Intelligent insole system

Abstract

The invention provides an intelligent insole system, which is used for monitoring the tightness of children's shoes and comprises an intelligent insole, a data collection module, a wireless transmission module, a smart phone APP and a cloud data analysis platform, a high-precision flexible pressure sensor array is arranged in the intelligent insole and is arranged in a toe area of the insole; the data collection module is used for collecting pressure data from the pressure sensor array and performing primary processing; the wireless transmission module is connected with the data collection module and is used for transmitting the processed data to external equipment in real time; the smart phone APP is used for receiving and displaying the pressure data transmitted by the insole, analyzing the tightness of the shoe and providing a tightness evaluation result; and the cloud data analysis platform is used for further processing and analyzing data from the smart phone APP so as to optimize a tightness evaluation algorithm.

Description

Technical Field

[0001] The present invention relates to the field of intelligent wearable devices, and in particular to an intelligent insole system. Background Art

[0002] Young children have limited perception of whether shoes fit well and may not be able to accurately express whether shoes are comfortable. Children are more adaptable to ill-fitting shoes and are more likely to develop foot deformities.

[0003] With the accelerated pace of modern life and the increasing work pressure, more and more people are in a sub-healthy state, which prompts people to pay more attention to health and wellness. As children are in a critical stage of growth and development, foot health is crucial to their growth. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent insole system, aiming to design an intelligent insole with an integrated pressure sensor, which can monitor the comfort of children wearing shoes in real time, especially judge whether the shoes are too tight by analyzing the pressure distribution in the toe area.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A smart insole system for monitoring the tightness of children's shoes, comprising:

[0007] A smart insole with a high-precision flexible pressure sensor array disposed in the toe area of ​​the insole, particularly under the first to third toes;

[0008] A data collection module, used for collecting pressure data from the pressure sensor array and performing preliminary processing;

[0009] A wireless transmission module, connected to the data collection module, is used to transmit the processed data to an external device in real time;

[0010] Smartphone APP, used to receive and display the pressure data transmitted by the insole, analyze the tightness of the shoe, and provide tightness assessment results;

[0011] A cloud-based data analysis platform is used to further process and analyze the data from the smartphone app to optimize the tightness assessment algorithm.

[0012] Preferably, the smart insole is made of breathable, sweat-absorbent environmentally friendly material, the pressure sensor array is seamlessly integrated with the insole material, and the insole is built with a micro low-power battery and energy harvesting technology to extend battery life.

[0013] Preferably, the smartphone APP has the following functions:

[0014] Real-time display of pressure distribution map of toe area;

[0015] Automatically evaluate the tightness of the shoe based on the received pressure data and give prompts such as "comfortable", "slightly tight", "too tight", etc.

[0016] Record the tightness assessment results of each wear, which is convenient for long-term tracking of foot development and shoe replacement needs;

[0017] When it is detected that the shoes are in a "too tight" state for a long time, a reminder notification will be automatically sent to the parents.

[0018] Preferably, the tightness evaluation method comprises the following steps:

[0019] Data collection and preprocessing: collecting pressure data of the toe area through smart insoles and performing filtering and denoising;

[0020] Extract pressure features and calculate the average pressure value and pressure distribution of each sensor in the toe area;

[0021] The tightness assessment algorithm sets a series of pressure size and distribution thresholds, compares the pressure characteristics collected in real time with the thresholds, and thus determines the tightness of the shoe.

[0022] Preferably, the tightness assessment algorithm also includes a trend prediction function, which uses historical data and a machine learning algorithm to predict the changing trend of pressure in the future, so as to issue a reminder to change shoes in advance.

[0023] Preferably, the data collection module includes a microprocessor for performing preliminary processing on the collected raw pressure data, wherein the preliminary processing includes filtering, denoising and data compression.

[0024] Preferably, the wireless transmission module adopts low-power Bluetooth or other wireless communication technologies.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] An intelligent insole system consists of an intelligent insole, a data collection module, a wireless transmission module, a smartphone APP and a cloud data analysis platform. The insole can monitor the comfort of children wearing shoes in real time, especially by analyzing the pressure distribution in the toe area to determine whether the shoes are too tight. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0029] The present invention is further described in detail below with reference to the accompanying drawings.

[0030] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be used for other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0031] See also Figure 1 The present invention provides an intelligent insole system for monitoring the tightness of children's shoes, comprising:

[0032] A smart insole having a built-in high-precision flexible pressure sensor array, which is arranged in the toe area of ​​the insole, particularly under the first to third toes;

[0033] A data collection module, used for collecting pressure data from the pressure sensor array and performing preliminary processing;

[0034] A wireless transmission module, connected to the data collection module, is used to transmit the processed data to an external device in real time;

[0035] Smartphone APP, used to receive and display the pressure data transmitted by the insole, analyze the tightness of the shoe, and provide tightness assessment results;

[0036] A cloud-based data analysis platform is used to further process and analyze the data from the smartphone app to optimize the tightness assessment algorithm.

