Smart wearable jacket and ai application for comprehensive movement correction

Abstract

The "Smart Wearable Jacket and AI Application for Comprehensive Movement Correction" addresses the shortcomings of current exercise apps, which lack real-time posture correction, force measurement, and precision in monitoring muscle engagement. These apps often rely on visual data, missing critical biomechanical feedback. Our invention combines sensors (IMUs, EMG, flex sensors) embedded in a wearable system to track body alignment and muscle activity, providing instant corrections via an AI- powered app. With haptic feedback and detailed post-workout analysis, it offers personalized, real-time guidance to improve exercise form and prevent injury.

Description

English DescriptionDescription

[0001] Title of Invention : Smart Wearable Jacket and Al Application for Comprehensive Movement CorrectionTechnical Field

[0002] A41D - Outerwear; Protective Garments (wearable technology, particularly for fitness or medical purposes).Background ArtThere are recent inventions addressing these problems:

[0003] Al-Powered Squat Correction App: Uses deep learning to analyze squat postures in real-time, providing visual feedback to help users correct their form without the need for an expensive personal trainer. This app has shown significant improvements in users' squat techniques during home workouts.

[0004] PostureScreen Mobile: Integrates computer vision and augmented reality to provide detailed posture and movement assessments, widely used by fitness professionals to analyze body movements and prescribe corrective exercises.

[0005] BlazeFit Al Exercise Analysis System: Utilizes MediaPipe technology to track body posture and provide realtime feedback during workouts, particularly effective for exercises requiring precise body alignment, such as yoga and Pilates(

[0006] Home Alone Exercise Coaching App: Developed during the COVID-19 pandemic, it uses deep neural networks to offer personalized workout coaching, providing real-timeEnglish Description feedback on exercise form and helping users maintain proper posture during remote exercise sessions.Technical Problem

[0007] Many exercise training applications rely on visual guides like pictures, videos, and descriptions. However, these methods alone often fall short in ensuring correct exercise performance. Without real-time feedback, users may unknowingly develop improper habits, leading to ineffective workouts or even injury. Hiring a personal trainer, while effective, poses several challenges: it is costly (typically $62-70 per hour), trainers are not always accessible in all locations, their availability is limited, and scheduling sessions can be difficult.

[0008] Current exercise apps struggle with several key issues: they cannot measure the forces applied to muscles, detect poor posture, or provide immediate correction. These apps often depend on visual data, which lacks the precision required for accurate assessments. Most offer generic programs and delayed feedback, which fails to address individual needs or real-time errors. Additionally, existing apps cannot adapt to the dynamic nature of exercise movements, often leading to repetitive mistakes without correction. They also lack the ability to track or analyze biomechanical aspects like joint angles and body weight distribution, which are crucial for safe and effective training. Relying on user input or manual tracking, these apps often miss subtle posture or form changes, potentially leading to longterm issues if not corrected early. The absence of real-time, personalized feedback makes these solutions inadequate for those seeking to improve their technique and avoid injury.Solution to Problem

[0009] Our invention introduces a specially designed vest and shorts, embedded with a sophisticated array of sensors, including inertial measurement units (IMUs), electromyography (EMG) sensors, and flex sensors. IMUs measure orientation, angular velocity, and linear acceleration, providing detailedEnglish Description insights into the user’s movements. EMG sensors detect muscle activity by measuring the electrical signals generated during muscle contractions, allowing the system to assess muscle engagement and fatigue. Flex sensors measure joint bending to monitor posture and alignment with high precision.

[0010] The core functionality revolves around real-time monitoring of the user’s movements. The data collected from these sensors — tracking muscle activity, body alignment, and joint angles — is continuously transmitted to an Al- powered mobile application. The Al, built on advanced machine learning algorithms, compares this real-time data against an extensive library of ideal body positions and movement patterns, based on biomechanical analysis and expert guidelines.

