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Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. This master thesis presents results from automatically generated Arduino code for some Neural Networks, Convolution Neural Networks and linear machine learning models that was impleme
