Intelligent correction system based on pressure-action correlation analysis

Abstract

The invention discloses an intelligent correction system based on pressure-action correlation analysis. The intelligent correction system comprises a flexible sensing insole body, an energy autonomous module, a microprocessor control module, an intelligent analysis module and a real-time display and feedback module. The flexible sensing insole main body is provided with N pressure monitoring areas, each pressure monitoring area is integrated with a flexible capacitive pressure sensor to form an N-channel pressure sensing array, the microprocessor control module is connected with the N-channel pressure sensing array and the energy autonomous module, and the energy autonomous module is connected with the microprocessor control module. The microprocessor control module is connected with the intelligent analysis module and the real-time display and feedback module. The system can integrate the functions of high-precision flexible sensing, autonomous energy supply, intelligent gait analysis and real-time correction feedback.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of intelligent wearable devices and rehabilitation training, and relates to an intelligent correction system based on pressure-motion correlation analysis. BACKGROUND

[0002] Research shows that changes in the structure of the human foot directly affect the dynamic function of the foot, and the root cause of many foot pathological problems lies in biomechanical imbalance. The core purpose of the clinical division of abnormal foot morphology is to simplify the analysis difficulty of the complex anatomical structure of the foot and provide a basis for precise intervention. Among them, foot eversion, as one of the common foot deformities, is often caused by abnormal development of foot tendons, which not only causes medial ankle pain, long-term standing or walking limitation, but also can cause knee, waist and hip pain, and induce complications such as tendonitis and plantar fasciitis. It is worth noting that the spatial distribution of plantar pressure corresponding to the metatarsal bones and toes of flat eversion foot and normal foot has similar patterns during walking, which further highlights the key value of plantar pressure information in foot disease diagnosis: through quantitative analysis of pressure distribution differences, pathological and normal states can be accurately distinguished. With the advancement of technology and the improvement of public health awareness, the measurement and analysis of multi-dimensional data such as dynamic and static characteristics of plantar pressure distribution, gait cycle, body balance and plantar force mode have been widely used in foot health assessment, early diagnosis of diseases and optimization of movement posture.

[0003] Gait monitoring and motion correction are the core technical means of lower limb dysfunction rehabilitation, sports injury prevention and posture optimization, but the existing plantar pressure monitoring equipment still has significant limitations: (1) Insufficient sensing performance: traditional pressure sensors have a narrow detection range (mostly limited to 1 kPa-1 MPa), making it difficult to capture subtle changes in plantar pressure (such as dynamic fluctuations in arch support force); and poor flexibility, with a cycle test life of less than 5000 times, which can easily lead to data distortion and affect analysis accuracy. (2) Limited energy endurance: mostly rely on traditional lithium batteries for power supply, requiring frequent charging, which limits practicality in outdoor or long-term monitoring scenarios; some solar power supply solutions lack efficient energy storage batteries, making it difficult to meet daily use needs in low light environments. (3) Lack of intelligent analysis and feedback: only capable of collecting and storing pressure data, lacking precise recognition ability for arch abnormalities and pathological gait (classification accuracy of existing technologies is mostly less than 90%); and lacking real-time correction mechanism, unable to dynamically guide users to adjust their actions, making it difficult to achieve a "monitoring-intervention" closed loop. (4) Poor interactive experience: data display is single (mostly raw values or simple curves), making it difficult for users to intuitively understand the correlation between plantar pressure distribution and action abnormalities, which is not conducive to self-adjustment and rehabilitation training.

[0004] In addition, the traditional plantar pressure monitoring device is mostly a large instrument, which has poor portability, cannot meet the daily dynamic monitoring demand, is high in price and is difficult to popularize to the general consumer group; meanwhile, most of the portable devices on the market can only monitor the stress condition of the local area of the plantar, and cannot realize the overall analysis of the whole foot pressure. Therefore, a closed-loop system integrating high-precision flexible sensing, autonomous energy supply, intelligent gait analysis and real-time correction feedback function is urgently needed to break through the technical bottleneck and meet the precise and convenient demand of clinical rehabilitation, sports training and the like. SUMMARY

[0005] The present application aims to overcome the above-mentioned shortcomings of the prior art, and provides an intelligent correction system based on pressure-motion correlation analysis, which can integrate high-precision flexible sensing, autonomous energy supply, intelligent gait analysis and real-time correction feedback function.

