capable of evaluating skin type based on Ayurvedic doshas by gathering individual’s skin information painlessly in view of helping users manage and enhance their skin and wellness efficiently and conveniently.

[0024] The present invention discloses a system for skin evaluation that includes a patch as a main body for evaluation. This patch is designed to be reusable, enabling multiple applications over time to facilitate continuous or periodic skin assessments without the need for frequent replacement. To securely attach the patch to the user’s skin during use, it incorporates a medical-grade adhesive that is carefully selected for its safety, hypoallergenic properties, and strong adhesion. This adhesive ensures that the patch remains firmly in place throughout the evaluation period, even during daily activities, while minimizing any potential skin irritation or discomfort.

[0025] The patch is fabricated from material that changes color based on the determined pH-balance of the skin of the user. This material contains pH-sensitive compounds that react chemically when exposed to skin secretions. As the pH of the skin changes, indicating shifts in acidity or alkalinity, the color of the material transitions accordingly within a defined color spectrum. This passive visual indicator provides an immediate, easy-to-observe signal that reflects the skin’s current pH balance without the need for electronic processing. The inclusion of this color-changing material supports quick, preliminary assessments and offers a complementary method of verification alongside the electronic sensor data.

[0026] The patch contains a plurality of non-invasive channels to capture oil and moisture from skin of a user. The embedded channels correspond to non-invasive micrometre width sampling channels that capture minute quantities of skin secretions without irritating the user wearing the patch. These channels are narrower than a human hair at 25-50 micrometers in width that capture minute quantities of skin secretions without irritating. These microchannel are narrow and shallow enough to enable capillary action or passive diffusion of secretions into the sensor contact area without penetrating the skin or causing discomfort. The materials and structure of the channels are biocompatible and gentle on the skin, ensuring that the patch could be worn continuously over extended periods without causing irritation, redness, or damage.

[0027] The channels are coupled to a plurality of sensors embedded within the patch. The sensors are electromagnetically shielded to eliminate interference among sensors. Electromagnetic shielding involves the use of magnetic materials around the sensors or their wiring to block unwanted electromagnetic fields from other sensors. This shielding ensures that each sensor captures accurate, independent data without cross-interference, thereby maintaining the reliability and precision of the overall system.

[0028] The sensors include a pH sensor configured to detect small changes in acid-alkaline balance in the skin of the user, an electrical sensor for detecting moisture excreted from skin of the user, an optical sensor in conjunction with a near infrared (NIR) senor to determine oil secreting, and temperature sensor configured to sense minute temperature variations in the skin of the user.

[0029] The pH sensor operates by detecting the hydrogen ion concentration present in the skin's surface moisture. The sensor is made using ion-sensitive field-effect transistors (ISFETs) that responds to the acidity or alkalinity of skin secretions collected through the non-invasive channels. As the pH level changes, the voltage across the sensor shifts, allowing the system to determine even small variations in the skin's acid-alkaline balance. This data is essential for evaluating skin health, as abnormal pH can indicate irritation, dryness, or microbial imbalance. pH sensor identifies very small changes as low as 0.1 pH units in user’s skin for checking acid-alkaline balance of the skin.

[0030] The electrical moisture sensor measures the electrical conductivity of the skin surface to determine its moisture level. Moisture in the skin increases the ability of the skin to conduct electricity, and the sensor uses this property to assess hydration status. The sensor includes two or more electrodes placed in contact with the skin, and a small current is passed between them. The resulting resistance or capacitance value indicates how much moisture is present in the upper skin layers, allowing for accurate, real-time hydration monitoring.

[0031] The optical sensor, combined with a near-infrared (NIR) sensor, detects oil secretion by analyzing light absorption and reflection patterns on the skin. The NIR light penetrates the outer skin layers and reflects back based on the oil content present. Sebum, the skin’s natural oil exhibits specific optical properties that influence how light is absorbed and scattered. By measuring these optical signals, the sensor quantifies oil levels on the skin surface without physical sampling, providing insights into skin type and sebaceous activity.

