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
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Updated
Dec 30, 2020 - Python
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
Gesture Recognition by Instantaneous Surface EMG Images
Machine learning code implemented for hand gesture recognition using EMG data from the Ninapro db1 database. Report Link: https://drive.google.com/file/d/1vHzUKKFz1ifAaLOw91Sb41zo3zN5qRJl/view?usp=sharing
Surface EMG-based Inter-session Gesture Recognition Enhanced by Deep Domain Adaptation
Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.
Surface electromyography based gesture recognition based on dual-stream CNN
Semi-supervised Learning for Surface EMG-based Gesture Recognition
Progressive Fusion Network (PFNet) for Integration of Domain Knowledge Guided Feature Engineering and Deep Feature Learning in Surface Electromyography Based Hand Movement Recognition
Hierarchical View Pooling Network (HVPN) for Surface Electromyography Based Hand Movement Recognition
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