[0006] To achieve the above-mentioned purpose, the present application discloses an intelligent correction system based on pressure-motion correlation analysis, which comprises a flexible sensing insole main body, an autonomous energy module, a microprocessor control module, an intelligent analysis module and a real-time display and feedback module; the flexible sensing insole main body is provided with N pressure monitoring areas, each pressure monitoring area is integrated with a flexible capacitive pressure sensor, forming an N-channel pressure sensing array, the microprocessor control module is connected with the N-channel pressure sensing array and the autonomous energy module, and the microprocessor control module is connected with the intelligent analysis module and the real-time display and feedback module.

[0007] Further, the autonomous energy module is an integrated structure of a nano perovskite solar cell and a high-capacity lithium-sulfur nano battery.

[0008] Further, the nano perovskite solar cell is used for light charging, and the lithium-sulfur nano battery is used for energy storage.

[0009] Further, the intelligent analysis module adopts a random forest model to judge the arch abnormal type.

[0010] Further, the intelligent analysis module adopts a one-dimensional neural network model to identify the pathological gait category.

[0011] Further, the intelligent analysis module extracts the time sequence features of the pressure transfer rate, the left-right foot pressure difference and the arch area pressure duration within the gait cycle from the N-channel pressure data, compares the time sequence features with a preset normal gait database, and outputs the arch abnormal type and the pathological gait category.

[0012] Further, the partition vibration of the real-time display and feedback module corresponds to the heel area, the medial arch area, the medial forefoot area, the lateral forefoot area and the toe area of the insole.

[0013] Further, the flexible capacitive pressure sensor comprises a lower electrode, a dielectric layer and an upper electrode.

[0014] Further, the flexible capacitive pressure sensor has a size of 1cm*1cm and can detect a pressure range of 0.1 Pa-1.4 MPa.

[0015] Further, the real-time display and feedback module is connected with the microprocessor control module through Bluetooth 5.0 wireless communication.

[0016] The application has the following beneficial effects: The intelligent correction system based on pressure-action correlation analysis can realize real-time feedback of the pressure state of the user's foot bottom through the capacitive pressure sensor array, and can guide correction through real-time feedback data in the monitoring of human gait, posture and foot health state, so that real-time, accuracy and intelligence are achieved. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the description of the embodiments of the present application will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 It is a structural diagram of the present application.

[0019] Figure 2 It is a working flowchart of the present application.

[0020] Figure 3 It is a physical diagram of the present application.

[0021] Figure 4 It is a structural schematic diagram of the capacitive pressure sensor in the present application. Figure 5 It is a physical diagram of the present application connected with the solar cell.

[0022] Figure 6 It is a device structure diagram, scanning electron microscope diagram and schematic diagram of perovskite crystal structure of a single PSC of the solar cell in the present application.

[0023] Figure 7 It is a schematic diagram of the FPC-05F-32PH20 type of the power strip adopted by the microprocessor control module 3 in the present application.

[0024] 1 is a flexible sensing insole main body, 2 is an energy self-contained module, 3 is a microprocessor control module, 4 is an intelligent analysis module, 5 is a real-time display and feedback module, 21 is a lower electrode, 22 is a microstructure dielectric layer, and 23 is an upper electrode. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application but not all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of the present application.

[0026] In the description of the present application, it should be understood that the terms "comprising" and "including" indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or sets thereof.

[0027] It should also be understood that the terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and the appended claims of the present application, unless otherwise clearly indicated by the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0028] It should be further understood that the term "and / or" used in the specification and the appended claims of the present application means any combination of one or more of the associated listed items and all possible combinations thereof, and includes these combinations, for example, A and / or B can represent three cases of A alone, A and B together, and B alone. In addition, the character " / " in the present application generally represents an "or" relationship between the front and rear associated objects.

[0029] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present application to describe the preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, the first preset range can also be referred to as the second preset range, and similarly, the second preset range can also be referred to as the first preset range without departing from the scope of the embodiments of the present application.

