nikhil-garg/EMG_exp
This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
This project helps researchers and engineers working with Electromyography (EMG) signals for hand gesture recognition. It processes raw EMG data to classify specific hand gestures (like rock, paper, scissors, or different pinches) using neuromorphic computing principles. The output is a classification of the hand gesture, along with performance metrics like SVM or LDA scores. This is intended for neuromorphic computing researchers, biomedical engineers, or signal processing specialists.
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Use this if you are a researcher in neuromorphic computing or biomedical engineering looking to implement and evaluate spike-based classification of EMG hand gestures.
Not ideal if you need a plug-and-play solution for commercial hand gesture control systems or if you are not comfortable with Python scripting and research-oriented code.
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Mar 15, 2022
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