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
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
Gesture Recognition by Instantaneous Surface EMG Images
Surface EMG-based Inter-session Gesture Recognition Enhanced by Deep Domain Adaptation
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
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