[0032] The temperature sensor is a thermistor embedded in the patch that senses minor changes in skin temperature by measuring resistance changes that occur with temperature variation. Skin temperature indicates inflammation, blood circulation, and metabolic activity. The sensor continuously monitors temperature shifts in the skin to provide context to other measurements, helping to identify stress responses or environmental effects on skin condition.

[0033] A processing module embedded within the patch to relay the data from the sensors to an application with a user interface installed on a smartphone/computing unit of the user. The processing module is embedded with logic to pre-process sensor measurements and encrypt sensor data to secure personal health information of the user. Pre-processing includes filtering noise, normalizing values, calibrating sensor outputs, and organizing the data into structured formats suitable for further analysis.

[0034] This initial processing step ensures that the data transmitted is clean, accurate, and optimized for efficient transmission and analysis. Additionally, the processing module includes embedded encryption protocols that convert the processed sensor data into secure, encoded formats before transmission. This encryption is implemented to protect the personal health information of the user, ensuring that sensitive biological data remains confidential during wireless communication to external devices.

[0035] The data is transmitted to a smartphone/computing unit of the user through a Bluetooth based communication module embedded within the patch. The Bluetooth based communication module includes a Bluetooth System-on-Chip (SoC) that is the central component that manages wireless communication. It includes a microcontroller, transceiver (radio), and often integrated memory for firmware. Antenna is a compact, embedded antenna is included to send and receive radio signals. A power management circuitry includes voltage regulators and filters to ensure stable power delivery to the Bluetooth chip from the device’s main battery or power source. Crystal Oscillator provides a clock signal that helps in timing the transmission and reception of Bluetooth signals, ensuring synchronization with other Bluetooth-enabled devices. The Bluetooth module includes communication interfaces like SPI (Serial Peripheral Interface) or UART (Universal Asynchronous Receiver-Transmitter) to connect with the patch's processing module for data exchange. A Firmware is embedded that manages Bluetooth pairing, data encryption, packet transmission, error correction, and connection state management.

[0036] The data is sent to a cloud database in an encrypted manner where a data analysis module hosted on cloud infrastructure identify Ayurveda dosha of the user. The data analysis module to determines patterns of changes in skin condition of the user over time on past skin conditions of the user, detect patterns in skin condition variations of the user on daily, monthly and hormonal cycles, seasonal shifts induced variations. The information about the user’s skin is analyzed by comparing to Ayurvedic teachings regarding how time influences the skin conditions of the user.

[0037] The data analysis module employs machine learning (ML) protocols to correlate sensor measurements with Ayurvedic categories to identify Ayurveda dosha of the user. The ML protocols are trained on datasets that include both modern biometric indicators and traditional Ayurvedic classifications, enabling the system to recognize patterns and correlations between the measured skin parameters and the three Ayurvedic doshas such as Vata, Pitta, and Kapha. Using supervised and unsupervised learning techniques, the module processes incoming data to classify the user's dominant dosha or any imbalance among the doshas.

[0038] The data analysis module includes recommendation protocol blending traditional Ayurvedic teachings with measured skin parameters of the user to generate personalized skin recommendations regime for the user. This protocol takes the user’s biometric data such as pH, moisture, oil levels, and temperature, and combines it with Ayurvedic principles related to dosha types and imbalances. Based on the identified dosha condition and current skin health indicators, the protocol generates a personalized skin care recommendation regime tailored to the user’s unique constitution and condition.

[0039] The recommendations may include specific skincare products, dietary suggestions, lifestyle adjustments, and natural remedies aligned with Ayurvedic practices. By blending quantified sensor data with centuries-old wellness knowledge, the protocol ensures that each recommendation is both scientifically informed and holistically aligned with the user’s traditional health profile, thereby providing targeted and meaningful skin and wellness guidance.

