sebastiankmiec / PythonMyoLinuxLinks
Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.
☆37Updated 6 years ago
Alternatives and similar repositories for PythonMyoLinux
Users that are interested in PythonMyoLinux are comparing it to the libraries listed below
Sorting:
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆33Updated 5 years ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆63Updated 6 years ago
- sEMG function in MATLAB☆21Updated 6 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆25Updated 3 years ago
- ☆18Updated 5 years ago
- Codes for srt--hand gesture recognition using sEMG, including download data,data processing,machine learning.☆8Updated 6 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆66Updated 6 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆105Updated 4 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆34Updated 3 years ago
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆59Updated 7 months ago
- Improved sEMG-based gesture recognition☆61Updated 5 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆38Updated 6 years ago
- A custom sEMG dataset developed with the Myo Armband for hand gesture classification☆40Updated 5 years ago
- Code repo of the paper "A Multi-stream Convolutional Neural Network for sEMG-based Gesture Recognition in Musclecomputer interface".☆24Updated 6 years ago
- shayanalibhatti / Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-HandThis repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to i…☆80Updated 4 years ago
- ☆32Updated 6 years ago
- ☆19Updated 2 years ago
- 基于MYO的表面肌电数据采集与分析程序☆13Updated 5 years ago
- Surface Electromyograph (SEMG) Control for a robotic hand☆12Updated 5 years ago
- Surface electromyography based gesture recognition based on dual-stream CNN☆10Updated last year
- sEMG feature extract and visual tools☆10Updated 6 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- Python functions and important data for working on NinaPro database 1 & 2☆22Updated 2 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆44Updated 7 years ago
- matlab functions for processing electromyography signals☆43Updated 4 years ago
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆38Updated last year
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆100Updated 4 years ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆32Updated 2 years ago
- Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multip…☆46Updated 5 years ago