[0030] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "while" or "in response to determining" or "in response to detecting." Similarly, the phrase "if it is determined" or "if [a stated condition or event] is detected" can be interpreted to mean "upon determining" or "in response to determining" or "upon detecting [the stated condition or event]" or "in response to detecting [the stated condition or event]."

[0031] In order to make the purposes, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Generally, the components of the embodiments of the present application described here and shown in the drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the present application. Based upon the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0032] Various structural schematic diagrams according to the disclosed embodiments of the present application are shown in the drawings. These diagrams are not drawn to scale, in which some details are exaggerated for the purpose of clarity, and some details can be omitted. The shapes of various regions, layers, and the relative size and positional relationship therebetween shown in the drawings are merely exemplary, and in actuality, there can be deviations due to manufacturing tolerances or technical limitations, and regions / layers with different shapes, sizes, and relative positions can be additionally designed by those skilled in the art according to actual needs.

[0033] Reference Figure 1The intelligent correction system based on pressure-action correlation analysis includes a flexible sensing insole main body 1, an energy self-contained module 2, a microprocessor control module 3, an intelligent analysis module 4, and a real-time display and feedback module 5. The flexible sensing insole main body 1 is provided with 16 pressure monitoring areas, each of which is integrated with a flexible capacitive pressure sensor to form a 16-channel pressure sensing array. The energy self-contained module 2 is an integrated structure of a nano perovskite solar cell and a high-capacity lithium-sulfur nano battery, which provides continuous power supply for the system. The microprocessor control module 3 includes a main control chip, a voltage stabilizing module, a wireless communication module, and a capacitive signal processing module, which are connected to the 16-channel pressure sensing array and the energy self-contained module 2 through a power strip. The intelligent analysis module 4 is an embedded artificial intelligence algorithm built into the microprocessor control module 3, which analyzes the collected 16-channel spatiotemporal pressure data to achieve arch abnormality detection (accuracy ≥ 96.0%) and 12 pathological gait pattern classification (accuracy ≥ 97.6%). The real-time display and feedback module 5 is connected to the microprocessor control module 3 through Bluetooth 5.0 wireless communication, receives the processing data of the microprocessor control module 3 and the intelligent analysis module 4, displays the pressure distribution heat map and gait classification results in real time, and outputs action correction instructions through mobile phone display, partition vibration, voice prompt, and other ways according to the analysis results of arch abnormalities or pathological gaits, and gives correction suggestions.

[0034] In this embodiment, the flexible capacitive pressure sensor includes a lower electrode 21 (a copper electrode printed on a flexible substrate), a dielectric layer 22 (an elastic foam with chemical modification and double-layer microstructure superposition), and an upper electrode 23 (a flexible copper electrode). The size of the flexible capacitive pressure sensor is 1cm×1cm, which can detect a pressure range of 0.1 Pa-1.4 MPa, and the mechanical stability retention rate is ≥90% after 12,000 cycle tests.

[0035] In this embodiment, in the energy self-contained module 2, the nano perovskite solar cell and the lithium-sulfur nano battery are interconnected to form a self-contained charging and discharging module. The nano perovskite solar cell is used for light charging, with an average light charging efficiency ≥11.21%. The lithium-sulfur nano battery is used for energy storage, with an energy storage efficiency ≥72.15% and a battery capacity ≥500 mAh. It can still maintain continuous system operation ≥8 hours in a dark environment (light intensity ≤200 lux).

[0036] In this embodiment, the microprocessor control module 3 includes a STM32L151C8T6 main control chip minimum system, a voltage regulator module, a wireless communication module, and a capacitor signal processing module, which are connected to the 16-channel pressure sensor array and the energy self-sufficiency module 2 via a connector. The STM32L151C8T6 main control chip minimum system includes a power supply circuit, a reset circuit, a serial port debugging circuit, and a crystal oscillator circuit.

[0037] In this embodiment, the embedded artificial intelligence algorithm of the intelligent analysis module 4 adopts a random forest model for judging the type of foot arch abnormality (such as flat feet, high arches) and a one-dimensional neural network (1D-CNN) model for identifying pathological gait categories (such as limping, inversion gait).

