taowucheng1026 / CNN-LDA-SVM-KNN-for-EMGLinks
A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extracted from the raw input image for three traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and K Nearest Neighbor (KNN).
☆19Updated 6 years ago
Alternatives and similar repositories for CNN-LDA-SVM-KNN-for-EMG
Users that are interested in CNN-LDA-SVM-KNN-for-EMG are comparing it to the libraries listed below
Sorting:
- 为肌电信号的处理和分类工具。☆30Updated 7 years ago
- Step event detection and stride length estimation based on leg-and-shoe-mounted EcoIMU and LSTM.☆26Updated 6 years ago
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆37Updated 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
- 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
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆67Updated 6 years ago
- MATLAB implementation of gait cycle validation and segmentation using inertial sensors.☆18Updated 4 years ago
- Codes for srt--hand gesture recognition using sEMG, including download data,data processing,machine learning.☆8Updated 6 years ago
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆49Updated 6 years ago
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆33Updated 5 years ago
- ☆11Updated 5 years ago
- sEMG feature extract and visual tools☆10Updated 6 years ago
- Using Machine Learning to determine Human Activity using data from 6 d.o.f. IMU sensor.☆19Updated 5 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆34Updated 6 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆106Updated 5 years ago
- sEMG function in MATLAB☆21Updated 6 years ago
- ☆18Updated 6 years ago
- Improved sEMG-based gesture recognition☆62Updated 5 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆103Updated 4 years ago
- ☆32Updated 6 years ago
- Surface EMG signal - Feature Extraction☆28Updated 4 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆35Updated 3 years ago
- 基于MYO的表面肌电数据采集与分析程序☆13Updated 5 years ago
- Part of the datasets of the article " Robust Gait Recognition by Integrating Inertial and RGBD Sensors"☆9Updated 7 years ago
- Gesture Recognition by Instantaneous Surface EMG Images☆44Updated 7 years ago
- Intertial-based Human Activity Recognition with Transformers☆77Updated 4 years ago
- A library of different algorithms for Classification of EMG Signal using Python & Scikit Learn☆28Updated 3 years ago
- Data and Code of the paper Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion☆32Updated 8 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