Abstract: A fuzzy logic system with center average defuzzifier, product-inference rule, nonsingleton fuzzifier and Gauss membership function is discussed.
Yang et al. (1996) and Chan et al. (2000) proposed a new fuzzy approach for EMG recognition based on most of the same time-segmented features ...
A new fuzzy approach for pattern recognition with application to. EMG classification. Author(s). Yang, YS; Lam, FK; Chan, FHY; Zhang, YT; Parker, PA. Citation.
This fuzzy system is called ISO-FUZ. An application in EMG signal classification is presented. Section I1 introduces the formation, training, implementation and ...
A new fuzzy approach for pattern recognition with application to EMG classification ... A new EMG pattern classification method based on soft computing ...
Oct 30, 2007 · Abstract, A fuzzy logic system with center average defuzzifier, product-inference rule, nonsingleton fuzzifier and Gauss membership function ...
Fuzzy EMG classification for prosthesis control - Academia.edu
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CONCLUSION This paper has proposed a new fuzzy approach for classification of EMG patterns. The training process and classification results of the proposed ...
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This paper presents a heuristic fuzzy logic approach to multiple electromyogram (EMG) pattern recognition for multifunctional prosthesis control.
This book presents a fuzzy approach to the problems of pattern recognition, machine learning, and, especially, speech recognition. The first three chapters are ...
For the purpose of increasing the recognition accuracy, we proposed a new recognition method combining fuzzy entropy (FuzzyEn) with multi-scale analysis.