[0011] When the Al detects discrepancies between the user’s current posture and the ideal posture, it generates corrective feedback, instantly displayed on the mobile application. The app features a user-friendly interface with color-coded indicators and intuitive symbols, making it easy for the user to understand where adjustments are needed. For example, if a user's spine alignment is incorrect during a deadlift, the app might highlight this area in red and provide detailed correction instructions. The app also supports voice guidance for real-time audio cues.

[0012] To enhance the user experience, the vest and shorts are equipped with haptic feedback mechanisms, including strategically placed vibration motors to provide immediate physical feedback. When the Al identifies an incorrect posture, these motors deliver vibrations to specific body areas, guiding the user to correct their form on the spot. The vibration strength and pattern are tailored to the specific correction needed, ensuring quick and intuitive adjustments.

[0013] The sensors can also measure the pressure exerted on muscles during exercises, using force-sensitive resistors (FSRs) integrated into the fabric to detect the force applied by different muscle groups. The Al analyzes this data to determine whether the user is lifting the appropriate weight and recommends adjustments if necessary.English Description

[0014] The mobile application offers a comprehensive post-workout analysis, providing a detailed report after each session. This report includes metrics such as movement accuracy, muscle engagement, and posture consistency. It highlights errors or deviations from the correct form, offering tips for improvement. The Al tracks progress over time, allowing users to see improvements and adjust their training regimen based on the collected data. As the Al gathers more data, it refines its recommendations, providing increasingly personalized guidance, ensuring the system becomes more effective with use.Advantageous Effects of Invention

[0015] Real-Time Feedback: Immediate corrections during exercises help users adjust posture and form on the spot, significantly reducing injury risks.

[0016] Comprehensive Body Monitoring: Advanced sensors like IMUs, EMG, and flex sensors monitor various body aspects, ensuring a holistic approach to exercise form.

[0017] Precision in Posture Correction: The Al accurately identifies and corrects even minor deviations from proper form.

[0018] Haptic Feedback for Immediate Adjustment: Integrated vibration motors guide users to correct their posture without delay, enhancing workout safety and effectiveness.

[0019] Visual and Audio Guidance: The app provides visual indicators and voice cues, improving user experience.

[0020] Pressure Measurement for Optimal Weight Selection: The system helps users choose the correct weight for exercises, preventing injuries and optimizing workout effectiveness.

[0021] Post-Workout Analysis: Detailed reports after each session highlight errors and offer tips for continuous improvement.

[0022] Personalized Training Experience: The Al adapts to each user’s needs, providing increasingly tailored guidance over time.

[0023] Accessible Training: The system makes effective training accessible to a broader audience, eliminating the need for expensive personal trainers.English Description

[0024] Enhanced Safety: Continuous monitoring and immediate corrections reduce injury risks, especially in exercises requiring precise form and alignment.

[0025] Data-Driven Progress Tracking: Users can track their progress over time, helping them stay motivated and focused.

[0026] Correction of Muscle Imbalances: The system detects and corrects muscle imbalances, essential for balanced strength and preventing long-term injuries.

[0027] Improved Training Efficiency: Ensuring correct exercise performance helps users achieve better results in less time.

[0028] Customizable to Various Exercises: The Al supports a wide range of exercises, making the system versatile and suitable for different workouts.

[0029] Continuous Learning and Adaptation: The Al continually improves its recommendations as it learns more about the user’s body and habits.Description of Embodiments

[0030] the Smart Wearable Jacket (1 ) comprises an inner layer designed to be sweat- and moisture-resistant, offering comfort during intense exercise. The outer layer (2) provides durability and protection. Elastic straps and belts (3) adjust the vest and shorts, ensuring a snug fit for any body type. Integrated throughout the garment are multiple sensors (4), strategically placed to cover critical muscles in the arms, back, shoulders, chest, abdomen, and thighs.

[0031] These sensors include EMS sensors (4-1 ) that collect data on muscle activity and IMUs (4-2), which measure the velocity and orientation of body segments during movement. A digital display (5) shows the pressure exerted on target muscles, providing real-time feedback to users.

