A Study on the Synthesis of HMM and GA-MLP for EMG Signal Recognition

초록

In this paper, we suggested the combination of HMM(Hidden Markov Model) and MLP(Multi-Layer Perception) with GA(Genetic Algorithm) for a recognition of EMG signals. To describe EMG signal's dynamics properties, HMM algorithm was adapted and due to its outstanding abilities in static signal classification. MLP was connected as a real processor. We also used GA for improving MLP's learning rate. Experimental results showed that the suggested classifier gave higher EMG signal recognition rates with faser learning time than other ones.