Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)

• UpdatedJul 9, 2020
• Python

The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface electromyography (sEMG) signals (ICASSP 2021)

• UpdatedOct 31, 2024
• Python

Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.

• UpdatedFeb 7, 2023
• Python

Source code for multiple parameter modelling of synthetic electromyography data.

• UpdatedFeb 21, 2024
• Python

A toolbox for offline muscle activity onset/offset detection in multi-channel EMG data

• UpdatedApr 7, 2023
• MATLAB

Decomposition of sEMG signals via Blind Source Separation

• UpdatedJan 17, 2023
• Jupyter Notebook

My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

• UpdatedJun 30, 2021
• MATLAB

Bayesian self-adaptive pattern recognition for sEMG

• UpdatedJun 10, 2020
• C++

This repository contains sEMG Data of 13 subjects recorded with the Myo Armband.

• UpdatedJan 8, 2022

Computationally-free personalization at test time for sEMG gesture classification. Fast (gpu/cpu) ninapro API.

• UpdatedJun 24, 2024
• Python

A comprehensive sEMG dataset recorded at Mayo Hospital Lahore and National University of Sciences & Technology. It includes raw signals from healthy subjects and stroke patients performing six upper limb gestures, captured with Myo armband following rigorous ethical standards.

• UpdatedOct 11, 2023

Auto-learning search framework based on a weighted double Q-learning algorithm:"Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals"

• UpdatedJan 28, 2024
• Python

Python algorithm to assess muscle activation patterns during cyclical movements

• UpdatedJan 2, 2025
• Python

Shazam is an application used for audio segments recognition, based on digital fingerprint which are extracted from a time-frequency graph (spectrogram). In this approach, we extend its uses to sEMG signal classification .

• UpdatedApr 28, 2022
• MATLAB

Movement classification from sEMG signals across different subjects.

• UpdatedDec 13, 2023
• Jupyter Notebook

Collection of Arduino code for my bachelorthesis which is a cybernetic prosthetic prototype of the right arm that can be controlled via surface level EMG sensors on the lower forearm.

• UpdatedJul 12, 2024
• C++

A RNN Classification of various leg movements using different lower limb muscle sEMG data.

• UpdatedSep 15, 2020
• Jupyter Notebook

Blind source separation of sEMG signals on PULP platform

• UpdatedJun 2, 2023
• C

This Dataset contains measurements of wrist flexor muscles for 4 different gestures, initial starting position was: sitting with a 90° flexion angle of elbows, hips and knees.

• UpdatedApr 29, 2022

EMG-based Gesture Recognition for Robot Control

• UpdatedApr 5, 2021
• Jupyter Notebook