[0032] Air filters (6) allow ventilation, preventing overheating during exercise. The electronic components are housed in a moisture-proof, impactresistant compartment (7), protecting the system from environmental factors. Inside this compartment, a custom-designed board (7-1 )English Description processes the collected sensor data and transmits it to a mobile application, enabling detailed monitoring.

[0033] To enhance the user experience, vibration motors (8) are positioned on major muscles, providing haptic feedback to correct movements in real time. Two indicator lights (9), one green and one red, help guide users by signaling proper or incorrect posture during exercises.

[0034] This comprehensive system ensures precision in tracking and correcting movements, minimizing the risk of injury and optimizing workout performance.Industrial Applicability

[0035] 1- Prototype Development and Testing: o Sensor Integration: Integrate sensors like IMUs, EMG sensors, and flex sensors into the vest and shorts, strategically placing them to capture relevant data on muscle activity, body alignment, and joint angles. o Data Acquisition and Al Training: Develop a system to collect and store sensor data in real-time for Al training, using a comprehensive dataset of exercises performed with correct form. o Feedback Mechanism Development: Design a haptic feedback system with vibration motors that interpret Al analysis and provide real-time tactile feedback. Develop the mobile app interface to display visual corrections and provide audio cues. o Prototype Testing: Test the prototype with diverse users, gathering feedback on real-time corrections, Al accuracy, and user experience with haptic feedback, refining the system accordingly.

[0036] 2- Software and Application Development: o Al and Machine Learning Model Development: Develop and finetune Al algorithms to compare real-time sensor data with stored ideal movement patterns, capable of learning and adapting to unique biomechanics.English Description o Application Development: Build a user-friendly mobile app that integrates seamlessly with wearable sensors, displaying real-time data, visual and audio feedback, and post-workout analysis. Ensure compatibility with Android and iOS. o Cloud Integration for Data Storage and Analysis: Implement cloud services for secure data storage, enabling Al to access a large dataset for more sophisticated analysis and update the Al model as more user data is collected.

[0037] These methods focus on iterative development and user feedback to ensure an effective and user-friendly final product. By prioritizing sensor accuracy, Al adaptability, and real-time feedback, the system provides users with tools to enhance exercise routines and reduce injury risks.

Claims

English ClaimsClaims

1. A wearable system for real-time movement correction, comprising: a. A smart jacket and shorts embedded with sensors, including inertial measurement units (IMUs), electromyography (EMG) sensors, and flex sensors; b. An Al-powered mobile application to monitor and analyze body movements during exercise; c. Haptic feedback mechanisms embedded within the wearable for realtime correction of posture and form.

2. Based on Claim 1 , wherein the IMUs measure the user's orientation, angular velocity, and linear acceleration to track joint angles and body alignment.

3. Based on Claim 1 and Claim 2, wherein the EMG sensors detect and monitor electrical signals generated by muscle contractions to assess muscle activity during exercise.

4. Based on Claim 1 and Claim 2, wherein the flex sensors detect joint bending to evaluate posture accuracy during movement.

5. Based on Claim 1 , Claim 2, and Claim 3, wherein the Al-powered mobile application provides corrective feedback based on real-time biomechanical data compared with an ideal movement database.

6. Based on Claim 1 , Claim 5, wherein the corrective feedback is displayed on the mobile application using visual, audio, and color-coded cues for user guidance.

7. Based on Claim 1 , Claim 2, and Claim 3, wherein the haptic feedback mechanisms provide physical vibrations to the user to guide immediate posture correction.

8. Based on Claim 1 and Claim 7, wherein the intensity and pattern of the haptic feedback mechanisms are dynamically adjusted based on the detected posture deviation, with different vibration strengths and patterns guiding the user to correct specific body positions during exercise.English Claims

9. Based on Claim 1 , wherein the wearable system includes force-sensitive resistors (FSRs) to detect the force exerted by muscles, allowing the system to recommend adjustments in weight usage during exercise.

10. Based on Claim 1 , wherein the Al application provides a post-workout analysis, offering detailed metrics on movement accuracy, posture consistency, and muscle engagement.

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