parasgulati8 / NinaPro-Helper-Library
A helper library to perform essential manipulations on time-series EMG data of NinaPro DB2
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for NinaPro-Helper-Library
- ☆29Updated last year
- A sample python package deployment utility for NINAPRO dataset.☆11Updated 9 months ago
- Surface Electromyograph (SEMG) Control for a robotic hand☆10Updated 4 years ago
- ☆16Updated last year
- Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.☆23Updated 5 years ago
- Improved sEMG-based gesture recognition☆54Updated 4 years ago
- The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.☆27Updated 3 years ago
- Python functions and important data for working on NinaPro database 1 & 2☆20Updated last year
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆56Updated 5 years ago
- Convolutional Neural Networks On Ninapro datasets☆15Updated 6 years ago
- Code for the paper "A Convolutional neural network for sleep stage scoring from raw single-channel EEG"☆58Updated 7 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆31Updated 3 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆10Updated 3 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…☆41Updated 5 years ago
- Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.☆25Updated last year
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆86Updated 3 years ago
- 基于小波变换和卷积神经网络的脑电运动成像信号分类☆36Updated 3 years ago
- Deep Learning approaches for sEMG-based gesture recognition☆2Updated 5 years ago
- ☆18Updated 2 years ago
- 肌电信号深度学习毕业论文☆26Updated 7 months ago
- ☆15Updated 5 years ago
- i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG…☆18Updated 3 years ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆74Updated 3 years ago
- Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network☆102Updated 5 years ago
- A list of papers for motor imagery using machine learning/deep learning.☆60Updated 3 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆31Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆30Updated 9 months ago
- A list of papers for physiological signal classification using machine learning/deep learning.☆222Updated 2 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆83Updated 4 years ago