manfredoatzori / PaWFE---Parallel-Window-Feature-ExtractionLinks
Parallel signal feature extraction code. The code was originally written for sEMG, but it can be applied to other data arranged as multiple sequences of values (e.g. EEG).
☆46Updated 5 years ago
Alternatives and similar repositories for PaWFE---Parallel-Window-Feature-Extraction
Users that are interested in PaWFE---Parallel-Window-Feature-Extraction are comparing it to the libraries listed below
Sorting:
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆101Updated 4 years ago
- ☆18Updated 6 years ago
- ☆19Updated 2 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆62Updated 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
- ☆32Updated 6 years ago
- Code repo of the paper "A Multi-stream Convolutional Neural Network for sEMG-based Gesture Recognition in Musclecomputer interface".☆25Updated 6 years ago
- ☆32Updated 2 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆33Updated 6 years ago
- Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.☆24Updated 6 years ago
- ☆20Updated 3 years ago
- A custom sEMG dataset developed with the Myo Armband for hand gesture classification☆41Updated 5 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆66Updated 6 years ago
- GANs for generating EMG signals☆85Updated 5 years ago
- Python functions and important data for working on NinaPro database 1 & 2☆22Updated 2 years ago
- Surface Electromyograph (SEMG) Control for a robotic hand☆13Updated 5 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆37Updated 6 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
- Improved sEMG-based gesture recognition☆61Updated 5 years ago
- sEMG function in MATLAB☆21Updated 6 years ago
- Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.☆16Updated 2 years ago
- A feature extraction toolbox for EMG signals written in MATLAB☆32Updated 8 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆35Updated 3 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆105Updated 4 years ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition i…☆11Updated 7 months ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆28Updated 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
- The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.☆31Updated 3 years ago