Classify Gait Disorders with ESP32 & MPU6050 Kit
Build an AI Gait Disorder Classifier with ESP32 & MPU6050
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Step into the future of health monitoring by building a wearable that classifies normal versus abnormal gait - entirely on-device. Three MPU6050 IMUs strapped to the hip, knee, and ankle capture 6DOF motion data, which the ESP32 processes using TensorFlow Lite. This kit delivers a complete, research-grade platform for prototyping mobility assessment tools without cloud dependency.
What You'll Build
A fully wearable gait analysis device that captures synchronized motion data from three body points, timestamps it with an RTC, logs to a microSD card, and displays real-time classification results on an OLED screen. The system can differentiate between subtle limps, asymmetric strides, and smooth walking patterns, making it a powerful educational tool for clinical research and physiotherapy studies.
What You'll Learn
- Deploy a TensorFlow Lite model on ESP32 for on-device inferencing.
- Synchronize multiple I2C sensors using a multiplexer for multi-node data capture.
- Time-series analysis of 6DOF inertial data for motion pattern classification.
- Design a battery-powered wearable electronics system with data logging.
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| MPU6050 | 3 |
| TCA9548A I2C Multiplexer | 1 |
| DS3231 RTC Module | 1 |
| MicroSD Card Module | 1 |
| 0.96in OLED Display | 1 |
| TP4056 Charging Module | 1 |
| 3.7V LiPo Battery 1000mAh | 1 |
| 4.7k? Resistor | 10 |
| 100nF Ceramic Capacitor | 15 |
| PCB Prototype Board | 3 |
| Velcro Straps | 3 |
| Soldering Iron | 1 |
| Solder Wire | 1 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This advanced kit is designed for biomedical engineering students (B.Tech/M.Tech in ECE/EEE), research scholars developing gait rehabilitation tools, and professional engineers at med-tech startups. It's equally suited for hackathon enthusiasts at Smart India Hackathon or makerspaces at IIT, NIT, VIT, and BITS Pilani who want to explore edge AI for healthcare.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Scan the QR code in the box to chat with our AI companion, trained on this exact gait classifier project. For complex queries, reach out via WhatsApp at +91-XXXXXXXXXX.
Do I need prior experience with TensorFlow Lite?
Familiarity with Python and basic machine learning is helpful, but the AI companion provides step-by-step model conversion and deployment code. You'll learn as you build.
Can this kit be used for real clinical diagnosis?
This kit is an educational and prototyping tool. It demonstrates the concept but is not a medical device. Always validate with professional medical equipment.
How do I strap the sensors to the body?
Three adjustable velcro straps securely hold the MPU6050 nodes at hip, knee, and ankle. The included PCB boards are designed to be lightweight and non-obtrusive.
IMU array at hip, knee and ankle captures 6DOF gait data. TensorFlow Lite classifies normal vs. abnormal gait.
What's in this kit
Choose your assembly option:
- Soldering Kit - 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo - 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items