Sequential Recognition of EMG Signals Applied to the Control of Bioprosthetic Hand – Experimental Comparative Analysis of Methods
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چکیده
The paper presents a concept of bio-prosthesis control via recognition of user intent on the basis of EMG signal analysis. The contextual (sequential) recognition is considered and the following methods of sequential classification are explored: Bayes approach with Markov model, multilayer perceptron, multiclassifier with competence function, classifier based on fuzzy logic and classifier based on DempsterShafer theory of evidence. The concept of measurement stand which was the source of information exploited in the experimental investigations of algorithms is described. An experimental comparative analysis of the proposed algorithms for real data is performed and results are discussed. Key-Words: Bio-prosthesis, EMG signal, Sequential recognition
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تاریخ انتشار 2011