ZheWang98

Finger-Movement-Classification-via-Machine-Learning-using-EMG-Armband-for-3D-Printed-Robotic-Hand

This repository shows how to classify EMG data coming from Myo Armband using neural networks and interface a 3d printed robotic hand to imitate the classified movement

sEMG-HandGestureRecognition

Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)

my-tv

我的电视 电视直播软件，安装即可使用

toolbox

This code package can perform baseline results for "Hyser" EMG dataset.

styles

中文 CSL 样式

netlab

Fork of NETLAB toolbox written by Ian T. Nabney.

PatternRecognition_Matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

MATLAB_feature_extraction

MATLAB module to manually feature extract biosignals (EMG, MMG) for downstream pipeline usage.

EMG-Feature-Extraction-Toolbox

This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

EEG-Feature-Extraction-Toolbox

This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Speech-Emotion-Recognition

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

CNN

Using CNN features, SVM classifier and Transfer Learning

svm-parameter-selection

emg-data-analysis

Surface EMG signal - Feature Extraction