🦾 Detect hand movements using EMG signals with EMD-CCT feature extraction and a Transformer model for accurate gesture classification.
-
Updated
Nov 13, 2025 - Python
🦾 Detect hand movements using EMG signals with EMD-CCT feature extraction and a Transformer model for accurate gesture classification.
Grip is a functional robotic hand controlled by muscle activity and/or neural signals. Using non-invasive sensors (such as surface EMG), the system translates user intent into precise hand movements. The project combines mechanical design, embedded systems, and AI-driven gesture recognition for intuitive and natural control
Personal AI portfolio and academic website | clinical ML, gait analysis, and explainable AI.
Muscle-powered robotic arm for surgical sterilization.
Biosignal Processing in Python
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Chords is a web application that transforms your Arduino board into a powerful bio-potential signal acquisition tool, allowing you to visualize and record ECG, EMG, EOG, and EEG data directly in your browser.
Python library for real-time gait modulation prediction using multimodal neural and movement data (LFP, EEG, IMU, EMG) — designed for closed-loop DBS systems in Parkinson’s disease.
Python API for Mentalab biosignal aquisition devices
Tools and demos for working with EMG data from intan using python
AI-powered gesture classification from EMG signals
EMG-Based Hand Movement Detection using EMD-CCT feature extraction with a Transformer model.
Pythonic wrapper library for Cometa sEMG Waveplus devices
This small suite helps you detect bruxism and interrupt it.
Add a description, image, and links to the emg topic page so that developers can more easily learn about it.
To associate your repository with the emg topic, visit your repo's landing page and select "manage topics."