[0040] A user interface inbuilt within the user’s computing unit to display current and past skin information of the user and the identified Ayurvedic dosha of the user. The user interface includes a personalized recommendation console displaying product and practice recommendations for the user with periodic monitoring of outcomes of following the personalized recommendations by the use. These recommendations are generated based on the data analysis module’s output and are updated regularly based on the user’s response and ongoing sensor data. Additionally, the interface enables periodic monitoring by tracking how the user's skin parameters evolve after following the recommended routine, offering visual feedback on improvements or changes. This ongoing feedback loop helps users understand the effectiveness of their personalized regimen and supports long-term wellness management through consistent, data-driven insights.

[0041] The recommendations include individual Ayurvedic herbs and formulations that would suit user’s state of skin, Consumer-grade products that meet user’s requirements (in case for conventional products), dietary recommendations in order to treat internal influences on your skin health and lifestyle changes according to Ayurvedic philosophy.

[0042] The patch is powered by a customized battery (not shown in figure) and is also enabled to charge from solar power. The battery is associated with the patch to supply power to electrically powered components which are employed herein. The battery is comprised of a pair of electrodes named as a cathode and an anode. The battery uses a chemical reaction of oxidation/reduction to do work on charge and produce a voltage between their anode and cathode and thus produces electrical energy that is used to do work in the patch.

[0043] The battery supplies the necessary electrical power to operate all embedded electronic components, including the sensors, processing module, and Bluetooth communication module. The battery is configured to support low-power operation modes, which helps extend its usable life between charges. In addition to traditional charging methods, the patch is also enabled to recharge using integrated solar power.

[0044] A small solar cell embedded on the surface of the patch or connected to the battery converts ambient light into electrical energy, which is used to either recharge the battery or directly power the components when sufficient light is available. This dual-power design ensures uninterrupted operation of the patch and reduces dependency on external charging sources, thereby enhancing the usability and sustainability of the system during prolonged wear.

[0045] Referring to Figure 1, a flowchart depicting a workflow of the skin evaluation system is illustrated. A method of evaluating skin condition using a wearable skin patch comprises of following steps: a) applying the wearable skin patch to clean skin of a user, b) applying pressure on the skin patch to activate the skin patch, c) automatic activation of embedded sensors for collecting skin related data of the user for 15 minutes, d) Pre-processing of the collected sensor data, e) Encrypting the processed data, f) transmitting the encrypted user data to an application via Bluetooth, g) analyzing the user’s skin data using machine learning protocols, h) generating personalized skin care recommendations for the user, i) transmitting personalized recommendations to the user, j) viewing personalized recommendation by the user on a user interface, k) following personalized recommendation by the user, l) tracking progress of skin condition by the user, and m) removing the patch.

[0046] The present invention shows enhanced precision for the detection of the user’s skin. The pH readings of the patch are compared side by side with professional lab pH meters and found them match 95% of the time. The patch’s moisture readings correlate with professional moisture testing equipment (corneometers) 92% of the time. The oil measurement of the patch correlates with professional oil measuring equipment (sebumeters) 89% of the time. The temperature sensing is observed to change to within 0.15 degrees Celsius from medical-grade thermometers.

[0047] The skin evaluation has following advantages over the existing patches and skin detection technologies.

[0048] The developed system objectively links measured biological variables to classic Ayurvedic dosha types to incorporate ancient knowledge for betterment of the skin.

[0049] The developed system tests many various skin factors at once and provide a complete picture of how these factors interact with each other.

[0050] The developed system enables detection of cycles and patterns in your skin condition (day-to-day fluctuations, monthly hormonal cycles, seasonal shifts) and relate these to Ayurvedic teachings regarding how time influences the body and skin.

[0051] The developed system becomes progressively smarter as time passes by tracking the performance of its past recommendations and applies this data to enhance forthcoming suggestions.

[0052] The system employs both on-device preliminary processing and cloud-based extensive analysis. This hybrid maximizes both rapid response time and detailed evaluation in an effective manner.

[0053] A battery (not shown in figure) is associated with the system to supply power to electrically powered components which are employed herein. The battery is comprised of a pair of electrodes named as a cathode and an anode. The battery uses a chemical reaction of oxidation/reduction to do work on charge and produce a voltage between their anode and cathode and thus produces electrical energy that is used to do work in the system.

