🎯 Posture Corrector Device

🎥 Demo Videos

Explore both iterations in action:

• ▶️ ESP32 + OpenCV-based Posture Corrector (2nd Iteration)
• ▶️ Arduino-based Posture Corrector (1st Iteration)

📁 Watch the Demo Videos on Google Drive

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🧠 Overview

A wearable device that uses real-time sensor feedback and computer vision to promote proper posture.

This device monitors upper back and neck posture using an MPU-6050 sensor and a custom OpenCV model. Upon detecting poor posture, it emits an audible alert via a buzzer to notify the user.

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🔧 First Iteration (Prototype)

• Built using an Arduino Uno R3, MPU-6050, and a breadboard.
• Detected angular deviations in back posture and triggered a buzzer during slouching.

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🚀 Second Iteration (Refined)

• Upgraded to an ESP32 microcontroller for wireless communication and improved performance.
• Integrated an OpenCV + MediaPipe model to track neck posture using webcam input and calculate head tilt angles.
• Real-time communication between OpenCV and ESP32 triggers the buzzer when poor neck posture is detected.
• Designed a 3D-printed wearable enclosure using SolidWorks to house the electronics.
• 📂 Computer vision source code: OpenCV Posture Model

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🛠️ Hardware Improvements

• Designed a custom PCB to replace the breadboard, enhancing compactness, reliability, and ease of assembly.
• A new SolidWorks 3D enclosure is in development for the updated hardware version.