louisc-s/Machine-Learning-Technologies-on-EMG-for-Hand-Gesture-Recognition
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
This project helps researchers and engineers develop systems for interpreting human hand movements. It takes raw electromyography (EMG) signals, typically from a database like Ninapro DB1, and outputs a classification of 15 distinct hand gestures. This is useful for those working on prosthetics, human-computer interfaces, or rehabilitation robotics.
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Use this if you need pre-built machine learning and deep learning models to classify hand gestures from sEMG data.
Not ideal if you are looking for a plug-and-play application for real-time gesture recognition without any coding.
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Jan 23, 2024
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