[0054] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1. A skin evaluation system, comprising:
a. a reusable patch provisioned with a plurality of non-invasive channels to capture oil and moisture from skin of a user;
b. a plurality of sensors embedded within the patch, the plurality of sensors is electromagnetically shielded to eliminate interference among sensors;
c. a processing module embedded within the patch;
d. a Bluetooth based communication module embedded within the patch;
e. a user interface with a user interface installed on a smartphone/computing unit of the user;
f. a data analysis module hosted on cloud infrastructure to identify Ayurveda dosha of the user;
Wherein the reusable patch uses medical grade adhesive to adhere to skin of the user, the plurality of non-invasive channels is coupled to the plurality of sensors, the plurality of sensors is coupled to the processing module, the system is configured to link measured biological variables from the plurality of sensors to classic Ayurvedic dosha types to enable real-time skin evaluation and recommendation for the user to correct the identified Ayurveddic dosha.

2. The skin evaluation system as claimed in claim 1, wherein the embedded channels correspond to non-invasive micrometre width sampling channels that capture minute quantities of skin secretions without irritating the user wearing the patch.

3. The skin evaluation system as claimed in claim 1, wherein the plurality of embedded sensors include a pH sensor configured to detect small changes in acid-alkaline balance in the skin of the user, an electrical sensor for detecting moisture excreted from skin of the user, an optical sensor in conjunction with a near infrared (NIR) senor to determine oil secreting, and temperature sensor configured to sense minute temperature variations in the skin of the user.

4. The skin evaluation system as claimed in claim 1, wherein the patch is fabricated from material that changes color based on the determined pH-balance of the skin of the user.

5. The skin evaluation system as claimed in claim 1, wherein the processing module is embedded with logic to pre-process sensor measurements and encrypt sensor data to secure personal health information of the user and in conjunction with the Bluetooth module transmits the data to the smartphone/computing unit of the user.

6. The skin evaluation system as claimed in claim 1, wherein the application is configured to communicate encrypted data of the user to the data analysis module hosted on the cloud, the user interface is configured to display current and past skin information of the user after following the personalized skin care recommendation, the user interface is configured to enable graphical display of the identified Ayurvedic dosha of the user, the user interface includes a personalized recommendation console displayin product and practice recommendations for the user with periodic monitoring of outcomes of following the personalized recommendations by the user.

7. The skin evaluation system as claimed in claim 1, wherein the data analysis module to determines patterns of changes in skin condition of the user over time on past skin conditions of the user, detect patterns in skin condition variations of the user on daily, monthly and hormonal cycles, seasonal shifts induced variations and relate these to Ayurvedic teachings regarding how time influences the skin conditions of the user, the data analysis module employs machine learning (ML) protocols to correlate senso measurements with Ayurvedic categories to identify Ayurveda dosha of the user, the data analysis module includes recommendation protocol blending traditional Ayurvedic teachings with measured skin parameters of the user to generate personalized skin recommendations regime for the user.

8. The skin evaluation system as claimed in claim 7, wherein the personalized skin recommendation regime for the user includes specific product recommendation, diet to follow, precautions to take for the user.

9. The skin evaluation system as claimed in claim 1, wherein the patch is powered by a customized battery and is also enabled to charge from solar power.

10. A method of evaluating skin condition using a wearable skin patch, the method, comprising:
a. Applying the wearable skin patch to clean skin of a user;
b. Applying pressure on the skin patch to activate the skin patch;
c. Automatic activation of embedded sensors for collecting skin related data of the user;
d. Pre-processing of the collected sensor data;
e. Encrypting the processed data;
f. Transmitting the encrypted user data to an application via Bluetooth;
g. Analysing the user’s skin data using machine learning protocols;
h. Generating personalized skin care recommendations for the user;
i. Transmitting personalized recommendations to the user;
j. Viewing personalized recommendation by the user on a user interface;
k. Following personalized recommendation by the user;
l. Tracking progress of skin condition by the user; and
m. Removing the patch.