[0037] The smart insole design of the present invention includes the layout of pressure sensors, material selection and power supply. Specifically:

[0038] Pressure sensor layout: Embed a high-precision flexible pressure sensor array in the toe area of ​​the insole (especially under the first to third toes). These sensors need to be highly sensitive, wear-resistant and soft to ensure that they can accurately capture the natural state changes of the toes;

[0039] Material selection: The insole is made of breathable, sweat-absorbent, comfortable and environmentally friendly material to ensure that the feet can keep dry even after long-term wear. The sensor area needs to be seamlessly integrated with the insole material to avoid affecting the wearing experience.

[0040] Power supply: The insole has a built-in micro low-power battery and uses energy harvesting technology (such as vibration energy generated when walking) to assist in power supply to extend battery life. At the same time, a low-power working mode is designed to activate the sensor only when necessary.

[0041] The data collection module of the present invention includes a microprocessor for performing preliminary processing on the collected raw pressure data. Specifically:

[0042] Data collection: The pressure data of the toe area is collected in real time through the flexible pressure sensor array built into the smart insole. These sensors should have high sensitivity and good durability to ensure that the natural state changes of the toes can be accurately captured;

[0043] Preliminary processing: including filtering, denoising and data compression.

[0044] The wireless transmission module of the present invention is connected to the data collection module, and adopts low-power Bluetooth (BLE) or other suitable wireless communication technology to transmit the processed data in real time to the paired smart phone APP.

[0045] The smartphone APP of the present invention includes functions such as real-time display, tightness assessment, history recording, reminder, etc.

[0046] Specific

[0047] Real-time display: The APP interface displays the pressure distribution map of the toe area in real time, and parents can intuitively check the status of their children's feet;

[0048] Tightness assessment: The built-in algorithm of the APP analyzes the bending degree of the toes and the changes in pressure distribution based on the received pressure data, automatically assesses the tightness of the shoes, and gives prompts such as "comfortable", "slightly tight", "too tight", etc.

[0049] Historical records: Record the tightness assessment results of each wearing, so that parents can track their children's foot development and shoe replacement needs over the long term;

[0050] Reminder function: When it is detected that the shoes are in a "too tight" state for a long time, the APP will automatically send a reminder notification to the parents, suggesting that the shoes be replaced in time.

[0051] Further, the methods of tightness evaluation include:

[0052] 1. Data collection and preprocessing

[0053] Data collection: obtain the data collected by the data collection module;

[0054] Data preprocessing: Filter and denoise the collected raw pressure data to remove data fluctuations caused by sensor noise or external interference. At the same time, normalize the data to make the data between different sensors comparable.

[0055] 2. Pressure feature extraction

[0056] Pressure size characteristics: Calculate the average pressure value of each sensor in the toe area, as well as the average pressure value of the entire area. These values ​​reflect the degree of pressure on the toes by the shoe;

[0057] Pressure distribution characteristics: Analyze the pressure distribution of each sensor in the toe area, especially pay attention to the pressure comparison between the toe position and the back area. When the shoes are too tight, the pressure at the toe position will increase significantly, while the back area may be pressure-free or have significantly reduced pressure.

[0058] 3. Compactness evaluation algorithm

[0059] (1) Threshold setting: A series of pressure thresholds and pressure distribution thresholds need to be set based on experimental data or expert advice. These thresholds may vary depending on factors such as the child’s age, weight, and activity level, but here we provide a general example;

[0060] Pressure threshold (P thresh ): Set an average pressure threshold. When the average pressure in the toe area exceeds this threshold, the shoe is considered to be too tight.

[0061] Pressure distribution threshold (D thresh ): This is a relative value used to compare the pressure difference between the toe position and the rear area. A ratio or difference threshold can be set.

[0062] (2) Status judgment: Compare the pressure characteristics collected in real time with the set threshold. If the average pressure value exceeds the pressure threshold, or the pressure distribution characteristics meet the characteristics of an overtight state (such as a significant increase in pressure at the toe position and a decrease in pressure in the rear area), the shoe may be judged to be too tight;

[0063] The average pressure value P avg calculate:

[0064]

[0065] in:

[0066] N represents the total number of sensors in the toe area (this is a positive integer);

[0067] P i Represents the pressure value of the i-th sensor (this is a real number, the unit may be Pascal Pa or other pressure units);

[0068] Σ i＝1 NP i From P1 to P N The sum of the pressure values ​​of the sensors.

[0069] Analysis of pressure distribution:

[0070] In order to analyze the distribution of pressure in the toe area, it is necessary to calculate the average pressure values ​​of the toe position and the rear area respectively, specifically:

[0071] Average pressure P at toe position toe It can be calculated by the following formula:

[0072]

[0073] in:

[0074] S toe represents the set of toe position sensors (this is a finite set);

[0075] ∣S toe ∣ represents the number of sensors in the toe position sensor set (this is a positive integer);

[0076] It means summing the pressure values ​​of all sensors at the toe position.