[0038] In this embodiment, the embedded artificial intelligence algorithm of the intelligent analysis module 4 includes: a spatiotemporal feature extraction unit, used to extract temporal features such as pressure transfer rate, left and right foot pressure difference, and foot arch area pressure duration within the gait cycle from 16-channel pressure data; and a classification model unit, which compares the temporal features with a preset normal gait database and outputs foot arch abnormality types (such as flat feet, high arches) and pathological gait categories (such as limping, foot inversion gait).

[0039] In this embodiment, the zoned vibration of the real-time display and feedback module 5 corresponds to the five key correction areas of the insole: heel, medial arch, medial forefoot, lateral forefoot, and toes. When an abnormality is detected, the vibrator in the corresponding area prompts the adjustment of the force point at different frequencies (200 Hz-500 Hz). The voice prompt is implemented through the accompanying APP of the real-time display and feedback module 5, with a response delay of ≤300 ms.

[0040] like Figure 2 As shown, the insole itself is 232mm long and 78mm wide. Figure 3 As shown, the structure of a capacitive pressure sensor consists of a 1cm*1cm copper-tin lower electrode 21, a microstructure dielectric layer 22, and a 1cm*1cm copper sheet upper electrode 23. Figure 4 As shown, the solar cell section consists of multiple PSCs connected in series.

[0041] like Figure 5 As shown, a photosensitive perovskite (PSC) was fabricated on glass coated with indium tin oxide (ITO). Tin oxide (SnO2) and 2,2',7,7'-tetramethyls[N,N-di(4-methoxyphenyl)amino]-9,9'-spirobisfluorene (spiro-OMeTAD) were used as the electron and hole transport layers, respectively. A perovskite photoactive layer was sandwiched between SnO2 and spiro-OMeTAD. Silver (Ag) was used as the electrode. The active area of ​​the PSC was 0.08 cm².2 . Figure 6 Table 1 shows the pin numbers corresponding to each interface on the power strip. The power supply circuit includes C1, C2, and C3 connected in parallel between positive and negative terminals, and C4 connected between positive and negative terminals. The reset circuit consists of R6 and D1 connected in parallel, then connected in series with C13 to the nRST pin of the main control chip. The serial port debugging circuit connects P1 to the main control chip via SWDIO and SWCLK. The crystal oscillator circuit connects the two ends of Y1 to the main control chip via the OSCIN and OSCOUT pins. The voltage regulator module uses an S-1206B33 power regulator, with its VIN pin connected to the VBAT pin of one end of a switch, and the other end of the switch grounded. The wired communication module uses a BT5005A chip, which connects to the main control chip via the BLE_TX, BLE_RX, BLE_WAKEUP, BLE_MODE, and BLE_RST pins. The capacitor signal processing module includes 16 sets of capacitor signal processing circuits, each operating on the same principle and using the LMC555CMX chip. The THR pin is connected to the TRIG pin; one end is connected to a resistor and then to the DIS pin, followed by another resistor and then the power supply; the other end is grounded. The corresponding OUT pins are connected to the COUT pins of the main control chip. The connector is a 32-pin FPC-05F-32PH20, used for connecting to the insole.

[0042] Table 1

[0043] The working process of this invention is as follows: 1) Energy self-sufficiency module 2 is initialized, and the nano-perovskite solar cell charges the lithium-sulfur nano-cell to ensure stable power supply to the system; 2) The microprocessor control module 3 collects real-time spatiotemporal pressure data of the foot from a 16-channel pressure sensor array and transmits it to the intelligent analysis module 4; 3) The intelligent analysis module 4 uses embedded artificial intelligence algorithms to analyze data, identify foot arch status and gait patterns, and determine whether there are any abnormalities; 4) If an abnormality is detected, it is transmitted wirelessly to the real-time display and feedback module 5 to display a pressure heat map and provide correction suggestions: by triggering voice prompts and vibration in the corresponding area.

[0044] 5) Continuously monitor the user's adjusted stress data and update the analysis results until the gait parameters return to the normal range.

[0045] The present invention has the following specific features: This invention features high-precision, wide-range sensing capabilities, adaptable to complex plantar pressure scenarios: the 16-channel flexible capacitive pressure sensor employs a double-layer microstructure elastic foam dielectric layer 22 and flexible electrode design, covering a detection range of 0.1 Pa to 1.4 MPa, capable of simultaneously capturing minute pressure changes (such as arch support force) and high-intensity impacts (such as landing pressure during running); after 12,000 cycles of testing, the stability retention rate is ≥90%, solving the problems of insufficient accuracy and easy wear and tear of traditional sensors.

