Fulin-Wei / UHD-sEMG-databaseLinks
UHD is a surface electromyogram (sEMG) signals database, including original sEMG signals, the starting points and the termination points from 10 subjects. The sEMG signals of 13 gestures towards 3 positions were collected in 6 days, formed 2340 files. These 3 positions are vertical upward, horizontal and vertical, abbreviated as U, H, D, respect…
☆11Updated 5 years ago
Alternatives and similar repositories for UHD-sEMG-database
Users that are interested in UHD-sEMG-database are comparing it to the libraries listed below
Sorting:
- The source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation maps of multi-channel surface el…☆63Updated 9 months ago
- Code repo of the paper "Surface Electromyography-based Gesture Recognition by Multi-view Deep Learning"☆63Updated 6 years ago
- A custom sEMG dataset developed with the Myo Armband for hand gesture classification☆41Updated 5 years ago
- Repo of awesome works on surface electromyography (sEMG) based hand gesture recognition.☆36Updated 3 years ago
- Hand Gesture Recognition via sEMG signals with CNNs (Electrical and Computer Engineering - MSc Thesis)☆108Updated 5 years ago
- 肌电信号深度学习毕业论文☆49Updated 4 months ago
- These codes for reading, pre-processing of sEMG, splitting of sEMG into windows of various sizes, extracting of sEMG features, normalizat…☆32Updated 2 years ago
- matlab functions for processing electromyography signals☆44Updated 4 years ago
- A RNN Classification of various leg movements using different lower limb muscle sEMG data.☆38Updated 6 years ago
- The processing flow of Ninapro datasets and the pytorch dataloader of the processed Ninapro data.☆32Updated 3 years ago
- Python package for offline and real-time myoelectric control by using sEMG and IMU signals [ALPHA].☆34Updated 6 years ago
- A sample python package deployment utility for NINAPRO dataset.☆13Updated last year
- sEMG-based gesture recognition using deep learnig☆418Updated 4 years ago
- Neural network for classifying electromyographic signals into distinct gestures. Additionally, a comparison of CNN vs LSTM implementation…☆67Updated 6 years ago
- sEMG function in MATLAB☆21Updated 6 years ago
- Surface electromyography based gesture recognition based on dual-stream CNN☆11Updated 2 years ago
- This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications…☆105Updated 4 years ago
- SDK of sEMG function of matlab☆18Updated 8 years ago
- Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.…☆41Updated last year
- Gather sEMG/IMU data from Myo armbands, and obtain real time predictions.☆37Updated 6 years ago
- This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition i…☆11Updated 9 months ago
- Evaluate gesture detection and recognition models on the NinaPro dataset and newly collected data.☆24Updated 6 years ago
- sEMG feature extract and visual tools☆10Updated 6 years ago
- Python functions and important data for working on NinaPro database 1 & 2☆22Updated 2 years ago
- 基于MYO的表 面肌电数据采集与分析程序☆13Updated 5 years ago
- Surface Electromyograph (SEMG) Control for a robotic hand☆13Updated 5 years ago
- The purpose of this unit is to introduce you to the measurement and analysis of electrical activity generated by skeletal muscle, includi…☆14Updated 3 years ago
- Codes for srt--hand gesture recognition using sEMG, including download data,data processing,machine learning.☆8Updated 6 years ago
- ☆32Updated 6 years ago
- This is BandMyo Dataset for sEMG based gesture recognition☆11Updated 4 years ago