Neuroprosthetic Hand EMG Controller Kit with ESP32 + Servo
Build a Muscle-Controlled Prosthetic Hand with This ESP32 EMG Kit
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
This advanced Neuroprosthetic Hand EMG Controller Kit places the future of wearable robotics in your hands. You'll transform raw muscle signals from your forearm into precise mechanical movements, controlling five servos to replicate a natural grip, delicate pinch, and full extension. Designed for serious builders, it merges biomedical sensing with embedded control ā exactly the kind of project found in cutting-edge prosthetics research.
What You'll Build
You will assemble a complete prosthetic hand frame driven by three-channel surface electromyography. By placing electrodes on your forearm, the system reliably distinguishes between muscle patterns for open-hand extension, power grip, and pincer pinch. An onboard ESP32 runs the classification algorithm and drives the servos through a PCA9685 driver, while the OLED displays real-time signal strength and recognized gesture. The result is a responsive, bio-controlled hand that moves with your intention ā no pre-recorded scripts.
What You'll Learn
- Capture and amplify microvolt-level EMG signals using the Muscle BioAmp Candy and filter muscle noise.
- Extract time-domain features from three independent EMG channels to differentiate gestures.
- Train and deploy a lightweight classifier on the ESP32 for real-time gesture recognition.
- Control five MG90S micro servos simultaneously via the PCA9685 I²C driver, mapping classified output to finger trajectories.
Kit Contents
| Component | Quantity |
|---|---|
| ESP32 Dev Board | 1 |
| Muscle BioAmp Candy | 3 |
| Electrode Patch | 12 |
| MG90S Servo | 5 |
| PCA9685 Servo Driver | 1 |
| 0.96in OLED | 1 |
| 5V 3A PSU | 1 |
| LM2596 Buck Converter | 1 |
| 100nF Caps | 10 |
| 4.7kΩ Resistors | 5 |
| PCB Prototype Board | 3 |
| 3D Printed Hand Frame | 1 |
| 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 kit is built for B.Tech ECE, EEE, and biomedical engineering students tackling final-year projects or Smart India Hackathon healthcare themes. Researchers at IIT, NIT, VIT, and BITS exploring myoelectric control will find the pre-validated signal chain immediately productive. Professionals in wearable device prototyping and ATL Tinkering Lab mentors guiding advanced student groups will appreciate the ready-to-run EMG pipeline and mechanical assembly.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project ā 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 on the box to access your AI companion, trained on this exact neuroprosthetic hand build. For tricky issues, human support is one WhatsApp message away.
Is prior experience with EMG signals required?
You'll need solid embedded C/C++ and basic signal processing familiarity, but the AI assistant walks you through electrode placement, gain setting, and feature extraction step by step. Most advanced makers bridge the gap in the first session.
What if my muscle signals are too weak to trigger movement?
The Muscle BioAmp Candy provides up to 1000x gain with adjustable filters. The AI companion helps you fine-tune electrode position and algorithm thresholds during calibration until clean, repeatable recognition is achieved.
Can I adapt the 3D printed hand frame for a custom prosthetic shell?
Absolutely. The servo mount points and tendon routing are documented in the STL files and build guide. You can modify the design for a specific recipient or experiment with different finger linkages.
Three-channel EMG from forearm muscles decoded into grip, pinch and extend commands for servo prosthetic hand.
What's in this kit
- ESP32 Dev Board
- Muscle BioAmp Candy x3
- Electrode Patch x12
- MG90S Servo x5
- PCA9685 Servo Driver
- 0.96in OLED
- 5V 3A PSU
- LM2596 Buck Converter
- 100nF Caps x10
- 4.7kΩ Resistors x5
- PCB Prototype Board x3
- 3D Printed Hand Frame
- Soldering Iron
- Solder Wire
Choose your assembly option:
- Soldering Kit ā 25W soldering iron, 60/40 solder wire, flux, and small perfboard for permanent assembly.
- Breadboard Combo ā 800-point full-size breadboard with 65-piece jumper wire pack for solderless prototyping.
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Shipping Information
- Prepaid Orders: ā¹75 for orders up to ā¹999, FREE shipping above ā¹999
- COD Orders: ā¹125 shipping + ā¹50 COD fee = ā¹175 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