[0077] The average pressure in the posterior region is P back It can be calculated by the following formula:

[0078]

[0079] in:

[0080] S back Represents the set of sensors in the rear area (this is also a finite set);

[0081] ∣S back ∣ represents the number of sensors in the sensor set in the back-end area (this is also a positive integer);

[0082] Indicates the sum of the pressure values ​​of all sensors in the rear section.

[0083] (3) Threshold comparison includes pressure threshold comparison and pressure distribution threshold comparison.

[0084] Pressure threshold comparison: The calculated average pressure value (P avg ) and the preset pressure threshold (P thresh ) for comparison. If (P avg >Pthresh ), then the pressure in the toe area may be too great and further analysis is needed;

[0085] Pressure distribution threshold comparison: Based on the results of the pressure distribution analysis, the pressure difference (such as ratio or difference) between the toe position and the posterior region is calculated and compared with the preset pressure distribution threshold (D thresh ) and if the difference exceeds a threshold, it indicates that the shoe may be too tight because the toes are forced to bend to fit the shoe size.

[0086] (4) Tightness judgment: Based on the results of the comprehensive pressure threshold comparison and the pressure distribution threshold comparison, if both indicate that the shoes may be too tight, the system can determine that the shoes are indeed too tight and trigger the corresponding prompt mechanism.

[0087] 4. Trend prediction: Based on historical data, use time series analysis or machine learning algorithms (such as LSTM) to predict the pressure change trend in the future. If the prediction results show that the pressure will continue to increase or remain at a high level, and the pressure distribution characteristics continue to meet the over-tight state, a reminder to change shoes will be issued in advance.

[0088] The reminder function includes real-time reminders: when it detects that the shoes may be too tight, the smart insole sends information to the smartphone APP through the wireless transmission module. The APP interface will display the tightness assessment results and issue a reminder to change shoes.

[0089] The cloud data analysis platform of the present invention is used to further process and analyze the data from the smartphone APP based on historical records and feedback to optimize the tightness assessment algorithm. The APP records the tightness assessment results and prompt records of each wear, so that parents can track their children's foot development and shoe replacement needs in the long term. At the same time, parents can provide feedback through the APP to help optimize the tightness assessment algorithm and prompt mechanism.

[0090] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and the embodiments of the present invention may be deformed or modified in any way without departing from the principles.

Claims

1. An intelligent insole system for monitoring the tightness of children's shoes, characterized by: include: Smart insoles, which have a high-precision flexible pressure sensor array built into the toe area of ​​the insole; A data collection module, used for collecting pressure data from the pressure sensor array and performing preliminary processing; A wireless transmission module, connected to the data collection module, is used to transmit the processed data to an external device in real time; Smartphone APP, used to receive and display the pressure data transmitted by the insole, analyze the tightness of the shoe, and provide tightness assessment results; A cloud-based data analysis platform is used to further process and analyze the data from the smartphone app to optimize the tightness assessment algorithm.

2. The intelligent insole system according to claim 1, characterized in that: The smart insole is made of breathable, sweat-absorbent environmentally friendly materials. The pressure sensor array is seamlessly integrated with the insole material, and the insole is built with a micro low-power battery and energy collection technology to extend the battery life.

3. The intelligent insole system according to claim 1, characterized in that: The smartphone APP has the following functions: Real-time display of pressure distribution map of toe area; Automatically evaluate the tightness of the shoe based on the received pressure data and give prompts such as "comfortable", "slightly tight", "too tight", etc. Record the tightness assessment results of each wear, which is convenient for long-term tracking of foot development and shoe replacement needs; When it is detected that the shoes are in the "too tight" state for a long time, a reminder notification is automatically sent to the parents.

4. The intelligent insole system according to claim 1, characterized in that: The method for evaluating the tightness comprises the following steps: Data collection and preprocessing: collecting pressure data of the toe area through smart insoles and performing filtering and denoising; Extract pressure features and calculate the average pressure value and pressure distribution of each sensor in the toe area; The tightness assessment algorithm sets a series of pressure size and distribution thresholds, compares the pressure characteristics collected in real time with the thresholds, and thus determines the tightness of the shoe.

5. The intelligent insole system according to claim 4, characterized in that: The tightness assessment algorithm also includes a trend prediction function, which uses historical data and a machine learning algorithm to predict the changing trend of pressure in the future, so as to issue a reminder to change shoes in advance.

6. The intelligent insole system according to claim 1, characterized in that: The data collection module includes a microprocessor for performing preliminary processing on the collected raw pressure data, wherein the preliminary processing includes filtering, denoising and data compression.

7. The intelligent insole system according to claim 1, characterized in that: The wireless transmission module adopts low-power Bluetooth.

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