Integrated and predictive smart shoe insole

Abstract

A smart insole system and device that integrates advanced sensor technologies and predictive analytics to enhance user comfort, optimize biomechanics, and prevent injuries. The smart insole device has a sensor membrane layer fixed between a cushion insole and an insole frame. The sensor membrane layer communicates with a module and a network, sending data regarding a user's biomechanics for processing. The system is compatible with applications and cloud-based ecosystems, for full integration with a user's care plan.

What is claimed is: 
     
         1 . A smart insole system for monitoring biomechanical and biometric parameters, the system comprising:
 a force sensing resistor (FSR) assembly;   an insole frame;   a biometric smart module (BSM); and   a biometric sensor network (BSN) configured to communicate with a cloud-based analytics platform.   
     
     
         2 . The smart insole system of  claim 1 , wherein the force sensing resistor assembly comprises:
 a fabric layer comprising a hydrophobic coating and an adhesive layer, and wherein the fabric layer is configured to conform to the contours of a user's foot;   a substrate layer comprising a plurality of segments and force concentrators, wherein each segment is anatomically contoured and flexible; and   a sensor membrane layer comprising a plurality of force-sensing resistors (FSRs), wherein each of the FSRs are positioned to capture pressure data from a specific anatomical region of the foot.   
     
     
         3 . The smart insole system of  claim 1 , wherein the insole frame comprises a protective cavity configured to house the BSM and a plurality of shock vibration and absorption mounts. 
     
     
         4 . The smart insole system of  claim 1 , wherein the BSM comprises:
 a microprocessor;   a memory;   a 9-axis inertial measurement unit;   at least one wireless communication module;   a zero insertion force connector configured to interface with the FSR assembly.   
     
     
         5 . The smart insole system of  claim 4 , wherein the 9-axis inertial measurement unit comprises a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer and wherein the 9-axis inertial measurement unit is configured to provide motion tracking to measure angular velocity, acceleration, and magnetic field orientation. 
     
     
         6 . The smart sole insert system of claim of  claim 1 , wherein the BSN is configured to collect biomechanical data from the FSR assembly and the BSM, including pressure distribution, gait patterns, and balance metrics. 
     
     
         7 . The smart sole insert system of  claim 1 , wherein the BSM is integrated with a machine learning module or at least one artificial intelligence algorithm, or a combination thereof. 
     
     
         8 . The smart sole insert system of  claim 1 , wherein the cloud-based analytics platform is configured to aggregate, analyze, and store biomechanical data such that the system can make personalized injury recommendations and integrate with external biometric feedback control systems. 
     
     
         9 . A method for monitoring and improving user biomechanics, the method comprising:
 collecting biomechanical data from a force sensing resistor (FSR) assembly in a smart insole system;   capturing motion data from a 9-axis inertial measurement unit (IMU);   processing the biomechanical and motion data on a biometric smart module (BSM) housed in the smart insole system;   determining if the biomechanical and motion data are outside of a predetermined parameter;   transmitting the biomechanical and motion data outside of the predetermined parameter to an analytics platform via wireless communication modules; and   generating real-time alerts to indicate the user biomechanics are outside of the predetermined parameter.   
     
     
         10 . The method for monitoring and improving user biomechanics of  claim 9 , wherein the predetermined parameter is a user-specific biometric wellness profile comprising parameters defining the user's ordinary performance, a recovery protocol, or injury parameters, or any combination thereof. 
     
     
         11 . The method of monitoring and improving user biomechanics of  claim 9 , wherein the BSM is configured to amplify and digitize analog signals from the FSR assembly and the IMU and analyze the biomechanical data using machine learning or artificial intelligence algorithms, or a combination thereof. 
     
     
         12 . The method of monitoring and improving user biomechanic of  claim 9 , the method further comprising providing feedback to the user via a biometric feedback control system (BFCS), wherein the feedback comprises real-time alerts for a corrective action or personalized recommendations for injury prevention, recovery, and performance optimization, or any combination thereof. 
     
     
         13 . The method of monitoring and improving user biomechanics of  claim 9 , the method further comprising updating a user-specific profile with historic and/or real-time data to modify the predetermined parameter. 
     
     
         14 . The method of monitoring and improving user biomechanics of  claim 9 , wherein the 9-axis IMU comprises a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer. 
     
     
         15 . A smart insole, the insole comprising:
 a fabric layer, wherein the fabric layer is treated with a hydrophobic coating for moisture management and durability;   a substrate layer segmented into a plurality of anatomically contoured flexible sections;   a sensor membrane layer comprising a plurality of force sensing resistors (FSRs), wherein each FSR is positioned on one of the plurality of anatomically contoured flexible sections;   an insole frame, comprising a protective cavity, wherein the protective cavity comprising a plurality of shock and vibration absorption mounts;   a biometric smart module (BSM) configured to be removably inserted into the protective cavity; and   a comfort layer configured to be positioned on a top surface of the insole frame.   
     
     
         16 . The smart insole of  claim 15 , wherein the plurality of FSRs are configured measure pressure and force distribution across specific anatomical regions of a user's foot. 
     
     
         17 . The smart insole of  claim 15 , wherein the substrate layer further comprises a plurality of force concentrators configured to enhance the responsiveness of the plurality of FSRs. 
     
     
         18 . The smart insole of  claim 15 , wherein the BSM comprises:
 a microprocessor configured to process data from the FSRs and execute machine learning or artificial intelligence algorithms;   a memory module configured to store biomechanical data and a user-specific profile;   a wireless communication module; and   a zero insertion force (ZIF) connector configured to interface the BSM with the sensor membrane.   
     
     
         19 . The smart insole of  claim 15 , wherein the BSM further comprises a 9-axis inertial measurement unit (IMU) configured to capture motion data, including acceleration, orientation, and balance, wherein the IMU comprises a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer. 
     
     
         20 . The smart insole of  claim 15 , wherein the comfort layer comprises open-cell polyurethane.