shayanalibhatti/Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand

This gripper project is cataloged as physical design under shayanalibhatti. The repository describes classifying Myo Armband EMG data with neural networks.

Source repository: https://github.com/shayanalibhatti/Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand

Project facts

• Category: gripper
• Kind: physical design
• License: gpl-3.0
• GitHub stars: 89
• BOM lines indexed: 0
• Last updated: 2026-08-26

Bill of materials

No BOM lines have been resolved for this project yet.

Repository files indexed (8)

2 firmware files, 2 configuration files, 1 document, 3 images. Paths are exactly as they appear in the project's repository; RoboPartPicker lists only files it has actually indexed.

firmware files (2)

• robotic_hand_code_five_movements.ino
• robotic_hand_code_twelve_movements.ino

configuration files (2)

• thesis_code_realistic_five_movements.py
• thesis_code_realistic_movements.py

document (1)

• README.md

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