[0046] This invention features autonomous energy operation, breaking through the limitations of endurance: the autonomous energy module 2 works in tandem with nano-perovskite solar cells (average photocharging efficiency ≥11.21%) and lithium-sulfur nano-batteries (energy storage efficiency ≥72.15%) to achieve integrated power supply and energy storage; it can still work continuously for ≥8 hours even in low-light environments, eliminating the dependence of traditional equipment on wired charging and meeting the needs of long-term outdoor monitoring.

[0047] This invention enables AI-driven intelligent analysis to improve the accuracy of gait abnormality identification: The embedded algorithm of the intelligent analysis module 4 extracts spatiotemporal features such as pressure transfer rate and pressure difference between the left and right feet, and compares them with the normal gait database to achieve an accuracy rate of ≥96.0% for foot arch abnormality detection and ≥97.6% for classification of 12 pathological gait types, which is significantly higher than the existing technology (generally <90%), providing a reliable basis for accurate correction.

[0048] This invention enables real-time multimodal feedback for dynamic motion correction: the real-time feedback module provides precise force adjustment prompts through differentiated vibrations in five key areas, and, in conjunction with voice guidance, forms an instant closed loop of "detection-analysis-correction"; the pressure heat map and classification results displayed on the mobile APP are visualized, allowing users to intuitively understand motion abnormalities and improve correction efficiency.

[0049] The present invention has a high degree of system integration and a wide range of applicable scenarios: the overall design takes into account flexibility (adapting to different foot shapes), durability (waterproof and bend-resistant) and portability, and can be directly embedded in everyday footwear. It is suitable for multiple scenarios such as clinical arch rehabilitation, pathological gait correction, and athlete movement optimization, and has strong practical value and promotion prospects.

[0050] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and disclosure of the invention. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0051] It should be understood that the present invention is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

[0052] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An intelligent correction system based on pressure-motion correlation analysis, characterized in that, The system includes a flexible sensing insole body (1), an energy autonomous module (2), a microprocessor control module (3), an intelligent analysis module (4), and a real-time display and feedback module (5). The flexible sensing insole body 1 is provided with N pressure monitoring areas, each of which integrates a flexible capacitive pressure sensor to form an N-channel pressure sensing array. The microprocessor control module (3) is connected to the N-channel pressure sensing array and the energy autonomous module (2), and the microprocessor control module (3) is connected to the intelligent analysis module (4) and the real-time display and feedback module (5).

2. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The energy self-sufficiency module (2) is an integrated structure of nano-perovskite solar cells and high-capacity lithium-sulfur nano-cells.

3. The intelligent correction system based on pressure-motion correlation analysis according to claim 2, characterized in that, The nano-perovskite solar cell is used for photocharging; the lithium-sulfur nanocell is used for energy storage.

4. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The intelligent analysis module (4) uses a random forest model to determine the type of foot arch abnormality.

5. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The intelligent analysis module (4) uses a one-dimensional neural network model to identify pathological gait categories.

6. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The intelligent analysis module (4) extracts the temporal features of pressure transfer rate, left and right foot pressure difference, and foot arch area pressure duration within the gait cycle from the N-channel pressure data, compares the temporal features with the preset normal gait database, and outputs the foot arch abnormality type and pathological gait category.

7. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The zoned vibration of the real-time display and feedback module (5) corresponds to the heel area, inner arch area, inner forefoot area, outer forefoot area, and toe area of ​​the insole.

8. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The flexible capacitive pressure sensor includes a lower electrode (21), a dielectric layer (22), and an upper electrode (23).

9. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The flexible capacitive pressure sensor measures 1cm × 1cm and can detect pressures ranging from 0.1 Pa to 1.4 MPa.

10. The intelligent correction system based on pressure-motion correlation analysis according to claim 1, characterized in that, The real-time display and feedback module (5) is connected to the microprocessor control module (3) via Bluetooth 5.0 wireless communication.

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