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).
☆50Updated 6 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…☆106Updated 5 years ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆65Updated 6 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆37Updated 6 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆123Updated 5 years ago
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆46Updated 2 years ago
- Code for our paper☆11Updated 7 years ago
- The source code for the the manuscript titled [M. AbdelMaseeh, T. W. Chen and D. W. Stashuk, "Extraction and Classification of Multichann…☆24Updated 4 years ago
- GANs for generating EMG signals☆89Updated 5 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 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…☆68Updated last year
- ☆32Updated 2 years ago
- ☆20Updated 6 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆41Updated 4 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆72Updated 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
- ☆34Updated 7 years ago
- ☆20Updated 2 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆39Updated 6 years ago
- ☆22Updated 3 years ago
- sEMG-based gesture recognition using deep learnig☆450Updated 4 years ago
- The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.☆33Updated 4 years ago
- Decomposition of sEMG signals via Blind Source Separation☆14Updated 9 months ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 5 years ago
- This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition i…☆13Updated last year
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆115Updated 6 years ago
- Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.☆24Updated 6 years ago
- Improved sEMG-based gesture recognition☆66Updated 6 years ago
- sEMG function in MATLAB☆24Updated 7 years ago